keynote speaker I


Prof. Chen-Fu Chien
National Tsing Hua University

TOPIC: Industry 3.5 and Blue Lakes Strategy for Sustainable Smart Manufacturing
Abstract: Focusing on the needs for sustainable migration in emerging countries, this study aims to propose Industry 3.5 as a hybrid strategy between the existing Industry 3.0 and to-be Industry 4.0 to address fundamental objectives for digital transformation and industrial migration. In addition, “Blue Lakes Strategy” is proposed for small and medium sized enterprises in emerging countries via simultaneously enhancing competitive advantages with core competence and focusing on niche markets and differentiation. Indeed, artificial intelligence and big data analytics can be employed as disruptive innovations under the existing infrastructure to address the needs. This speech uses a number of empirical studies to validate the proposed Industry 3.5 and Blue Lakes Strategy for sustainable manufacturing and circular economy. This talk will conclude with discussion of the implications of Industry 3.5 and Blue Lakes Strategy as effective alternatives to empower healthy business ecosystem with diversified small and medium sized enterprises in emerging countries for the ongoing industrial revolution.

BIO: Dr. Chen-Fu Chien is Tsinghua Chair Professor and Executive Vice President, National Tsing Hua University (NTHU), Hsinchu, Taiwan. He is now the President of Asia Pacific Industrial Engineering & Management Systems Society (APIEMS). Since 2018, he has been the Director of Artificial Intelligence for Intelligent Manufacturing Systems (AIMS) Research Center that is one of four national AI centers sponsored by National Science and Technology Council (NSTC), Taiwan. He is the founder and Director for Decision Analysis Laboratory (DALab), the NTHU-TSMC Center for Manufacturing Excellence, and the Zhen-Ding Tech & National Tsing Hua University Joint Research Center in Taiwan. He received B.S. with double majors in Industrial Engineering and Electrical Engineering with the Phi Tau Phi Honor from NTHU in 1990. He received M.S. in Industrial Engineering and Ph.D. of Decision Sciences and Operations Research at UW-Madison, in 1994 and 1996, respectively. He was a Fulbright Scholar in the Department of Industrial Engineering and Operations Research, UC Berkeley, from 2002 to 2003. From 2005 to 2008, he had been on-leave as the Deputy Director of Industrial Engineering Division in Taiwan Semiconductor Manufacturing Company (TSMC). He received the Executive Training of PCMPCL from Harvard Business School in 2007. He was a Visiting Professor in Institute for Manufacturing, Cambridge University (sponsored by Royal Society, UK), Visiting Professor in Beijing Tsinghua University (sponsored by Chinese Development Foundation), Visiting Professor in Waseda University (sponsored by Japan Interchange Association Young Scholar Fellowship), and Visiting Professor in Tianjin University and Zhejiang University, China.
His research efforts center on decision analysis, big data analytics, modeling and analysis for semiconductor manufacturing, manufacturing strategy, and manufacturing intelligence. Dr. Chien and his DALab Associates have conducted in-depth university-industry collaborative research projects with the leaders of different industrial segments to validate developed solutions and served as senior consultant for leading companies including TSMC, MediaTek, Delta, and AUO. Dr. Chien has received 12 USA invention patents on intelligent manufacturing and published 6 books, 12 case studies in Harvard Business School, and more than 220 journal papers with Google citation number over 10466 and H-index 51. He has been listed as world Top 2% Scientists. He has been invited to give keynote speech in various conferences including APIEMS, C&IE, FAIM, IEEE, IEEM, IML, ISMI, ISSM, leading universities and international companies worldwide. He is a Fellow of APIEMS, CIIE, and CSMOT. Dr. Chien received the National Quality Award, the Executive Yuan Award for Outstanding Science & Technology, three Distinguished Research Awards and Tier 1 Principal Investigator (Top 3%) from NSTC, Distinguished University-Industry Collaborative Research Award from the Ministry of Education, University Industrial Contribution Awards from the Ministry of Economic Affairs, the TECO Award, the 2011 Best Paper Award of IEEE Transactions on Automation Science and Engineering, and the 2015 Best Paper Award of IEEE Transactions on Semiconductor Manufacturing.

keynote speaker Ii

Prof. Tadashi Dohi
Hiroshima University

Abstract: Tab

BIO: Dr. Tadashi Dohi has served as a Full Professor at Hiroshima University, Japan, since 2002. He is currently appointed as Dean of School of Informatics and Data Science and Associate Dean of Graduate School of Advanced Science and Engineering, Hiroshima University. He received a Doctor of Engineering degree from Hiroshima University in 1995. His research interests include Software Reliability, Dependable Computing, Performance Evaluation, Operations Research. To date, his research has led to 260 journal papers, 320 peer-reviewed conference papers, 25 book editions, and 40 book chapters in the above research fields. Dr. Dohi is a Regular Member of the Institute of Electronics, Information and Communication Engineering (IEICE), Information Processing Society of Japan (IPSJ), Reliability Engineering Association of Japan (REAJ), a Fellow Member of the Operations Research Society of Japan (ORSJ), and a Senior Member of IEEE (Computer Society and Reliability Society). He was acting President of REAJ in 2018 and 2019. He has served as the General Chair of 15 international conferences, including ISSRE 2011, ATC 2012, DASC 2019, and ICECCS 2022. Of note, he was a founding member of the International Symposium on Advanced Reliability and Maintenance Modeling (APARM) and International Workshop on Software Aging and Rejuvenation (WoSAR). He has been a steering committee member in AIWARM/APARM, ISSRE, DASC, DSA. He has worked as a program committee member in several international premier conferences such as DSN, ISSRE, COMPSAC, SRDS, QRS, EDCC, PRDC, HASE, SAC, ICPE, among numerous others. He is an Associate Editor/Editorial Board Member of over 20 international journals, including IEEE Transactions on Reliability, Asia-Pacific Journal of Operational Research, and Journal of Risk and Reliability.

