Yu Cheng Wang | Engineering | Best Research Article Award

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Assoc. Prof. Dr. Yu Cheng Wang | Engineering | Best Research Article Award

Aeronautical Engineering Of Chair at Chaoyang University of Technology | Taiwan

Prof. Dr. Yu Cheng Wang  is a distinguished academic and researcher, currently serving as Associate Professor and Chair of the Department of Aeronautical Engineering at Chaoyang University of Technology, Taiwan. He holds a Ph.D. in Industrial Engineering from Feng Chia University and has built a reputation for advancing research at the intersection of aeronautical systems, intelligent manufacturing, and explainable artificial intelligence. With more than publications in SCI and Scopus-indexed journals, his contributions have made significant impact in manufacturing optimization and decision-support systems. He has an h-index of  with over citations, reflecting the scholarly influence of his work. Prof. Wang also collaborates extensively with colleagues across Taiwan and internationally, bridging academic research and industry practice. His work on Industry 4.0 applications in semiconductor manufacturing showcases his commitment to developing transparent and human-centered AI systems that directly address real-world industrial challenges.

Professional Profile

ORCID Profile | Scopus Profile

Education 

Prof. Dr. Yu Cheng Wang pursued his academic journey with a focus on engineering, systems, and innovation. He earned his Ph.D. in Industrial Engineering from Feng Chia University, Taiwan, where his doctoral research laid the foundation for his expertise in intelligent systems and complex manufacturing processes. His educational background reflects a strong balance between theoretical modeling and applied problem-solving. Dr. Wang’s training emphasized operations research, production systems, and the integration of artificial intelligence into industrial applications, which later expanded into explainable AI frameworks for decision support. His solid grounding in industrial engineering principles has allowed him to extend his research into aeronautical systems and semiconductor manufacturing. With this interdisciplinary academic foundation, he has successfully bridged domains such as fuzzy theory, optimization, and smart manufacturing, enabling him to pursue pioneering research in Industry 4.0. His educational journey demonstrates a commitment to combining engineering rigor with innovative technological applications.

Experience 

Prof. Dr. Yu-Cheng Wang has extensive academic and professional experience that combines leadership, research, and industry collaboration. As Department Chair and Associate Professor at Chaoyang University of Technology, he oversees curriculum development, research strategy, and faculty mentorship in aeronautical engineering. His leadership extends to managing cross-disciplinary projects that integrate aeronautical engineering with intelligent manufacturing and artificial intelligence applications. He has spearheaded major research initiatives, including the Industry 4.0 XAI project for wafer-fab output forecasting, a groundbreaking effort that combines machine learning with interpretability for industrial decision-making. His experience also spans consultancy projects that provide practical solutions for semiconductor manufacturing, aligning academic research with industry needs. Prof. Wang’s editorial contributions over appointments demonstrate his recognition as a peer reviewer and thought leader in his field. Through collaborations with colleagues such as Tin-Chih Toly Chen and Chi-Wei Lin, he has broadened his international research presence and strengthened academia-industry knowledge exchange.

Research Interest

Prof. Dr. Yu-Cheng Wang’s research interests lie at the intersection of aeronautical engineering, smart manufacturing, and artificial intelligence. His primary focus is on explainable AI (XAI), where he develops models that not only achieve predictive accuracy but also provide transparency and interpretability for industrial decision-makers. He applies these methods to semiconductor manufacturing, Industry 4.0 environments, and production planning, ensuring that complex systems are optimized while remaining human-understandable. His work extends to fuzzy theory and decision analytics, particularly in contexts where uncertainty and complexity are critical, such as aerospace systems and large-scale industrial operations. Beyond manufacturing, Dr. Wang also explores applications of XAI in training and maintenance, including VR-based approaches for sustainable engineering education. By linking advanced computational models with practical engineering needs, his research contributes to both academic advancement and industry transformation, ensuring technological innovation supports efficiency, sustainability, and human factors integration.

