Yaser Damchi | Smart Grids and Microgrids | Excellence in Research Award

Published on by Electrical Engineering

Dr. Yaser Damchi | Smart Grids and Microgrids | Excellence in Research Award

Associate Professor | Shahrood University of Technology | Iran

Yaser Damchi is an Associate Professor in the Faculty of Electrical Engineering at Shahrood University of Technology, specializing in electrical power engineering with a strong focus on power system protection and reliability. He earned his doctoral, master’s, and bachelor’s degrees in electrical power engineering with advanced specialization in protection systems, relay coordination, and transient analysis. His professional experience includes academic leadership as Head of the Power Department, establishment of a protection and relays digital laboratory, and management and participation in numerous industry-linked power system projects addressing protection design, reliability assessment, and renewable energy integration.  The candidate’s scholarly impact is evidenced by 672 citations, an h-index of 14, and an i10-index of 24.

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View  Google Scholar View  ORCID Profile

Featured Publications

MILP approach for optimal coordination of directional overcurrent relays in interconnected power systems
Y. Damchi, M. Dolatabadi, H.R. Mashhadi, J. Sadeh – Electric Power Systems Research

Optimal coordination of directional overcurrent relays in a microgrid system using a hybrid particle swarm optimization
Y. Damchi, H.R. Mashhadi, J. Sadeh, M. Bashir – International Conference on Advanced Power System Automation

Optimal coordination of distance and overcurrent relays considering a non-standard tripping characteristic for distance relays
Y. Damchi, J. Sadeh, H.R. Mashhadi – IET Generation, Transmission & Distribution

Reliability-centred maintenance for circuit breakers in transmission networks
M. Abbasghorbani, H.R. Mashhadi, Y. Damchi – IET Generation, Transmission & Distribution

Yuhui Zhou | Wireless Communication | Research Excellence Award

Published on by Electrical Engineering

Ms. Yuhui Zhou | Wireless Communication | Research Excellence Award

Student | Henan Polytechnic University | China

Zhou Yuhui is a postgraduate researcher in Electronic Information at Henan Polytechnic University, specializing in wireless communications and integrated sensing and communication systems. He holds a bachelor’s degree in Communication Engineering and is pursuing a master’s degree with advanced training in wireless communication theory, signal detection and estimation, and space–time coding, consistently ranking among the top students academically. His professional experience includes active participation in a provincial-level research project focused on key technologies for autonomous-driving-oriented integrated sensing and communication. His achievements are complemented by multiple academic and technical competition awards, institutional honors recognizing academic excellence, editorial and scholarly engagement through indexed publications, and professional certifications in language proficiency and technical tools, underscoring his well-rounded academic profile and commitment to research excellence. 3 Citations, 5 Documents, 1 h-index

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Featured Publications

Secure backscatter NOMA systems with dual-antenna relay: Reliability, security, and efficiency analysis
Liyao Ma, Yuhui Zhou, Gaojian Huang, Mengyan Huang – Physical Communication

Time-modulated planar arrays enabled directional modulation symbol synthesis
Hui Chen, Yuhui Zhou, Shufen Chen, Xingwang Li – Physical Communication

Outage Probability Analysis of the Symbiotic Backscatter-NOMA Systems
Yuhui Zhou, Gaojian Huang, Xingwang Li – Conference Paper

Zhengying Cai | Electric Vehicles | Best Researcher Award

Published on by Electrical Engineering

Prof. Zhengying Cai | Electric Vehicles | Best Researcher Award

Prof | China Three Gorges University  | China

Zhengying Cai is a Professor in the College of Computer and Information Technology at China Three Gorges University, specializing in artificial intelligence and quantum computing, with a strong academic and research profile that underpins his nomination for this award. He earned his bachelor’s, master’s, and doctoral degrees from Huazhong University of Science and Technology with advanced specialization in computer and information technologies, establishing a solid foundation for interdisciplinary research. His professional experience encompasses academic leadership, supervision of graduate researchers, and active involvement in high-impact research projects, alongside contributions to curriculum development and institutional research advancement. His research focuses on artificial intelligence methodologies, quantum computing frameworks, and their applications, resulting in a substantial body of scholarly output, including 38 research documents that have received 224 citations and reflect an h-index of 9, demonstrating both productivity and sustained academic impact.

