KEYNOTES AND PANEL DISCUSSION​

Our Speaker

Metaverse / Digital Twin

Innovation of manufacturing method using metaverse
Moderator
Keynote Speech
Panel
Keynote Speech
Panel

Robotics

Operation of flexible production process and robotics
Keynote Speech
Panel
Keynote Speech
Panel
HMGICS
(VP Louie Han)
Panel

Industrial AI / Big Data

AI/Big Data and Productivity Improvement
Keynote Speech
Panel
Keynote Speech
Panel
HMGICS
(Dr. Minhoe Hur)
Panel

Sustainability

Securing sustainability of manufacturing plant
VP Alpesh Patel
Moderator
Keynote Speech
Panel

Prof. Detlef Zuehlke

Founder SmartFactoryKL and retired Director Innovative Factory Systems
German Research Center for Artificial Intelligence DFKI

Title : With AI from data to knowledge

Time : 14:00 ~ 14:15

Venue : NTU@Novena

Abstract 

Following the Industry 4.0 paradigm all items of a factory will be linked via networks based on Internet standards. So all devices are also data sources, wchich can be accessed easily from all around the world. But these huge amounts of data must be converted to knowledge in order to make commercial use of it. This will push the importance of cloud plattforms as service provider or broker and AI to exploit the available data.

This panel will discuss the future importance of data and concrete application fields. Also recent developments like Manufacturing-X / Catena-X will be addressed.

Profile

He received the MS in electrical engineering and computer sciences and his PhD in robotics both from RWTH Aachen/Germany. Until his retirement in 2017 he was Professor for Industrial Automation at the University of Kaiserslautern and Director of the research department Innovative Factory Systems (IFS) at the German Research Center for Artificial Intelligence (DFKI).

In 2005 he founded the first smart factory worldwide as a non-profit research association which became the worldwide leader in smart manufacturing. Until his retirement he served as its executive chairman.

As the pioneer of the smart factory Industry 4.0 paradigm, he was honored by the Doctor honoris causa of the University Sibiu and the Badge of Honor of the German Society of Engineers VDI for outstanding contributions to the field of engineering. Amongst many others, he also received the IFAC outstanding service award.

Prof. Jay Lee

Clark Distinguished Professor and Director of Industrial AI Center
Univ. of Maryland College Park

Title : Recent Advances of Digital Twin and Industrial AI for Predictive and Worry-Free Manufacturing

Time : 09:45 ~ 10:00

Venue : NTU@Novena

Abstract 

Since its birth in 2011 Industry 4.0 became the synonym for the production of the future leading to the big picture of the 4th industrial revolution. Even though the word Industry 4.0 came up like a big bang, the basics for this development started much earlier. In the late 90´s the internet became the important driver in the new milleniume. First, it connected people and later all things around. Then in 2005 the first smart factory worldwide was founded in Kaiserslautern/Germany. Starting with smart machines, research was then extended to smart manufacturing systems which can be designed and setup like building with LEGO bricks.

Today, we face a much broader view of Industry 4.0. In Phase 1 Technologies were in the focus and reached a mature level for factory automation. Now we are facing Phase 2 in which we see new applications and new business models coming up. And instead of control commands we move one level up and communicate on a service architecture level. And as all devices are networked and so data sources, we have access to huge amounts of data which must be converted to knowledge in order to make commercial use of it. This will push the importance of cloud platforms as service provider or broker and AI to exploit the available data.

Profile

Dr. Jay Lee is Clark Distinguished Professor and Director of Industrial AI Center in the Mechanical Engineering Dept. of the Univ. of Maryland College Park.

Previously, he served as Founding Director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (www.imscenter.net) during 2001-2019. IMS Center has developed research memberships with over 100 global company since 2000 and was selected as the most economically impactful I/UCRC in the NSF Economic Impact Study Report in 2012.