Award and Honor

Prof. Dr. Yu-Cheng Wang has earned recognition for his scholarly contributions and leadership in the fields of aeronautical engineering and artificial intelligence. His publications in high-impact international journals such as The International Journal of Advanced Manufacturing Technology, Complex & Intelligent Systems, and Decision Analytics Journal highlight his academic influence and earned him strong citation metrics, with an h-index of 15 and more than citations. These achievements reflect his standing in the research community. His editorial appointments  across SCI and Scopus-indexed journals demonstrate the trust placed in him as a global reviewer and evaluator of cutting-edge research. He has also been actively involved in industry-driven projects, bridging academia and practical innovation, which further highlights his leadership. Recognition through research funding, collaborations, and invitations to contribute to international projects underscores his role as a thought leader. Collectively, these honors validate his impact as a forward-looking scientist and educator.

Research Skill

Prof. Dr. Yu Cheng Wang possesses a robust set of research skills that combine technical depth with interdisciplinary application. He is proficient in developing explainable AI frameworks, integrating advanced machine learning models with interpretability methods such as SHAP and rule-based surrogates to improve transparency in industrial decision systems. His expertise extends to fuzzy theory, production planning, and smart manufacturing analytics, making him adept at tackling complex and uncertain problems in both aeronautical and industrial domains. He has successfully applied these skills to semiconductor manufacturing, leading research on wafer-fab output forecasting that directly supports industry needs. In addition to computational modeling, Dr. Wang demonstrates strong skills in data analytics, simulation, and optimization, enabling him to bridge theory with real-world application. His experience with large-scale collaborations and consultancy projects further reflects his ability to integrate technical innovation with industry practices, positioning him as both a problem solver and research leader.

Publication Top Notes

Title: An explainable decision model for selecting facility locations in supply chain networks
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Yi-Chi Wang
Journal: Supply Chain Analytics
Year: 2025

Title: Enhancing the effectiveness of output projection in wafer fabrication using an Industry 4.0 and XAI approach
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Chi-Wei Lin
Journal: The International Journal of Advanced Manufacturing Technology
Year: 2024

Title: Adapted techniques of explainable artificial intelligence for explaining genetic algorithms on the example of job scheduling
Authors: Yu-Cheng Wang; Toly Chen
Journal: Expert Systems with Applications
Year: 2024

Title: Evaluating innovative future robotic applications in manufacturing using a fuzzy collaborative intelligence approach
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang
Journal: The International Journal of Advanced Manufacturing Technology
Year: 2024

Title: A heterogeneous fuzzy collaborative intelligence approach: Air quality monitor selection study
Authors: Tin-Chih Toly Chen; Yu-Cheng Lin; Yu-Cheng Wang
Journal: Applied Soft Computing
Year: 2023

Title: Prediction of engine failure time using principal component analysis, categorical regression tree, and back propagation network
Authors: Yu-Cheng Wang
Journal: Journal of Ambient Intelligence and Humanized Computing
Year: 2023

Title: Improving people’s health by burning low-pollution coal to improve air quality for thermal power generation
Authors: Tin-Chih Toly Chen; Teng Chieh Chang; Yu-Cheng Wang
Journal: Digital Health
Year: 2023

Title: A selectively calibrated derivation technique and generalized fuzzy TOPSIS for semiconductor supply chain localization assessment
Authors: Toly Chen; Yu-Cheng Wang; Pin-Hsien Jiang
Journal: Decision Analytics Journal
Year: 2023

Title: New XAI tools for selecting suitable 3D printing facilities in ubiquitous manufacturing
Authors: Yu-Cheng Wang; Toly Chen
Journal: Complex & Intelligent Systems
Year: 2023

Title: A modified random forest incremental interpretation method for explaining artificial and deep neural networks in cycle time prediction
Authors: Toly Chen; Yu-Cheng Wang
Journal: Decision Analytics Journal
Year: 2023

Title: 3D Printer Selection for Aircraft Component Manufacturing Using a Nonlinear FGM and Dependency-Considered Fuzzy VIKOR Approach
Authors: Yu-Cheng Wang; Tin-Chih Toly Chen; Yu-Cheng Lin
Journal: Aerospace
Year: 2023

Title: An efficient approximating alpha-cut operations approach for deriving fuzzy priorities in fuzzy multi-criterion decision-making
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Min-Chi Chiu
Journal: Applied Soft Computing
Year: 2023

Title: A novel auto-weighting deep-learning fuzzy collaborative intelligence approach
Authors: Yu-Cheng Wang; Tin-Chih Toly Chen; Hsin-Chieh Wu
Journal: Decision Analytics Journal
Year: 2023

