Salah Mokred | Engineering | Best Researcher Award

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Dr.Salah Mokred | Engineering | Best Researcher Award

PhD Candidate at Southeast university ,China

Salah Mokred is an accomplished electrical engineer and power systems researcher, currently pursuing his Ph.D. in Electrical Engineering at Southeast University, China . With deep expertise in  power system stability, analysis, and planning, he has contributed significantly through high-impact research and international publications . Salah holds a Master’s degree in Electric Power Systems from North China Electric Power University and a Bachelor’s from Sana’a University . He served as a teaching assistant at Sana’a University and has also worked on critical infrastructure projects involving Yemen’s national grid . Known for his commitment to innovation and resilience, Salah combines technical excellence with leadership and collaboration . His work has been recognized with multiple honors and CSC scholarships . Proficient in MATLAB, ETAP, and technical programming , Salah continues to drive forward cutting-edge research in voltage stability and smart grid protection technologies.

Professional Profile

ORCID

GOOGLE SCHOLAR

📘 Education and Experience 

Salah Mokred’s academic path began with a B.Sc. in Electrical Engineering from Sana’a University, Yemen (2009–2013) . He then pursued his M.Sc. in Electric Power Systems at North China Electric Power University (2017–2020) , and is currently finalizing his Ph.D. in Electrical Engineering at Southeast University (2020–2024) . His research focuses on power system stability and voltage collapse prediction . Professionally, he worked as a Teaching Assistant at Sana’a University (2014–2016)  and contributed to Yemen’s national grid security through a project analyzing high-voltage line attacks . Salah also served as an engineering consultant at Garmah Plastic Company in 2016–2017 . His practical experience blends academic excellence with field applications, especially in power grid protection and distribution system enhancement . Salah’s expertise extends to technical tools like MATLAB, ETAP, FORTRAN, and PLC systems .

📈 Professional Development 

Salah Mokred continually expands his professional skills through academic research, international conferences, and specialized training programs . He has completed training in English and programming at SEEDS Education Center , and undertaken advanced technical courses in PLC control, power grid analysis, and power system protection relay selection . Salah has actively participated in IEEE conferences, contributing to papers on voltage stability indices, capacitor bank applications, and intelligent grid technologies . His strong computer proficiency includes MATLAB, ETAP, C, FORTRAN, and MS Office tools . Salah also demonstrates strong leadership, communication, and teamwork skills, enabling him to contribute effectively to multidisciplinary research and collaborative engineering projects . He continues to advance professionally through scholarly publications in top-tier journals (SCI, Q1/Q3) and by collaborating with peers and mentors at Southeast University .

🔬 Research Focus

Salah Mokred’s research is rooted in the domain of Electrical Engineering, particularly in Power Systems . His focus lies in Voltage Stability Assessment, Contingency Ranking, and Optimal Placement of Distributed Generators (DGs) in power grids . Salah develops modern stability indices and collapse prediction methods that support the secure planning and operation of both transmission and distribution systems . His work blends theoretical modeling with real-world applications to improve grid reliability, especially in weak bus identification and dynamic loadability estimation . Salah has also explored series capacitor technologies, smart distribution systems, and intelligent protection schemes using fast-switch devices and relays . His innovative methodologies are helping reshape how engineers evaluate and strengthen power networks in volatile environments. His interdisciplinary approach involves simulation, grid modeling, and data-driven analysis using tools like MATLAB and ETAP .

🏆Awards and Honors 

Salah Mokred’s academic journey has been recognized with multiple prestigious honors . He received the CSC Scholarship twice: once for his Master’s studies (2017) and again for his Ph.D. (2020) in China . From 2021 to 2023, he was awarded Honor Certificates and the Academic Excellence Award by the Embassy of Yemen in recognition of his scholarly performance . Salah was honored with the Excellence Shield from the Yemenis Students Union for his role in academic programs and youth engagement initiatives . He also received a Certificate of Achievement from Garmah Plastic Company in 2017 for his engineering consulting contributions . Additionally, Salah participated in the “Youth in Nanjing” cultural exchange and was recognized for his contributions to international student engagement and creativity through events like “Star-Moon Dream Night” . These accolades highlight both his technical acumen and active involvement in cross-cultural academic life.

Publication of Top Notes

1.Title: Modern voltage stability index for prediction of voltage collapse and estimation of maximum loadability for weak buses and critical lines identification

Authors: S. Mokred, Y. Wang, T. Chen
Journal: International Journal of Electrical Power & Energy Systems
Year: 2023
Citations: 58

2.Title: A novel collapse prediction index for voltage stability analysis and contingency ranking in power systems

Authors: S. Mokred, Y. Wang, T. Chen
Journal: Protection and Control of Modern Power Systems
Year: 2023
Citations: 44

3.Title: Voltage stability assessment and contingency ranking in power systems based on modern stability assessment index

Authors: S. Mokred, Y. Wang
Journal: Results in Engineering
Year: 2024
Citations: 14

4.Title: Comparison of the effect of series and shunt capacitor application in 25kV radial power distribution network

Authors: S. Mokred, Q. Lijun, G. Kamara, T. Khan
Conference: IEEE/IAS I&CPS Asia
Year: 2020
Citations: 10

5.Title: Protection performance during application of an intelligent and fast switch series capacitor to 25kV radial power distribution network

Authors: S. Mokred, Q. Lijun, T. Khan
Conference: IEEE/IAS I&CPS Asia
Year: 2020
Citations: 8

6.Title: Transient and protection performance of a fixed series compensated 500 kV transmission line during various types of faulty conditions

Authors: S. Mokred, Q. Lijun, T. Khan
Journal: Journal of Electrical Engineering & Technology
Year: 2021
Citations: 7

7.Title: Voltage stability estimation for complex power system based on modal analytical techniques

Authors: M.M.A. Seedahmed, S.A.S. Mokred, G. Kamara
Conference: IEEE SPIN Conference
Year: 2019
Citations: 7

8.Title: Smart design of distribution series capacitor bank application for improved voltage quality and motor start

Authors: S. Mokred, Q. Lijun, G. Kamara
Conference: IEEE/IAS I&CPS Asia
Year: 2020
Citations: 6

9.Title: Protection and Impact of Series Compensation Technology in High Voltage Transmission Line

Authors: S.A.S. Mokred, Q. Lijun, M. Ali
Journal: IJIEEE
Year: 2019
Citations: 3

10.Title: A Novel Approach for Voltage Stability Assessment and Optimal Siting and Sizing of DGs in Radial Power Distribution Networks

Authors: S. Mokred, Y. Wang, M. Alruwaili, M.A. Ibrahim
Journal: Processes
Year: 2025
Citations: Not yet available

Conclusion

Dr. Salah Mokred’s consistent academic excellence, strong citation record, impactful contributions to voltage stability and grid protection, and participation in IEEE conferences and journal leadership make him a standout candidate for the Best Researcher Award. His research not only advances theory but provides applicable solutions to power system challenges in both developing and developed countries.

Maurice Kesonga Nsele | Economy | Best Paper Award

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Assist.Prof.Dr.Maurice Kesonga Nsele| Economy | Best Paper Award

Post-doctoral researcher at University of Lubumbashi, Democratic Republic of the Congo

Dr. Maurice Kesonga Nsele  is a distinguished post-doctoral researcher at the University of Lubumbashi  and an associate professor at the Faculty of Agricultural Sciences. He earned his Ph.D.  in Agricultural Sciences and Biological Engineering from the University of Liège, Gembloux Agro-Bio Tech , specializing in rural economics and development. Currently affiliated with the Regional Postgraduate School of Integrated Management and Development of Tropical Forests and Territories, his research spans sustainable rural development , agricultural value chains , and socio-economic dynamics in biodiversity-rich regions . With an enduring commitment to addressing challenges in Congo’s agricultural sector, he integrates academic rigor with field-based realities to create practical, community-driven solutions . His contributions to rural livelihoods, environmental conservation , and policy analysis mark him as a dedicated scientist and academic leader.  He is a promising candidate for international awards celebrating innovation, research excellence, and socio-environmental impact .

Professional Profile

ORCID

Education & Experience 

Dr. Nsele’s academic journey began with a strong foundation in Agricultural Sciences, culminating in a Ph.D.  From the prestigious University of Liège, Gembloux Agro-Bio Tech, Belgium . His doctoral research focused on rural development and economic systems, preparing him for a multidimensional academic and research career . He is currently a postdoctoral researcher at the Regional Postgraduate School for Integrated Tropical Forest Management  and serves as an associate professor at the University of Lubumbashi . With over a decade of academic engagement , he has supervised research, published articles, and participated in key development projects focused on community-based conservation, sustainable farming , and economic transformation. His work is well-regarded both nationally and internationally , reflecting his ability to merge theoretical knowledge with grassroots implementation . This rich blend of education and field experience positions him as an expert in sustainable agronomy, rural transformation, and forest-territory development .

