Dr. Mohan is currently a Full Professor with the Engineering Product Development Pillar at Singapore University of Technology and Design (SUTD). He received his Ph.D. and M.Sc degrees from the Nanyang Technological University. He obtained his B.E degree from the Amrita Institute of Technology and Sciences affiliated to Bharathiar University, India. His research interests are in robotics with an emphasis on reconfigurable platforms as well as research problems related to robot ergonomics and autonomous systems. He has published more than 300 papers in leading journals, books, and conferences. He is the recipient of SG Mark Design Award, IDA Design Award, ASEE Best of Design in Engineering Award, Tan Kah Kee Young Inventors’ Award and A’ Design award. He is the cofounder of Lionsbot, a robotics company that develops and deploys a wide range of autonomous cleaning robots.

Dr. Hao Jiang is a lecturer in International Design Institute. He used to work in National University of Singapore and George Mason University of America. His major research area includes Design Cognition, Product Design and evaluation, Products design on the disabled and old man. He is the author and co-author of 14 international and national refereed articles and holds 11 innovation patents. Dr. Hao Jiang concentrates more about the integration about design and business opportunities, and he has won prizes in International Business Plan Competition four times.

Dr. Maryam Kouzehgar is a Lecturer with Engineering Institute of Technology (EIT), Melbourne Campus where she is actively collaborating with the School of Electrical Eng. and the School of Industrial Automation Eng.

Dr. Kouzehgar holds B. Sc., M. Sc., and Ph. D .degrees in Electrical Engineering (Control Systems) completing her PhD in 2015. She has over 15 years of academic experience in Australia and overseas, spanning teaching, research, postgraduate supervision, and curriculum development leadership.

Prior to joining EIT, she was a Senior Post-Doctoral Research Fellow at Singapore University of Technology and Design (SUTD), affiliated with SUTD–MIT International Design Center, where her work focused on intelligent systems, learning-based control, and AI-enhanced collaborative robotics.

At EIT, Dr. Kouzehgar is actively involved in course development initiatives, contributing as a member of Course Advisory Committees across Electrical, Automation, Computer Systems and Robotics programs to support interdisciplinary and industry-oriented curriculum. She also contributes to assessment moderation, accreditation-driven curriculum mapping, and doctoral and research proposal review panels. Her academic practice is driven by a commitment to high-quality engineering education, relevance to industry, and continuous improvement.

With regards to teaching, she mainly handles topics on control systems, robotics, smart grids, power electronics, industrial automation, and intelligent engineering systems, with a strong emphasis on applied learning and professional practice. Apart from teaching she is supervising Masters and Doctor of Engineering (DEng) students at EIT. Her research interests include control engineering, robotics, machine learning, multi-agent coordination, and smart grid technologies, with a focus on developing robust and adaptive solutions for complex engineering systems.

Jianxi Luo is a Professor of Systems Engineering at City University of Hong Kong. He holds a PhD in Engineering Systems and an MS in Technology Policy from MIT, plus an MS in Automotive Engineering and a BE in Thermal Engineering from Tsinghua University. Prof. Luo is Editor-in-Chief of Research in Engineering Design and the author of Design Science: Driving Innovation with Unified Principles. He is ranked No.1 in East Asia and 17th globally in the field of Design Practice and Management in Stanford‘s list of top 2% scientists. At CityUHK, he founded the Master of Science in AI-Driven Innovation.

Luo’s current research focuses on design theory and methodology, specializing in generative AI for engineering design. He was best known for his contributions to establishing the Data-Driven Innovation (DDI) paradigm, including its foundational theories, methods, and tools, for which he was named a G20 Professor. Luo’s work has yielded several industry-adopted AI-for-design tools, alongside 170+ publications, 130+ invited talks, and 20+ international awards from organizations such as ASME, INFORMS, Design Society, and Complex Systems Society. His broader interests encompass design science, complex systems, artificial intelligence, entrepreneurship, leadership, and innovation policy. Luo served as the Chair of INFORMS Technology Innovation Management & Entrepreneurship Section and as an executive committee member of the Council of Engineering Systems Universities in the USA.

Previously, he was Director of the Data-Driven Innovation Lab at Singapore University of Technology and Design (SUTD), Principal Investigator at the SUTD-MIT International Design Centre, and Director of the SUTD Technology Entrepreneurship Programme. He also served as an adjunct faculty member at Schwarzman College of Tsinghua University, a full-time faculty member at New York University, a visiting scholar at Cambridge University and Columbia University. Luo has collaborated with organizations such as World Economic Forum, Environmental Defense Fund, Asian Development Bank, and Toyota USA.

He is a research fellow at Singapore University of Technology and Design (SUTD), Singapore. He is interested in Reconfigurable robotics, Path Planning, Human-robot interaction, and Service robotics.