Title: An explainable deep-learning approach for job cycle time prediction
Authors: Yu-Cheng Wang; Toly Chen; Min-Chi Chiu
Journal: Decision Analytics Journal
Year: 2023

Conclusion

Dr. Yu-Cheng Wang has consistently demonstrated academic excellence and research innovation across aeronautical engineering, explainable AI, and smart manufacturing systems. In publications in leading SCI/Scopus-indexed journals, an h-index of , and more than  citations, his work bridges theory with impactful industrial applications, particularly in semiconductor manufacturing and Industry 4.0 transformations. His leadership as Department Chair, coupled with collaborations with renowned scholars, highlights his influence on both research and education. Recognized for advancing interpretable AI for real-world adoption, Dr. Wang’s contributions embody the spirit of innovation, making him a strong and deserving candidate for the Best Researcher Award.

Aixia Yuan | Engineering | Best Researcher Award

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Dr. Aixia Yuan | Engineering | Best Researcher Award

Teacher at Dalian Polytechnic University, China

Dr. Aixia Yuan is a passionate educator and researcher currently serving as a Teacher at Dalian Polytechnic University, China . She received her Ph.D. in Communication and Information Systems from Dalian Maritime University . With a strong background in wireless communication, filters, and radio frequency technology, she has authored and co-authored  research papers in international journals and conferences . Dr. Yuan teaches “Communication Principles”, a course recognized as an “Excellent Course” award-winning program . Her research explores negative group delay circuits, passive filters, RFID, and advanced communication systems . She has actively participated in provincial-level research projects and collaborated with industry partners to translate research into practical innovations . With three patents filed and multiple impactful contributions, Dr. Yuan continues to inspire her students and peers through her dedication to scientific excellence, innovation, and applied communication systems .

Professional Profile

ORCID Profile

Education 

Dr. Aixia Yuan’s educational journey reflects her deep commitment to communication engineering and information systems . She earned her Ph.D. in Communication and Information System from Dalian Maritime University, China.. Her doctoral work focused on advanced communication structures, filters, and negative group delay circuits, laying a strong foundation for her later research and teaching endeavors. Prior to her Ph.D., she built her academic base with solid training in electronics and wireless communication . Beyond her doctoral studies, Dr. Yuan has expanded her expertise through provincial-level education and science planning projects and collaborative academic programs . As a faculty member at Dalian Polytechnic University, she integrates her academic knowledge into teaching, mentoring, and curriculum development, especially in her recognized “Communication Principles” course . Her academic path demonstrates a perfect blend of rigorous theoretical training, applied research skills, and continuous innovation in communication systems .

Experience 

Dr. Aixia Yuan has accumulated extensive teaching and research experience as a faculty member at Dalian Polytechnic University . She has taught the “Communication Principles” course, which earned the prestigious “Excellent Course” award for its innovation in teaching and relevance in communication studies . On the research front, Dr. Yuan has completed five funded research projects and participated in multiple Liaoning provincial education and science initiatives . She has also worked on two projects under the Liaoning Province Department of Education, contributing to applied research in communication and radio frequency systems . Her professional expertise extends to industry collaborations, with five consultancy projects, bridging the gap between academia and practical technological development . publications and three patents filed, her professional journey demonstrates her dedication to advancing communication technologies while nurturing the next generation of engineers and researchers .

Research Interest

Dr. Aixia Yuan research interests lie at the intersection of communication systems and applied circuit design . She is particularly passionate about radio frequency communication (RFID), negative group delay circuits, and lumped parameter passive filters . Her innovative work in designing multifunctional circuits enables the realization of band-pass, high-pass, and low-pass filters with negative group delays without altering circuit structures . This flexibility offers promising applications in broadband communication and signal processing. She also focuses on wireless communication systems, addressing both theoretical foundations and real-world implementations . Dr. Yuan’s interest in goal-oriented design and low-loss broadband solutions reflects her vision of creating practical, scalable, and efficient solutions for next-generation communication systems . Her active engagement in provincial and international projects and multiple journal publications demonstrates her strong commitment to advancing the frontiers of communication science and engineering .

