Sibel Cevik Bektas l Energy Management/Optimization | Research Excellence Award

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Dr. Sibel Cevik Bektas l Energy Management/Optimization | Research Excellence Award

Karadeniz Technical University | Turkey

Dr. Sibel Cevik Bektas is an electrical and electronics engineering researcher specializing in energy systems and renewable integration. Education includes undergraduate, postgraduate, and doctoral degrees in electrical engineering from Karadeniz Technical University. Professional experience centers on academic research, peer-reviewed publications, conference contributions, and leadership of a TUBITAK-funded project. Research interests cover optimal energy management, power systems, load forecasting, solar irradiance prediction, and data-driven optimization. Research skills include machine learning, deep learning, time-series forecasting, optimization, MATLAB modeling, and power system analysis. Awards and honors include competitive national research funding. Overall, Dr. Sibel Cevik Bektas contributes impactful, applied solutions advancing energy systems.

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Featured Publications

Scenario-Based Data-Driven Approaches for Short-Term Load Forecasting
Energy and Buildings, 2026

Shaokai Wang l Engineering Geology | Research Excellence Award

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Dr. Shaokai Wang l Engineering Geology | Research Excellence Award

North China University of Water Resources and Electric Power | China

Dr. Shaokai Wang is a geological engineering scholar with a Ph.D. in Geological Engineering and academic affiliation at North China University of Water Resources and Electric Power. With five years of teaching and research experience, Dr. Shaokai Wang has contributed to undergraduate and postgraduate instruction while advancing scientific research. His research interests focus on geological engineering, geotechnical engineering, loess geohazards, soil improvement technologies, and disaster mechanisms. He has led and participated in National Natural Science Foundation of China projects, published SCI-indexed journal articles, and developed strong research skills in field investigation, laboratory testing, numerical analysis, and academic writing. His work demonstrates sustained innovation and growing academic impact in geological engineering.

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Featured Publication

Static liquefaction capacity of saturated undisturbed loess in South Jingyang platform
– Water (Switzerland), 2020

Article · Open Access · Co-authored · Citations: 11

Amirhossein Karamoozian | Civil Engineering | Best Researcher Award

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Dr. Amirhossein Karamoozian | Civil Engineering | Best Researcher Award

Shenzhen University | China

Dr. Amirhossein Karamoozian is a researcher and lecturer at the International College, University of Chinese Academy of Sciences (UCAS), with a Ph.D. in Management Science and Engineering (Project Management). His research focuses on risk assessment, project management, sustainable construction, and decision-making methodologies, with applications in construction, renewable energy, and transportation projects. He has authored numerous high-impact SCI journal articles and holds multiple patents on construction project risk assessment and material selection. Dr. Karamoozian has received several awards, including best paper recognitions at IEEE symposiums and the UCAS Excellent International Graduate Student Award, reflecting his significant contributions to engineering management research.

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Featured Publications


Assessing urban outdoor thermal discomfort across scales and climates: Implications for sustainable urban management in Iran

– Sustainable Cities and Society, 2026-01Contributors: Aminreza Karamoozian; Abouzar Gholamalizadeh; Saman Nadizadeh Shorabeh; Amirhossein Karamoozian; Mohammad Karimi Firozjaei

COVID-19 automotive supply chain risks: A manufacturer-supplier development approach

– Journal of Industrial Information Integration, 2024-03Contributors: Aminreza Karamoozian; Chin An Tan; Desheng Wu; Amirhossein Karamoozian; Saied Pirasteh

An Integrated Approach for Instability Analysis of Lattice Brake System Using Contact Pressure Sensitivity

– IEEE Access, 2020Contributors: Aminreza Karamoozian; Haobin Jiang; Chin An Tan; Liangmo Wang; Yuanlong Wang

Probability Based Survey of Braking System: A Pareto-Optimal Approach

– IEEE Access, 2020Contributors: Aminreza Karamoozian; Haobin Jiang; Chin An Tan

Weitao Yue | Engineering | Research Excellence Award

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Mr. Weitao Yue | Engineering | Research Excellence Award