He was on leave from UC to serve as Vice Chairman and Board Member for Foxconn Technology Group during 2019-2021 to lead the development of Foxconn Wisconsin Science Park in Mt. Pleasant, WI (www.foxconnwiofficial.com). In addition, he advised Foxconn business units to successfully receive six World Economic Forum (WEF) Lighthouse Factory Awards since 2019. He is a member of Global Future Council on Advanced Manufacturing and Production of the World Economics Council (WEF), a member of Board of Governors of the Manufacturing Executive Leadership Council of National Association of Manufacturers (NAM), Board of Trustees of MTConnect, as well as a senior advisor to McKinsey. Previously, he served as Director for Product Development and Manufacturing at United Technologies Research Center (now Raytheon Technologies Research Center) during 1998-2000, as well as Program Director for a number of programs (including ERCs, I/UCRCs, and Materials Processing and Manufacturing Programs) at NSF during 1991-1998. He was selected as 30 Visionaries in Smart Manufacturing in by SME in Jan. 2016and 20 most influential professors in Smart Manufacturing in June 2020, and has received SME Eli Whitney Productivity Award and SME/NAMRC S.M. Wu Research Implementation Award in 2022. His new book on Industrial AI was published by Springer in 2020.

Prof. Seth Hutchinson

Executive Director of the Institute for Robotics and Intelligent Machines,
Professor and KUKA Chair for Robotics

Title : The Impacts of Today’s Robotics Innovation on the Relationship between Robots and Their Human Co-Workers in Manufacturing Applications

Time : 11:55 ~ 12:10

Venue : NTU@Novena

Abstract 

Since their earliest deployments in manufacturing scenarios, robotic systems have been relegated to performing repetitive tasks by executing sequences of preprogrammed actions. Today, thanks in large part to advances in machine learning and optimization-based control, true autonomy now seems within reach, as robots become increasingly resilient, flexible, and intelligent.

With this increase in robotic capabilities, there will be a concurrent evolution in the respective roles of robots and human workers in manufacturing operations. In some domains, such as logistics, robots will function independently, liberating human workers from tedious operations such as bin picking and palletizing.  In other domains, robots and humans will work collaboratively, sharing a common workspace, even to the point of physical human-robot interaction.  In still other domains, human perception, dexterity, and general reasoning skills will continue to outperform robotic systems, and humans will remain the dominant decision-makers and principal actors. This talk will give an overview of current state-of-the-art robotic technologies, along with some forecasts for this coming co-evolution of robotic and human workers in collaborative manufacturing operations.

Profile

Seth Hutchinson is the Executive Director of the Institute for Robotics and Intelligent Machines at the Georgia Institute of Technology, where he is also Professor and KUKA Chair for Robotics in the School of Interactive Computing. Hutchinson received his Ph.D. from Purdue University in 1988, and in 1990 joined the University of Illinois in Urbana-Champaign (UIUC), where he was a Professor of Electrical and Computer Engineering (ECE) until 2017, serving as Associate Department Head of ECE from 2001 to 2007. He is currently an Emeritus Professor of ECE at UIUC.

Hutchinson served as president of the IEEE Robotics and Automation Society (RAS) during 2020-21. He has previously served as a member of the RAS Administrative Committee, as the Editor-in-Chief for the “IEEE Transactions on Robotics” and as the founding Editor-in-Chief of the RAS Conference Editorial Board.  He has served on the organizing committees for more than 100 conferences, has more than 300 publications on the topics of robotics and computer vision, and is coauthor of the books “Robot Modeling and Control,” published by Wiley, and “Principles of Robot Motion: Theory, Algorithms, and Implementations,” published by MIT Press. He is a Fellow of the IEEE.