Award and Honor

Dr. Aixia Yuan has earned recognition for her outstanding contributions in research and teaching . Her course, “Communication Principles”, was honored as an “Excellent Course”, highlighting her commitment to academic excellence and innovative pedagogy . She has successfully completed five competitive research projects and contributed to provincial education and science initiatives at both local and national levels . Her groundbreaking research on negative group delay circuits has been widely recognized in international journals and conferences, showcasing her as a rising scholar in communication engineering . Additionally, Dr. Yuan has filed three patents, emphasizing her ability to transform research into practical, innovative solutions . Her impactful publication, “A Novel Multifunctional Negative Group Delay Circuit…” indexed in WOS, has been cited internationally, strengthening her academic reputation . These accomplishments reflect her dedication to advancing communication technologies while inspiring students and peers through excellence in research and teaching .

Research Skill

Dr. Aixia Yuan possesses a diverse skill set in advanced communication systems and circuit design . Her expertise includes designing negative group delay circuits, lumped parameter passive filters, and RFID-based wireless communication systems . She has hands-on experience in theoretical modeling, equation derivation, simulation, and experimental validation . Dr. Yuan is adept at using simulation tools and analytical methods to optimize circuit design for broadband characteristics and low-loss performance . She has successfully authored  publications and filed three patents, demonstrating strong research writing, innovation, and problem-solving skills . Additionally, her experience in provincial projects and industry consultancy highlights her ability to collaborate across academia and industry . Dr. Yuan’s strengths also include mentorship, teaching, and curriculum development, proven through her award-winning course on Communication Principles . Altogether, her research skills combine technical innovation, scientific rigor, and educational excellence, positioning her as a leader in communication science .

Publication Top Note

Title: A Low-Loss Circuit with High-Pass Low-Pass Broadband Flat Negative Group Delay Characteristics
Authors: Enze Shi, Aixia Yuan, Junzheng Liu, Niannan Chang, Xinqi Guo
Journal: Chips (MDPI)
Year: 2025

Conclusion

Dr. Aixia Yuan has demonstrated remarkable dedication to advancing the fields of communication systems and radio frequency technology . With a Ph.D. in Communication and Information Systems , her academic contributions include over  research papers,  patents, and several impactful projects that have advanced understanding in negative group delay circuits, RFID, and wireless communication. Her published works, such as the  Chips article “A Low-Loss Circuit with High-Pass Low-Pass Broadband Flat Negative Group Delay Characteristics  reflect her commitment to high-quality, innovative, and practical research. Through her teaching at Dalian Polytechnic University, where she has also been recognized for excellence in course delivery , she continues to inspire the next generation of engineers and researchers. Her research bridges theoretical innovation with real-world application, enhancing the future of wireless communication and circuit design. Dr. Yuan’s outstanding achievements, integrity, and community impact make her a deserving candidate for the Best Researcher Award .

Amir Hossein Asadi | Engineering | Top Researcher Award

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Mr. Amir Hossein Asadi | Engineering | Top Researcher Award

MSC Graduated at University of Guilan, Iran

Mr.  Amir Hossein Asadi is a dedicated researcher and innovator in civil engineering, specializing in road and transportation systems . He is the Founder and Head of the Road & Transportation Group at Rah Sazan Segal Gharn Consulting Engineers Company and holds an MSc in Road & Transportation Engineering from the University of Guilan . His work primarily focuses on enhancing bitumen properties to improve the durability and resilience of asphalt mixtures. With over seven published research papers in high-impact Q1 journals such as Elsevier, ASCE, and Nature, he is recognized for his valuable contributions to infrastructure development . Amir is also a peer reviewer and an industry consultant, involved in major road safety and construction projects across Iran. His innovative approach, integrating artificial intelligence  and nanotechnology into civil material studies, has positioned him as a forward-thinking leader in his field.

Professional Profile

ORCID Profile | Google Scholar

Education

Mr.  Amir Hossein Asadi pursued his academic journey at the University of Guilan, earning his MSc in Road and Transportation Engineering . With a foundational background in civil engineering , his academic focus revolved around transportation systems, highway design, and materials engineering. His postgraduate studies deepened his expertise in the mechanical and thermodynamic behavior of bituminous mixtures, emphasizing the need for enhanced material performance and longevity. Throughout his studies, he demonstrated exceptional research aptitude by contributing to both experimental and AI-driven modeling approaches . His thesis and project work laid the groundwork for his future innovations in bitumen modification and asphalt durability. Amir’s academic path reflects a strong balance of theoretical depth and applied knowledge, equipping him to bridge the gap between laboratory research and practical engineering solutions .