Professional Development 

Dr. Maurice Nsele’s professional development reflects his continuous dedication to rural transformation and sustainable agricultural practices . Through his postdoctoral research at a regional postgraduate institute for tropical forest management , he deepened his expertise in environmental sustainability, conservation strategy, and policy analysis . He actively participates in academic collaborations, research networks, and developmental projects that engage communities in resource conservation . His project on the conservation of historical rubber plantations in Sankuru Province underscores his ability to connect scientific research with cultural heritage and economic resilience 🌱. Dr. Nsele has contributed to peer-reviewed journals  and maintains a presence on platforms like ORCID and ResearchGate for academic transparency and collaboration . As a thought leader and educator, he fosters interdisciplinary research and trains future agricultural scientists . His trajectory shows consistent professional growth, marked by real-world impact, international collaboration , and knowledge dissemination for sustainable development goals .

Research Focus 

Dr. Nsele’s research focus lies at the intersection of sustainable rural development, agricultural economics, and tropical forest conservation . He specializes in the analysis of agricultural value chains  and economic structures in regions with rich natural potential, particularly in Central Africa . His work addresses community-based conservation, emphasizing participatory methods to preserve biodiversity while enhancing rural livelihoods . The project on rubber plantation conservation in Sankuru Province highlights his approach to integrating socio-cultural and environmental dynamics. He also investigates economy policies that influence agricultural productivity and land-use management . With a deep understanding of development economy, Dr. Nsele contributes to strategic planning and the formulation of policies aimed at equitable resource distribution and long-term sustainability . His research aligns with global priorities such as climate-resilient agriculture, food security, and eco-governance, making his work invaluable to both academia and development agencies .

Awards and Honors 

Although specific awards are not yet listed, Dr. Maurice Nsele is a strong candidate for prestigious recognitions such as the Best Researcher Award , Agronomy Innovation Award 🌿, and Sustainable Agriculture Award . His academic achievements, such as earning a Ph.D. from the University of Liège , and his impactful research on rubber plantations and agricultural economics , demonstrate excellence worthy of international acclaim. His publications in indexed journals , leadership roles in university research programs , and collaborations with international institutions  reflect a high level of scholarly integrity and innovation. Dr. Nsele’s postdoctoral engagement in integrated forest and territory management  underlines his commitment to interdisciplinary excellence. He also qualifies for recognitions like Multidisciplinary Agriculture Award, Research Excellence in Crops, and University Research Star Award . As his work gains further visibility, it is expected he will attract both national and global accolades for research impact and innovation .

Publication of Top Notes

1.Title: Community Perceptions and Determinants of the Sustained Conservation of Historical Rubber Plantations in the Lomela and Lodja Territories, Sankuru Province, Democratic Republic of the Congo

Authors: Maurice Kesonga Nsele, Serge Shakanye Ndjadi, Charles Mumbere Musavandalo, Désiré Numbi Mujike, Israël Muchiza Bachinyaga, John Tshomba Kalumbu, Eli       Mwishingo Mutwedu, Joël Mobunda Tiko, Séraphin Irenge Murhula, François Tshamba Y’onyowokoma et al.
 Year: 2025
  Journal: Conservation
  DOI: 10.3390/conservation5030033

2.Title: Conditions d’acceptabilité des pratiques innovantes par les maraîchers urbains de Lubumbashi, République Démocratique du Congo

Author: Maurice Kesonga Nsele
 Year: 2024
 Type: Dissertation/Thesis

3. Title: Unraveling the Role of Informal Mutual Aid Networks in Maintaining Urban Farms in Lubumbashi, Democratic Republic of Congo

Authors: Maurice Kesonga Nsele, Thomas Dogot, Kevin Maréchal
Year: 2023
 Journal: Frontiers in Sustainable Food Systems
 DOI: 10.3389/fsufs.2023.1248937

4. Title: Factors Influencing the Sustained Adoption of Innovative Techniques by Urban Farmers in Lubumbashi, Democratic Republic of Congo

Authors: Maurice Kesonga Nsele, Jules Nkulu Mwine Fyama, Kevin Maréchal, Thomas Dogot
Year: 2022
 Journal: Agriculture
 DOI: 10.3390/agriculture12081157

5 .Title: Understanding the Roles of Street Vendors of Agricultural Commodities during the COVID-19 Outbreak in the Informal Economy

 Author: Maurice Kesonga Nsele
 Year: 2020
 Journal: Journal of Social Sciences
 DOI: 10.4236/jss.2020.89008
6. Title: Pesticide Use Practices by Chinese Cabbage Growers in Suburban Environment of Lubumbashi (DR Congo): Main Pests, Costs and Risks
 Author: Maurice Kesonga Nsele
 Year: 2019
 Journal: Journal of Applied Agricultural Economics and Policy Analysis
 DOI: 10.12691/jaaepa-2-1-8
7. Title: Characterization of Household Wastes in D.R. Congo, a Case Study of Lubumbashi

 Author: Maurice Kesonga Nsele
 Year: 2017
 Journal: American Journal of Environmental Sciences
 DOI: 10.3844/ajessp.2017.277.288

Conclusion 

Dr. Maurice Kesonga Nsele’s research is a benchmark in sustainable and community-oriented environmental science, particularly in understudied contexts like Central Africa. His papers provide original data, innovative frameworks, and socially grounded analysis, making them highly suitable for Best Paper Awards.

Zhongyi Yu | Agricultural and Biological sciences | Best Researcher Award

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Dr.Zhongyi Yu | Agricultural and Biological sciences | Best Researcher Award

Doctoral student at China Agriculture University, China

Zhongyi Yu is a dynamic and innovative young researcher currently pursuing his doctorate at China Agricultural University 🇨🇳. He has a strong foundation in agricultural engineering and smart plant protection systems . With active involvement in over 10 national, provincial, and municipal research projects, Yu has made notable contributions to intelligent agricultural machinery, particularly in orchards, fields, and greenhouses . His academic record includes 8 published papers , with 5 indexed in SCI/EI journals, and over 20 intellectual property claims including patents and software works . Yu is highly recognized for his innovation and leadership, having secured top positions in provincial innovation competitions . Passionate about transforming agriculture through digitalization and automation, he collaborates closely with academic and industry partners to create efficient, sustainable solutions for modern farming . His dedication and achievements place him among the promising young researchers shaping the future of smart agriculture .

🧪Professional Profile

ORCID

🎓 Education & Experience 

Zhongyi Yu began his academic journey in agricultural sciences with a focus on smart equipment and digital agriculture . He pursued both his master’s and doctoral degrees at prestigious Chinese institutions, including China Agricultural University . During his studies, Yu successfully led two graduate-level innovation projects as the principal investigator. He has been involved in a range of cutting-edge national and regional research programs, such as the National Modern Industrial Technology System and graduate innovation programs of Anhui Province . His hands-on experience spans intelligent spraying systems, static laser weeding devices, and smart pesticide technologies for greenhouses and orchards . Yu’s practical background is further enhanced by consultancy work supported by China’s earmarked agriculture funds 🇨🇳. With over 8 published research papers and multiple patents, Yu has built a solid reputation for research excellence, technical proficiency, and real-world impact in smart agriculture and plant protection .

📈 Professional Development 

Zhongyi Yu’s professional development reflects a rare blend of academic excellence, research leadership, and innovative application in smart agriculture . He has contributed to 10+ projects funded by national and provincial bodies, such as the 2115 Talent Program and China Agriculture Research System . Yu has published impactful work in journals like Agronomy, highlighting innovations like the Swing-Arm Orchard Sprayer and static laser weeding systems . His strong project management skills enabled him to lead and coordinate multi-disciplinary teams in developing digital solutions for orchards and greenhouse management . Yu’s patent portfolio of over 15 inventions and 4 software works attests to his practical ingenuity . He actively engages in academic competitions, securing first prizes at ministerial levels . Through collaboration with institutions like Anhui Agricultural University, he continuously builds his research network and stays at the forefront of digital agricultural innovation .

🔬 Research Focus 

Zhongyi Yu’s research focus lies in the development of intelligent agricultural equipment and smart plant protection technologies . His work targets production management solutions in fields, greenhouses, and orchards, with a particular emphasis on precision spraying and laser weeding systems . Yu is actively involved in the design, development, and evaluation of digital agricultural tools that increase productivity and reduce environmental impact . He has led key research on swing-arm orchard sprayers and fiber-laser-based weeding devices, integrating automation and robotics into crop protection tasks . His projects are deeply aligned with China’s modernization goals for agriculture and supported by national funding initiatives . Yu also explores AI integration, remote sensing, and intelligent control systems as part of his holistic smart farming approach . His goal is to build resilient, efficient, and sustainable agricultural systems that are accessible and scalable for real-world applications, driving the future of digital farming forward .

🏅 Awards & Honors 

Zhongyi Yu has received numerous awards and accolades recognizing his excellence in research and innovation . He has been honored as an Outstanding Graduate Student and Outstanding League Member for his academic leadership and societal contributions . Yu has led two major student innovation projects to first prizes in prestigious provincial and ministerial university competitions . His technological contributions have resulted in over 15 national patents and 4 software copyrights . He has been supported by highly competitive programs such as the 2115 Talent Development Program and the China Agriculture Research System funding scheme . These awards underscore his expertise in agricultural engineering, particularly intelligent plant protection systems and smart pesticide application equipment . His recognition spans both academic excellence and technological innovation, reflecting his dual impact on theory and practice. Yu’s consistent achievements position him as a rising leader in smart agriculture research and application .

