Committee Members

Mr. Raul Ionuț-Raul Riti is a Program and Project Manager (PMP certified) and PhD researcher in the Faculty of Industrial Engineering, Robotics, and Production Management at the Technical University of Cluj-Napoca, Romania. His research focuses on the intersection of artificial intelligence and leadership, exploring how project managers can effectively leverage algorithmic systems to enhance decision-making and governance in dynamic environments. His recent paper, Command Redefined: Neural-Adaptive Leadership in the Age of Autonomous Intelligence (AI, 2025), introduces the Neural Adaptive AI Leadership Model, presenting qualitative insights from thirty in-depth interviews, behavioral trace analysis, and survey data. The study offers a practical framework that blends agile human judgment with machine intelligence, while embedding ethical safeguards and accountability in AI-augmented leadership. Through his work, Mr. Riti advances AI-driven governance in engineering and organizational management, and his active participation in this conference reflects his dedication to integrating technology and ethical leadership to shape the future of automation and robotics.

Xiaobing Feng, founder and CEO, the chairman of Beijing Botsing Technology Co., Ltd. Ph.D. in mechanical engineering from Tsinghua University. Undertaken projects the National Key Technology Research and Development Program (863 Program) and key projects from the Ministry of Science and Technology, A part-time doctoral supervisor at the University of Science and Technology of China. Received 3 national awards, 1 international award, and 3 provincial and ministerial-level science and technology progress awards. Led and participated in the formulation of 1 national standard, 3 national teaching materials, and 5 group standards. obtained more than 300 authorized patents and published over 20 papers as the first author in domestic and international journals.

Professor Serestina Viriri is a distinguished academic and researcher in the field of Computer Science, specializing in Artificial Intelligence, Computer Vision, and Machine Learning. He is currently a Professor in the School of Mathematics, Statistics & Computer Science at the University of KwaZulu-Natal, South Africa, where he also serves as a research supervisor and mentor for postgraduate students. He holds a PhD in Computer Science and has extensive experience in AI-driven medical imaging, deep learning architectures, and hybrid AI models. Over the years, he has contributed significantly to research on medical diagnostics, pattern recognition, and explainable AI. His work has been widely published in high-impact journals and conferences, advancing knowledge in the intersection of AI and healthcare. Professor Viriri has previously held various academic and administrative positions, demonstrating leadership in AI research and curriculum development. He is an active member of professional societies and has received multiple awards for his contributions to computer science and artificial intelligence research.

Dr. Jing Lei is affiliated with the School of Computer Science and Engineering at the University of Aizu, located in Tsuruga, Ikki-machi, Aizu-Wakamatsu City, Fukushima 965-8580, Japan. His academic and research interests lie primarily in advanced computer science, engineering systems, and emerging technologies.

Prof. Kim received the BS and MS degrees from Seoul National University. He also received the MS and Ph.D. degrees in the Department of Civil and Environmental Engineering from Stanford University. Before joining Kookmin University in 2024, he worked for City University of Hong Kong as an Associate Professor. He also worked for the Center for Integrated Facility Engineering (CIFE) at Stanford University as a Post-Doctoral Research Fellow between 2016 and 2018. His research focus is on the implementation of Virtual Design and Construction (VDC) and robots to develop and manage sustainable and smart infrastructure and energy systems in an integrated manner.

Dr. Hamid Naseem, SMIEEE is a Research Professor in the Department of Electrical Engineering at Yeungnam University, South Korea. He holds a Ph.D. in Electrical Engineering with a specialization in the control of electric machinery and power conversion. His research focuses on power electronics, electric vehicle technologies, and energy-efficient converter architectures. He actively contributes to several IEEE committees, including the IEEE Transportation Electrification Council Standards Committee, the IEEE CTSoc Consumer Power and Energy Technical Committee, and the IEEE Humanitarian Technologies Project Monitoring Subcommittee.

