Ruzayn Quaddoura | Computer Science | Best Researcher Award

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Assoc. Prof.Dr.Ruzayn Quaddoura | Computer Science | Best Researcher Award

Zarqa University, Jordanian

Dr. Ruzayn Quaddoura 🇯🇴 is a renowned academic and researcher in the field of computer science, specializing in combinatorial optimization and algorithmic graph theory. he has over two decades of teaching and research experience . Currently serving as Assistant Professor at Zarqa University in Jordan , he has also held teaching positions in Saudi Arabia 🇸🇦, France 🇫🇷, and Syria 🇸🇾. Dr. Quaddoura has made significant contributions to the study of NP-hard problems, scheduling algorithms, and digraph structures . He has authored numerous peer-reviewed publications in prestigious journals and conferences worldwide . Multilingual in Arabic, English, and French , he actively engages in academic committees, technical boards, and student mentorship. His dedication to quality education and advanced algorithm research positions him as a leading voice in theoretical computer science .

🔹Professional Profile

ORCID

🔹 Education & Experience

Dr. Quaddoura’s academic foundation was laid at Damascus University 🇸🇾, where he earned his Bachelor’s and Postgraduate Diploma in Mathematics . He then pursued a Diploma in French Language 🇫🇷 and later completed an MSc (DEA) in Operations Research – Combinatorial Optimization at INPG, Grenoble . He culminated his academic training with a PhD in Algorithmic Graph Theory from the University of Picardie Jules Verne, France .His professional journey began as a lecturer in Syria and France, before moving into Assistant Professor roles at Princess Sumaya University, Zarqa University, and King Abdulaziz University . Since 2011, he has been a key faculty member at Zarqa University’s Faculty of Information Technology. His teaching areas include algorithms, data structures, discrete mathematics, and compilers . His global academic experience and strong theoretical background reflect a career devoted to advancing computer science education and research .

🔹 Professional Development 

Throughout his career, Dr. Quaddoura has actively contributed to academic growth, institutional leadership, and scholarly collaboration . He has served on various academic committees at Zarqa University, including the Scientific Committee, Study Plan Committee, and Course Equivalence Committee. As Chairman of Exams and Committee Leader, he has shaped curriculum and assessment strategies with excellence.He played similar roles at King Abdulaziz University, contributing to master’s program oversight and curriculum development in computing and information technology . His refereeing activities include serving on the technical committees of prominent journals and conferences like IAJIT and ACIT . Additionally, he managed the Colleges of Computing and Information Society office in 2015, demonstrating organizational and strategic leadership.His professional footprint showcases not only academic rigor but also collaborative leadership, quality assurance, and international engagement in the computing education community .

🔹 Research Focus Category 

Dr. Ruzayn Quaddoura’s primary research lies in Theoretical Computer Science, focusing on Combinatorial Optimization, Algorithmic Graph Theory, and Complexity Theory . His work explores the deep structure of graphs, creating efficient solutions to NP-hard problems using novel algorithmic techniques . From linear-time scheduling algorithms for specific graph families to optimization in series-parallel digraphs and bipartite graphs, his research bridges abstract theory and real-world computational problems .He has also extended his expertise to applied fields such as the Internet of Things (IoT), encryption, and machine learning in wildfire detection . His publications in top-tier journals like IAJIT, Algorithms, and Symmetry highlight his contributions to both pure and applied research .Dr. Quaddoura’s innovative approaches to graph decomposition, structural analysis, and algorithmic efficiency contribute significantly to solving modern computing challenges through mathematical elegance and logical precision .

🔹 Awards and Honors 

 Dr. Quaddoura’s academic excellence has been recognized through several prestigious awards and honors. He earned a First Rank Honor Certificate from Damascus University in 1992 for academic distinction in Mathematics . He received a scholarship from INPG (France) for his MSc in Combinatorial Optimization and another scholarship from Picardie Jules Verne University to pursue his PhD in Theoretical Computer Science , In 2014, he was honored with a Recognition Paper Award from the World of Computer Science and Information Technology Journal for his innovative algorithm on induced matchings in bipartite graphs .These accolades reflect his commitment to research excellence, international academic collaboration, and impactful contributions to the field of computer science 🌍🔬.His scholarly achievements not only affirm his status as a leading researcher but also inspire a generation of students and scientists dedicated to algorithmic innovation and problem-solving .