Publication of Top Note

1.A Static Laser Weeding Device and System Based on Fiber Laser: Development, Experimentation, and Evaluation

Authors:
Zhongyi Yu, Xiongkui He, Peng Qi, Zhichong Wang, Limin Liu, Leng Han, Zhan Huang, Changling Wang

Year of Publication:
2024 (June)

Journal:
Agronomy – Volume 14, Issue 7

DOI:
10.3390/agronomy14071426

Publisher:
Multidisciplinary Digital Publishing Institute (MDPI)

Citation Format (APA style):

Yu, Z., He, X., Qi, P., Wang, Z., Liu, L., Han, L., Huang, Z., & Wang, C. (2024). A Static Laser Weeding Device and System Based on Fiber Laser: Development, Experimentation, and Evaluation. Agronomy, 14(7), 1426. https://doi.org/10.3390/agronomy14071426

📌 Conclusion

Zhongyi Yu exemplifies the profile of a Best Researcher Award recipient through his impactful research, technological innovation, and dedication to agricultural advancement. His diverse portfolio of publications, patents, and project leadership showcases both depth and breadth in research. His focus on smart, efficient, and sustainable agriculture aligns with global priorities in food security and environmental technology. Therefore, he is a strong and deserving candidate for the Best Researcher Award.

Fei-Hsiu Hsiao| Cancer Nursing | Best Researcher Award

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Prof. Dr. Fei-Hsiu Hsiao | Cancer Nursing | Best Researcher Award

Professor at National Taiwan University, Taiwan

Dr. Hsiao-Fei Lee is a highly accomplished Professor at the School of Nursing, National Taiwan University  and Nursing Supervisor at NTU Hospital . With over three decades of experience in clinical and academic nursing, she is known for pioneering research in body-mind-spirit (BMS) psychotherapy and its impact on depression, cancer survivorship, and psychoneuroendocrinology . She has led numerous national research projects 🇹🇼, contributing valuable insights into cortisol rhythms, emotional well-being, and stress resilience. Her interdisciplinary work bridges psychiatry, nursing, and neurobiology , advancing mental health care across Taiwan and beyond. As an academic editor and guest editor of top journals , she influences both policy and practice in healthcare. Dr. Lee’s compassionate leadership  and scientific excellence have made her a respected figure in nursing science and integrative psychotherapy research worldwide .

🧪Professional Profile

ORCID

📘 Education & Experience 

Dr. Lee began her nursing journey with a Diploma from Deh-Yu College of Nursing (1985–1990). She further earned a Bachelor of Health Science  from Victoria University of Technology, Australia 🇦🇺 (1994), followed by two master’s-level nursing studies  from Victoria University and La Trobe University (1995–1997). Her academic peak came with a Ph.D. in Psychiatry from the University of Melbourne (1998–2002) . Professionally, she worked as a psychiatric nurse  at Taipei Veterans General Hospital (1990–1993) and held teaching and leadership roles at Taipei Medical University (2002–2008). She joined National Taiwan University in 2009 and has since risen to full Professor . From 2017 to 2020, she served as Vice Director at the Department of Nursing, NTU Hospital . Her journey reflects a seamless blend of academic, clinical, and administrative excellence .

🚀 Professional Development 

Dr. Lee has demonstrated outstanding professional development through her dedication to mental health and integrative care research . She has served as academic editor for the Journal of Nursing Management , section editor for the Journal of Nursing Research and Chinese Journal of Psychology , and guest editor for Behavioral Sciences. Her leadership extends beyond publications, as she has mentored interdisciplinary teams in oncology, neuroscience, and nursing . She actively translates research into practical training programs, including models that integrate compassion, mindfulness, and holistic care . Dr. Lee is among the few in Taiwan to examine the neuroendocrine mechanisms behind psychotherapy, positioning her as a thought leader in psychoneuroendocrinology . Her evolving research continues to influence care strategies and educational curricula, creating long-lasting impact in both academic and healthcare settings .

🧠 Research Focus 

Dr. Lee’s research centers on integrative mental health therapy, particularly body-mind-spirit (BMS) psychotherapy  for patients with major depression and cancer survivors. Her studies examine how psychological well-being is linked to HPA-axis neuroendocrine function, focusing on cortisol patterns, emotional resilience, and long-term stress reduction . She investigates meaning in life, sleep quality, and coping skills as protective factors against suicide ideation and depressive symptoms . Her work is especially groundbreaking in showing how group psychotherapy can stabilize biological responses and prevent cancer recurrence . She leads interdisciplinary research involving oncology, neuroscience, and nursing, pioneering holistic models of care that are both culturally enriched and evidence-based . Her innovations have set new benchmarks in psychoneuroendocrinology, improving quality of life for thousands of patients across Taiwan 🇹🇼 and internationally .

🏆 Awards and Honors 

Dr. Lee has been recognized with multiple national research grants and academic leadership roles . Her continuous funding from Taiwan’s National Science Council highlights her impact on healthcare innovation and policy reform . She has led over 20 major research projects, many as Principal Investigator, with support totaling millions of NTD . Her scholarly work has been featured in top journals like Psychotherapy & Psychosomatics , gaining her international acclaim in nursing and psychiatry. As a leading figure in evidence-based mental health interventions, she has received commendations from institutions such as NTU and Taipei Medical University 🏫. Her role as editor and reviewer for major journals further demonstrates her contributions to advancing nursing science and integrative health care worldwide . Her work on compassion-based and app-integrated psychotherapy models has positioned her as a trailblazer in digital mental health innovation .

Publication of Top Notes

1.Factors Influencing the Relationship Between Sugar Consumption and Depression Among Women Under Breast Cancer Treatment

Authors: Yu-Chen Liu, Wen-Hung Kuo, Chiao Lo, Chiun-Sheng Huang, Meei-Shyuan Lee, Jen-Ho Chang, Chia-Chen Hsieh, Fei-Hsiu Hsiao
Journal: Behavioral Sciences
Year: 2025
DOI: 10.3390/bs15070940

2.The Relationship Between Decision Regret, Quality of Life, and Mindfulness in Early-Stage Breast Cancer Survivors

Authors: Yu-Ling Kao, Ming-Shen Dai, Wan-Chen Tsai, Fei-Hsiu Hsiao
Journal: The Breast
Year: 2025
DOI: 10.1016/j.breast.2025.104435

3.Individual Resilience Among Adult Children of Parents with Bipolar Disorder in Chinese Society

Authors: Sara Hsin-Yi Liu, Fei-Hsiu Hsiao, Shing-Chia Chen, Ming-Hsien Hsieh, Shu-Jen Shiau
Journal: Journal of Transcultural Nursing
Year: 2025
DOI: 10.1177/10436596241290786

4.The Changes of Parental Functioning of the Patients with Bipolar Disorder and Major Depression Since Discharging from Hospital

Authors: Sara Hsin‐Yi Liu, Shing‐Chia Chen, Ming H. Hsieh, Shu‐Jen Shiau, Kuan‐Chia Lin, Fei‐Hsiu Hsiao
Journal: Journal of Clinical Nursing
Year: 2023
DOI: 10.1111/jocn.16462

5.The Effectiveness of Compassion-Based Interventions Among Cancer Patients: A Systematic Review and Meta-analysis

Authors: Ya-Chi Fan, Fei-Hsiu Hsiao, Chia-Chen Hsieh
Journal: Palliative and Supportive Care
Year: 2023
DOI: 10.1017/S1478951522001316

6.Self-Compassion for Burnout and Compassion Fatigue in Caregivers

Author: Fei-Hsiu Hsiao
Journal: Journal of Nursing Research
Year: 2023
DOI: 10.1097/jnr.0000000000000544

7.Emergency Nurses’ Burnout Levels as Mediator Between Stress and PTSD Symptoms During COVID‐19 Pandemic

Authors: Bey‐Jing Yang, Ching‐Wei Yen, Shou‐Ju Lin, Chien‐Hua Huang, Jhong‐Lin Wu, Yih‐Ru Cheng, Chia‐Chen Hsieh, Fei‐Hsiu Hsiao
Journal: Journal of Advanced Nursing
Year: 2022
DOI: 10.1111/jan.15214

8.The Effects of an Emergency Nurse‐Led Stress‐Reduction Project During the First 120 Days of the COVID‐19 Pandemic in Taiwan

Authors: Bey‐Jing Yang, Ching‐Wei Yen, Shou‐Ju Lin, Chien‐Hua Huang, Jhong‐Lin Wu, Yih‐Ru Cheng, Chia‐Chen Hsieh, Fei‐Hsiu Hsiao
Journal: Journal of Nursing Management
Year: 2022
DOI: 10.1111/jonm.13527

Conclusion

Dr. Fei-Hsiu Hsiao demonstrates outstanding scholarly impact, innovation, and societal relevance, making her an ideal candidate for the Best Researcher Award. Her work not only advances academic understanding but also delivers measurable improvements in mental health, caregiving, and cancer survivorship, aligning perfectly with the spirit of global research excellence.