Zhang Mengchen .D. in Public Administration from National Taipei University, where their research focused on public administration, policy, and think tank development. They also earned an MSc in Government and Public Administration from the University of Macau, and a BA in International Finance from Beijing Normal University Zhuhai Campus. Currently serving as an Assistant Professor at the School of Liberal Arts, Macau University of Science and Technology, Dr. [Name] is involved in curriculum development, undergraduate supervision, and research in public policy, higher education management, and governance. Their prior roles include Postdoctoral Researcher at the School of International Relations, Peking University, contributing to national-level think tank projects; Assistant Researcher at the Chongyang Institute for Financial Studies, Renmin University, engaging in governmental policy research; and academic support and teaching management at the School of Social Sciences, Tsinghua University. Their research expertise spans public administration, governance, policy analysis, and strategic management, complemented by skills in financial analysis, ESG reporting, entrepreneurship, and professional qualifications in nutrition and mental health.

Dr. Howard Jean-Denis is an Assistant Professor of Strategic Management at Pepperdine University. He earned an undergraduate degree in Economics and Finance and a Master’s degree in Business Administration with a focus in international business from Bentley University. Subsequently, He worked for several multinational corporations and managed a consulting firm prior to completing a PhD in Strategic Management from University of Massachusetts Amherst. He is a U.S. Army Veteran and has worked as an analyst, trader, manager and social entrepreneur in various industries. He has consistently been recognized with prestigious awards in his military, corporate, entrepreneurial and now academic capacities. Dr. Jean-Denis is originally from Haiti, although he was raised in Boston, MA. His professional work has brought him to almost 50 countries. Dr. Jean-Denis is a sought after presenter at AIB (Academy of International Business) and AOM (Academy of Management). His publications have appeared in numerous management research outlets, including the African Journal of Business, Academy of Management Proceedings, International Journal of Export Marketing, and Routledge publishing. In his free time, you can find him outside running marathons, completing triathlons, reading great books, or simply hanging out with family and friends.

Yin-Tien Wang (Member, IEEE) received the B.S. degree from Tamkang University (TKU), New Taipei City, Taiwan, in 1983, the M.S. degree from the Stevens Institute of Technology, Hoboken, NJ, USA, in 1988, and the Ph.D. degree from the University of Pennsylvania, Philadelphia, PA, USA, in 1992, all in mechanical engineering.,He joined the Department of Mechanical and Electro-Mechanical Engineering, TKU, as an Associate Professor, in 1992, and was appointed as Full Professor in 2013. He served as the Chairperson of the Department of Mechanical and Electro-Mechanical Engineering, TKU, from 2016 to 2020, where he is currently a Professor and the Chairperson of the Department of Artificial Intelligence, and also in charge of robotics and machine vision courses. His current interests include computer vision research and the transference of this technology to robotic and nonrobotic application domains.

Ph.D. from the Autonomous University of Hidalgo State and currently serves as a Professor in the Mechatronics Engineering Department at the Polytechnic University of Pachuca. His academic contributions extend beyond teaching, as he is also an Associate Editor for respected journals such as the International Journal of Robotics and Control Systems, Symmetry, and Jurnal Teknik Elektro Komputer dan Informatika. His research interests focus on fuzzy logic, control theory, computer science, and fault diagnosis, areas in which he has published numerous scholarly articles. He is also recognized as a member of the National System of Researchers in Mexico, highlighting his active role in advancing scientific knowledge and innovation.

Chi-Wai Chow received the B.Eng. (First-Class Hons) and Ph.D. degrees both from the Department of Electronic Engineering, the Chinese University of Hong Kong (CUHK) in 2001 and 2004 respectively. Between 2005-2007, he was a Postdoctoral Research Scientist, involved in two European Union Projects: PIEMAN (Photonic Integrated Extended Metro and Access Network) and TRIUMPH (Transparent Ring Interconnection Using Multi-wavelength Photonic switches) in the Tyndall National Institute and Department of Physics, University College Cork (UCC) in Ireland. In 2007, he joined the Department of Photonics, National Chiao Tung University (NCTU), now is National Yang Ming Chiao Tung University (NYCU) in Taiwan. He is a full Professor in this department. He is currently the Associate Editors of Journal of Lightwave Technology and IEEE Photonics Journal. He has served and is serving TPCs of conferences, such as OFC (2021-2023), ECOC (2020-2023), OECC (2020-2021), etc. He has co-authored more than 600 papers in journals and conferences.

