Wanke cao | Electric Vehicles | Best Paper Award

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Prof. Wanke Cao | Electric Vehicles | Best Paper Award

Director of the Department of In-Vehicle Network Technologies |  Shenzhen Automotive Research Institute (SZART) | China

Prof. Wanke Cao is an established academic and researcher in electric vehicle engineering, with a strong profile spanning summary, professional experience, research interests, research skills, awards and honors, and overall contributions to the field. His professional experience includes long-term academic leadership and research roles in electric vehicle systems, in-vehicle networks, and intelligent automotive technologies, with international research exposure and institutional responsibilities. His research interests focus on networked control of electric vehicles, vehicle dynamics and control, and in-vehicle network technologies. His research skills include modeling and control of vehicle systems, intelligent transportation technologies, embedded and networked automotive systems, and applied engineering research. He has received recognition for sustained research output, academic service, and technical contributions. Overall, his work demonstrates consistent impact on electric vehicle technology development and scholarly advancement. He has acheived 1195 Citations, 69 Documents,16 h-index.

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1,195
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69
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Mahmoud Zadehbagheri | Powertrain Engineering | Research Excellence Award

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Assoc. Prof. Dr. Mahmoud Zadehbagheri | Powertrain Engineering | Research Excellence Award

Member of Electrical Faculty | Islamic Azad University of Iran |  Iran

Assoc. Prof. Dr. Mahmoud Zadehbagheri is a distinguished researcher and academic professional with extensive contributions to electrical engineering, particularly in power electronics and modern power systems. His professional experience encompasses advanced research leadership, academic supervision, and international collaboration, with active involvement in high-impact journals and conferences. His research interests focus on renewable energy integration, distributed generation, microgrids, power quality enhancement, FACTS devices, optimization techniques, and smart energy systems. He demonstrates strong research skills in system modeling, optimization algorithms, power system analysis, simulation, and applied engineering solutions. His scholarly output and service have earned multiple academic recognitions and honors for research excellence and leadership. Overall, his work significantly advances sustainable energy technologies and intelligent power system development at both theoretical and applied levels.He has acheived 705 Citations, 58 Documents,16 h-index.

 

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705
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58
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16
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Qayyum Shah | Thermal Management Systems | Best Faculty Award

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Dr. Qayyum Shah | Thermal Management Systems | Best Faculty Award

Lecturer | U.E.T (University of Engineering & Technology) Peshawar | Pakistan

Dr. Qayyum Shah is a distinguished academic and researcher with extensive experience in applied mathematics, fluid mechanics, and interdisciplinary engineering applications. His professional career reflects long-standing engagement in university-level teaching, curriculum development, research supervision, and international collaboration, with recognized excellence in student-centered pedagogy and outcome-based education systems. His research interests span non-Newtonian fluid dynamics, heat and mass transfer, nanofluids, magnetohydrodynamics, entropy generation, oscillatory flows, and advanced mathematical modeling using analytical and numerical techniques. He possesses strong research skills in scientific computing, numerical analysis, MATLAB, Mathematica, LaTeX, and scholarly publishing in high-impact journals. His awards and honors include multiple Best Teacher and Best Research Paper awards, international research grants, and professional recognition through chartered and institutional memberships. Overall, his contributions demonstrate sustained academic leadership, impactful research productivity, and commitment to advancing applied mathematical sciences. He has acheived 471 Citations, 30 Documents,12 h-index.

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471
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12
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Eshetu Haile Gorfie | Hybrid Vehicles | Research Excellence Award

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Dr. Eshetu Haile Gorfie | Hybrid Vehicles | Research Excellence Award

Researcher | Bahir Dar University | Ethiopia

Dr. Eshetu Haile Gorfie is an accomplished academic and researcher with extensive experience in teaching, research, and academic leadership within the field of mathematics. His professional experience spans undergraduate and postgraduate instruction, supervision of MSc and PhD researchers, curriculum coordination, and leadership roles such as department head and program coordinator. His research interests focus on fluid dynamics, magnetohydrodynamics, nanofluid flow, differential equations, numerical methods, and heat and mass transfer phenomena. He possesses strong research skills in mathematical modeling, analytical and numerical analysis, scientific computing, and scholarly publishing, with contributions to high-impact international journals. His awards and honors recognize excellence in teaching, conference leadership, and academic service. Overall, his work demonstrates sustained impact through research productivity, mentorship, and institutional contribution.He has acheived  357 Citations, 19 Documents, 9 h-index.