Konstantinos Sofianos | Artificial Intelligence | Best Researcher Award

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Mr.Konstantinos Sofianos | Artificial Intelligence | Best Researcher Award

PhD student at Ionian University , Greece

Konstantinos Sofianos 🇬🇷 is a dynamic educator, researcher, and director at the Music School of Lefkada, Greece 🎵💻. With decades of experience in teaching informatics and mathematics across multiple Greek schools, he blends classical education with cutting-edge digital innovation. Currently pursuing a Ph.D. in Informatics at Ionian University 🎓, his work bridges artificial intelligence, semantic web, and music education. Passionate about smart learning environments 🤖📚, he actively presents at international conferences and contributes to academic journals on AI-enhanced education. As a seasoned professional with deep roots in both pedagogy and technology 🌐, Sofianos is reshaping how students engage with music and learning through AI tools, LMS platforms, and chatbots. Fluent in Greek and English 🗣️, he brings a global outlook to local education challenges. His leadership role and relentless academic growth make him a recognized figure in the future of smart, inclusive, and interactive learning. 🌍✨

Professional Profile

SCOPUS

ORCID

Education & Experience 

Konstantinos Sofianos began his academic path with a B.Sc. in Mathematics from the University of Patras in 1987 ➗📐, followed by a M.Sc. in Informatics and ongoing Ph.D. studies at Ionian University in Corfu 🎓💡. His professional teaching career spans nearly three decades across Greek schools 🏫, including long tenures at the Music School of Preveza and Lefkada. Since 2025, he has been the Director and Professor of Informatics at the Music School of Lefkada 👨‍💼🎶. His teaching expertise covers informatics, mathematics, and music-integrated learning technologies 🎵🧠. With a commitment to continuous learning, he has pursued professional training in cybersecurity, AI tools, chatbots, and DBMS via Erasmus+ programs across Europe 🌍🖥️. His combined experience as a professor, director, and researcher makes him a multi-disciplinary educator empowering the next generation of learners through smart technologies. 💼📘

Professional Development 

Sofianos has a strong portfolio of professional development, actively participating in Erasmus+ short-term programs in Lithuania (2024–2025) 🌍🎓. He gained hands-on experience with AI tools, chatbots, Moodle plugins, cybersecurity, and data mining 🔐💡. His learning experiences at Vilnius University and Kaunas AI Centre enabled him to integrate international best practices into Greek classrooms 🌐🇬🇷. As a speaker at over 10 international conferences from 2021–2025, he has explored topics like Semantic Web (Web 3.0), smart learning, and AI in music education 🤖🎶. His publications in IJCSMC and MDPI Computers Journal demonstrate research depth and relevance to educational tech trends 📄🧑‍🔬. Through constant upskilling, collaborative projects, and knowledge sharing, Sofianos evolves as a 21st-century educator building future-ready classrooms. His dedication reflects a passion not just for teaching, but for shaping how teaching itself evolves through innovation and interdisciplinary learning. 🔍🚀

Research Focus 

Konstantinos Sofianos’s research lies at the intersection of Artificial Intelligence and Education 🧠📚. His focus includes smart learning environments, semantic web applications (Web 3.0), Moodle-based LMS integration, and AI-powered educational tools 🤖🖥️. With a special emphasis on music education enhanced by digital technologies 🎶💻, he explores how chatbots, ontologies, and AI plugins personalize learning experiences. His work introduces adaptive systems that recognize learning styles, enabling more intuitive and inclusive teaching models 🧩📊. Through multiple international conferences and journal publications, he has contributed frameworks like OSEME, a Smart Learning Environment tailored to music learning. His research is highly interdisciplinary—blending informatics, cognitive learning science, and creative arts—to push boundaries in edtech 🚀🔬. His ongoing Ph.D. further cements his expertise in developing next-gen learning systems with strong theoretical and applied significance. 🏫🌍

Awards & Honors 

Although no formal awards are explicitly listed, Konstantinos Sofianos’s academic and professional profile reflects a strong record of recognition and achievement 🏆📚. His consistent invitations to speak at top-tier international conferences—including in Greece, the Netherlands, Spain, and Cyprus 🌍🎤—demonstrate academic credibility and international engagement. The selection for Erasmus+ faculty programs twice at Vilnius University, focused on AI, education, and cybersecurity, shows institutional trust and acknowledgment of his expertise 🤝📘. His role as Director of a leading Music School and contributor to two international journals (IJCSMC and MDPI Computers) positions him as a knowledge leader in edtech 🎓🖋️. Furthermore, his ongoing Ph.D., multiple interdisciplinary publications, and pioneering work with AI-based learning systems are achievements indicative of scholarly excellence 🌐🧑‍🔬. Sofianos is a strong candidate for future educational honors, especially in AI integration and digital learning innovation. 🏅💻

Publication of Top Notes

1. Integrating Artificial Intelligence and Digital Tools to Enhance Learning and Accessibility in Music Education
  • Type: Book Chapter
  • Year: 2025
  • DOI: 10.1007/978-3-031-96231-8_13
  • Contributors: Konstantinos Chrysanthos Sofianos, Stefanidakis Michael, Maragoudakis Manolis, Kaponis Alexios, Georgaki Anastasia, Bukauskas Linas
  • Publisher: Springer Nature
  • Source: Crossref

🔍 Summary:
This chapter explores the integration of artificial intelligence (AI) and digital tools in the context of music education, with a focus on improving accessibility and personalized learning. The authors present models and strategies where AI assists in tailoring music pedagogy to learner needs, including adaptive systems, smart feedback, and learning analytics. Use cases include AI-driven tutoring systems, chatbot applications, and content customization for students with varying levels of musical knowledge or accessibility needs. The chapter emphasizes inclusive education, leveraging AI to reduce learning barriers and foster deeper engagement in music studies.

2. Enhancing User Experiences in Digital Marketing Through Machine Learning: Cases, Trends, and Challenges
  • Type: Journal Article
  • Journal: Computers
  • Date Published: May 29, 2025
  • DOI: 10.3390/computers14060211
  • Contributors: Alexios Kaponis, Manolis Maragoudakis, Konstantinos Chrysanthos Sofianos
  • Publisher: MDPI
  • Volume: 14, Issue 6
  • Source: Crossref

Summary:
This research article presents a comprehensive analysis of machine learning applications in digital marketing, focusing on enhancing user experience (UX). The authors identify key ML-driven strategies, including predictive analytics, user behavior modeling, personalized content recommendation, and automated engagement systems. Through a series of practical case studies, the article highlights emerging trends and implementation challenges, including ethical considerations, data security, and system transparency. Konstantinos Sofianos contributed to the study’s educational-UX perspective, particularly in applying semantic and cognitive models to optimize digital interaction in learning environments—bridging education and marketing domains.

3. Assist of AI in a Smart Learning Environment
  • Type: Book Chapter
  • Year: 2024
  • DOI: 10.1007/978-3-031-63223-5_20
  • Contributors: Konstantinos Chrysanthos Sofianos, Michael Stefanidakis, Alexios Kaponis, Linas Bukauskas
  • Publisher: Springer Nature
  • Source: Crossref

🔍 Summary:
This book chapter introduces AI-assisted learning environments, focusing on smart educational systems that adapt to individual learner needs and preferences. The chapter outlines the conceptual design and architecture of AI in classroom settings, emphasizing features like real-time feedback, student behavior analysis, and content personalization. Special attention is given to ontology-based learning systems and AI tutors, which aim to mimic human interaction while scaling accessibility. Sofianos’s contributions include practical insights from his development of OSEME, a smart music education platform that applies these AI principles effectively within the arts education context.

Conclusion

Konstantinos Sofianos exemplifies the 21st-century researcher—blending innovation, practice, and scholarship across domains. His pioneering work in AI-enhanced education and dedication to advancing inclusive and intelligent learning systems strongly align with the spirit of a Best Researcher Award. His trajectory not only reflects academic excellence but also a commitment to transforming traditional education through digital transformation. He is not only eligible but highly deserving of such recognition. 🏅📘🤖

Ken Sun | Environmental Ecology | Best Researcher Award

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Prof.Dr.Ken Sun | Environmental Ecology | Best Researcher Award

Professor at North China University of Water Resources and Electric Power, China

Dr. Ken Sun 🇨🇳 is a distinguished Professor at the College of Ecology and Environment, North China University of Water Resources and Electric Power 💧⚡, Zhengzhou. With a passion for sustainable development, Dr. Sun has made pioneering contributions in the fields of water resources, energy-environment nexus, and green technology 🌱🌍. He has led numerous provincial and national research projects, addressing complex challenges like industrial pollution, water-carbon-energy coupling, and ecological security in major river basins 🏞️. A prolific author 📚, he has published widely in international journals such as Science of the Total Environment, Journal of Cleaner Production, and Chemical Engineering Journal. His innovative work extends to patented water treatment technologies 🧪, and he has authored a scholarly monograph on clay modification. A dedicated environmental scientist and research leader, Dr. Sun continues to shape policy-relevant research for China’s ecological and health resilience 🏅🌐.

Professional Profile

SCOPUS

Education and Experience 

Dr. Ken Sun’s academic journey is grounded in environmental science and engineering 🧬, culminating in his doctoral qualification in China 🇨🇳. Over the years, he has become a leading expert in the intersection of water environment, industrial sustainability, and energy-health systems 💧🏭🫁. Currently serving as Professor at North China University of Water Resources and Electric Power in Zhengzhou 🏛️, Dr. Sun is also a principal investigator on high-impact provincial and national-level projects. His experience spans over a decade of cross-disciplinary research on antibiotics in wastewater, mineral adsorption processes, and urban pollution control 🧫🌆. Dr. Sun’s academic versatility is reflected in his supervision of projects under the Henan Science and Technology Research Program, as well as foreign expert collaborations. His growing international reputation is matched by strong institutional leadership and mentoring of young scientists 🎓🧑‍🔬.