Ir. Dr. Rizauddin is an Associate Professor at the Department of Mechanical and Manufacturing Engineering, Universiti Kebangsaan Malaysia(UKM). He received the Bachelor degree in mechanical engineering from the Kyoto University, Japan, in1997, Master in mechanical and system engineering and Ph.D. degree in mechanical engineering from the Gifu University, Japan, in 2005 and 2008, respectively. With over two decades of academic and research experience, Dr. Rizauddin specializes in robotics, intelligent control systems, autonomous vehicles, and human-assistive exoskeleton technologies. His current research focuses on AI-integrated control strategies, real-time robotic simulation, and autonomous UAVs for infrastructure inspection. Dr Rizauddin has an extensive publication record, with over 100 articles to his name. Approximately 30% of these are high-impact publications. He has also co-authored and authored books in his areas of expertise. His extensive publication record and high-impact contributions are complemented by several widely recognized books he has authored and co-authored within the academic community . He is also a Professional Engineer with Practising Certificate in mechanical engineering from Board of Engineers Malaysia since 2014. Frequently referred by the industries for robot engineering consultations on its application and automated systems. He received several research grants since 2008 from industries and Ministry of Higher Education Malaysia.

Pahrudin was a Postdoctoral researcher at the Department of Leisure and Services Management, Chaoyang University of Technology, Taiwan. He is also a Lecturer at the Faculty of Social Sciences and Economics, Universitas Hamzanwadi (Indonesia). His research interests are tourism economics, tourism marketing and management, disaster/crises in tourism, tourist behavior in the post-disaster period, and management and marketing.

Zhugen Yang is a Professor of Biosensing and Environmental Health, leading a UKCRIC-funded Advanced Sensors Laboratory for water-environment-health-nexus since 2019. He joined Cranfield University as a Lecturer in 2019 and was promoted to Senior Lecturer in 2022 and Professor in 2023, after being a Lecturer at the University of Glasgow since 2018. He has received three prestigious Fellowships/awards for different career stages, including the Leverhulme Research Leadership Awards (2023-2028), UKRI NERC Personal Fellowship, and EU Marie Curie Fellow. He completed his postdoc at the University of Cambridge. He was an EU Marie Curie Fellow at the University of Bath, after receiving his PhD at the University of Lyon (Ecole Centrale) in France, MSc (Sun Yat-sen University, SYSU), and BEng (Harbin Institute of Technology, HIT) in China.

Yi Fang is an Associate Professor of Electrical and Computer Engineering at the NYU Abu Dhabi and NYU Tandon. He directs the NYU Multimedia and Visual Computing Lab. He received his Ph.D. degree from Purdue University, West Lafayette in 2011. Upon one year of industry experience in Siemens in Princeton, New Jersey and in Riverain Technologies in Dayton, Ohio, and a half-year academic experience as a senior staff scientist at Department of Electrical Engineering and Computer science, Vanderbilt University, Nashville, he joined New York University Abu Dhabi as an Assistant Professor of Electrical and Computer Engineering. Professor Fang’s research focuses on 3D Computer Vision and Machine Learning with applications to robotics and autonomous driving. He is currently working on the development of 3D deep learning technologies in large-scale visual computing, cross-domain and cross-modality models, and their various industrial applications. Professor Fang has published more than 50 papers in international journals and conferences including IEEE TPAMI, TIP, TC y bernetics, TNNLS, CVPR, ICCV, ECCV, NeurIPS, AAAI, IJCAI, ACMMM, IROS, etc. Professor Fang has served as the publicity chair for the 27th ACM International Conference on Multimedia (ACMMM) in Nice, France. He has served as co-chair for the IROS 2019 session “Human-centered Robotics” and will serve as the program chair for the Asian Conference on Machine Learning (ACML 2021) and the area chair of the Conference on Computer Vision and Pattern Recognition (CVPR 2021, CVPR 2022) and International Conference on Computer Vision (ICCV 2021).