🔹Publication of Top Notes

1. The Clique-Width of Minimal Series-Parallel Digraphs

Authors: Frank Gurski, Ruzayn Quaddoura
Year: 2025
Citation: Algorithms, 2025-05-28. DOI: 10.3390/a18060323

2.Early Wildfire Smoke Detection Using Different YOLO Models

Authors: Yazan Al-Smadi, Mohammad Alauthman, Ahmad Al-Qerem, Amjad Aldweesh, Ruzayn Quaddoura, Faisal Aburub, Khalid Mansour, Tareq Alhmiedat
Year: 2023
Citation: Machines, 2023. DOI: 10.3390/machines11020246

3. Internet of Things Protection and Encryption: A Survey

Authors: Ghassan Samara, Ruzayn Quaddoura, M. I. Al-Shalout, K. AL-Qawasmi, G. A. Besani
Year: 2022
Citation: arXiv, 2022. DOI: 10.48550/arxiv.2204.04189

4.Scheduling UET-UCT DAGs of Depth Two on Two Processors

Authors: Ruzayn Quaddoura, Ghassan Samara
Year: 2022
Citation: arXiv, 2022. DOI: 10.48550/arxiv.2203.15726

5. Scheduling UET-UCT DAGs of Depth Two on Two Processors

Authors: Ruzayn Quaddoura, Ghassan Samara
Year: 2021
Citation: 22nd International Arab Conference on Information Technology (ACIT), 2021. DOI: 10.1109/ACIT53391.2021.9677100

6.On 2-Colorability Problem for Hypergraphs with P₈-Free Incidence Graphs

Authors: Ruzayn Quaddoura
Year: 2020
Citation: International Arab Journal of Information Technology, 2020. DOI: 10.34028/iajit/17/2/14

🧾 Conclusion

Dr. Ruzayn Quaddoura is highly suitable for the Best Researcher Award. His research exhibits a rare balance of theoretical depth and practical relevance, particularly in the areas of graph theory, AI for environmental monitoring, and cybersecurity. His ongoing contributions to both academia and applied science solidify his standing as a leading and impactful researcher deserving of recognition.

Chaoli Zhang | Computer Science | Best Researcher Award

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Assist. Prof. Dr ChaoliZhang | Computer Science | Best Researcher Award

Lecturer at Zhejiang Normal University, China

Dr. Chaoli Zhang is a Lecturer at the College of Computer Science and Technology, Zhejiang Normal University . He received his Ph.D. in Computer Science and Technology from Shanghai Jiao Tong University  and has previously worked at Alibaba DAMO Academy as a Senior Engineer . With deep expertise in time series anomaly detection, intelligent systems, and wireless data center networks , he has authored several influential papers in top-tier conferences and journals like IEEE ToN, KDD, and CIKM . He holds multiple patents in AI-driven fault detection and data analysis . Known for blending academic excellence with industrial innovation , he actively contributes to national and provincial-level research projects. His work has earned him prestigious recognitions, including a championship in a global 5G fault localization challenge . Dr. Zhang continues to push the boundaries of AI applications in realworld intelligent systems .

🔹Professional Profile

GOOGLE SCHOLAR

🎓 Education & Experience

Dr. Zhang obtained his bachelor’s degree in Information Security and Law from Nankai University (2011–2015)  and earned his Ph.D. from Shanghai Jiao Tong University (2015–2020) in Computer Science and Technology . After completing his doctorate, he worked from 2020 to 2023 at the Machine Intelligence Lab of Alibaba DAMO Academy , where he led advanced AI projects related to anomaly detection and intelligent monitoring . Since January 2024, he has served as a Lecturer at Zhejiang Normal University, where he continues research in AI and teaches advanced computing topics . His education blends theoretical depth with multidisciplinary training, while his work experience bridges top-tier academia and cutting-edge industry R&D . This combination allows him to explore highly applied, intelligent systems with real-world impact .

📈 Professional Development

Dr. Zhang has demonstrated rapid professional growth through impactful roles in both academia and industry . At Alibaba DAMO Academy, he focused on intelligent systems for real-time anomaly detection in large-scale infrastructure . He has since transitioned into academia, taking a faculty role at Zhejiang Normal University where he now leads funded research projects on smart healthcare analytics and IoT anomaly diagnostics . His professional development is characterized by an emphasis on translational research—converting algorithms into deployable solutions for real-world systems . As a project leader, he has secured competitive funding from the Zhejiang Natural Science Foundation and municipal science programs . Dr. Zhang regularly presents at global conferences (e.g., KDD, CIKM), reflecting his active engagement with the international research community . With a strong portfolio of publications, patents, and leadership, his professional path exemplifies AI-driven innovation and academic-industrial synergy .

🧠 Research Focus

Dr. Chaoli Zhang’s research interests lie at the intersection of time series anomaly detection, intelligent computing, and wireless data center networks . He develops novel algorithms for fault root cause analysis, time-frequency decomposition, and multivariate data analysis . His work on models like TFAD and DCdetector introduces advanced methods combining attention mechanisms, contrastive learning, and decomposition techniques for real-time monitoring . His recent projects also explore heterogeneous IoT anomaly detection and healthcare time series analysis, contributing to the development of robust, interpretable, and scalable AI systems . These innovations support applications in smart cities, cloud platforms, and industrial diagnostics ⚙️. With a foundation in graph modeling and deep learning, Dr. Zhang’s research aims to enhance system resilience, operational intelligence, and automation reliability across complex environments .