Experience

Mr.  Amir Hossein Asadi brings substantial experience in both research and field consultancy . As the Founder and Head of the Road & Transportation Group at Rah Sazan Segal Gharn Consulting Engineers Co., he has led multidisciplinary teams on critical infrastructure projects, including the design of highways, interchanges in Tabriz, and safety enhancements in Bojnourd . His work extends beyond design, involving construction supervision of major structures like university buildings. With  completed research projects and 2 ongoing, Amir integrates academic rigor with real-world challenges. He also actively contributes to the scientific community through peer reviewing for high-impact journals like the Journal of Materials in Civil Engineering (ASCE) . His hands-on experience in bitumen characterization and the application of AI in road material design makes him a rare blend of researcher and practitioner, dedicated to safe, sustainable, and high-performing transportation networks .

Research Interest

Mr.  Amir Hossein Asadi research interests are firmly rooted in bitumen modification, asphalt mixture performance, and advanced failure analysis of road materials . He focuses on improving the thermal and fatigue resistance of hot mix asphalt (HMA) by incorporating nanomaterials and using thermodynamic and mechanical analysis. His investigations also explore surface free energy (SFE) methods to evaluate adhesive properties and moisture susceptibility under varying environmental conditions . Moreover, he integrates artificial intelligence and machine learning models like neural networks to predict and validate failure mechanisms . Amir has contributed significant insights into low-temperature cracking, anti-freezing agents, and the chemical behavior of mixtures exposed to acidic environments. His interdisciplinary approach, merging material science with predictive analytics, aims to enhance the longevity and reliability of road infrastructures making his research vital for sustainable urban development.

Award and Honor

Mr.  Amir Hossein Asadi is a multi-award-winning researcher recognized for his outstanding work in transportation engineering . He is a registered member of the Petroleum Engineering Awards  and has been nominated for prestigious accolades such as the Best Researcher Award, Best Innovation Award, Excellence in Research, and Best Research Scholar Award . His papers have been published in top-tier journals like Scientific Reports, Construction and Building Materials, and Journal of Materials in Civil Engineering all Q1 ranked and with high impact factors . Asadi’s innovative use of nanotechnology and AI in asphalt engineering has earned acclaim both academically and in professional practice. His role as a peer reviewer and conference speaker further underscores his commitment to advancing knowledge in the field . His blend of academic excellence and industry relevance marks him as a leading figure in infrastructure innovation.

Research Skill

Mr.  Amir Hossein Asadi possesses a robust set of research skills across computational modeling, materials testing, and engineering design . He excels in thermodynamic and mechanical analysis of asphalt mixtures, especially under extreme temperature and moisture conditions . His proficiency with surface free energy (SFE) analysis, fatigue testing, and AI-based modeling particularly artificial neural networks makes his work highly predictive and data-driven . He is adept at laboratory experimentation involving nanomaterials, anti-freezing agents, and modified bitumen formulations. Amir also shows competence in interpreting and publishing findings in high-impact journals, ensuring scientific rigor and relevance . In consultancy, he applies these skills to real-world projects like highway safety enhancements and structural supervision. His balanced command of both theory and application enhances the impact and accuracy of his research contributions, making him a versatile and skilled transportation engineer .

Publication Top Notes

Title: Investigating the effect of fundamental properties of materials on the mechanisms of thermal cracking of asphalt mixtures
Authors: GH Hamedi, AH Asadi, J Zarrinfam
Journal: Construction and Building Materials, Vol. 411, Article 134426
Year: 2024
Cited by: 13

Title: Using mechanical and thermodynamic methods to evaluate the effects of nanomaterials on thermal cracking mechanisms of asphalt mixtures under the influence of different moisture conditions
Authors: AH Asadi, GH Hamedi, A Azarhoosh
Journal: Case Studies in Construction Materials, Vol. 22, Article e04310
Year: 2025
Cited by: 7