Dr Mukesh Prasad is a Senior Lecturer at the School of Computer Science in the Faculty of Engineering and IT at UTS and a subject matter expert for Artificial Intelligence and Machine Learning at Institute of Applied Technology (IAT), NSW, Australia. He has made substantial contributions to the fields of machine learning, artificial intelligence, data analytics and Natural Language Processing. He is working also in the evolving and increasingly important field of computer vision and internet of things, which promise to pave the way for the evolution of new applications and services in the areas of healthcare, biomedical, agriculture, smart cities, education, marketing and finance. His research has appeared in numerous prestigious journals, including IEEE/ACM Transactions, and at conferences, and he has published more than 200 research articles .He started his academic career as a lecturer with UTS in 2017 and became a core member of the University’s world-leading Australian Artificial Intelligence Institute (AAII), which has vision to develop theoretical foundations and advanced technologies for AI and to drive progress in related areas. His research is backed by industry experience, specifically in Taiwan, where he was the principal engineer (2016-17) at the Taiwan Semiconductor Manufacturing Company (TSMC). He received an M.S. degree from the School of Computer and Systems Sciences at the Jawaharlal Nehru University in New Delhi, India (2009), and a PhD from the Department of Computer Science at the National Chia o Tung University in Taiwan (2015)

Dr. Xiaomo Jiang is a distinguished professor of Energy and Power Engineering at Dalian University of Technology, where he serves as Director of the Provincial Key Lab of Digital Twin for Industrial Equipment and the Institute for Carbon Neutrality. His research focuses on smart maintenance, digital twin and AI for Science (AI4Science) applications in large turbomachinery under uncertainties. Dr. Jiang earned his Ph.D. from The Ohio State University (OSU) in 2005 and an MEng from the National University of Singapore (NUS) in 2000, specializing in intelligent systems. Prior to academia, he accumulated over a decade of industry experience as a Senior Engineer and Technical Leader at Ford Motor Company and General Electric (GE), where he developed AI-driven solutions for remote monitoring, diagnostics, and prognostics of energy and power equipment. As a prolific scholar, Dr. Jiang has co-authored over 100 journal papers, 1 book, and 11 book chapters, as well as over 30 patents in the cross-disciplinary fields of physics-informed deep learning, lightweight modeling, and advanced statistics. His work has earned him consistent recognition as an Elsevier Highly Cited Chinese Researcher and a Top 2% Most-Cited Scientist Worldwide (Stanford University ranking). [included if needed] In addition, Dr. Xiaomo Jiang holds concurrent appointments as Chair Professor at multiple 985 universities in China, Technical Expert for leading enterprises including Shanghai Electric Group (SEGC), Commercial Aircraft Corporation of China (COMAC), Dalian Metallurgy Group, and China National Offshore Oil Corporation (CNOOC), Committee Member of key industry and research bodies such as China International Turbomachinery Industry Alliance, Liaoning Marine Renewable Energy Technology Platform, and Dalian Artificial Intelligence Research Institute. Dr. Jiang used to serve as a Session Chair for the 4th Asia-Pacific PHM and 4th GPPS Conferences, editorial positions (Associate Editor, Editorial Board Member, or Technical Advisor) for over 30 international conferences, committee member of the ASME (American Society of Mechanical Engineers) Model Verification Standards Committee, Editorial Board Member of ASME Journal of Risk and Uncertainty Analysis and Journal of Advanced Computing.  He is an International Editorial Board Member of Journal of Propulsion Technology, and a licensed Professional Engineer (PE) in the United States.