keynote speaker IiI

Prof. Chul Ung Lee
Korea University

TOPIC: Patent Data Analytics with AI for Innovation Management
Abstract: Intelligence (AI) in Patent Data Analytics has been on the pivotal role for Innovation Management. It underscores the significance of AI in extracting valuable insights from patent data, which is essential for effective innovation management. In this talk, we delve into a research study that employs data analytics techniques to identify key technology trends in the transportation and logistics sectors, by utilizing a combination of Latent Dirichlet Allocation (LDA) topic modeling, N-gram language models, and time series analysis for a thorough examination of patent data. The objective is to offer valuable guidance for navigating technological competitive dynamics, spotting innovation opportunities, and shaping Research and Development (R&D) strategies in these sectors. The presentation also discusses published research papers on the integration of Intellectual Property analysis with AI. Current research efforts are aimed at evaluating technology novelty based on Natural Language Processing (NLP) analysis coupled with Intellectual Property and Big Data. The presentation concludes with a discussion on the use of BERT-based NLP models to classify an optimal number of International Patent Classification (IPC) codes and extract core keywords of patent documents, and the use of GPT-based large language models to optimize various technical documents by summarizing and analyzing their key points.:
§ LDA, N-GRAM based trend analysis and prediction
§ Utilize Natural Language Model to analysis Intellectual Property Data such as Patent documents and focused on Big Data based Intellectual Property dataset.
§ Prompted based GPT utilization for innovation management

BIO: Chulung Lee is a full professor of Industrial and Management Engineering and the current department head of the Intellectual Property Management department at Korea University. He achieved his B.S and M.S degrees from Seoul National University, before earning his Ph.D. at Pennsylvania State University in the United States. His global academic journey includes a research associate stint at the University of Waterloo in Canada and a professorship at the National University of Singapore. He joined Korea University and has since made significant contributions to the fields of Logistics and Supply Chain Management Research, serving as the president of the Logistics and Supply Chain Research Council and the Smart Supply Chain Management Society. His current research partnerships span across the globe, including the University of British Columbia and the National University of Singapore, focusing on Air Transportation and Logistics, and Maritime Transportation and Logistics, respectively. Professor Lee has an impressive publication record, with over 100 peer-reviewed papers in SCI/SSCI indexed international journals. His influence extends to the corporate world as well, collaborating with industry giants such as Samsung, LG, Hanjin, and the Incheon International Airport Corporation. In addition to his extensive work in logistics and supply chain management, Professor Lee has made significant strides in the field of the Intellectual Property (IP) and Innovation Management with Data Analytics. His current research aims to evaluate technology which concludes technology novelty, originality, and innovation by using Natural Language Processing (NLP) analysis in conjunction with IP and Big Data. He employs NLP models such as BERT, ELECTRA, and many other pretrained language models to classify IPC codes optimally and extract core keywords from patent documents. Furthermore, he uses GPT-based large language models to optimize technical documents by summarizing and analyzing their key points. Professor Lee's works in research and education has earned him the president-elect position of the Korea Intellectual Property Education and Research Society and the Korean Society for SCM. His multidisciplinary approach to research and his commitment to advancing knowledge in his fields of interests make him a distinguished figure in academia.


keynote speaker IV

Prof. Yi-Kuei Lin
National Yang Ming Chiao Tung University

Abstract: TAB

Bio: Yi-Kuei Lin is currently a Chair Professor of Industrial Engineering and Management Department/ Electronics and Electrical Engineering Department/ Communications Engineering Institute, National Yang Ming Chiao Tung University, Taiwan. He is currently the Convener of Industrial Engineering and Management Program, National Science and Technology Council (NSTC), Taiwan since 2023. He was the President of the Operations Research Society of Taiwan during 2018 and 2019. He received a Bachelor degree in Applied Mathematics Department from National Chiao Tung University, Taiwan. He obtained his Master degree and Ph.D. degree in the Department of Industrial Engineering and Engineering Management at National Tsing Hua University, Taiwan. He has the honor to get the Distinguished Research Awards from NSTC of Taiwan in 2008, 2010 and 2013, respectively. He also got the Fellow honor from the Chinese Institute of Industrial Engineering in 2021, and the Distinguished Research Fellow. He served as Dean, College of Management at Vanung University from 2003 to 2007, and Chairman, Department of Industrial Management at National Taiwan University of Science and Technology from 2012 to 2014. He is now serving as Associate Editor of IEEE Transactions on Reliability, Annals of Operations Research, and Quality Technology & Quantitative Management. His research interest includes performance evaluation, network reliability, operations research, and telecommunication management. He has published more than 200 papers in SCI/SSCI indexed journals