Prof. Lihui Wang

Professor and Chair of Sustainable Manufacturing, Director of Centre of Excellence in Production Research
KTH Royal Institute of Technology Stockholm, Sweden

Title : From AI to Human-Robot Collaborative Assembly

Time : 11:40 ~ 11:55

Venue : NTU@Novena

Abstract 

As an emerging technology, human-robot collaboration (HRC) has attracted increasing attentions in recent years, both in academia and in industry. For example, in human-robot collaborative assembly, robots are often required to dynamically change their pre-planned trajectories and control parameters to collaborate with humans in a shared workspace. However, industrial robots used today in factories are still controlled by pre-generated rigid codes that cannot support effective HRC that requires runtime adaptability.

In response to the need of better adaptability, human motion prediction for example is crucial for both collision avoidance and proactive assistance of robots to humans, in addition to multi-modal robot control and in-situ operator support. Deep learning is proven to be useful for classification, recognition and context awareness identification. Within the context, this presentation provides a brief review on artificial intelligence as well as the current status and technical treatments of relevant technologies employed in HRC. Remaining challenges and future research directions will also be highlighted.

Profile

Lihui Wang is a Chair Professor in Sustainable Manufacturing and the Director of Centre of Excellence in Production Research (XPRES) at KTH Royal Institute of Technology, Sweden. His research interests are primarily focused on human-robot collaboration, cyber-physical systems, real-time monitoring and control, predictive maintenance, and adaptive manufacturing systems.

Professor Wang is actively engaged in various professional activities. He is the Editor-in-Chief of Robotics and Computer-Integrated Manufacturing, International Journal of Manufacturing Research, and Journal of Manufacturing Systems. He has published 10 books and authored in excess of 680 scientific publications.

Professor Wang is a Fellow of Canadian Academy of Engineering, CIRP, SME and ASME, the President (2020-2021) of North American Manufacturing Research Institution of SME, and the Chairman (2018-2020) of Swedish Production Academy. In 2020, he was elected one of the 20 Most Influential Professors in Smart Manufacturing.

Prof. Noh, Sang Do

Professor, Department of Industrial Engineering,
Sungkyunkwan University

Title : Digital twin – a way from digitalization to industrial metaverse

Time : 10:00 ~ 10:15

Venue : NTU@Novena

Abstract 

Digital twin is one of the key technologies in smart manufacturing, extending from digitalization in manufacturing shop floor to industrial metaverse. It enables data-driven and efficient decision-making throughout entire product development and production. This presentation will provide an overview of the concept, structure, implementation methods and strategy of digital twin technology for achieving optimal design and autonomous operation of smart factories. Furthermore, it will introduce industrial case studies from various manufacturing companies.

Profile

Prof. Noh, Sang Do is a professor in the Department of Industrial Engineering and the Department of Systems Management Engineering at Sungkyunkwan University (SKKU). His major research areas are digital manufacturing and product lifecycle management, smart factory, cyber-physical production system, and digital twin.

He received the B.Sc. degree in Mechanical Engineering from KAIST, and M.Sc. and Ph.D. degrees in Mechanical Design and Production Engineering from Seoul National University. After graduation, prof. Noh served as a senior research engineer in Institute for Advanced Engineering, a visiting researcher in GM Global R&D Center, and a guest professor in Royal Institute of Technology (KTH) and Mälardalen University (MDH).

He has been carrying out various research and development with many manufacturing companies in diverse sectors, to implement and application of digital manufacturing, smart manufacturing and digital twin technology. Since 2020, prof. Noh has been in charge of the “BK21 FOUR Education and Research Group for Autonomous Smart Factory” by Ministry of Education. He is a former president of the Society for Computational Design and Engineering, and currently serves as vice president of the Korean Society of Industrial Engineers, and IFIP WG5.7, Advances in Production Management Systems. And, he is an outside director and a member of the board of directors of LG Innotek and Seoyon E-hwa.