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357
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19
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9
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Seungchul Ryu | Automotive Artificial Intelligence | Research Excellence Award

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Dr. Seungchul Ryu | Automotive Artificial Intelligence | Research Excellence Award

Senior  Researcher | Forvia  | Canada

Dr. Seungchul Ryu is a senior researcher with extensive expertise in automotive-focused computer vision, image processing, and machine learning, delivering impactful innovations that bridge academic research and industrial deployment. His professional experience spans leading roles across academia and global mobility technology companies, contributing to intelligent cockpit systems, advanced driver-assistance solutions, and robust perception under extreme conditions. His research interests center on vision-aware safety systems, human–machine interaction, and applied AI for real-world automotive environments. He demonstrates strong research skills in algorithm development, system integration, patent generation, and large-scale project leadership. His work has earned industry recognition, innovation awards, and editorial and technical committee roles, reflecting sustained scientific influence and leadership. Overall, his contributions continue to shape next-generation intelligent mobility through high-impact research and innovation. He has achieved 344 Citations 33 Documents 7h-index.

 

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344
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Featured Publications


No-Reference Quality Assessment for Stereoscopic Images Based on Binocular Quality Perception

– IEEE Transactions on Circuits and Systems for Video Technology, 2013

DASC: Dense Adaptive Self-Correlation Descriptor for Multi-Modal and Multi-Spectral Correspondence

– IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015


Stereoscopic Image Quality Metric Based on Binocular Perception Model

– IEEE International Conference on Image Processing (ICIP), 2012

Depth Perception and Motion Cue Based 3D Video Quality Assessment

– IEEE International Symposium on Broadband Multimedia Systems, 2012

Yipeng Sun | Battery Technology | Research Excellence Award

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Assoc. Prof. Dr. Yipeng Sun | Battery Technology | Research Excellence Award

Associate Professor | Eastern Institute of Technology, Ningbo | China

Assoc. Prof. Dr.Yipeng Sun is a highly cited researcher specializing in advanced energy storage materials, with a strong focus on interfacial engineering for next-generation lithium-ion and solid-state batteries. Professional experience spans academic research leadership and postdoctoral innovation, contributing to high-impact studies on atomic and molecular layer deposition, electrode–electrolyte interfaces, and degradation mechanisms in high-energy-density battery systems. Research interests include durable cathode and anode materials, halide and sulfide electrolytes, synchrotron-based characterization, and scalable surface modification strategies for safe, long-life batteries. Research skills encompass atomic-scale fabrication, electrochemical analysis, in situ diagnostics, and materials design. Awards and honors reflect recognition at national and international levels for research excellence and innovation. Overall, the work demonstrates sustained contributions to battery science and practical energy solutions. He has achieved 3847 Citations 45 Documents 34h-index.

 

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Zhen Guo | Automotive Robotics | Research Excellence Award

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Dr. Zhen Guo | Automotive Robotics | Research Excellence Award

Doctoral student |  Wuhan University of Technology |  China

Dr. Zhen Guo is an emerging researcher in intelligent fault diagnosis and industrial artificial intelligence, with work spanning advanced data-driven methods for complex mechanical and robotic systems. The academic profile reflects strong training in engineering research with a focus on applying deep learning and statistical learning to real-world reliability challenges. Professional experience includes active service as a peer reviewer for leading international journals and conferences in engineering informatics, artificial intelligence, measurement science, and mechanical systems, demonstrating recognition within the scholarly community. Research interests center on deep learning–based fault diagnosis, rotating machinery health monitoring, robotics, anomaly detection, imbalance learning, few-shot and incremental learning, and transfer learning, particularly for wind turbines, gearboxes, and autonomous systems. Research skills encompass convolutional and attention-based neural networks, adversarial learning, feature extraction, time-series analysis, imbalance data handling, and intelligent condition monitoring frameworks. Contributions are evidenced by publications in high-impact journals such as Renewable Energy, IEEE Transactions on Instrumentation and Measurement, Expert Systems with Applications, Measurement, Ocean Engineering, and Scientific Reports, addressing both theoretical modeling and practical deployment. Awards and honors are reflected through consistent publication in top-tier venues and trusted reviewer roles. Overall, the work demonstrates a coherent trajectory toward robust, scalable, and intelligent diagnostic solutions for next-generation industrial and transportation systems. He has achieved 152 Citations 11 Documents 7h-index.

