Mr. Fawad Khan | Real-Time Robotic Control | Research Excellence Award

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Mr. Fawad Khan | Real-Time Robotic Control | Research Excellence Award

Shenzhen Institutes of Advanced Technology | China

Mr. Fawad Khan is a PhD researcher in Robotics and Artificial Intelligence at the Shenzhen Institutes of Advanced Technology, CAS, focusing on safe and constrained reinforcement learning for human–robot collaboration. His work develops safety-aware RL frameworks that enable robots to operate alongside humans while balancing task performance and safety guarantees. He has contributed benchmark environments and adaptive safety mechanisms for robotic manipulation in shared workspaces. His research targets real-world deployment in collaborative manufacturing, warehouse automation, Real-Time Robotic Control and assistive robotics, bridging theory with practical safety-critical applications.

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Featured Publications


Safe Reinforcement Learning for Vision-Based Robotic Manipulation in Human-Centered Environments


– International Journal of Intelligent Robotics and Applications, 2025


Safe Reinforcement Learning for Objects Manipulation in Safety-Critical Coordinated Tasks


– 2025 ISARC Proceedings, 42nd International Symposium on Automation and Robotics in Construction :contentReference[oaicite:0]{index=0}


Design and Analysis of the Mechanism for Flapping-Wing Air Vehicle


– 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO) :contentReference[oaicite:1]{index=1}


3D Reconstruction in Industrial Environments Based on an Improved Neural Radiation Field Method


– International Conference on Computer Network Security and Software, 2022 :contentReference[oaicite:2]{index=2}

Mr. Emmanuel Izuwa | Metrology | Research Excellence Award

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Mr. Emmanuel Izuwa | Metrology | Research Excellence Award

Cranfield University | United Kingdom

Mr. Emmanuel Onuchukwu Izuwa is a mechanical engineer and researcher in intelligent automation at Cranfield University, specializing in advanced manufacturing and precision metrology. His expertise includes digital twins, automated assembly and inspection systems, robotics, embedded systems, and aerospace manufacturing. He has led the development of aircraft metrology, automated guidance, and digital-twin–driven inspection systems that enhance accuracy and efficiency. His background also covers smart materials research, robotic product design, Metrology and hands-on prototyping using CAD, programming, and additive manufacturing.

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Mrs. Sanowber Khan |  Quantum Coherence | Research Excellence Award

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Mrs. Sanowber Khan |  Quantum Coherence | Research Excellence Award

GHER | Réunion

Mrs. Sanowber Khan is a French general practitioner with broad experience in hospital and primary care settings. She completed her medical education at the University of Bordeaux and holds advanced training in general and hospital-based medicine. Her clinical work spans infectious diseases, internal medicine, emergency care, geriatrics, rehabilitation, gastroenterology, quantum coherence and neurology. She has served at the Dax Hospital Center and the Groupe Hospitalier Est Réunion, where she is currently involved in acute geriatric care, with a strong focus on comprehensive and patient-centered treatment.

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Assoc. Prof. Dr. Mingfeng Lu | Computer Vision | Research Excellence Award

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Assoc. Prof. Dr. Mingfeng Lu | Computer Vision | Research Excellence Award

Beijing Institute of Technology | China

Assoc. Prof. Dr. Mingfeng Lu is a Senior Laboratory Technician and Associate Professor at the School of Integrated Circuit and Electronics, Beijing Institute of Technology. He earned his BS and MS degrees in electronics engineering and circuits and systems from BIT, and a PhD in optical engineering. His research focuses on optical metrology, monocular visual measurement, and the application of modern signal processing and artificial intelligence techniques, including fractional Fourier transform, chirp Fourier transform, computer vision and deep learning. He has published extensively in SCI-indexed journals, holds multiple patents, and serves as a core member and co-principal investigator on national and municipal research projects.