Professional Development 

Dr. Sun’s professional development is marked by consistent leadership across research, innovation, and education 📈👨‍🏫. As a Principal Investigator of 8 major scientific projects funded by the Henan Province and national programs 🏗️, he has driven forward sustainability-focused initiatives on topics such as CO₂ emissions, industrial water efficiency, and ecological security evaluation 📊🛰️. He actively collaborates with foreign experts 🌍, exemplified by his role in international research initiatives on high-altitude mining and dual-carbon strategies. Dr. Sun has authored over 16 indexed journal papers 📖 and holds four invention patents on advanced composite adsorbents and wastewater treatment technologies 🧪🔬. He is also a published author with Springer Nature, contributing to knowledge transfer in environmental remediation. Dr. Sun regularly participates in academic forums and serves as a reviewer for top-tier environmental journals 🧾🎤, continuing to enhance his scholarly profile and broaden the impact of applied research.

Research Focus 

Dr. Ken Sun’s research primarily focuses on the water-energy-carbon nexus,environmental sustainability, and pollution remediation ♻️💧🔥. He investigates the spatiotemporal dynamics of ecological risk, water resource efficiency, and industrial pollutant behavior, particularly in the Yellow River Basin and regions impacted by the South-to-North Water Diversion Project 🌊🏞️. His innovative studies on residual antibiotics removal using clay minerals and microwave-assisted oxidation have broad implications for wastewater treatment and public health 🦠⚗️. Dr. Sun also explores the relationship between industrial structure and environmental security, using advanced data modeling and geographic information systems 🗺️📈. His work bridges the disciplines of environmental engineering, ecological economics, and climate policy, ensuring multi-sectoral relevance. With a strong focus on sustainable industrial practices and green transformation, Dr. Sun’s research addresses national priorities while contributing to global conversations on climate resilience and resource optimization 🌐🌱.

Awards and Honors 

Dr. Ken Sun has earned significant recognition for his scientific excellence and innovative research contributions 🏅🧠. As Principal Investigator of multiple Science and Technology Research Projects in Henan Province, he has successfully completed groundbreaking studies on water-carbon-energy systems, ecological security, and industrial water use 🌍💡. His achievements are reflected in the award of the Young Backbone Teacher Training Program distinction and selection for key expert roles in international environmental collaborations 🤝🎓. Dr. Sun’s research excellence is also validated by four authorized Chinese invention patents in advanced water treatment and adsorbent technologies 🧪📃. His monograph published by Springer Nature has further cemented his position as a thought leader in environmental remediation and green nanotechnology 📗🔍. With over 16 academic papers published in prestigious journals and numerous collaborative projects under his belt, Dr. Sun stands as an influential figure in China’s environmental research landscape 🥇🇨🇳.

Publication of Top Notes

1. “Impact of the Henan Section of the Central Line Project of South‑to‑North Water Diversion on the High‑Quality Development of Water‑Receiving Cities”
  • Title: Impact of the Henan Section of the Central Line Project of South‑to‑North Water Diversion on the High‑Quality Development of Water‑Receiving Cities
  • Authors: Ken Sun, Tianshu Yan, Chang Liu, Zhenzhen Yang, Jingmin Han, Li Li (corresponding author) Beijing Review+12MDPI+12IDEAS/RePEc+12
  • Journal / Year: Sustainability, 2024 (Vol. 16, Issue 13, Article 5714) IDEAS/RePEc+2MDPI+2EconPapers+2
  • Summary:
    This open-access study evaluates how the Henan segment of China’s central line of the South‑to‑North Water Diversion Project (CLPSNWD) influences the high-quality development (HQD) of cities receiving diverted water. Using an entropy-based fuzzy comprehensive evaluation model, the authors analyze 12 indicators across four HQD dimensions—economic vitality, livelihoods, environment, and green development—from 2010 to 2019. Findings show the project has stronger effects on economic vitality and public welfare than on environmental and green development aspects. Among recipient cities, Anyang, Hebi, and Zhengzhou exhibited the most significant gains in HQD. The empirical evidence underscores the importance of tailored support policies for equitable benefit allocation EconPapers+3MDPI+3ScioWire Magazine+3.
2. “The Coupling Coordination and Spatiotemporal Evolution of Industrial Water‑Energy‑CO₂ in the Yellow River Basin”
  • Title: The coupling coordination and spatiotemporal evolution of industrial water‑energy‑CO₂ in the Yellow River Basin
  • Authors: Ken Sun* (corresponding), Jingmin Han, Wu Q, et al. IDEAS/RePEc+9pubmed.ncbi.nlm.nih.gov+9MDPI+9EconPapers+2IDEAS/RePEc+2MDPI+2
  • Journal / Year: Science of the Total Environment, 2024
  • Summary:
    This article constructs an evaluation system of industrial water‑energy‑CO₂ (WEC) subsystems in China’s Yellow River Basin (YRB) from 1999 to 2019. Employing a coupling degree model along with spatial autocorrelation analysis, the research assesses development levels, coupling relationships, and coordination evolution over time and across regions. Results show that overall integration of industrial WEC subsystems has improved, with industrial energy–CO₂ coupling exceeding water–energy and water–CO₂ links. Coordination evolved from “forced” to “good” levels, yet exhibited spatial randomness without clear clustering. The study advocates for enhanced integrated resource management, intra‑basin cooperation, and systemic planning for sustainable industrial growth in the YRB pubmed.ncbi.nlm.nih.gov.

Conclusion

Dr. Ken Sun demonstrates outstanding qualifications for the Best Researcher Award due to his consistent, high-impact contributions to environmental science and policy, proven leadership in applied research, and dedication to sustainability and innovation. His work is not only technically robust but also socially relevant—addressing water scarcity, carbon reduction, and public health through science. He embodies the spirit of a transformative researcher whose findings directly influence both academia and environmental management practices.

Seyed Hessameddin Zegordi | Mathematical Modeling | Best Researcher Award

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Prof. Dr.Seyed Hessameddin Zegordi | Mathematical Modeling | Best Researcher Award

Tarbiat Modares University, Iran

Professor Seyed Hessameddin Zegordi  is a distinguished academic in Industrial & Systems Engineering at Tarbiat Modares University, Tehran. With an impressive career spanning over three decades , he has made lasting contributions to academia, industry, and government. Holding a Ph.D. from Tokyo Institute of Technology , he has specialized in optimization, production systems, and supply chain disruption management. He served as department head for 9 years and contributed as a research and education deputy for 3 years . Beyond academia, Dr. Zegordi has consulted for top industrial firms and government ministries on business process reengineering and strategic systems design . Fluent in English and Japanese , he bridges global knowledge with local impact. With an h-index of 28 , he remains a thought leader in operational research and smart industrial strategies. His lifelong dedication to engineering education and innovation continues to shape the next generation of industrial experts .

Professional Profile

SCOPUS

ORCID

Education & Experience 

Professor Zegordi earned his BSc in Industrial Engineering from Isfahan University of Technology (1987), followed by an MSc from Sharif University of Technology (1990), and later, a Ph.D. in Industrial Engineering & Management from Tokyo Institute of Technology (1994) . Starting as an Assistant Professor in 1994, he rose to become a Full Professor by 2016 . He has held key academic roles including Head of Department for 9 years and Research Deputy at the Engineering Faculty for 3 years 🏢. His industrial journey began even earlier — as General Manager at Avand Plastic and Production Planning Director at Darou Pakhsh . Since 2000, he has served as Strategy Advisor at Iran Khodro, one of the country’s largest automakers . His dual-track experience in academia and industry reflects a rare blend of theoretical depth and practical leadership, making him a mentor and innovator in industrial systems development .

Professional Development 

Prof. Zegordi has steadily advanced in both academia and industry . Starting his academic journey in 1994 as Assistant Professor, he moved up to Full Professor by 2016, based on his research, mentorship, and teaching excellence . He has led multiple strategic roles including Department Head, Research Deputy, and Education Advisor, influencing curriculum design, faculty development, and cross-disciplinary collaboration . His expertise in optimization, layout design, and supply chain disruption has made him a key consultant for national ministries and major companies like Iran Khodro . He has supervised numerous PhD and Master’s theses and is regularly invited to review scientific publications and contribute to engineering textbooks . Fluent in English and Japanese , he frequently collaborates internationally and has translated significant academic work into Farsi. Prof. Zegordi embodies a commitment to bridging theory and application in the dynamic world of industrial engineering and systems innovation .

Research Focus 

Prof. Zegordi’s research lies at the intersection of operations research, production systems, and supply chain engineering . He specializes in mathematical modeling, intelligent optimization techniques like simulated annealing and genetic algorithms, and performance measurement systems . A pioneer in disruption management, he has developed robust strategies for supply chain continuity amid uncertainties . His work in Business Process Reengineering (BPR) has been instrumental for Iran’s Ministries of Foreign Affairs, Labor, and Cooperatives, guiding institutional transformation using data-driven methods . Other focal areas include facility layout, quality function deployment (QFD), and lean manufacturing systems . By combining computational models with strategic frameworks, he enhances both tactical decision-making and long-term resilience in operations . His multidisciplinary approach, integrating engineering, management, and technology, positions him as a key contributor to the evolution of smart and sustainable industrial ecosystems .