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152
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Zhiguo Tang | Battery Technology | Research Excellence Award

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Prof. Zhiguo Tang | Battery Technology | Research Excellence Award

Professor | Hefei University of Technology | China

Prof. Zhiguo Tang is a distinguished academic and researcher recognized for sustained contributions to advanced energy and automotive-related systems, particularly in battery thermal management and thermal–fluid sciences. His professional experience reflects long-term engagement in high-impact research, leadership in funded projects, and active involvement in translating theoretical insights into practical engineering solutions. His research interests center on battery thermal management systems, heat transfer enhancement, energy conversion, and thermal safety, addressing critical challenges in modern electric and hybrid vehicles. He has demonstrated strong research skills in experimental design, numerical modeling, system optimization, and multidisciplinary integration across thermal engineering and energy systems. His scholarly output includes a substantial body of SCI/EI-indexed journal publications and a strong portfolio of invention patents, many of which have been authorized, highlighting both academic depth and innovation capacity. He has also contributed to national-level research initiatives and collaborative projects that advance clean energy and sustainable automotive technologies. Through consistent research productivity, patent generation, and applied innovation, he has earned recognition for research excellence and technological impact. Overall, his work reflects a balanced combination of scientific rigor, engineering relevance, and innovation-driven outcomes, positioning him as a leading contributor to energy and automotive thermal management research.He has achieved 804 Citations 72 Documents 15 h-index.

 

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804
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Mehdi Modabberifar | Automobile Engineering | Research Excellence Award

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Assoc. Prof. Dr. Mehdi Modabberifar | Automobile Engineering | Research Excellence Award

Associate Professor | Arak University | Iran

Assoc. Prof. Dr. Mehdi Modabberifar is an accomplished researcher with sustained contributions to mechatronic systems, advanced manufacturing, and electrostatic-based actuation technologies, demonstrating a strong balance between theoretical modeling and experimental validation. His professional experience includes active involvement in academic research environments, collaborative projects, and applied engineering studies addressing challenges in precision actuation, robotic manipulation, and smart material systems. His research interests focus on manufacturing processes, mechatronic system design, electrostatic actuators and motors, sensors, gecko-inspired adhesives, robotic grippers, and micro- and nano-scale manipulation, with applications spanning robotics, automation, and intelligent mechanical systems. His research skills encompass system modeling and simulation, actuator and sensor design, experimental mechanics, electrostatic induction mechanisms, robotic end-effector development, data analysis, and performance optimization under varying operational conditions. He has authored a diverse body of peer-reviewed journal and conference publications in reputable international outlets, with several widely cited works on gecko-inspired robotic grippers, electrostatic motors, dielectric sheet conveying, and smart actuator behavior, reflecting both originality and impact. His scholarly output demonstrates interdisciplinary reach across robotics, materials, and manufacturing engineering. Awards and honors include recognition through citation impact and research visibility within his fields of expertise. Overall, his work reflects a consistent trajectory of innovation, methodological rigor, and meaningful contribution to modern mechatronics and intelligent manufacturing research. He has achieved 202 Citations 23 Documents 7 h-index.

 

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202
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Hui Dong | Autonomous Vehicles | Research Excellence Award

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Prof. Hui Dong | Autonomous Vehicles | Research Excellence Award

Professor | Harbin Institute of Technology | China

Prof. Hui Dong is an established researcher and academic leader with a strong record in advanced mechatronic and robotic systems, demonstrating sustained contributions across theory, engineering practice, and interdisciplinary innovation. Her professional experience includes leading and participating in more than 24 nationally and provincially funded research projects, serving as principal investigator for competitive youth and general programs, and contributing to key special projects aligned with aerospace and advanced manufacturing initiatives. Her research interests span mechanism science, intelligent manned and unmanned systems, wearable mechatronic systems, medical robotics, and human–machine hybrid intelligence, with particular emphasis on flexible manipulators, robotic navigation and control, legged and wheel-legged robots, surgical robotics, and data-driven intelligent interaction. Her research skills encompass robotic system design, kinematics and trajectory planning, control and navigation algorithms, neural networks, cross-domain situational awareness, and integration of large models into human–machine systems. She has authored numerous high-quality journal publications, including papers in top-tier international journals, with multiple first or corresponding authorships, highly cited work, and cover articles, alongside a strong patent portfolio with both domestic and international invention patents. Her awards and honors include institutional scholar recognition and competitive excellence titles reflecting research impact and leadership. Overall, her work demonstrates a consistent trajectory of high-impact scholarship, innovation, and contribution to cutting-edge robotic and intelligent systems research. She has achieved 34 Citations  3 Documents 2 h-index.

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