VISITING PROFESSOR

Areas of research and consultancy:
Energy efficiency and management; supply chain management; multi-attribute decision-making; fuzzy set theory and optimization; sustainable supply chain management; corporate sustainability; operations management; soft computing

PROFESSOR DR. MING-LANG TSENG

Visiting Professor, UKM-Graduate School of Business
(15 December 2022 – 27 December 2024)
Chair Professor, Department of Business Administration
Director, Institute of Innovation and Circular Economy
Asia University, Taichung, Taiwan
Consultant, Department of Medical Research, China Medical University Hospital,
China Medical University Hospital, Taichung, Taiwan

Professional Experience
Editor-in-chief of Journal of Industrial and Production Engineering (JIF=4.5; CiteScore=7.5), currently. Guest editor for several well-known journals such as Elsevier, Springer and Emerald (2013-2024). Director of the Center for Innovation and Circular Economy at Asia University (University Center), consultant to the Medical Research Department of China Medical University Hospital, Chairman of the Chinese Institute of Innovation Management Development (CIIMD), Vice President of the International Society for Business Innovation and Technology Management (ISBITM), and many others Director of an international academic organization (APIEMS and IFPR Asia Pacific Chapter).

Honors & Awards
2019/2020/2021/2022 Top 2% Scientist in the World, Stanford University Report Research.com Ranking Top Researcher in Taiwan/World (Business Management Field- Taiwan ranking #3, world ranking #224; Engineering & Technology Field- Taiwan ranking #8, world ranking #1115) 2023 AD scientific index: Business & Management Ranking #1 in Taiwan.

Recent Research

  1. Li, L., Fan, DX., Wu, KJ., Sethana, K., Tseng, ML. (2024). Multi-objective distributed generation hierarchical optimal planning in distribution network: improved beluga whale optimization algorithm. Expert Systems with Applications 231(A), 121406 (SCI, IF:8.5)
  2. Wu, KJ., Qiu, H., Huang, C., Chiu, ASF., Tseng, ML.* (2024). Government resource allocation practices toward carbon neutrality in China: a hybrid system approach. Resources Conservation and Recycling 200, 107296 (SCI, IF: 13)
  3. Bui, TD., Ha, HM., Tran, TPT., Tseng, ML* (2024). Total resource management towards carbon neutrality in Vietnam construction industry: A hierarchical model approach. Resources Conservation and Recycling 201, 107338 (SCI) NSTC 111-2221-E-468-008-MY3)
  4. Li, L., Qu, LN., Tseng, ML., Lim, MK., Ren, XY., Miao, Y. (2024). Optimization and performance assessment of solar-assisted combined cooling, heating and power system systems: Multiobjective gradient-based optimizer. Energy 289, 129784 (SCI)
  5. Li, L., Ji, BX., Lim, MK., Tseng, ML* (2024). Active distribution network operational optimization problem: A multi-objective tuna swarm optimization model. Applied Soft Computing 150, 111087 (SCI)
  6. Abdul-Hamid, A. Q., Ali, MH., Osman, LH., Tseng, ML*. Omar, ARC. (2024). An Industry 4.0 Adoption in the circular economy application hierarchical model: Driver, enable and barrier aspects. Industrial Management and Data Systems 124(1), 386-415 (SCI)
  7. Wang, X., Zhang, L., Zhang, Y., Fei, T., Tseng, ML.* (2024). Environmental Cold Chain Distribution Center Location Model in the Semiconductor Supply Chain: A Hybrid Arithmetic Whale Optimization Algorithm. Computers and Industrial Engineering 187, 109773 (SCI)
  8. Bui, TD., Nguyen, TTY., Wu, KJ., Lim, MK., Tseng, ML* (2024). Green manufacturing performance improvement under uncertainties: An interrelationship hierarchical model. International Journal of Production Economics 268, 109117 NSTC 111-2221-E-468 -008 -MY3) (SCI)
  9. Sriprateep, K., Sala-Ngamand, S., Khonjun, S., Tseng, ML., Srichok, T., Nanthasamroeng, N., Pitakaso, P., Butploy, N. (2024). Heterogeneous Ensemble Machine Learning to Predict the Asiaticoside Concentration in Centella asiatica Urban. Intelligent Systems with Applications 21, 200319
  10. Li, L., Miao, Y., Lim, M., Tseng, ML.*(2024) Integrated energy system for low-carbon economic operation optimization: Pareto compromise programming and master-slave game. Renewable Energy 222, 119946 (SCI)
  11. Hung, J., Li, Q., Guan, X.*, Tseng, ML.* (2024). A deep convolutional neural network for the automatic segmentation of glioblastoma brain tumor: Joint spatial pyramid module and Attention mechanism network. Artificial Intelligence in Medicine 148, 102776 (SCI, IF: 7.5)
  12. Wu, KJ., Fu, M., Ali, MH., Lim, MK., Tseng, ML.* (2024). Bridging the sustainable circular economy in cosmetic cross-supply chain practices under uncertainties: A data-driven influential model. Journal of Cleaner Production 436, 140438 (SCI, IF:11)
  13. Tseng, ML., Tran, TPT*., Fujii, M., Lim, MK, Timarat, Y (2024). Modelling hierarchical circular supply chain management enablers in the seafood processing industry in Vietnam under uncertainties. International Journal of Logistics Research and Applications 27(1), 30-58 109- 2622-E-468 -002 – (SSCI, IF:6.6)
  14. Tseng, ML., Chien, CF., Aviso, K., Hieo, HM. (2024). Industry 3.5 for sustainable supply chain management: challenges and foresight. International Journal of Logistics Research and Applications 27(2), 217-220 (SSCI)
  15. Tseng, ML., Wu, KJ., Chien, CF., Ali, MH. (2024). Circular Supply Chain Practices: Challenges, Innovation and Development. International Journal of Logistics Research and Applications 27 (1), 1-5(SSCI)
  16. Fu, C., Lv, Q., Tseng, ML.*, Wu, X., Lim, MK (2024). A polynomial scale transformation and improved wiener process for a novel lithium-ion battery performance degradation model: Remaining useful life performance. Journal of Ambient Intelligence and Humanized Computing15, 187-196 (SCI, IF:6.163)
  17. Kurrahman, T.,Tsai, FM., Jeng, SY., Chiu, ASF., Wu, KJ., Tseng, ML.* (2024). Sustainable development performance in the semiconductor industry: A data-driven practical guide to strategic roadmapping. Journal of Cleaner Production 445, 141207 (SCI) NSTC 111-2221-E-468-008 -MY3)