🏅 Awards & Honors

Dr. Zhang has earned several notable awards that reflect the excellence and impact of his research work . He was the champion of the 2022 SP Grand Challenge on 5G network fault root cause localization, prevailing over 338 global teams . His practical AI deployment solutions earned him the AAAI/IAAI’23 Deployed Application Innovation Award, one of only 10 globally recognized projects that year . He holds multiple Chinese patents related to time series analysis and cloud-based diagnostic methods 🔬, underscoring his ability to translate theory into tangible technological advances. His papers have been featured in leading journals and conferences, where he served as first or co-first author (IEEE ToN, CIKM, KDD, TCS) . These accolades highlight his cross-domain innovation, commitment to real-world impact, and leadership in the intelligent systems community .

🔹Publication of Top Notes

1.Transformers in Time Series: A Survey

Authors: Q. Wen, T. Zhou, C. Zhang, W. Chen, Z. Ma, J. Yan, L. Sun
Year: 2023
Citations: 1328

2.DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

Authors: Y. Yang, C. Zhang, T. Zhou, Q. Wen, L. Sun
Year: 2023
Citations: 225

3.Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Authors: K. Zhang, Q. Wen, C. Zhang, R. Cai, M. Jin, Y. Liu, J.Y. Zhang, Y. Liang, …
Year: 2024
Citations: 222

4.Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Authors: M. Jin, Q. Wen, Y. Liang, C. Zhang, S. Xue, X. Wang, J. Zhang, Y. Wang, …
Year: 2023
Citations: 166

5. Large Language Models for Education: A Survey and Outlook

Authors: S. Wang, T. Xu, H. Li, C. Zhang, J. Liang, J. Tang, P.S. Yu, Q. Wen
Year: 2024
Citations: 146

6.TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis

Authors: C. Zhang, T. Zhou, Q. Wen, L. Sun
Year: 2022
Citations: 106

7.A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

Authors: Y. Yang, M. Jin, H. Wen, C. Zhang, Y. Liang, L. Ma, Y. Wang, C. Liu, B. Yang, …
Year: 2024
Citations: 76

8.LogiCoT: Logical Chain-of-Thought Instruction-Tuning

Authors: H. Liu, Z. Teng, L. Cui, C. Zhang, Q. Zhou, Y. Zhang
Year: 2023
Citations: 51

9. Transformers in Time Series: A Survey (arXiv version)

Authors: Q. Wen, T. Zhou, C. Zhang, W. Chen, Z. Ma, J. Yan, L. Sun
Year: 2022
Citations: 45

10. Bringing Generative AI to Adaptive Learning in Education

Authors: H. Li, T. Xu, C. Zhang, E. Chen, J. Liang, X. Fan, H. Li, J. Tang, Q. Wen
Year: 2024
Citations: 43

11.Pricing and Allocation Algorithm Designs in Dynamic Ridesharing System

Authors: C. Zhang, J. Xie, F. Wu, X. Gao, G. Chen
Year: 2020
Citations: 35

12.Transformers in Time Series: A Survey (repeat entry, possibly updated citation)

Authors: Q. Wen, T. Zhou, C. Zhang, W. Chen, Z. Ma, J. Yan, L. Sun
Year: 2023
Citations: 23

13.AHPA: Adaptive Horizontal Pod Autoscaling on Alibaba Cloud Kubernetes

Authors: Z. Zhou, C. Zhang, L. Ma, J. Gu, H. Qian, Q. Wen, L. Sun, P. Li, Z. Tang
Year: 2023
Citations: 22

14.Free Talk in the Air: A Hierarchical Topology for 60 GHz Wireless Data Center Networks

Authors: C. Zhang, F. Wu, X. Gao, G. Chen
Year: 2017
Citations: 19

15.Logical Reasoning in Large Language Models: A Survey

Authors: H. Liu, Z. Fu, M. Ding, R. Ning, C. Zhang, X. Liu, Y. Zhang
Year: 2025
Citations: 14

16.Online Auctions with Dynamic Costs for Ridesharing

Authors:C. Zhang, F. Wu, X. Gao, G. Chen
Year:2017
Citations:14

17.NetRCA: An Effective Network Fault Cause Localization Algorithm

Authors: C. Zhang, Z. Zhou, Y. Zhang, L. Yang, K. He, Q. Wen, L. Sun
Year: 2022
Citations: 13

📌 Conclusion 

Dr. Chaoli Zhang exemplifies the ideal recipient of the Best Researcher Award due to his proven research excellence, industry-validated innovations, and impactful contributions across multiple disciplines. His work seamlessly bridges the gap between theoretical advancements and real-world applications, particularly in artificial intelligence, anomaly detection, and time series analysis. With a strong publication record in top-tier journals and conferences, and recognized achievements such as the SP Grand Challenge 2022 and the AAAI/IAAI Innovation Award, Dr. Zhang has demonstrated both academic depth and practical relevance. His leadership in developing AI-driven solutions for complex, large-scale systems solidifies his standing as one of the top emerging voices in the field. These accomplishments collectively make him exceptionally worthy of recognition as a Best Researcher Award.