Awards & Honors 

While specific awards were not listed, Prof. Zegordi’s accolades are reflected in his long-standing leadership, international collaborations, and scholarly achievements . With an h-index of 28 on Google Scholar , he has significantly influenced the fields of industrial engineering, optimization, and supply chain management. His publications, translated books, and invited book chapters with Springer and IGI Global demonstrate global recognition . Serving as an academic advisor and curriculum developer for nearly 30 years, he has guided numerous students to successful academic and industry careers . His selection as a consultant for national ministries and major companies like Iran Khodro signifies his trustworthiness and strategic vision at a national level . Furthermore, his multilingual abilities and cross-cultural education in Japan enhance his role in international partnerships . These cumulative honors underscore Prof. Zegordi’s reputation as a respected, forward-thinking, and impactful researcher and educator in the global engineering community .

Publication of Top Notes

1.Proposing a Model Based on Deep Reinforcement Learning for Real‑Time Scheduling of Collaborative Customization Remanufacturing
  • Authors: Seyed Ali Yazdanparast; Seyed Hessameddin Zegordi; Toktam Khatibi
  • Year: 2025 (published February 18, early issue dated August 2025)
  • Journal: Robotics and Computer‑Integrated Manufacturing, Vol. 94, Article 102980 sciencedirect.com+9booksci.cn+9dblp.org+9
  • DOI: 10.1016/j.rcim.2025.102980
  • Summary: The study presents a multi-agent deep Q-network approach to schedule real-time tasks in remanufacturing customized products. Simulations in a smartphone assembly context (46,656 configurations) show the approach outperforms combined genetic algorithms, reducing factory cost by over 6%. This model addresses the challenge of disruption and real-time rescheduling in remanufacturing lines efficiently dblp.org+8booksci.cn+8ivysci.com+8.
2.The Type of Supplier Involvement in New Product Development in the Automotive Industry: Metaheuristic-based K-Means Clustering and Analytic Hierarchical Process Methods
  • Authors: Esmat Taghipour Anari; Seyed Hessameddin Zegordi; Amir Albadvi
  • Year: 2025 (published online January 14)
  • Journal: Journal of Advances in Management Research
  • DOI: 10.1108/JAMR‑03‑2024‑0095
  • Summary: This article investigates supplier roles in automotive product development. Combining metaheuristic clustering and AHP methods, it categorizes supplier involvement types and their strategic importance. Contributions include a novel classification framework guiding supplier integration and collaboration in innovation contexts.
3.An Integrated System Dynamics Model of Electricity Production, Consumption, and Export Policy in Iran Considering Carbon Emissions
  • Authors: Maryam Doroodi; Bakhtiar Ostadi; Ali Husseinzadeh Kashan; Seyed Hessameddin Zegordi
  • Year: 2024 (October)
  • Journal: Utilities Policy
  • DOI: 10.1016/j.jup.2024.101795
  • Summary: Using system dynamics, the study models Iran’s electricity sector, forecasting production, consumption, and export policies under carbon constraints. The model quantifies trade-offs between energy policy and emissions targets, offering strategic insights for policy adaptation.
4.A Sustainable Supply Chain Model for Time‑Varying Deteriorating Items Under Promotional Cost-Sharing Policy and Three‑Level Trade Credit Financing
  • Authors: Leyla Aliabadi; Seyed Hessameddin Zegordi; Ali Husseinzadeh Kashan; Mohammad Ali Rastegar
  • Year: 2024 (June)
  • Journal: Operational Research
  • DOI: 10.1007/s12351‑024‑00824‑x
  • Summary: This research develops a sustainable supply chain framework for perishable goods, incorporating promotional cost-sharing and multi-tier trade credit. The model optimizes inventory planning, financing, and pricing under varying deterioration rates, improving profit and sustainability.
5.A Tailored Meta-Heuristic for the Autonomous Electric Vehicle Routing Problem Considering the Mixed Fleet
  • Authors: Maryam Farahani; Seyed Hessameddin Zegordi; Ali Husseinzadeh Kashan
  • Year: 2023
  • Journal: IEEE Access
  • DOI: 10.1109/ACCESS.2023.3237481
  • Summary: The article proposes a customized metaheuristic algorithm to route autonomous electric vehicles in mixed fleets. The algorithm balances cost, distance, emissions, and charging constraints, offering improved routing efficiency and environmental impact.
6.A Multi‑Stage Stochastic Programming Approach for Supply Chain Risk Mitigation via Product Substitution
  • Authors: Seyed Mahdi Ghorashi Khalilabadi; Seyed Hessameddin Zegordi; Ehsan Nikbakhsh
  • Year: 2020 (November)
  • Journal: Computers & Industrial Engineering
  • DOI: 10.1016/j.cie.2020.106786
  • Summary: This study formulates a stochastic programming model that enables product substitution to buffer against supply chain disruptions. The multi-stage approach balances cost, service level, and risk, offering a quantitative tool for resilient operations planning.

Conclusion

 Prof. Zegordi’s contributions bridge research innovation and strategic industrial impact. His publications in IEEE Access, Robotics and Computer-Integrated Manufacturing, and Computers & Industrial Engineering emphasize both technical rigor and societal relevance. His leadership, academic service, and collaborative industry roles make him a strong and deserving candidate for the Best Researcher Award in engineering and systems sciences.

Bryan Lim | Plastic Surgery | Best Researcher Award

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Dr.Bryan Lim |Plastic Surgery| Best Researcher Award

House Medical Officer , Alfred Health , Australia

Bryan Mingzheng Lim 🩺 is a dedicated and forward-thinking Surgical House Officer at Alfred Health, Melbourne . He completed his Bachelor of Medical Sciences and Doctor of Medicine from Monash University   and has since pursued his clinical journey through rotations in plastic surgery, aged care, faciomaxillary surgery, and the emergency department. A former combat medic instructor in the Singapore Armed Forces , he brings discipline and precision to his medical practice. Bryan is actively involved in medical education, serving as a surgical bedside tutor for medical students . With a deep interest in AI-driven surgical innovation  and evidence-based clinical practice, he has co-authored numerous high-impact publications and was honored with a Certificate of Outstanding Contribution in Reviewing . His growing portfolio of academic and clinical contributions highlights his commitment to enhancing the future of surgery through technology and compassionate care .

Professional Profile

ORCID

Education & Experience 

Bryan Lim  earned his Bachelor of Medical Sciences and Doctor of Medicine from Monash University (2019–2023), gaining a strong foundation in clinical medicine. He started his internship at Western Health , rotating through radiology, colorectal surgery, general medicine, and emergency medicine. In 2025, he advanced to become a Surgical House Officer at Alfred Health, gaining hands-on experience in aged care, plastic & reconstructive surgery, faciomaxillary surgery, and surgical relief roles . Earlier in his career, he served as a Combat Medic Instructor in the Singapore Armed Forces , where he trained recruits in life-saving protocols and tactical medical response. Bryan also contributes to surgical education as a bedside tutor, guiding third-year medical students through OSCEs and clinical assessments . His rich and diverse experiences across multiple surgical disciplines highlight his versatility, dedication, and preparedness to become a future leader in surgery 🩺.

Professional Development 

Bryan Lim has actively pursued both clinical and academic excellence . He successfully completed the General Surgical Sciences Examination (GSES) in 2025, a key milestone for surgical trainees in Australia . He received a Certificate of Outstanding Contribution in Reviewing from the Journal of Plastic, Reconstructive & Aesthetic Surgery , recognizing his commitment to scholarly excellence and peer evaluation. Bryan’s teaching contributions include weekly bedside tutoring  for third-year medical students, covering essential surgical assessments like wounds and the surgical abdomen. He has volunteered with the Chinese Medical Association of Victoria (ACMAV) to promote medical collaboration and outreach among healthcare professionals . With an impressive publication record and multidisciplinary surgical exposure, Bryan consistently demonstrates a proactive attitude toward lifelong learning, mentorship, and leadership. His deep interest in surgical innovation, medical technology, and structured teaching puts him at the forefront of professional development in the next generation of clinicians .

Research Focus 

Bryan Lim’s research interests lie at the cutting edge of surgical innovation and technology integration . He has co-authored multiple peer-reviewed publications in plastic and reconstructive surgery, often exploring artificial intelligence applications in clinical decision-making, documentation, imaging interpretation, and peri-operative care . His work frequently intersects with digital health, telemedicine, and surgical education — including studies comparing AI models with experienced surgeons in burn management and CT angiography interpretation . Bryan also contributes to meta-analyses and systematic reviews that influence global surgical practices. He collaborates with international experts across Asia and Europe, emphasizing interdisciplinary approaches and evidence-based improvements . His ongoing research reflects a vision for smarter, patient-centered surgery powered by innovation, ethics, and robust data . Bryan’s keen focus on the evolving interface between AI and reconstructive procedures highlights his potential as a transformative figure in surgical science and clinical technology .