Areas of research and consultancy:
Technology-driven: Radio-frequency identification (RFID) technology, Internet of Things, Industry 4.0, Blockchain, cloud manufacturing, big data analytics and AI/machine learning. Sustainable/Circular supply chain management & low carbon logistics: Green logistics, sustainable supply chain management, low carbon initiatives (net zero/carbon neutral), circular economy and sharing economy. Lean and agile principles: Lean logistics, agile manufacturing, operations analytics, cost & system optimisation, meta heuristics, and system modelling.mith Business School, University of Glasgow.

PROFESSOR DR. MING-KIM LIM

Visiting Professor, UKM-Graduate School of Business
(15 December 2022 – 27 December 2024)
Professor of Supply Chain Management and Digitalisation (Management)
Adam Smith Business School, University of Glasgow

Professional Experience
Editor-in-Chief of International Journal of Logistics Research and Applications (Taylor & Francis) and Editor-in-Chief of International Journal of Supply Chain and Operations Resilience (Inderscience); Chairman of European Business Innovation and Technology Management Society, Advisory Council Member and Board of Trustees of the Asia Pacific Business Innovation and Technology Management Society, Member of International Federation for Information Processing WG 5.7, and Senior Member of International Engineering and Technology Institute. Editorial Board, Resources, Conservation and Recycling (Elsevier); Editorial Board, Industrial Management & Data Systems (Emerald); Editorial Board, Management of Environmental Quality: An International Journal (Emerald); Annual Reviewer Awards 2020; Elsevier – International Journals of Production Economics; Editorial Board, Journal of International Logistics and Trade; Associate Editor, Progress in Business Innovation and Technology Management; Editorial Board, International Journal of Big Data Mining for Global Warming; Editorial Board, International Journal of Sustainability Research; Editorial Board, Operations and Supply Chain Management: An International Journal (OSCM); Editorial Board, Artificial Intelligence Research; Book Editor: “Bidding: Types, Strategies and the Impact of Irrationality” Nova Publishers.