Jafar Fathali | Operations Research | Best Researcher Award

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Prof.Jafar Fathali | Operations Research | Best Researcher Award

University Professor at Shahrood University of Technology, Iran 

Professor Jafar Fathali 🎓 is a renowned academic in Operations Research and Applied Mathematics, currently serving as a Professor at the Faculty of Mathematical Sciences, Shahrood University of Technology, Iran 🇮🇷. With decades of contribution to location theory, heuristic optimization, and scheduling problems , he has become a distinguished figure in computational mathematics. A prolific researcher, Prof. Fathali has authored over 50+ peer-reviewed journal articles  in internationally recognized platforms such as EJOR, Soft Computing, and Computers & Industrial Engineering. He is actively involved in scholarly communities including the Iranian Mathematical Society and the Iranian Operations Research Society . Beyond research, he contributes as a referee for leading journals, mentoring students and advancing mathematical modeling in real-world applications. His academic journey is defined by innovation, persistence, and leadership , making him a vital contributor to the global research ecosystem .

🔹Professional Profile

SCOPUS

ORCID

📘 Education & Experience

Prof. Jafar Fathali holds a BSc in Applied Mathematics from Ferdowsi University of Mashhad , an MSc from Amirkabir University of Technology , and earned his Ph.D. in Applied Mathematics from Ferdowsi University in 2005 . With a solid foundation in mathematical theories, he began teaching at Shahrood University of Technology, where he advanced to a full professorship . Over the years, he has taught a wide array of undergraduate and graduate courses, including Operations Research, Advanced Linear & Nonlinear Programming, Combinatorial Optimization, and Numerical Analysis . His expertise spans both theoretical frameworks and practical applications, equipping students with problem-solving and analytical skills 🔍. With his academic and mentoring experience, Prof. Fathali has played a key role in shaping Iran’s next generation of mathematicians and operations research .

🚀 Professional Development

Professor Fathali has shown remarkable growth in academia through innovative research, interdisciplinary collaborations, and active journal reviewing . He has reviewed articles for top-tier journals such as European Journal of Operational Research, Transportation Research Part E, Soft Computing, and Optimization Methods and Software . He is a member of the Iranian Mathematical Society, Iranian Operations Research Society, and Iranian Statistics Society , reflecting his deep involvement in the academic community. His ability to integrate fuzzy logic, graph theory, and metaheuristic algorithms into practical models has enhanced decision-making strategies across industries . Prof. Fathali has also co-developed numerous hybrid algorithms involving genetic algorithms, ant colony optimization, and variable neighborhood search for solving complex problems . His active mentorship, editorial contributions, and research collaborations are key indicators of a career deeply committed to academic excellence, growth, and innovation .

🔬 Research Focus

Professor Jafar Fathali’s research is firmly rooted in Operations Research, with an emphasis on location theory , combinatorial optimization, and scheduling problems . He specializes in designing algorithms for complex decision-making models such as the p-median, p-center, and core location problems across graphs and trees . His methods employ heuristic techniques, metaheuristics (e.g., genetic algorithms , particle swarm optimization , and fuzzy logic  to model real-world uncertainties in logistics, network design, and resource allocation. Prof. Fathali has also explored inverse and semi-obnoxious location problems, expanding the scope of location models to account for service inefficiencies and backup facilities . His works address both theoretical and applied aspects, blending mathematical rigor with practical implementation . With continuous innovations in modeling and optimization, his contributions have significantly advanced the field of applied mathematics and operations research .

🏆 Awards & Honors

While specific awards and honors for Professor Jafar Fathali are not individually listed, his academic reputation is underscored by the impact and volume of his scholarly work . Having published in high-impact journals like European Journal of Operational Research and Soft Computing, his research has earned wide recognition and citation 🏆. Being a referee for over a dozen international journals and collaborating with well-known scholars such as R.E. Burkard, indicates peer acknowledgment and respect . His sustained publication record, editorial engagements, and frequent invitations to review complex mathematical models highlight his research excellence and international credibility . His contributions have helped define solutions for complex logistics and scheduling challenges, securing his place among Iran’s most influential operations research . With ongoing recognition from both academic institutions and scholarly circles, Prof. Fathali continues to be a role model for aspiring mathematicians and OR specialists globally .

🔹Publication of Top Notes

1.Convexity and sensitivity analysis of the median line location problem

Authors: Mehdi Golpayegani, Jafar Fathali
Year: 2025
Journal: International Journal of Systems Science: Operations & Logistics
DOI: 10.1080/23302674.2025.2529967

2.Greedy algorithms for the inverse center line location problem

Authors: Mehdi Golpayegani, Jafar Fathali
Year: 2025
Journal: Expert Systems with Applications
DOI: 10.1016/j.eswa.2025.129064

3.Fuzzy balanced allocation problem with efficiency on facilities

Authors: Azam Azodi, Jafar Fathali, Mojtaba Ghiyasi, Tahereh Sayar
Year: 2023
Journal: Soft Computing
DOI: 10.1007/s00500-022-07695-4

4.The balanced 2-median and 2-maxian problems on a tree

Authors: Jafar Fathali, Mehdi Zaferanieh
Year: 2023
Journal: Journal of Combinatorial Optimization
DOI: 10.1007/s10878-023-00997-9