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View Scopus Profile View ORCID Profile

Featured Publications

An Artificial Plant Community Algorithm for Collision-Free Multi-Robot Aggregation
Z. Cai, Q. Yu, Z. Lu, Z. Liu, G. Gong – Applied Sciences (Switzerland)

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
S. Eggen, T.J. Espe, K. Grude, M. Risstad, R. Sandberg – Journal of Economic Surveys

Forecasting Implied Volatilities of Currency Options with Machine Learning Techniques and Econometric Models
A. Olsen, G. Djupskås, P.E. de Lange, M. Risstad – International Journal of Data Science and Analytics

Zhang-Peng Tian | Data-Driven Decision Analysis | Best Researcher Award

Published on by Electrical Engineering

Zhang-Peng Tian | Data-Driven Decision Analysis | Best Researcher Award

Associate professor | China University of Mining and Technology | China

Zhang-peng Tian, Ph.D., is an Associate Professor and Head of the Master’s Program in Management Science and Engineering at the School of Economics and Management, China University of Mining and Technology. He earned his Ph.D. and M.E. in Management Science and Engineering from Central South University and a B.E. in Electronic Commerce from Tianjin Chengjian University. Dr. Tian has extensive experience in teaching undergraduate and postgraduate courses, leading national research projects, and contributing as a principal investigator on multiple grants focused on decision-making theory, social network analysis, and data-driven consensus models. His research specializes in data-driven decision analysis, preference learning, and multi-criteria group decision-making, with over 40 publications in top international and Chinese journals, including IEEE Transactions on Fuzzy Systems, Information Fusion, and Applied Soft Computing. He is a council member of national academic associations, serves as a reviewer for leading journals such as Tourism Management, Decision Support Systems, and IEEE Transactions, and regularly participates in prestigious conferences. Dr. Tian has received numerous honors, including recognition for his excellent doctoral dissertation, national and provincial scholarships, and selection into Jiangsu Province’s Double Innovation Doctor program. His academic contributions reflect a commitment to advancing decision science and fostering innovation in information management and engineering applications, making him a distinguished candidate for the Best Researcher Award.

Profile: ORCID

Featured Publications

Tian Zhang-peng*, Xu Fu-xin, Ma Wei-min, Analysis of coalition stability based on graph model under power asymmetry. Syst. Eng. Theory Pract., 2024, 44(7), 2309-2324.

Tian Zhang-peng, Xu Fu-xin, Nie Ru-xin*, Wang Xiao-kang, Wang Jian-qiang, An adaptive consensus model for multi-criteria sorting under linguistic distribution group decision making considering decision-makers' attitudes. Inf. Fusion, 2024, 108, 102406.

Yang Yu, Tian Zhang-peng, Lin Jun*, Strategic outsourcing in reverse logistics: Neutrosophic integrated approach with a hierarchical and interactive quality function deployment. Appl. Soft Comput., 2024, 152, 111256.

Ma Wei-min, Gong Kai-xin*, Tian Zhang-peng, Heterogeneous large-scale group decision making with subgroup leaders: An application to the green supplier selection. J. Oper. Res. Soc., 2023, 74(6): 1570-1586.

Tian Zhang-peng, Liang He-ming, Nie Ru-xin*, Wang Xiao-kang, Wang Jian-qiang, Data-driven multi-criteria decision support method for electric vehicle selection. Comput. Ind. Eng., 2023, 177: 109061.

Tian Zhang-peng, Xu Fu-xin, Nie Ru-xin*, Wang Xiao-kang, Wang Jian-qiang, Linguistic single-valued neutrosophic multi-criteria group decision making based on personalized individual semantics and consensus. Informatica, 2023, 34(2): 387-413.

Tian Zhang-peng, Liang He-ming, Nie Ru-xin*, Wang Jian-qiang, An integrated multi-granular distributed linguistic decision support framework for low-carbon tourism attraction evaluation. Curr. Issues Tourism, 2023, 26(6): 977-1002.

Nie Ru-xin, Chin Kwai Sang, Tian Zhang-peng*, Wang Jian-qiang, Zhang Hong-yu, Exploring dynamic effects on classifying service quality attributes under the impacts of COVID-19 with evidence from online reviews. Int. J. Contemp. Hosp. Manage., 2023, 35(1): 159-185.

Wang Xiao-kang, Hou Wen-hui, Zhang Hong-yu, Wang Jian-qiang, Goh Mark, Tian Zhang-peng, Shen Kai-wen, KDE-OCSVM model using Kullback-Leibler divergence to detect anomalies in medical claims. Expert Syst. Appl., 2022, 200: 117056.