Awards & Honors 

Bryan Lim has garnered recognition for both clinical excellence and academic contributions . In 2025, he earned the Certificate of Outstanding Contribution in Reviewing from the Journal of Plastic, Reconstructive & Aesthetic Surgery, reflecting his active role in peer evaluation and editorial integrity . His successful completion of the General Surgical Sciences Examination (GSSE) in the same year marked an important achievement in his surgical training pathway . Bryan’s co-authored articles have been published in prestigious journals such as Aesthetic Plastic Surgery, Journal of Clinical Medicine, and Medicina, spotlighting his role in studies on AI in surgery, patient education, and reconstructive outcomes . Additionally, his commitment to teaching and volunteering with the Australian-Chinese Medical Association of Victoria underscores his dedication to community service and mentoring . These accolades demonstrate not only his technical skill but also his humanitarian values and academic promise as a rising star in surgery .

Publication of Top Notes

1.Response to “Letter to the Editor—Exploring the Unknown…”
  • Journal: Aesthetic Plastic Surgery
  • Year: 2025
  • DOI: 10.1007/s00266-024-04210-y
  • Authors: Ishith Seth, Bryan Lim, Warren M. Rozen
  • Summary: Responds to concerns about AI biases in ChatGPT’s plastic surgery insights. The authors advocate for better datasets and expert involvement to address misrepresentations and improve future AI applications.
2.Management of Burns: Multi-Center Assessment Comparing AI Models and Surgeons
  • Journal: Journal of Clinical Medicine
  • Year: 2025
  • DOI: 10.3390/jcm14093078
  • Authors: Marcaccini, Seth, Lim, Sacks, Novo, Ting, Cuomo, Rozen
  • Summary: Compares ChatGPT‑4o, Claude, and Kimi AI against experienced plastic surgeons in burn assessment. ChatGPT‑4o performed best overall. Suggests potential for AI–surgeon collaboration in diagnostics.
3.Response to “A Bibliometric Analysis…”
  • Journal: Aesthetic Plastic Surgery
  • Year: 2025
  • DOI: 10.1007/s00266-025-04902-z
  • Authors: Lim, Seth, Rozen
  • Summary: Commentary on prior bibliometric study on AI, mHealth, and telemedicine in plastic surgery. The authors support cross-disciplinary innovation and emphasize clinical applicability of AI tools.
4.Evaluating the Efficacy of Large Language Models in Medical Documentation
  • Journal: Aesthetic Plastic Surgery
  • Year: 2025
  • DOI: 10.1007/s00266-025-04842-8
  • Authors: Lim, Seth, Maxwell, Cuomo, Ross, Rozen
  • Summary: Compares documentation generated by ChatGPT‑4, 4o, and Claude. LLMs are promising for clinical summaries but require clinician oversight for accuracy and nuance.
5.Collagenase vs. Needle Fasciotomy for Dupuytren’s Disease
  • Journal: Life
  • Year: 2025
  • DOI: 10.3390/life15020259
  • Authors: Seth, McClure, Lim, Cuomo, Ross, Rozen
  • Summary: Meta-analysis compares two treatment modalities. Finds both effective, but collagenase preferred in specific scenarios due to less invasiveness.
6.Enhancing Anesthetic Patient Education Through the Utilization of Large Language Models for Improved Communication and Understanding
  • Authors: Jeevan Avinassh Ratnagandhi; Praghya Godavarthy; Mahindra Gnaneswaran; Bryan Lim; Rupeshraj Vittalraj MDPI+2ScienceDirect+2British and Irish Orthoptic Journal+2MDPI+1MDPI+1
  • Year: 2025 (published online 30 January) MDPI
  • Journal: Anesthesia Research, Volume 2, Issue 1, Article 4
  • DOI: 10.3390/anesthres2010004
  • Summary: This study examines the use of three large language models—ChatGPT‑4, Claude 3, and Gemini—for delivering anesthesia-related patient education.
7.Digital Twins Use in Plastic Surgery: A Systematic Review
8.Exploring Reverse Sural Flap Necrosis in Lupus‑like Syndrome: Challenges and Strategies in Lower Limb Reconstruction—A Case Presentation
  • Authors: Alessandra Ceccaroni; Roberto Cuomo; Paola Pentangelo; Antonioenrico Gentile; Caterina Marra; Warren Matthew Rozen; Ishith Seth; Bryan Lim; Carmine Alfano
  • Year: 2024 (published 13 December 2024)
  • Journal: Medicina, Volume 60, Issue 12, Article 2053
  • DOI: 10.3390/medicina60122053
  • Summary: This unique case report details reverse sural flap necrosis in a patient with lupus‑like syndrome, highlighting the complexities posed by systemic autoimmune disorders such as vasculopathy and impaired healing OAE Publish+11MDPI+11Semantic Scholar+11MDPI+1Semantic Scholar+1.
9.Ethical Issues of Artificial Intelligence in Plastic Surgery: A Narrative Review
  • Authors: Abhinav Singh; Ishith Seth; Bryan Lim; Roberto Cuomo; Warren M. Rozen
  • Year: 2024 (published 29 November 2024)
  • Journal: Plastic and Aesthetic Research
  • DOI: 10.20517/2347‑9264.2024.108
  • Summary: This narrative review explores ethical challenges arising from AI integration into plastic surgery, based on a literature search following PRISMA guidelines, with in‑depth analysis of 15 selected studies ScienceDirect+15colab.ws+15academic.oup.com+15.

 Conclusion

Dr. Bryan Lim is highly suitable for the Best Researcher Award, especially in the domain of medical innovation and reconstructive surgery enhanced by artificial intelligence. His work is characterized by clinical excellence, technological integration, and a commitment to patient-centered advancements. With a steady stream of impactful publications and a broad interdisciplinary approach, he clearly stands out as a top contender for this recognition.

Daniel Salomone Gonzalez | Engineering | Best Researcher Award

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Dr.Daniel Salomone Gonzalez |Engineering| Best Researcher Award

Phd. Ingeniero Consultor,Segingenieria ,Uruguay

Daniel Salomone González  is a distinguished Consultant Engineer in Energy Efficiency with SEG Ingeniería and serves as an independent expert across Latin America, the Caribbean, and Africa. With over 14 years of experience in the energy sector , Daniel has made significant contributions to the optimization of thermal systems, renewable energy integration, and large-scale efficiency audits . He holds a Ph.D. in Energy Engineering and has published cutting-edge research in leading journals . Daniel is also a lecturer at UNIT, where he trains the next generation of energy professionals. His career is marked by international collaborations, notably with institutions in Spain , Argentina , and Brazil . His passion lies in transforming energy systems toward a sustainable future through innovative, science-based solutions . He combines academic rigor with hands-on industrial experience, making him a leading voice in energy efficiency across developing regions.

Professional Profile

ORCID

Education & Experience 

Daniel is a Chemical Engineer  by training, with a Master’s and Ph.D. in Energy Engineering  from the University of the Republic, Uruguay . With more than 14 years of multidisciplinary expertise, he has specialized in energy audits, thermodynamic modeling, and renewable systems integration . His hands-on experience spans over 100 consultancy projects, including public, commercial, and industrial sectors. A dynamic educator , he lectures at UNIT, where he teaches future engineers about energy management and sustainability. His expertise is regularly sought after by governments and research institutions across the Caribbean, Africa, and Latin America . Whether leading a national-level energy audit or advising on heat storage modeling, Daniel blends academic precision with practical implementation, making him a trusted leader in energy systems engineering. His technical insights and field-tested solutions are vital for regions seeking energy transition and carbon reduction .

Professional Development 

Daniel has earned several distinguished professional certifications that reinforce his credibility in the energy sector. He is a Certified Measurement & Verification Professional (CMVP)® from EVO , a recognized ISO 50001 Energy Auditor , and an active instructor at UNIT , Uruguay’s national technical institute. He continuously enhances his professional scope through international collaborations with institutions like the University of Salamanca , ITCL Research Center, and the Saint Lucia Government . His leadership in energy audits and consultancy projects for public and industrial clients has contributed to transformative energy-saving strategies . As a lifelong learner, Daniel remains engaged in the latest energy innovations, such as heat pump energy storage systems and biomass integration . His role as a bridge between academia, industry, and policy not only elevates his career but also amplifies the impact of sustainable technologies across global regions. He exemplifies continual growth in the clean energy sector .

Research Focus 

Daniel’s research is rooted in the science and application of sustainable energy systems. His primary focus areas include pumped heat energy storage systems , thermodynamic modeling , biomass heating solutions , and energy management frameworks . With six completed or ongoing research projects and 5 peer-reviewed publications in high-impact journals like Energy Conversion and Management and Journal of Energy Storage, his work blends innovation with practicality. Daniel develops simulation-based models to optimize energy storage and consumption, a critical area for regions with intermittent energy supplies . His deep learning in system optimization enables industries and municipalities to reduce their carbon footprint effectively . Collaborating with universities and government bodies, Daniel ensures his research has both academic and on-ground impact. He consistently brings theoretical advancements to life through real-world applications, ensuring his work contributes to a cleaner, more efficient energy future .

Awards & Honors 

Daniel’s excellence in the energy field has earned him notable recognition. He was awarded first prize for both his master’s and Ph.D. theses , reflecting his academic brilliance and innovative contributions to energy systems. His practical work in consultancy has led to significant energy savings across over 100 major projects, earning acclaim from regional governments and international institutions . His expertise has positioned him as a preferred consultant and lecturer in both academic and industry circles. While he has not yet published books or registered patents, his published works in SCI-indexed journals and his role in transformative energy audits  make him a standout in applied energy research. His certification as a CMVP and ISO 50001 auditor adds further distinction . These honors highlight his dedication to both innovation and implementation, making him a strong candidate for the Best Researcher Award  at international forums.