5.Finding the absolute and vertex center of a fuzzy tree

Authors: Fatemeh Taleshian, Jafar Fathali, Nemat Allah Taghi-Nezhad
Year: 2022
Journal: Transportation Letters
DOI: 10.1080/19427867.2021.1909797

6.The minimum information approach to the uncapacitated p-median facility location problem

Authors: Mehdi Zaferanieh, Maryam Abareshi, Jafar Fathali
Year: 2022
Journal: Transportation Letters
DOI: 10.1080/19427867.2020.1864595

7.Fuzzy Balanced Allocation Problem with Efficiency on Servers

Authors: Azam Azodi, Jafar Fathali, Mojtaba Ghiyasi, Tahereh Sayar
Year: 2021
Type: Preprint
DOI: 10.21203/rs.3.rs-444116/v1

8.Inverse and reverse balanced facility location problems with variable edge lengths on trees

Authors: Shahede Omidi, Jafar Fathali, Morteza Nazari
Year: 2020
Journal: OPSEARCH
DOI: 10.1007/s12597-019-00428-6

9.Finding an optimal core on a tree network with M/G/c/c state-dependent queues

Authors: Mehrdad Moshtagh, Jafar Fathali, James MacGregor Smith, Nezam Mahdavi-Amiri
Year: 2019
Journal: Mathematical Methods of Operations Research
DOI: 10.1007/s00186-018-0651-3

10.The Stochastic Queue Core problem, evacuation networks, and state-dependent queues

Authors: Mehrdad Moshtagh, Jafar Fathali, J. MacGregor Smith
Year: 2018
 Journal: European Journal of Operational Research
 DOI: 10.1016/j.ejor.2018.02.026

🏁Conclusion

Professor Fathali’s research stands out due to its mathematical rigor, practical relevance, and algorithmic innovation. His work significantly advances the optimization and decision sciences field, contributing both theoretical frameworks and practical solutions. These qualities, combined with his sustained academic output, collaborative spirit, and international impact, make him an ideal candidate for the Best Researcher Award.

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.

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.

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

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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.

xianjing Lin |wireless communication| Best Researcher Award

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Dr.xianjing Lin | wireless communication | Best Researcher Award

Associate professor , School of Electronic Engineering and Intelligence, Dongguan University of Technology , China

Dr. Xianjing Lin  is a passionate and innovative Associate Professor at the School of Electronic Engineering and Intelligence, Dongguan University of Technology . She specializes in RF wireless communication , particularly in filtering antennas, microwave circuits, and massive MIMO antennas. Born in Hunan, China , Dr. Lin earned her Ph.D. in Electromagnetic Field and Microwave Technology from South China University of Technology in 2017 . With 25+ journal publications , 15 patents , and contributions to 5 consultancy projects , she has significantly advanced antenna integration and selectivity in wireless systems. As a reviewer for top-tier journals like IEEE Antennas and Wireless Propagation Letters , she’s deeply involved in scholarly communication. Her research is widely cited , reflecting her global scientific impact. Dr. Lin is a true role model in electronics and antenna design, committed to advancing communication technologies through innovative research and academic excellence .

Professional Profile

ORCID

Education and Experience 

Dr. Xianjing Lin began her academic journey in Hunan, China , culminating in a Ph.D. in Electromagnetic Field and Microwave Technology  from South China University of Technology in 2017. Soon after, she joined Dongguan University of Technology as a Lecturer and now serves as an Associate Professor in the School of Electronic Engineering and Intelligence. With nearly a decade of academic experience , she has built a strong foundation in RF systems, microwave circuits, and antenna design . Dr. Lin has successfully led or participated in five research and five industry consultancy projects . Her career is marked by both technical excellence and mentorship , actively guiding students and collaborating with peers internationally . She also contributes as a guest editor and journal reviewer , making her a respected voice in her field. Her commitment to research, teaching, and innovation sets her apart in modern wireless technology education .

Professional Development 

Dr. Lin has continuously expanded her professional horizons through multifaceted contributions in wireless communication technologies . With 25+ research papers published in high-impact journals , she actively shares her innovations in filtering duplex antennas and MIMO systems. Her editorial role as a guest editor and reviewer for prestigious journals like IEEE AWPL  reflects her peer-recognition. In addition to 15 patents filed or under review , Dr. Lin is part of three professional societies , where she exchanges ideas with global experts. Her participation in two international collaborations  has strengthened her cross-border research visibility. She stays updated with emerging tech trends  and engages in hands-on consultancy projects with the industry . Her active ORCID and digital presence validate her transparent academic footprint 📊. Dr. Lin exemplifies lifelong learning, combining cutting-edge research with professional responsibility, and remains committed to pushing the boundaries of smart antenna integration and microwave innovation .

