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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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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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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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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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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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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Sudip Dey | Automobile Engineering | Young Researcher Award |

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Mr. Sudip Dey | Automobile Engineering | Young Researcher Award |

The University of Burdwan | India

Mr. Sudip Dey is a researcher specializing in fluid mechanics with experience in nanofluid flow, heat and mass transfer, porous media studies, and advanced slip-condition modeling. His work reflects strong analytical, numerical, and computational skills, alongside notable fellowship achievements and journal publications contributing to applied mathematics. He has acheived 64 Citations 12 Documents  5 h-index.

 

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Swati Mukhopadhyay | Automobile Engineering | Research Excellence Award

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Prof. Swati Mukhopadhyay | Automobile Engineering| Research Excellence Award

The University of Burdwan  |  India

Prof. Swati Mukhopadhyay is a leading mathematics researcher known for influential work in fluid mechanics, nanofluid dynamics, and heat-mass transfer, supported by strong analytical, computational, and modeling skills. Her extensive publications, global collaborations, and numerous international recognitions highlight her impact on advanced transport phenomena research. She has achieved 5,847 Citations ,169 Documents,  h-index 45.

 

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Insight into the Forced Convective Radiative Stefan Flow of Nanofluid over an Unsteady Stretched Sheet

– International Journal of Computational Materials Science and Engineering, 2026


Insight into the Forced Convective Radiative Stefan Flow of Nanofluid over an Unsteady Stretched Sheet

– International Journal of Computational Materials Science and Engineering, 2026

Ziyoda Mukhamedova | Hybrid Vehicles | Excellence in Research Award

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Prof. Dr. Ziyoda Mukhamedova | Hybrid Vehicles | Excellence in Research Award

Tashkent State transport University  |  Uzbekistan

Ziyoda Mukhamedova is a dedicated transport logistics and rail-system researcher known for contributions to freight transport optimization, cargo-system modelling, equipment reliability, and innovative logistics technologies. Her experience spans academic research, project leadership, technical modelling, and analytical studies, supported by strong skills in communication, data analysis, and engineering research. She has earned competitive national awards and contributed to impactful scientific and technical projects. She has achieved 99 Citations, 24 Documents, 7 h-index.

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Modelling of Fluctuations in the Main Bearing Frame of Railcar

– International Journal of Modern Manufacturing Technologies, 2016 (51 citations)