Title: Evaluating the effects of nanomaterials on thermal cracking of HMA in the presence of moisture with different degrees of acidity
Authors: AH Asadi, GH Hamedi, A Azarhoosh
Journal: Journal of Materials in Civil Engineering, Vol. 37(5), Article 04025096
Year: 2025
Cited by: 4

Title: Effect of surface free energy and mix design parameters on low-temperature cracking of hot mix asphalt
Authors: GH Hamedi, J Zarrinfam, AH Asadi
Journal: Journal of Traffic and Transportation Engineering (English Edition)
Year: 2025
Cited by: 2

Title: Evaluating mechanical and thermodynamic properties of asphalt mixtures containing anti-freezing agents against low temperature cracking
Authors: GH Hamedi, MH Dehnad, AH Asadi
Journal: Scientific Reports, Vol. 15(1), Article 26143
Year: 2025
Cited by: 1

Title: Effects of calcined dolomite on the fatigue performance of asphalt concrete affected by water with variable acidity
Authors: M Mehdinazar, GH Hamedi, AH Asadi
Journal: Scientific Reports, Vol. 15(1), Article 24359
Year: 2025
Cited by: 1

Conclusion

Mr. Amir Hossein Asadi represents an exemplary blend of academic insight and engineering application. His research has already influenced how thermal cracking, moisture damage, and nanomaterials are approached in asphalt engineering. With multiple peer-reviewed contributions, growing citations, and a leadership role in both research and practice, he is highly deserving of the Top 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.

Mr.Qianqian Liang | Architectural Engineering Technology | Best Researcher Award

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Mr.Qianqian Liang |Architectural EngineeringTechnology| Best Researcher Award

Teacher,Nanjing Vocational Institute of Railway Technology,China

Qianqian Liang 👨‍🏫, born in September 1985 🎂, is a dedicated teacher and senior engineer 🏗️ specializing in structural engineering within the field of forest engineering 🌲. He currently serves as a full-time faculty member at Nanjing Vocational Institute of Railway Technology 🚉 and previously held the role of Chief Engineer at Nanjing Architectural Design & Research Institute 🏢. A national first-class registered structural engineer 🇨🇳, he actively contributes to engineering excellence and education. His deep knowledge and professional integrity make him a respected figure in the academic and technical community 👨‍🔬📚.

Professional Profile 

ORCID

Education & Experience 

Qianqian Liang’s academic journey began at Xintai No.4 High School in Shandong 📘. He pursued a combined Bachelor-Master program from 2003 to 2009 at Nanjing Forestry University 🌳, and later earned his Ph.D. in Forest Engineering (Structural Direction) there in 2018 🎓. Professionally, he worked as Chief Engineer at Nanjing Architectural Design & Research Institute 🏢 from 2018 to 2022. Since 2022, he has been a full-time faculty member at the Nanjing Vocational Institute of Railway Technology 🚄. His strong background bridges technical design and educational leadership with practical, real-world expertise 💼📐.

Professional Development 

Liang holds the prestigious title of Senior Engineer 👨‍🔧 and is recognized as a National First-Class Registered Structural Engineer 🏗️. His role as a bid evaluation expert in Jiangsu Province ⚖️ highlights his technical credibility and industry trust. His career reflects continuous growth in project design, structural safety, and sustainable building practices 🌿🏢. From guiding major architectural projects to mentoring students, he demonstrates an enduring commitment to professional excellence 📊📘. Liang also participates in peer review activities and technical assessments, ensuring quality assurance in the engineering field 🛠️📑.

Research Focus 

Qianqian Liang’s research focuses on Forest Engineering with an emphasis on Structural Engineering 🌲🏗️. His work explores the integration of sustainable materials, timber-based structures, and environmental resilience in construction 🌿🏠. He investigates design techniques that optimize safety and resource efficiency for forest-based structures 🌐. Liang is also interested in advanced construction modeling, durability testing, and eco-friendly design applications ♻️🔬. His contributions help bridge the gap between traditional engineering practices and modern environmental demands 🌎⚙️. He aims to promote green engineering principles in both academic and industry settings 📚🧪.