Publication of Top Notes

1.Title: Advanced strategies for the efficient optimization and control of industrial compressed air systems

Authors: D. Salomone-González
Year: 2025
Citation: Results in Engineering, DOI: 10.1016/j.rineng.2025.10542

2.Title: Pumped heat energy storage with liquid media: Thermodynamic assessment by a transcritical Rankine-like model

Authors: D. Salomone-González, P.L. Curto-Risso, A. Calvo Hernández, A. Medina, J.M.M. Roco, J. Gonzalez-Ayala
Year: 2022
Citation: Journal of Energy Storage, DOI: 10.1016/j.est.2022.10596

3.Title: Modeling of heat leak effect in round trip efficiency for Brayton pumped heat energy storage with liquid media, by cooling and heating of the reservoirs tanks

Authors: D. Salomone-González
Year: 2022
Citation: Journal of Energy Storage, DOI: 10.1016/j.est.2021.103793

4.Title: Multicriteria optimization of Brayton-like pumped thermal electricity storage with liquid media

Authors: D. Salomone-González
Year: 2021
Citation: Journal of Energy Storage, DOI: 10.1016/j.est.2021.103242

5.Title: Pumped heat energy storage with liquid media: Thermodynamic assessment by a Brayton-like model

Authors: D. Salomone-González
Year: 2020
Citation: Energy Conversion and Management, DOI: 10.1016/j.enconman.2020.113540

6.Title: Redes de distribución de calor y frío a partir de biomasa para pequeñas comunidades en Uruguay

Authors: D. Salomone-González
Year: 2020
Citation: Memoria Investigaciones en Ingeniería, DOI: 10.36561/ing.18.2

Conclusion

Daniel Salomone González seamlessly bridges academic excellence and practical engineering innovation. His research has not only been published in top-tier journals but has also delivered measurable energy savings across developing regions. With a solid record of international collaboration, technical leadership, and recognized innovation, Daniel exemplifies the best qualities of a high-impact researcher. He stands out as a leading figure in applied energy research and is therefore an ideal candidate for the Best Researcher Award.

Santosh Mishra | Fluid Power Control | Best Researcher Award

Published on by Research Scientist

Assist. Prof. Dr.Santosh Mishra | Fluid Power Control | Best Researcher Award

Assistant Professor , National Institute of Technology Tiruchirappalli , India

Dr. Santosh Kumar Mishra  is an accomplished Assistant Professor in the Department of Production Engineering at NIT Tiruchirappalli . With a Ph.D. in Mechanical Engineering from IIT (ISM) Dhanbad , his expertise lies in fluid power systems, fault diagnostics, and control strategies in hydraulic machinery. A passionate educator and researcher , he has over 40 publications in SCI/Scopus journals  and has contributed significantly to the development of energy-efficient hydraulic systems. His goal is to integrate research innovations with hands-on industrial applications , helping train the next generation of engineers. Dr. Mishra continues to explore advanced control algorithms, hybrid hydraulic systems, and predictive maintenance in heavy machinery . His interdisciplinary approach reflects in his wide collaborations and curriculum development initiatives . Dedicated to continuous improvement and impactful science, he stands as a beacon of innovation and academic excellence .

Professional Profile

SCOPUS

 Education & Experience

Dr. Mishra began his academic journey at the Ramakrishna Mission School in Along, Arunachal Pradesh . He earned his B.Tech in Production Engineering from NIT Trichy  and completed his Ph.D. in Mechanical Engineering with a specialization inid powerfrom IIT (ISM) Dhanbad . During his Ph.D., he worked as both Junior and Senior Research Fellow at IIT (ISM), gaining hands-on expertise in advanced hydraulic systems . Post-Ph.D., he served as an Assistant Professor at Lovely Professional University and later joined NIT Trichy, where he currently contributes through teaching and research . His early professional experience includes working as an Executive Trainee at NMDC Ltd. . With a diverse background in academics, research, and industry, Dr. Mishra has developed robust competencies in teaching, mentoring, and engineering problem-solving .

 Professional Development

Dr. Mishra’s professional growth is marked by continuous learning and impactful contributions . He has qualified GATE (2012) and received an MHRD scholarship during his Ph.D. studies at IIT (ISM) Dhanbad . His career spans research, teaching, and industry, enabling him to bridge theoretical knowledge with real-world applications . He is proficient in cutting-edge tools such as MATLAB, LabVIEW, and Automation Studio , enhancing his research and teaching capabilities. Dr. Mishra has mentored multiple research projects and has been actively involved in curriculum development, especially in courses like fluid power systems, optimization, and automation . He frequently publishes in reputed journals and participates in national/international conferences and book chapter contributions . His dedication to interdisciplinary advancement is evident through his integration of control engineering, AI, and mechanical systems in modern academic discourse .

 Research Focus

Dr. Mishra’s research is rooted in the field of fluid power engineering, particularly focusing on hydraulic system diagnostics, control strategies, and energy efficiency . His studies address critical challenges in fault identification and performance control of hydrostatic transmission systems, commonly used in heavy earth-moving equipment, aircraft, and industrial automation . He applies intelligent systems like neural networks and fuzzy logic to develop adaptive control models and predictive maintenance frameworks . His research explores hybrid hydraulic systems to reduce energy loss, improve safety, and minimize operational costs . By integrating traditional mechanical approaches with modern AI tools, Dr. Mishra pushes the boundaries of smart manufacturing and sustainable system design . His work has vast applications in aerospace, mining, automotive, and renewable energy sectors, making it highly interdisciplinary and future-facing .

 Awards & Honors

Dr. Santosh Kumar Mishra has received multiple accolades for his academic and research excellence . He qualified the prestigious GATE exam in 2012 and was awarded the MHRD Scholarship for his Ph.D. . Throughout his career, he has published over 40 papers in reputed SCI and Scopus journals . He regularly contributes to international conferences and has authored seven book chapters with leading academic publishers like Springer and Elsevier . His research on hydraulic systems and hybrid control has gained international recognition, enhancing safety and energy efficiency across industries . At NIT Trichy, he is highly regarded for his innovative teaching and impactful research contributions . His collaborations span globally, contributing to a robust academic network. Dr. Mishra’s dedication to academic excellence, industrial impact, and student mentorship makes him a deserving candidate for awards in engineering innovation and research leadership .

Publication of Top Notes

1.Title: Fuzzy PD-Based Control for Excavator Boom Stabilization Using Work Port Pressure Feedback
Authors: Jose, J. T., Wrat, G., Mishra, S. K., Ranjan, P., & Das, J.
Year: 2025
Citation: Actuators, Vol. 14, No. 7, p. 336. (SCI Journal, Impact Factor: 2.3, Q2)

2.Title: Wire Arc Additive Manufacturing: Materials, Processes and Constraints
Authors: Mishra, S. K., Sreeraj P.R., Jose, S. S., & Upadhyay, R. K.
Year: 2025
Citation: Materials and Manufacturing Processes, pp. 1–18. (SCI Journal, Impact Factor: 4.1, Q1)

3.Title: Catalytic Synthesis of Dimethyl Carbonate from Urea and Methanol Using SnO₂ Nanoplates
Authors: Shukla, K., Mishra, S. K., Gaikwad, M. S., & Lin, Y. F.
Year: 2024
Citation: New Journal of Chemistry. (SCI Journal, Impact Factor: 2.7, Q2)

4.Title: Neural-Network Enhanced Internal Leakage Analysis for Efficient Fault Detection in Heavy Machinery Hydraulic Actuator Cylinders
Authors: Wrat, G., Jose, J. T., Mishra, S. K., Ranjan, P., & Das, J.
Year: 2024
Citation: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, pp. 1–11. (SCI Journal, Impact Factor: 1.8, Q2)

5.Title: Investigation of Corrosive and Mechanical Behaviour of Ni-P Doped Coating by Utilizing Electroless Method
Authors: Kumar, R., Singh, P. K., Saha, S., Mishra, S. K., Kumar, P., & Gobinath, R.
Year: 2023
Citation: Materials Letters, Article ID: 134826. (SCI Journal, Impact Factor: 2.7, Q2)

6.Title: Prediction of Irregularities and Study of Mechanical Properties in Laser Shock Peened Nickel Alloy
Authors: Jose, S. S. S., Mishra, S. K., Upadhyay, R. K., & Muthukannan, D.
Year: 2025
Citation: Discover Materials, 5(1), Article 31. (Open Access)

7. Title: Effect of Scanning Strategy on the Microstructure and Load-Bearing Characteristics of Additive Manufactured Parts
Authors: Jose, S. S., Mishra, S. K., & Upadhyay, R. K.
Year: 2024
Citation: Journal of Manufacturing and Materials Processing, 8(4), Article 146. (Scopus Indexed, Impact Factor: 3.3)

Conclusion 

Dr. Mishra’s research is marked by its real-world applicability, interdisciplinary depth, and technological innovation. His original contributions to electro-hydraulic control systems and energy-efficient machinery are not only academically impactful but also practically transformative. His work bridges mechanical engineering, automation, and intelligent control—meeting the expectations of modern industrial challenges.