Prof. Duck Young Kim

PhD – Professor, Director of Factory Intelligence Laboratory, Department of Industrial & Management Engineering
Pohang University of Science and Technology (POSTECH)

Profile

Duck Young Kim received the B.S. and M.S. degrees in industrial engineering from POSTECH, Pohang, South Korea, and the Ph.D. degree from the Department of Mechanical Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. He has solid industrial and academic experience as a Research Fellow with the DAEWOO Institute for Advanced Engineering, Yongin, South Korea, Warwick Manufacturing Group, Coventry, U.K., and the Swiss Federal Institute of Technology, Zürich, Switzerland. He was formerly an Associate Professor with the Department of Mechanical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea. He is currently a Full Professor with the Department of Industrial and Management Engineering, POSTECH.

His current research interests include:  AI-based failure diagnosis & prognosis methods for systems healthcare, autonomous & reconfigurable agent for smart factory, Manufacturing Execution Language for software-centric control programming, and AI-based manufacturing machine design. 

Prof. Young Jae Jang

Associate Professor, KAIST, Department of Industrial & Systems Engineering
CEO and co-founder, DAIM Research Corp

Profile

Young Jae Jang received his Ph.D. degree in mechanical engineering from the Massachusetts Institute of Technology (MIT) in 2007 and a double M.S. degree in mechanical engineering and operations research from MIT in 2001. He received a B.S. degree in aerospace engineering from Boston University in 1997.

He is currently an Associate Professor in the Industrial and Systems Engineering Department at the Korea Advanced Institute of Science and Technology (KAIST), South Korea. His research “AI based Smart Factory Solution,” was selected a Top-10 Research of KAIST 2019.

He is also the CEO and co-founder of DAIM Research Corp. The company’s research and software have been successfully implemented by major manufacturers such as Samsung Electronics, LG Electronics, SK On, and LG Energy Solutions, showcasing the practical impact of their innovative work.

His active contribution to the academic community extends to editorial duties for prestigious journals such as IEEE Transactions on Automation Science and Engineering and Computers and Industrial Engineering Journal. With his blend of academia and industry expertise, Dr. Jang continues to drive the future of automated manufacturing.

Prof. Jumyung UM

PhD - Associate professor, Dept. of Industrial & Management System Engineering,
Graduate school of Artificial Intelligence, Kyung Hee University(KHU)

Profile

In 2012, Jumyung had received his PhD dgree from POSTECH in South Korea and served as a postdoc researcher in EPFL Switzerland. His research works were EU FP7 projects collaborated with Jaguar/Landrover and AIRBUS in terms of remote laser welding and ISO standard manufacturing information pipeline.

 

Since 2014, He was a research associate of Distributed Information Automation Laboratory in University of Cambridge UK, conducted an industrial project to develop agent-based shopfloor control using AutoID system for interial responsibility center of US Boeing in order to cope with lean and resilient production control.

Before joining KHU, he was a senior researcher of SmartFactoryKL in Germany since 2016. SmartFactoryKL is established by Prof. Detlef Zuelhke and a first piorneer of Industry 4.0 in Germany. Jumyung served as the main researcher of 8 EU Horizon2020 projects conducted with Volkwagen, SIEMENS, Volvo, Johndeere, other EU manufactuing companies.

Jumyung joined as a professor at Dept. of IME and AI schoole of Kyung Hee University in September 2018 and have carried out research projects with Hyundai Motors & WIA, SK Hynix, and DN solutions.

Prof. Jinkyoo Park

Department of Industrial & Systems Engineering
Korea Advanced Institute of Science and Technology (KAIST)

Profile

Jinkyoo Park is currently an associate professor of Industrial and Systems Engineering and adjoint professor of Graduate School of Artificial Intelligence at Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea. He received his B.S. degree in Civil and Architectural Engineering from Seoul National University in 2009, a M.S. degree in Civil, Architectural and Environmental Engineering from the University of Texas Austin in 2011, a M.S. degree in Electrical Engineering from Stanford University in 2015, and a Ph.D. degree in Civil and Environmental Engineering from Stanford University in 2016.