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Dr. Seungwoo Jeong | Robotics SLAM | Research Excellence Award

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Dr. Seungwoo Jeong | Robotics SLAM | Research Excellence Award

Korea Railroad Research Institute | South Korea

Dr. Seungwoo Jeong is a Machine Learning and Control Engineering specialist with strong expertise in robotics, automation, and intelligent transportation systems. He has extensive research and industry experience, contributing to advanced logistics, factory automation, and robot R&D projects that improved efficiency, safety, Robotics SLAM and system reliability. He has published widely in leading mechanical engineering journals and has led projects reducing error rates and operational costs. He holds a PhD in Mechanical Engineering from Yonsei University, with prior graduate training from the University of California, Davis, and Ajou University.

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Featured Publications


The experiments of wearable robot for carrying heavy-weight objects of shipbuilding works


– IEEE International Conference on Automation Science and Engineering, 2014

Behavior tree driven multi-mobile robots via data distribution service (DDS)


– International Conference on Control, Automation and Systems (ICCAS), 2021

Behavior tree-based task planning for multiple mobile robots using a data distribution service


– IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

Attaching sub-links on linear actuators of wearable robots for payload increase


– IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2014

Dr. Hassen Nigatu | Robotics and Automation | Best Industrial Research Award

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Dr. Hassen Nigatu | Robotics and Automation | Best Industrial Research Award

Yuyao Robot Research Center | China

Dr. Hassen Nigatu is a distinguished robotics researcher and Young Thousand Talents award recipient, specializing in theoretical kinematics and high-precision parallel robots. His work integrates Lie algebra, screw theory, and dynamic modeling with emerging areas such as machine learning and quantum computing for advanced robotic optimization and control. He has over a decade of research experience at KIST and Zhejiang University, leading projects on parasitic-motion-free mechanisms, quantum optimization, VR haptic systems, Robotics and Automation. His research bridges rigorous theory with real-world applications, resulting in impactful publications and funded projects advancing next-generation robotics.

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Dr. Chao Sun | Artificial Intelligence | Research Excellence Award

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Dr. Chao Sun | Artificial Intelligence | Research Excellence Award

Anhui University | China

Dr. Chao Sun is a Lecturer at the School of Artificial Intelligence, Anhui University, China. He earned his PhD in Control Science and Engineering from Tongji University, following degrees in Mechanical Engineering from NUAA and the University of Jinan. His research focuses on visual SLAM, reinforcement learning, computer vision, Artificial Intelligence and robotics. He has received multiple academic honors and serves as an invited reviewer for leading IEEE journals. His work contributes to advanced intelligent systems and autonomous robotics research.

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Ms. Safia Bibi | AI Environment | Research Excellence Award

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Ms. Safia Bibi | AI Environment | Research Excellence Award

International Islamic University of Indonesia | Indonesia

Ms. Safia Bibi is an Economics lecturer at COMSATS University Islamabad with research interests in agricultural economics, environmental sustainability, and development policy. She has strong expertise in econometrics, quantitative analysis, and academic writing. Her work focuses on climate change, food security, AI Environment and evidence-based policy research. She has experience in funded research projects, teaching, and academic leadership at university level.

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Dr. Zhipeng Yu | Ocean Engineering | Research Excellence Award

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Dr. Zhipeng Yu | Ocean Engineering | Research Excellence Award

Zhejiang Ocean University | China

Dr. Zhipeng Yu is a PhD holder and Lecturer at Zhejiang Ocean University in Oil and Gas Storage and Transportation Engineering. His research interests include hydrogen-blended natural gas pipelines, integrated energy systems, and pipeline safety technologies. He has published several research articles, holds intellectual property, and presents regularly at international conferences. He has participated in national, provincial, Ocean Engineering and industry-funded research projects. His doctoral training was jointly completed at China University of Petroleum and the University of Alberta.

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Dr. Pradeep Paraman | Management | Research Excellence Award

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Dr. Pradeep Paraman | Management | Research Excellence Award

Segi University | Malaysia

Dr. Pradeep Paraman, P.hd, FCIM is a Harvard-trained academic leader and research strategist serving as Senior Lecturer and research lead at Segi University. A Fellow of the UK Chartered Institute of Marketing, he specializes in PhD supervision, high-impact research, academic accreditation, Management and quality assurance, integrating artificial intelligence, consumer behaviour, and strategic marketing with strong teaching excellence and international academic engagement.

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