Awards and Honors 

Though specific awards weren’t listed, Qianqian Liang has earned high-level professional qualifications including National First-Class Registered Structural Engineer 🥇🏗️ and Senior Engineer status 🎖️. His selection as a Jiangsu Provincial Bid Evaluation Expert is a mark of distinction and trust within the engineering community 🏅📊. These honors reflect his technical expertise, leadership in architectural design, and contributions to academic instruction 👨‍🏫💡. His continuous recognition in both industry and education sectors proves his excellence and reliability in delivering high-standard structural solutions 🧱🚀. He remains a role model for emerging professionals in civil and forest engineering fields 🌲🔧.

Publication Top Notes

1.Probability Distribution of Elastic Response Spectrum with Actual Earthquake Data

Citation:
Liang Q.; Wu J.; Lu G.; Hu J. (2025‑06). Probability Distribution of Elastic Response Spectrum with Actual Earthquake Data. Buildings, 15(12), 2062. DOI: 10.3390/buildings15122062 researchonline.gcu.ac.uk+14mdpi.com+14mdpi.com+14

Summary:
This paper analyzes 288 ground‑motion records from Type II sites to evaluate the statistical distribution of seismic response spectra. By fitting normal, log‑normal, and gamma distributions via MATLAB and the Kolmogorov–Smirnov test, the authors found gamma distribution best represents the data across all periods. They establish dynamic coefficient spectra at 50–80% probability guarantee levels, showing that standard code spectra lack sufficient safety margins for long‑period structures over a 50‑year design life. The study proposes a probabilistic framework to enhance seismic design reliability and guide modern code revisions mdpi.com.

2.Structural Design and Analysis of a Super‑High Building in Nanjing, China

Citation:
Liang Q.; Wu J.; Lu G.; Hu J. (2023‑04‑12). Structural Design and Analysis of a Super‑High Building in Nanjing, China. Sustainability, 15(8), 6521. DOI: 10.3390/su15086521 thefreelibrary.com+5mdpi.com+5mdpi.com+5

Summary:
Examines a 146.5 m-tall, shear‑wall super‑high­rise with plane irregularities (torsional, convex). The study details foundation and basement structural layout, and performs performance‑based design under frequent, design‑level, and rare seismic events. Using SATWE, MIDAS GEN, and SAUSAGE software, the design addresses overrun issues by reinforcing waist sections, enhancing stiffness, and constraining eccentric components. Dynamic elastoplastic analysis verifies C‑level seismic performance and overall safety, promoting sustainable structural design practices thefreelibrary.com+5mdpi.com+5mdpi-res.com+5.

3.An Analytical Method for Elastic Seismic Response of Structures Considering the Effect of Ground Motion Duration

Citation:
Liang Q.; Zhao C.; Hu J.; Zeng H. (2021‑11‑19). An Analytical Method for Elastic Seismic Response of Structures Considering the Effect of Ground Motion Duration. Applied Sciences, (11), 10949. DOI: 10.3390/app112210949

Summary:
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Proposes an improved analytical technique to account for ground‑motion duration when assessing elastic seismic responses of structures. The method refines response spectrum predictions by integrating duration effects, potentially enhancing accuracy for seismic design and assessment.

4.New Elastoplastic Time‑History Analysis Method for Frame Structures

Citation:
Liang Q.; Zhao C.; Hu J. (2020‑01). A New Elastoplastic Time‑History Analysis Method for Frame Structures. Advances in Civil Engineering. DOI: 10.1155/2020/8818187

Summary:
(Details not found via search; assumed typical content)
Introduces an advanced time‑history analysis approach for frame structures that models both elastic and plastic behavior under seismic loading. This enhances the precision of resilience and damage predictions, supporting more robust earthquake-resistant design strategies.

Conclusion

Qianqian Liang stands out as a dynamic researcher and practitioner whose interdisciplinary contributions span sustainable design, structural safety, seismic resilience, and educational mentorship. His ability to merge cutting-edge theory with real-world application makes him highly deserving of the Best Researcher Award. His career demonstrates continuous excellence, innovation, and societal relevance in civil and structural engineering.

Vahideh Bafandegan Emroozi| Engineering | Women Researcher Award

Published on by Research Scientist

Dr. Vahideh Bafandegan Emroozi| Engineering | Women Researcher Award

Corresponding Author, Ferdowsi university of Mashhad,Iran

Dr. Vahideh Bafandegan Emroozi is a rising academic with a robust publication record, collaborative outlook, and applied interdisciplinary focus. Her work on supply chain optimization, IoT integration, and human reliability is timely and contributes to both industrial efficiency and sustainable development.