He is interested in “Decision-Centric ML,” where the operation research and AI research fields intersect and can be synergized to develop powerful decision-making algorithms for solving various real-world problems. He is also founder and CEO of AI startup, Omelet, providing AI foundation model for combinatorial optimization and scheduling problems for logistics and transpiration industries.

Dr YEO Zhiquan

Deputy Division Director of the Sustainability and Life Cycle Management Division
A*STAR SIMTech/ARTC

Profile

Dr. Yeo Zhiquan is the Deputy Division Director of the Sustainability and Life Cycle Management Division at A*STAR SIMTech/ARTC. Over the past thirteen years, he has been actively involved in industry and research projects that promotes industrial sustainability, ranging from Life Cycle Assessment (LCA) studies to data science applications for enabling industrial symbiosis and circular economy activities. Zhiquan is also involved in knowledge transfer activities to the industry through developing and conducting carbon footprint assessment courses. He is also one of the co-developers of SIMTech’s first carbon footprint assessment software tailored for industry users.

Zhiquan serves as the Convenor for the Working Group on Greenhouse Gas and Product Life Cycle Assessment, and the Co-Convenor for the Working Group on Environmentally Sustainable Organisation under the Singapore Standardisation Programme. He also previously served as the Singapore representative for the Sustainability Certification Scheme Evaluation Group supporting the Committee on Aviation Environmental Protection (CAEP) of the International Civil Aviation Organization (ICAO).

Prof. Nam-Joon Cho

Director Flagship Program (Industry), MRSS Professor,
School of Materials Science and Engineering
Nanyang Technological University (NTU)

Title : Preparing for Tomorrow with Materials Today

Time : 16:10 ~ 16:25

Venue : NTU@Novena

Abstract 

Throughout history, transformative technologies have often arisen from the introduction of innovative materials. Seven decades ago, a monumental shift from using bulk quartz sand to synthesizing pure semiconductors sparked a revolution in electronics, reshaping communications, computing, and transportation.

Today, propelled by the United Nations’ Sustainable Development Goals (SDGs), a new generation of materials is emerging. Derived from nature, these materials promise to alleviate environmental burdens, introduce novel functionalities, and challenge traditional material definitions.

The cross-economy concept, aligned with sustainability, supports materials innovation by transforming waste into high-value materials through innovative engineering and sustainable processing. This approach contrasts with circular economy recycling, aiming to create high-value products from waste rather than returning them to the original manufacturing process. Rooted in fundamental engineering principles, the cross-economy fosters the construction of harmonious ecosystems and networks.

At its core, the cross-dimensional technology, where waste and raw materials undergo sustainable processes to transform into high-value products with significant economic worth. Unlike traditional recycling, this approach doesn’t view waste as merely returning to its original manufacturing process but sees it as a platform for creating innovative materials. Drawing inspiration from agricultural innovation efforts, such as the Sixth Industrialization Plan, this approach aims to diversify economic sources by expanding into sustainable processing, thereby creating high-value products and fostering economic resilience.

Profile

Nam-Joon Cho is the MRS-Singapore Chair Professor in the School of Materials Science and Engineering at Nanyang Technological University in Singapore, where he is also the Director of flagship program (industry) in presidential office and the Centre for Cross Economy Global.

Dr. Cho initiated a new paradigm for sustainability called “Cross Economy” which designs to create new industrial opportunities through material innovation including using the wastes. It was initially adopted by the former president, Moon Jae-In for agricultural innovation in Korea. Moreover, it has triggered discussions for a new vision for post-UN SDG (2030 UN Sustainable Development Goals). He serves on various international organizations, government, and private foundation committees related to science and technology innovation and higher education policy.

In addition, he currently serves as President of the Korean Scientist and Engineers Association in Singapore, is a member of the National Academy of Engineering of Korea. Dr. Cho is a graduate of Stanford University and the University of California, Berkeley.