He earned his doctoral degree from the Department of Electrical Engineering, University of Moratuwa, Sri Lanka in July 2018. As his doctoral research, he has developed an interactive robot for assisting disabled/elderly persons in domestic environments and the main focus of the research was to develop an intelligent system to understand uncertain information such as “small”, “far” and “little” by adapting the perception of the robot based on context, environment and the experience.

Asst. Prof. Rizuwana Parween is the Module Convenor for Robot Design and Implementation, Applied Stress Analysis, Rapid Prototyping, CNC Machining, CAD, and Advanced Manufacturing, Engineering Mathematics and serves as a tutor for the Summer Internship Training Programme for ZJSU students.  Prior to joining the University of Sussex, she worked as a postdoctoral researcher at the University of Sussex and the Singapore University of Technology and Design (SUTD), where she focused on reconfigurable robot design and manufacturing, as well as Continuous Variable Transmission (CVT) joint systems for nuclear robotics. 

Dr. Branesh M. Pillai is an Assistant Professor of the Medical Engineering program in the Department of Industrial Systems Engineering at Asian Institute of Technology, Thailand. His research primarily focuses on Robot Control Systems, Surgical Robotics, Rehabilitation Robotics, Bioinspiration & Biomimetics, Artificial Intelligence, AR/VR systems, and Heterogeneous Robots.

Chinthaka Premachandra (Senior Member, IEEE) was born in Sri Lanka. He received the B.Sc. and M.Sc. degrees from Mie University, Tsu, Japan, in 2006 and 2008, respectively, and the Ph.D. degree from Nagoya University, Nagoya, Japan, in 2011. From 2012 to 2015, he was an Assistant Professor with the Department of Electrical Engineering, Faculty of Engineering, Tokyo University of Science, Tokyo, Japan. From 2016 to 2017, he was an Assistant Professor with the Department of Electronic Engineering, School of Engineering, Shibaura Institute of Technology, Tokyo, where he was an Associate Professor, from 2018 to 2022. In 2022, he was promoted to a Professor with the Department of Advance Electronic Engineering, School of Engineering and Graduate School of Engineering, Shibaura Institute of Technology, where he is currently the Director of the Image Processing and Robotic Laboratory. His research interests include AI, UAV, image processing, audio processing, intelligent transport systems (ITS), and mobile robotics. 

He is a member of IEEE, IEICE, Japan; SICE, Japan; RSJ, Japan; and SOFT, Japan. He has received many awards, including the IEEE SENSORS LETTERS Best Paper Award from the IEEE Sensors Council in 2022 and the IEEE Japan Medal from the IEEE Tokyo Section in 2022. He also received the FIT Best Paper Award and the FIT Young Researchers Award from IEICE and IPSJ, Japan, in 2009 and 2010, respectively. He has served as a steering committee member and an editor for many international conferences and journals. He is the Founding Chair of the International Conference on Image Processing and Robotics (ICIPRoB), which is technically co-sponsored by IEEE. He is currently serving as an Associate Editor for IEEE Robotics and Automation Letters (R-AL) and Guest Editor for IEEE Sensors Journal.

Dr. Madan Mohan Rayguru is a faculty member in the College of Business, where he teaches courses including Business Statistics, Python Programming, R Programming, and Advanced Analytical Tools. He holds a Ph.D. in Electrical Engineering from the Indian Institute of Technology Delhi. Since 2023, Dr. Rayguru has also been an affiliated faculty member with the Next Generation Research Group at the Louisville Autonomous Robotics Research Institute (LARRI), where his research focuses on advanced AI techniques such as reinforcement learning and transformers for human-robot interaction. His work particularly supports assistive applications for autistic children and elderly healthcare. He previously served as a Senior Research Fellow at the ROAR Lab, Singapore University of Technology & Design, working on autonomy in self-reconfigurable robots, and later as an Assistant Professor at Delhi Technological University until 2022. Dr. Rayguru’s research interests include data-driven modeling, constrained systems, and affective computing. He also serves as an editor for several international journals, including IEEE Ubiquitous Robots, Frontiers in Robotics & AI, and MDPI Sensors. He is deeply committed to using AI to improve lives and create a lasting impact in business, healthcare, and society.

Dr Ernest Tan currently serves in the Infocomm Technology Cluster at the Singapore Institute of Technology (SIT), with research interests in edge intelligence for real-time artificial intelligence (AI) services in Internet of Things (IoT) networks. Specifically, his research interest focuses on edge caching and computation offloading for real-time AI services with the aim of overcoming the computation and battery constraints of IoT devices and embodied agents. 

Dr Ernest Tan graduated with a First Class Honours in Computer Engineering from Nanyang Technological University (NTU) in 2015 and earned his Ph.D. in Computer Engineering from NTU in 2020. His doctoral research was supported by the Economic Development Board’s Industrial Postgraduate Programme (IPP) in collaboration with Airbus Singapore, where he also served as a Research Engineer from 2016 to 2020.