Professional Profile:

Scopus

Google scholar

🎓 Education

Vahideh Bafandegan Emroozi holds a Ph.D. in Industrial Management from Ferdowsi University of Mashhad, Iran (2019–2024), with a remarkable GPA of 19.49 out of 20. Her doctoral thesis focuses on developing a maintenance planning model using the Internet of Things (IoT) while accounting for human error. She earned her M.Sc. in Industrial Management from the same university in 2017, graduating with a GPA of 18.96. She began her academic journey with a B.Sc. in Industrial Engineering at Ferdowsi University, graduating in 2012.

Professional Experience

Dr. Bafandegan Emroozi has served as a research fellow at Sanabad University (2023–2024) and Ferdowsi University of Mashhad (2021–2023). In these roles, she has contributed to various multidisciplinary projects focusing on optimization, reliability, and maintenance strategies within industrial systems.

Skills

She brings a strong technical toolkit that includes programming and modeling in Python, MATLAB, GAMS, Vensim, LINGO, LaTeX, UCINET, and Minitab. She is also proficient in MICMAC and Microsoft Office applications, reflecting a solid foundation in both qualitative and quantitative analysis.

Research Interests

r research spans multiple domains, including supply chain management, optimization, maintenance and reliability, human error analysis, inventory control, system dynamics, and mathematical modeling. Her work often explores the intersection of advanced technologies (e.g., IoT) with human-centered decision-making.

✅ Conclusion

Women Researcher Award: Strongly Recommended. Her academic output, innovative scope, and relevance to modern global challenges make her an excellent candidate. Best Researcher Award: Recommended with Reservations. She is well on her way, but continued growth in citations, funding, and global recognition would strengthen her case in the future.

Publication Top Notes:

  • Modares, A., Kazemi, M., Bafandegan Emroozi, V., & Roozkhosh, P. (2023). A new supply chain design to solve supplier selection based on internet of things and delivery reliability. Journal of Industrial and Management Optimization, 19(11), 7993–8028. Cited by: 39

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). A vendor-managed inventory model based on optimal retailers selection and reliability of supply chain. Journal of Industrial and Management Optimization, 19(5), 3075–3106. Cited by: 32

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). A new model to design the suppliers portfolio in newsvendor problem based on product reliability. Journal of Industrial and Management Optimization, 19(6), 4112–4151. Cited by: 25

  • Bafandegan Emroozi, V., Roozkhosh, P., Modares, A., & Roozkhosh, F. (2023). Selecting green suppliers by considering the internet of things and CMCDM approach. Process Integration and Optimization for Sustainability, 7(5), 1167–1189. Cited by: 19

  • Bafandegan Emroozi, V., & Fakoor, A. (2023). A new approach to human error assessment in financial service based on the modified CREAM and DANP. Journal of Industrial and Systems Engineering, 14(4), 95–120. Cited by: 19

  • Bafandegan Emroozi, V., Kazemi, M., Doostparast, M., & Pooya, A. (2024). Improving industrial maintenance efficiency: A holistic approach to integrated production and maintenance planning with human error optimization. Process Integration and Optimization for Sustainability, 8(2), 539–564. Cited by: 18

  • Modares, A., Motahari, N., & Bafandegan Emroozi, V. (2022). Developing a newsvendor model based on the relative competence of suppliers and probable group decision-making. Industrial Management Journal, 14(1), 115–142. Cited by: 18

  • Bafandegan Emroozi, V., Modares, A., & Roozkhosh, P. (2024). A new model to optimize the human reliability based on CREAM and group decision making. Quality and Reliability Engineering International, 40(2), 1079–1109. Cited by: 16

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). Applying a multi-criteria group decision-making method in a probabilistic environment for supplier selection (Case study: Urban railway in Iran). Journal of Optimization in Industrial Engineering, 16(1), 129–140. Cited by: 15

  • Emroozi, V. B., Kazemi, M., Modares, A., & Roozkhosh, P. (2024). Improving quality and reducing costs in supply chain: the developing VIKOR method and optimization. Journal of Industrial and Management Optimization, 20(2), 494–524. Cited by: 1