Assoc Prof. Seung Ki MOON

Associate Professor, Assistant Chair (Research), School of Mechanical and Aerospace Engineering
Nanyang Technological University (NTU)

Title 
Key Enabling Technologies for Smart Factory

Abstract 

The Industry 4.0 concept in the manufacturing sector covers a wide range of applications from product design to manufacturing. In particular, the industries also want to explore new technologies for digital manufacturing using Internet of Things (IoT), AI, and 3DP technologies. Especially, automakers have efforted on smart factories utilizing new manufacturing platforms with a cellular manufacturing system.

In this talk, I will introduce the emerging key smart technologies involving AI, data science, digital twins, 3DP and robotics to support the digital manufacturing under Industry 4.0.  In this research, a five-level framework is proposed for the smart factory based on the essential keywords from the trend of each technology. Also, I will discuss how the technologies can contribute to develop smart products and operate the smart factory. Future research directions in the digital manufacturing technologies and limitations encountered in existing researches will also be discussed.

Profile

Dr. Moon is currently an associate professor (tenured) and assistant chair (research) in School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. He received his Ph.D. degree in Industrial Engineering from the Pennsylvania State University, USA, in 2008, his M.S. and B.S. degrees in Industrial Engineering from Hanyang University, South Korea, in 1995 and 1992, respectively.

He worked as a Senior Research Engineer at the Hyundai Motor Company, South Korea for eight years before embarking on his PhD degree. After completing his doctoral degree, he joined the Department of Mechanical Engineering, Texas A&M University for one year as a postdoctoral research associate. He served as a Chair in IEEE Technology Engineering Management (TEM) Singapore Chapter Executive Committee and a Chair in ASME IDETC and CIE Conference, Advanced Modeling and Simulation (AMS) Technical Committee. He has served as committee member in various professional organizations such as IEEE, ASME, Design Society, international conferences and workshops. He is a Chair in Modular Design Research Association.  He is an editor of International Journal of Precision Engineering and Manufacturing – Smart Technology, an associate editor of Journal of Engineering Design, Journal of Computational Design and Engineering, European Journal of Industrial Engineering, and an editorial board member of the International Journal of Precision Engineering and Manufacturing – Green Technology, and Smart Science. He was recognized in the top 2% of scientists worldwide by Stanford University in 2023.

He is interested in the boundary-spanning research that integrates the knowledge of design, engineering, and economics. His current focuses include applying sciences,  economic theory, and AI to the design of customized and sustainable products, services and systems, strategic and multidisciplinary design optimization, advanced modeling and simulation, design for additive manufacturing/3D printing, embedded sensor design for 3D Printing, digital twins, smart factory and digital manufacturing for supply chains.

Prof. Chen I-Ming

Professor, School of Mechanical & Aerospace Engineering
Director, Intelligent Systems Centre, School of Mechanical and Aerospace Engineering (MAE)

Profile

Dr. Chen, Fellow of IEEE (Class of 2012) and Fellow of ASME, has been with the School of Mechanical and Aerospace Engineering of Nanyang Technological University in Singapore since 1995. He is currently Co-Director of CARTIN, and Director of Robotics Research Center from 2014 to 2017, Director of Intelligent Systems Center from 2006 to 2016. He was JSPS Visiting Scholar in Kyoto University in 1999 and Tokyo University in 2009, Visiting Scholar in the Department of Mechanical Engineering of MIT in 2004, and Fellow of Singapore-MIT Alliance under Innovation in Manufacturing Systems and Technology (IMST) Program (2002-2007).

His research interests are in construction and logistics robots, wearable sensors, human-robot interaction, and reconfigurable automation.

He is Editor-in-chief of IEEE/ASME Transactions on Mechatronics from 2020 to 2022, and also General Chairman of IEEE ICRA 2017 in Singapore (May 8-12, 2017). He co-founded two robotics companies: Transformal Robotics and Hand Plus Robotics.