Research Focus 

Dr. Xianjing Lin’s research focuses on RF wireless communication technologies , particularly filtering antennas , microwave circuits , and massive MIMO antenna systems . Her work aims to develop compact, high-selectivity antennas for next-generation communication systems . Through innovative designs, she has improved wireless performance, reduced interference, and enhanced signal clarity . Her research has practical applications in 5G/6G networks, IoT, and smart devices . With 25 published journal articles  and 15 patents , her research is both academically rigorous and industry-relevant . Dr. Lin actively engages in real-world projects with industries, bridging the gap between theory and application . Her areas of exploration include electromagnetic compatibility, antenna miniaturization, and reconfigurable RF systems . Her dedication to collaborative research and advanced antenna technologies makes her a leading force in wireless innovation . She continues to inspire and influence the evolution of smart, compact, and efficient communication systems .

Awards and Honors 

Dr. Xianjing Lin has earned wide recognition for her impactful research in RF wireless communication and antenna technologies . She has filed 15 patents , showcasing her strong innovation credentials. Her 25+ journal publications in SCI/Scopus-indexed journals  have attracted 67+ citations , validating her research relevance. Dr. Lin has served as a guest editor and reviewer for leading journals including IEEE Antennas and Wireless Propagation Letters , a testament to her scholarly authority. She has participated in multiple research and industry projects , blending academic excellence with practical insight. She holds three professional memberships, affirming her active presence in the global research community . Though she is still early in her accolades journey, Dr. Lin is nominated for the Best Researcher Award, celebrating her contributions to filtering antenna innovations and microwave engineering. Her continued efforts are paving the way for future breakthroughs in advanced wireless systems .

Publication of Top Notes

1. A Wideband Circularly Polarized Filtering Dipole Antenna
  • Authors: Xianjing Lin, Ruishan Huang, Miaowang Zeng, An Yan
  • Journal: Symmetry
  • Published: 2025-07-03
  • DOI: 10.3390/sym17071047
  • Summary:
    This article presents a novel design of a wideband circularly polarized filtering dipole antenna, combining compact size with high performance. The design incorporates filtering functionality within the antenna structure itself, enhancing bandwidth and polarization purity. It targets modern wireless communication systems where reduced size and enhanced selectivity are critical.
2. A Compact Circularly Polarized Filtering Dipole Antenna With Co-Layered Printed Ring Structures
  • Authors: Xian Jing Lin, Yao Zhang, Zhi Lin Qiu, Zheng Huang
  • Journal: IEEE Antennas and Wireless Propagation Letters
  • Published: 2024-10
  • DOI: 10.1109/LAWP.2024.3424868
  • Summary:
    This paper introduces a miniaturized circularly polarized antenna that employs co-layered printed ring structures to achieve effective filtering and polarization simultaneously. The approach enables integration in space-constrained devices without sacrificing electromagnetic performance. It’s particularly relevant for IoT and wearable applications.
3. The Aesthetics and Pragmatics of Symmetry in High-Gain and Wideband Circularly Polarized Antenna Design
  • Authors: Chunping Liao, Wenyong Liu, Xianjing Lin
  • Journal: Symmetry
  • Published: 2024-08-09
  • DOI: 10.3390/sym16081016
  • Summary:
    This article explores both functional and design-oriented aspects of antenna symmetry. It discusses how symmetric structures in high-gain circularly polarized antennas lead to improved radiation performance and aesthetic engineering design. The study bridges form and function in RF component development.
4. A Compact Triple-Band and Dual-Sense Circularly Polarized Truncated Patch Antenna
  • Authors: Xian Jing Lin, Zhen Hua Wu, Yao Zhang
  • Journal: IEEE Access
  • Published: 2023
  • DOI: 10.1109/ACCESS.2023.3273114
  • Summary:
    The authors propose a triple-band antenna capable of dual-sense circular polarization. Utilizing a truncated patch structure, the antenna supports multiple frequency bands with opposite polarizations—ideal for applications in satellite communication and multiband wireless systems.
5. Dual-Polarized Duplex Patch Antenna Based on a Multiport Ring Feeding Structure
  • Authors: Xian Jing Lin, Yao Zhang, Longfang Ye, Qing Huo Liu
  • Journal: IEEE Antennas and Wireless Propagation Letters
  • Published: 2023-09
  • DOI: 10.1109/LAWP.2023.3287560
  • Summary:
    This study presents a dual-polarized patch antenna featuring a multiport ring feeding structure that enables duplex operation. This design simplifies the architecture for systems requiring simultaneous transmission and reception, reducing interference and improving efficiency in RF front-end modules.
6. A Simple Structure Dual-Band Dual-Circularly Polarized Antenna With Controlled Frequency Ratio
  • Authors: Xian Jing Lin, Zhen Hua Wu, Shan Jin Wang, Zeng Pei Zhong, Ying Xin Lai, Yao Zhang
  • Journal: IEEE Access
  • Published: 2022
  • DOI: 10.1109/ACCESS.2022.3225450
  • Summary:
    This paper proposes an antenna with a simple structure that supports dual-band dual-circular polarization, while offering control over the frequency ratio. It offers a versatile and tunable solution for systems that require multiband performance with polarization diversity—such as advanced satellite or radar applications.