Kenneth Tracy is an Associate Professor in Architecture at American University of Sharjah where he teaches design courses. His research collaborations combine work in material science, computation, engineering and craftsmanship to investigate how performance-based design can inform the built environment. Expertise in digital fabrication and digital design link Kenneth’s teaching to his research and practice. Previously Tracy taught at Singapore University of Technology and Design (SUTD), Pratt Institute, Columbia University, the New Jersey Institute of Technology, and at Washington University. Tracy has lectured about his work at Columbia University, the University of Minnesota, and the University of Texas at Arlington.

Prof. Dr. Bige Tunçer’s research addresses the complex interplay between the spatial morphology and physical attributes of urban and architectural environments, the ways these spaces are used and experienced, and users’ perception, behavior, and appreciation over time. Her work investigates how design decisions shape social, environmental, and economic outcomes in cities, and how these relationships can be made explicit, measurable, and actionable.

The overarching goal of her research is to develop AI-enabled, data-driven methodologies and decision-support systems that translate heterogeneous data; ranging from spatial, environmental, and sensor data to citizen participation and human-centric data; into meaningful knowledge for early-stage design, planning, and policymaking. These methods support designers, planners, engineers, policy makers, and other stakeholders in navigating complexity, uncertainty, and competing objectives in the built environment.

Her chair’s research focuses on data collection and sensing, information and knowledge modelling, and advanced visualization and interaction techniques to support informed architectural and urban design. Key application domains include urban vitality and walkability, energy transition and positive energy districts, urban resilience and climate adaptation, digital construction and linked data ecosystems, citizen participation and post-participation analysis, and nature-based solutions. Across these domains, the research emphasizes early design support, parametric and computational approaches, and the integration of human and machine intelligence in collaborative design and decision-making processes.

Prof. Dr. Tunçer is an established leader in the field of evidence based design and urban science. She leads and participates in various large multi-disciplinary research grants in evidence informed design and planning, IoT, urban science, AI, big data, and digital twins. She has often been invited to conferences and workshops in academia, government agencies, and industry as a keynote speaker, and sits on academic, government, and industry panels and boards. She has numerous publications in influential academic journals and proceedings, and these have been cited widely in the academic community. Her work has been exhibited at international exhibitions and has won awards.

Dr. Yixiao Wang is an Assistant Professor in the School of Industrial Design at Georgia Institute of Technology. As an interaction design researcher, his primary focus is on making built environments socially intelligent and interactive. Dr. Wang leads the Robotic Environment Lab, where he explores how robotic environments can shape our everyday lives both physically and socially through interactivity and adaptivity. His vision is to transform homes, offices, classrooms, public spaces, and even natural environments into socially intelligent "Space Agents" that can function as friends, partners, companions, or caregivers. 

Dr. Wang's expertise lies in human-centered design, engineering, and evaluation of smart machines at various scales, both spatial and non-spatial. His research investigates how socially expressive smart machines, seemingly imbued with emotions, personalities, and social roles, can improve and empower our daily experiences. Through his work, Dr. Wang aims to push the boundaries of how we interact with our surroundings, envisioning a future where our environments are not just spaces, but active, socially intelligent participants in our lives.

Dr. Kristin L. Wood completed his M.S. and Ph.D. degrees in the Division of Engineering and Applied Science at the California Institute of Technology (Caltech), where he was an AT&T Bell Laboratories Ph.D. Scholar. Dr. Wood joined the faculty at the University of Texas in September 1989 and established a computational and experimental laboratory for research in engineering design and manufacturing, in addition to a teaching laboratory for prototyping, reverse engineering measurements, and testing. During the 1997-98 academic year, Dr. Wood was a Distinguished Visiting Professor at the United States Air Force Academy. Through 2011, Dr. Wood was a Professor of Mechanical Engineering, Design & Manufacturing Division at The University of Texas at Austin. He was a National Science Foundation Young Investigator, the Cullen Trust for Higher Education Endowed Professor in Engineering, University Distinguished Teaching Professor, and the Director of the Manufacturing and Design Laboratory (MaDLab) and MORPH Laboratory. After UT Austin, Dr. Wood helped establish the fourth national university of Singapore, SUTD, as the Associate Provost for Graduate Studies, a Professor of Engineering and Product Development (EPD, epd.sutd.edu.sg), founding EPD Head of Pillar, and Director of the SUTD-MIT International Design Center (IDC, idc.sutd.edu.sg) at the Singapore University of Technology and Design (SUTD, sutd.edu.sg). Dr. Wood has published more than 600 refereed articles and books, has received more than 120 national and international awards in design, research, and education, consulted with more than 100 companies (MNCs, SMEs, and startups) and government organizations on Design Innovation and Design Thinking, a Fellow of the American Society of Mechanical Engineers (ASME), and a Board Member of the Design Science Journal.