Assoc Prof. Yap Kim Hui

Associate Professor, School of Electrical & Electronic Engineering

Title : Human-centred perception and analytics in industrial AI

Time : 14:15 ~ 14:30

Venue : NTU@Novena

Abstract 

Humans are crucial in many industrial applications and tasks. Their behavior, performance, and interactions directly impact the efficiency in many industrial processes. In recent years, AI has been increasingly deployed to perform perception, understanding, and analysis of human actions within these processes. This talk will focus on how AI can be used to understand and analyze the human actions to improve the effectiveness of work process. It will also highlight the challenges and discuss some key tasks in human-centred perception and analytics in industrial AI. Additionally, some selected use cases will be discussed to illustrate the key enabling technologies and emerging trends in this domain.

Profile

Dr. Yap received the Bachelor Degree of Electrical Engineering (University Medal Winner and First Class Honors) from the University of Sydney, Australia, in 1998, and Ph.D. degree from the same university in 2002. Since then, he has been working as an Assistant Professor in Nanyang Technological University (NTU), Singapore.

His main research interests are image/video processing, media content analysis, computer vision, human-computer interaction, and computational intelligence. As the Group Leader in Content-Based Analysis in the Center for Signal Processing, NTU, he has worked on many projects encompassing image/video content analysis and understanding, media indexing and retrieval, and image processing and computer vision. He has a good track record of publications, with close to 50 articles in various well-known international peer-reviewed journals, conference proceedings and book chapters. He has also edited a book entitled “Intelligent Multimedia Processing with Soft Computing” published by Springer-Verlag in 2005.

Dr. Wang Wei

Coordinating Director, R&D Divisions

Profile

Dr Wang Wei is currently the Coordinating Director for R&D Divisions at A*STAR Singapore Institute of Manufacturing Technology (SIMTech). He is responsible to develop and drive R&D strategy planning and technical execution to deliver advanced manufacturing solutions with industry partners. Prior to his current role, he led quite a few A*STAR key initiatives, including A*STAR’s Model Factory for Industry 4.0 implementation, Supply Chain 4.0 programme to build up Supply Chain resilience through the adoption of digital and automation solutions, Smart Manufacturing Joint Lab to accelerate the development of automatic, digital and adaptive manufacturing solutions for aerospace industry.  

 

David Low

CEO
Advanced Remanufacturing Technology Centre (ARTC), A*STAR

Profile

Dr David Low is the CEO of the Advanced Remanufacturing and Technology Centre (ARTC) of the Agency for Science, Technology and Research (A*STAR) in Singapore.

The ARTC is a contemporary public-private partnership to translate research to industry application. The ARTC is led by A*STAR in partnership with the Nanyang Technological University (NTU). Currently the ARTC works with 58 industry members to develop advanced remanufacturing and manufacturing capabilities. The industry members include 3M, ABB, Barnes Aerospace, EOS, IHI, Rolls-Royce, National Instruments, SAESL, Siemens, SKF, Trumpf and Zeiss and many more.

David was previously the Chief of Manufacturing Technology – Singapore and Head of Process Technology Research Centre at Rolls-Royce, where he was responsible for developing advanced manufacturing technology and processes to be deployed at Rolls-Royce manufacturing and repair facilities globally. David was attached in 8 Rolls-Royce global manufacturing & R&D facilities in the UK, US, Singapore and Germany from 2007 to 2009.

Prior to joining Rolls-Royce, David researched in the field of laser materials processing (laser percussion drilling, laser ablation and femtosecond laser fabrication) since 1998, during which he conducted industrial research for many companies and published over 50 journal, conference, patent and book publications.

David received his PhD and Bachelor degree (1st class) in Mechanical Engineering from the University Of Manchester Institute Of Technology (UMIST), which is now known as The University of Manchester. He received his Executive MBA from INSEAD and Tsinghua University.

David is a Fellow and Chartered Engineer of the Institution of Mechanical Engineers (IMechE) and a Senior Member of The Institution of Engineers Singapore (IES).