Conclusion

Dr. Xianjing Lin’s research excellence, innovative mindset, and impactful contributions clearly align with the criteria for the Best Researcher Award. Her work not only advances scientific understanding but also addresses emerging challenges in wireless communication systems. Her dedication, technical achievements, and future potential solidify her place among the top research talents globally. 🏅

Mr Xinjie Wang | Biomineralization | Best Researcher Award

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Mr Xinjie Wang | Biomineralization | Best Researcher Award

Mr Xinjie Wang | Institute of Geology, Chinese Academy of Geological Sciences | China

Xinjie Wang  is a passionate young researcher 📚 currently pursuing a Master’s degree 🧑‍🎓 in Paleontology at the Institute of Geology, Chinese Academy of Geological Sciences 🇨🇳. Under the guidance of Dr. Yang Ben, Xinjie focuses on biomineralization processes in early life forms 🦠. He has made impactful contributions to the taphonomic and mineralogical study of Sinotubulites, advancing our understanding of fossil preservation during the Ediacaran–Cambrian transition ⛏️. With a strong academic foundation and commitment to geoscience innovation 🌍, Xinjie stands out as a promising figure in the field of paleontology and early life evolution 🧬.

Professional Profile

ORCID

Education & Experience

Xinjie Wang began his academic journey at Shandong University of Science and Technology 🎓, where he laid a strong foundation in geology 🪨. He is currently pursuing his Master’s degree in Paleontology 🧑‍🔬 at the prestigious Institute of Geology, Chinese Academy of Geological Sciences 🏛️. Under the mentorship of Dr. Yang Ben 👨‍🏫, he actively engages in research involving early biomineralizing organisms 🧫. His academic training includes fieldwork, fossil analysis, and advanced imaging techniques 🔬. Xinjie’s experience is enriched by his involvement in national scientific projects, allowing him to bridge academic research with applied geological studies 🌐.

Professional Development

Xinjie Wang’s professional growth is fueled by high-impact research 🧪 and collaboration in nationally funded projects, such as those supported by the National Natural Science Foundation of China and China Geological Survey 🇨🇳. His recent publication in Minerals 📖 reflects his expertise in taphonomic analysis using EBSD and CL imaging techniques 🔍. By integrating modern microscopy with paleontological inquiry, he has built a strong framework for analyzing Ediacaran fossil records 🪷. Xinjie actively collaborates within geological institutes and contributes to China’s growing body of paleontological literature, reinforcing his professional identity as a future leader in the geosciences 🌏.

Research Focus & Category 

Xinjie Wang’s research is centered on Biomineralization and Paleontology 🧬🦴, particularly within the Ediacaran and Cambrian periods. His work sheds light on fossil preservation mechanisms through advanced analytical techniques like EBSD and cathodoluminescence microscopy 🔬. By studying Sinotubulites, he investigates early mineral-forming biological processes and their taphonomic transformations 🧫. His work contributes to understanding evolutionary milestones and geobiological interactions 🌍. Aligned with the “Best Researcher Award” category 🏆, his efforts blend traditional paleontology with modern imaging tools, making significant contributions to earth history, fossil mineralogy, and the paleogeography of early life on Earth 📜.

Awards & Honors 

Xinjie Wang is emerging as a distinguished researcher in paleontology 🏅. He is the lead author of a peer-reviewed study published in Minerals 📘 and actively contributes to nationally funded scientific programs, including projects supported by the National Natural Science Foundation of China and the China Geological Survey 📊. His recognition stems from pioneering work on Sinotubulites, contributing to fossil taphonomy and biomineralization frameworks 🦠. These achievements position him as a top candidate for honors like the Best Researcher Award 🏆. His commitment to academic integrity, innovation, and field relevance underscores his rising impact in geological sciences 🧭.

Publication Top Notes

Taphonomic Analysis of the Sinotubulites from the Shibantan Member of the Dengying Formation in Yangtze Gorges Area (China)

Wang, X., Yang, B., An, Z., & Zhao, Z. (2025). Taphonomic analysis of the Sinotubulites from the Shibantan Member of the Dengying Formation in Yangtze Gorges Area (China). Minerals, 15(6), 570. https://doi.org/10.3390/min15060570

Conclusion

Xinjie Wang is a deserving nominee for the Best Researcher Award. His scientific innovation, methodological expertise, and impactful early-career contributions set him apart as a future leader in paleontology and geoscience research. His work bridges traditional fossil analysis with cutting-edge technology, making a significant mark on the field.

Dr . SamiraZafarnak | Hydrogenation | Best Researcher Award

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Dr .SamiraZafarnak | Hydrogenation | Best Researcher Award

Dr . Samira Zafarnak , Shiraz University , Iran

A passionate and driven researcher 🎓, this individual holds a Ph.D. in Chemical Engineering 🧪 from Shiraz University, with specialized expertise in catalysis, materials science, and sustainable energy 🌱. With academic and industrial experience in both Iran 🇮🇷 and the United Kingdom 🇬🇧, they bring a global, interdisciplinary approach 🌍 to research. Their current postdoctoral role at the Methanol Institute involves pioneering catalytic processes for methanol synthesis and CO₂ conversion 🔬. Renowned for their adaptability, collaboration 🤝, and critical problem-solving skills 💡, they contribute impactful knowledge in clean energy technologies and environmentally responsible engineering 🌐.

