Assist. Prof. Dr. Danyun Xu | AI-Based Robot Perception | Excellence in Research Award

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Assist. Prof. Dr. Danyun Xu | AI-Based Robot Perception | Excellence in Research Award

Jianghan University | China

Assist. Prof. Dr. Danyun Xu is an Associate Professor at the College of Life Science, Jianghan University, specializing in mushroom resource development and bioactive peptide research. Her work integrates AI-assisted molecular simulation and multi-omics approaches to elucidate functional mechanisms and support the development of innovative functional foods. She has led projects funded by the National Natural Science Foundation of China, published multiple high-impact papers in journals such as Food Chemistry and npj Science of Food, AI-Based Robot Perception and contributed to advancing high-value utilization of edible mushroom resources, promoting industrial innovation in healthy food products.

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Prof. Upali Samarajeewa | Agricultural Robot Applications | Research Excellence Award

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Prof. Upali Samarajeewa | Agricultural Robot Applications | Research Excellence Award

University of Peradeniya | Canada

Prof. Upali Samarajeewa is a distinguished scientist in microbiology, food safety, and chemical sciences. He earned his Ph.D. in Microbiology from the University of Sri Lanka, Peradeniya after completing his B.Sc. from the University of Ceylon, Peradeniya. His research has significantly advanced food safety, particularly in mycotoxins, Agricultural Robot Applications and processing-related contaminants, with over 1,500 citations and an h-index of 21, alongside numerous awards and editorial contributions to international journals.

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Prof. Min Ma | AI-Based Robot Perception | Research Excellence Award

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Prof. Min Ma | AI-Based Robot Perception | Research Excellence Award

Central University of Finance and Economics | China

Prof. Min Ma is an Associate Professor in the Department of Psychology at the Central University of Finance and Economics. She earned her Ph.D. from the University of Antwerp and was a visiting scholar at the Torrance Center for Creativity and Talent Development, University of Georgia. Her research focuses on the mechanisms underlying personality traits-such as perfectionism, creative personality, and maximization tendency-and their influence on health and social decision-making, aiming to promote adaptive decision strategies and enhance meaning in life. She also has strong interests in applied psychology, mental health services, AI-Based Robot Perception and gifted education, contributing to both theoretical and practical advancements in psychology.

 

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Ms. Chigozie Charity Okwuwa | Voice and Gesture Recognition | Young Researcher Award

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Ms. Chigozie Charity Okwuwa | Voice and Gesture Recognition | Young Researcher Award

China University of Petroleum Beijing | China

Chigozie Charity Okwuwa is a Chemical and Process Engineer and PhD researcher specializing in sustainable materials, catalysis, and advanced polymer composites. Her research focuses on developing low-temperature homogeneous catalysts for degrading polycyclic aromatic hydrocarbons and designing nanocellulose-reinforced biocomposites for pharmaceutical applications. With experience as a graduate research assistant and academic instructor, she has applied advanced materials characterization and molecular modeling techniques to optimize functional biomaterials. She has contributed to international conference publications and interdisciplinary research activities, while actively supporting laboratory training, curriculum development, Voice and Gesture Recognition and student mentorship in chemical and process engineering.

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Assist. Prof. Dr. Thierry Koumbi Mounanga | Energy-Efficient Robotic Systems | Research Excellence Award 

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Assist. Prof. Dr. Thierry Koumbi Mounanga | Energy-Efficient Robotic Systems | Research Excellence Award 

University of Toronto | Canada

Thierry Koumbi Mounanga is a Canadian scientist and researcher specializing in biomedical, analytical, and environmental chemistry. He earned his PhD from the University of Lorraine, France, focusing on the design and synthesis of complex amphiphilic antioxidant compounds with fungicidal applications. He later completed a postdoctoral fellowship at the University of Toronto, where he developed expertise in spectroscopy-based surface characterization and multivariate data analysis. His research interests include sustainable chemical formulations, wood science technologies, Energy-Efficient Robotic Systems and environmental modeling. He has contributed to industrial collaborative projects and peer-reviewed publications while actively supporting graduate and undergraduate research and interdisciplinary academic initiatives.

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Dr. Imen Jarraya | Autonomous Robot Navigation | Women Researcher Award

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Dr. Imen Jarraya | Autonomous Robot Navigation | Women Researcher Award

Prince Sultan University | Saudi Arabia

Dr. Imen Jarraya is a Postdoctoral Fellow and Electrical Engineer at Prince Sultan University, Saudi Arabia, specializing in artificial intelligence, Internet of Things, robotics, and energy management systems. Her research focuses on embedded systems, autonomous UAV navigation in GPS-denied environments, Autonomous Robot Navigation and intelligent sensor fusion for resilient tracking and automation. She has contributed to interdisciplinary projects on hybrid vehicle power management and smart IoT-based solutions, combining strong programming expertise with hardware design and system integration. With extensive academic teaching and research supervision experience, her work advances intelligent automation, autonomous systems, and sustainable energy technologies.

 

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Mr. Getachew Getu Enyew | Artificial Intelligence | Research Excellence Award

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Mr. Getachew Getu Enyew | Artificial Intelligence | Research Excellence Award

Addis Ababa Science and Technology University | Ethiopia

Mr. Getachew Getu Enyew is an academic researcher and AI/ML engineer specializing in AI-driven cybersecurity, intelligent autonomous systems, and robotic perception. A fast-track MSc graduate in Computer Engineering from Addis Ababa Science and Technology University, he has developed machine learning models for threat detection, Artificial Intelligence, anomaly analysis, and decision-making systems applied to critical infrastructure. He currently works as an AI/ML Engineer and Application Software Developer in national information network security projects while also serving as a lecturer and research supervisor. His research interests focus on trustworthy AI, intelligent robotics, and scalable cybersecurity solutions for autonomous and cloud-based systems.

 

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Dr. Yuan Xiang | Advanced Motion Planning | Research Excellence Award

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Dr. Yuan Xiang | Advanced Motion Planning | Research Excellence Award

Hunan University | China

Dr. Yuan Xiang is a researcher at the School of Civil Engineering, Hunan University, China, whose work focuses on data-driven innovation analysis in the construction sector. His research develops computational frameworks to quantify university–industry–government interactions using large-scale text mining, machine learning, and network analysis. By integrating Triple Helix theory with dynamic indicators such as attention, sentiment, and stakeholder relevance, his work provides real-time insights into innovation ecosystems and policy impacts in the built environment. His contributions support evidence-based decision-making for digital transformation, sustainable development, Advanced Motion Planning and strategic collaboration across academic, industrial, and governmental stakeholders.

 

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