China University of Mining and Technology | China

Mr. Weitao Yue is a Ph.D. candidate at the China University of Mining and Technology, specializing in Safety Science and Engineering with a focus on coal and rock dynamic disaster prevention and control. His research is dedicated to addressing critical challenges in coal mine safety, emphasizing the investigation of underlying mechanisms, monitoring and early warning systems, and the development of innovative control technologies for coal and rock dynamic disasters. He has actively contributed to multiple national-level major research projects, including the National Natural Science Foundation of China (NSFC) projects, National Key Research and Development Program projects, and National Major Scientific Instrument Development projects, where he played pivotal roles in theoretical innovation, experimental research, and data analysis. Mr. Yue has published seven high-impact SCI papers as first or corresponding author in top-tier journals such as International Journal of Mining Science and Technology, Engineering Geology, Rock Mechanics and Rock Engineering, Measurement, Journal of Central South University, and Physics of Fluids. Notably, two of his papers have been recognized as ESI Highly Cited, ranking among the top 1% most cited globally, reflecting his significant academic influence. His research provides theoretical foundations and technical solutions to enhance coal mine safety, contributing substantially to the advancement of mining engineering and disaster prevention technologies.

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Featured Publications

Feng, X., Yue, W., Cao, Z., Zhou, S., Cao, X., & Wang, E. (2026). “Multi-scale DEM simulation and experimental validation of water-saturated coal failure under variable-angle shear loading: Revealing hydrochemical coupling damage mechanisms.” Measurement. https://doi.org/10.1016/j.measurement.2025.119812

Feng, X., Yue, W., Zhao, X., Wang, D., Liu, Q., & Ding, Z. (2025). “Evolution law and risk analysis of fault-slip burst in coal mine based on microseismic monitoring.” Environmental Earth Sciences. https://doi.org/10.1007/s12665-024-12080-5

Min Zhang | Medical Imaging Analytics in Radiation Oncology | Best Innovation Award

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Prof. Min Zhang | Medical Imaging Analytics in Radiation Oncology | Best Innovation Award

Peking University People’s Hospital | China

Dr. Min Zhang is an accomplished radiation oncologist and academic leader with comprehensive medical training, including integrated bachelor’s–master’s studies and a Ph.D. in Oncology from Peking University Health Science Center. With extensive experience in thoracic, breast, and bone tumor radiotherapy, she has developed strong expertise in precision treatment planning and AI-assisted dose calculation. As an Associate Chief Physician and Associate Professor at Peking University People’s Hospital, she leads multiple provincial-level research projects focused on synthetic CT–based dose computation and GPU-accelerated Monte Carlo algorithms. Her scholarly contributions include first-author and corresponding-author publications in high-impact SCI journals, book translation work for a major neurosurgery textbook, and several granted patents in radiotherapy devices and positioning systems. She also participates in industry-funded research and actively collaborates with multidisciplinary teams across oncology specialties. Her professional memberships in regional radiation oncology and neuro-oncology committees reflect her engagement in advancing clinical standards and scientific exchange. Recognized for her commitment to innovation and improved patient outcomes, Dr. Zhang continues to contribute significantly to the evolution of evidence-based radiotherapy. Her sustained efforts in research, technological optimization, and clinical practice underscore her dedication to improving cancer treatment efficacy and shaping the future of radiation oncology.

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Featured Publications

Zhang, M., Gao, X., Gao, T., Li, H., Sheng, X., Su, M., & Jia, C. (2025). “A retrospective study on Mohs micrographic surgery combined with adjuvant radiotherapy in the treatment of extramammary Paget’s disease: analysis of 87 patients.” Postgraduate Medical Journal.

Zhang, M. “Accuracy study of deep learning-based synthetic CT images for adaptive radiotherapy of pelvic tumors.” Current Radiopharmaceuticals.

Zhang, M. “Co-translator of the radiotherapy-related sections.” In Oxford Textbook of Neurological Surgery (ISBN: 978-7-5659-3071-3).