Professional Profile

SCOPUS

ORCID

Education & Experience

This accomplished researcher earned their Ph.D. 🎓 in Chemical Engineering from Shiraz University (2019–2023), with a dissertation on biogas reforming using nano clay catalysts 🔍. They also completed an M.Sc. (2014–2017) in the same field, focusing on ethane to ethylene conversion 🔬, and a B.Sc. (2009–2013) from Islamic Azad University 📘. Their academic journey is complemented by hands-on research in catalytic design and plasma systems during postdoctoral appointments in Iran 🇮🇷 and the UK 🇬🇧. Their current role involves catalyst fabrication, reactor design 🏗️, and gas chromatography-based evaluation at the Methanol Institute 🔧.

Professional Development

In their postdoctoral career, this researcher has embraced interdisciplinary growth 🌐 by engaging in high-level catalyst synthesis, plasma engineering ⚡, and reactor design. They contributed to RF-driven plasma jet development at the University of York 🇬🇧, analyzing hydroxyl density using spectrometry 🧫. At the Methanol Institute, they design scaled-up reactors and evaluate novel catalysts for CO₂ hydrogenation and RWGS reactions 🔁. They demonstrate a commitment to safety standards, laboratory excellence 🧪, and continuous learning 📈. These experiences have strengthened their adaptability, analytical thinking, and global collaboration capacity 🤝 in cutting-edge chemical engineering applications.

Research Focus

Their research focus centers on catalysis, sustainable energy conversion, and CO₂ utilization 🌱. By exploring noble/non-noble metal catalysts over nano-structured supports, they aim to make energy processes cleaner and more efficient ♻️. Their work bridges fields such as heterogeneous catalysis, nanomaterials 🧲, and plasma applications in chemical reactions ⚛️. Key areas include biogas reforming, methanol synthesis, and the Reverse Water Gas Shift (RWGS) reaction 🔄. Their research contributes to global efforts in green technology, reducing carbon emissions 🌍, and advancing the next generation of chemical reactors and materials innovation 🔧.

Awards & Honors

This dedicated scientist has earned recognition through competitive academic placements and impactful research appointments 🌟. Their Ph.D. research was praised for its innovation in sustainable energy systems ⚡. They were selected as a Postdoctoral Associate at the prestigious University of York 🇬🇧 and later as a Fellow at the Methanol Institute 🇮🇷, where they lead pivotal reactor design projects 🏗️. Their work has been highlighted in academic presentations and journal submissions 📚. A strong candidate for future research excellence awards 🥇, their contributions to catalytic engineering and green chemistry have marked them as a rising talent in chemical innovation 🧪.

Publication Top Notes

1. Dry reforming of methane for CO₂ conversion using sintering-resistant halloysite-supported Ni catalysts enhanced by alkaline-earth metal oxide promoters

Citation:
Zafarnak, S. (2025). Dry reforming of methane for CO₂ conversion using sintering-resistant halloysite-supported Ni catalysts enhanced by alkaline-earth metal oxide promoters. Fuel, Published: 2025-03-19.
Roles: Writing – review & editing, Data curation, Formal analysis, Methodology, Writing – original draft, Funding acquisition.

2. Design and fabrication of a microchannel plasma reactor for pharmaceutical wastewater treatment

Citation:
Peiravi, M., Zafarnak, S., & Taghvaei, H. (2025). Design and fabrication of a microchannel plasma reactor for pharmaceutical wastewater treatment. Journal of Water Process Engineering, 107007. https://doi.org/10.1016/j.jwpe.2025.107007

3. Zeolite and molecular sieves for natural gas dehydration

Citation:
Zafarnak, S., & Rahimpour, M. R. (2024). Zeolite and molecular sieves for natural gas dehydration. In Advances in Natural Gas: Formation, Processing, and Applications. https://doi.org/10.1016/B978-0-443-19221-0.00002-8

4. Membrane technology for syngas production

Citation:
Zafarnak, S., Meshksar, M., Rahimpour, H. R., & Rahimpour, M. R. (2023). Membrane technology for syngas production. In Advances in Synthesis Gas: Methods, Technologies and Applications. https://doi.org/10.1016/B978-0-323-91871-8.00007-6

5. Postdisaster issues and problems

Citation:
Zafarnak, S., Rahmatmand, B., & Rahimpour, M. R. (2023). Postdisaster issues and problems. In Crises in Oil, Gas and Petrochemical Industries. https://doi.org/10.1016/B978-0-323-95163-0.00015-3

Conclusion

Dr. Zafarnak embodies the essence of a “best researcher” through her scientific rigor, innovation, and dedication to sustainable technologies. Her work not only contributes significantly to the scientific community but also addresses critical global challenges in energy, environment, and chemical engineering. The combination of her academic excellence, international impact, and practical contributions makes her a standout candidate for any Best Researcher Award.