Recent Research

  1. Feng Ming Tsai, Taufik Kurrahman, Anthony SF Chiu, Shu-Kai Fan, Ming K. Lim & Ming-Lang Tseng (2024). Optimization techniques for green supply chain practice challenges: A systematic hybrid approach. Engineering Optimization, In print.
  2. Chao Wang, Hua Yang, Xiaoqian Hu, Xijun He, Junge Liu, Chen Liang & Ming K. Lim (2024). Deciphering iron ore trade dynamics: Supply disruption risk propagation in global networks through an improved cascading failure model. Resources Policy, in print.
  3. Weihua Liu, Chaolun Yuan, Jingkun Wang, Ming K Lim & Jiahe Hou (2024). Digital Supply ChainAnnouncements and Corporate Stock Market Value: An Empirical Study from China. Transportation Research Part E, in print.
  4. Weihua Liu, Yujie Wang, Qi Wang, Ming K Limb & Xiaoran Shia (2024). Logistics and Supply Chain Management in the Belt and Road Initiative: Research Opportunities and future International Journal of Logistics Research and Applications, in print.
  5. Chao Wang, Hua Yang, Xiaoqian Hu, Xijun He, Junge Liu, Chen Liang & Ming K. Lim (2024). Deciphering iron ore trade dynamics: Supply disruption risk propagation in global networks through an improved cascading failure model. Resources Policy, in print. Glasgow
  6. Guo Chen, Ming K Lim, WeeMeng Yeo & Ming-Lang Tseng (2024). Net Zero Carbon Neutrality: Supply Chain Management Challenges and Future Research Agenda. International Journal of Logistics Research and Applications, in print.
  7. Jiayao, Hu, Sir Yee Lee & Ming K. Lim (2024). Revisiting Circular Economy Indicators: A Circular Supply Chain Journal of Purchasing and Supply Management, in print.
  8. Jianxin Wang Ming K Lim & Weihua Liu (2024). Promoting intelligent IoT-driven logistics through integrating dynamic demand and sustainable logistics Transportation Research Part E, 185, 103539.
  9. Tat-Dat Bui, Felix T. S. Chan, Thi-Thuy-Trang Do, Thi-Ngoc-Linh Nguyen, Ming K. Lim & Ming- Lang Tseng (2024). Green supply chain finance model in logistics and transportation industry: Improving from policies and regulation and financial digitalization International Journal of Logistics Research and Applications, in print.
  10. Chen, Chin-Tsu, Chen, Shih-Chih, Khan, Asif, Lim, Ming K & Tseng, Ming- Lang (2024). Antecedents of big data analytics and artificial intelligence adoption on operational performance: The ChatGPT platform. Industrial Management & Data Systems, in print.
  11. Tat-Dat Bui, Tanawan Kumpimpa, Chun-Wei Remen Lin, Ming K. Lim & Ming Lang Tseng (2024). Assessing energy resilience under uncertainty in Taiwan: System response ability and energy sufficiency. Energy Strategy Reviews, in print.
  12. Weihua Liu, Yang He, Yanjie Liang & Ming K Lim (2024). A Theoretical Framework for Platform-to- Platform Cooperation: A Multi-case Study from China. International Journal of Physical Distribution & Logistics Management, 33(3), 1090-
  13. Mohammed Hammam Mohammed Al-Madani, Yudi Fernando, Mohammad Iranmanesh, Ming K. Lim & Ming-Lang Tseng (2024). Renewable Energy Supply Chain in Malaysia: Fostering Energy Management Practices and Ecological Performance. Renewable Energy, 226, 120441.
  14. Yan Li, Ming Lim, Ming-Lang Tseng, Yun Lin, Yuhe Shi, Xingjun Huang & Weiqing Xiong (2024). A literature review of green location routing problem: A comprehensive analysis of problem, objective and methodologies. International Journal of Logistics Research and Applications, in print.
  15. Fuli Zhou, Tianfu Chen & Ming Lim (2024). Strategic low-carbon technology supervision in the closed-loop supply chain: An evolutionary game approach. Journal of Cleaner Production, 450,141609.
  16. Chih-Cheng Chen, Faradilah Hanum, Tat-Dat Bui, Ming Lim & Ming- Lang Tseng (2024). Suboptimalfood products in Indonesia: A sustainable consumption behavior choice experiment and unveiling the attributes with a causality Annals of Operations Research, in print.
  17. Ling-Ling Li, Bing-Xiang Ji, Guan-Chen Liu, Jian-Ping Yuan, Shuan-Wei Tseng, Ming K. Lim & Ming- Lang Tseng (2024). Grid-connected multi-microgrid system operational scheduling optimization: A hierarchical improved marine predators algorithm. Energy, 294, 130905.

Areas of research and consultancy:
Marketing Analytics, Marketing Strategy, Business Analytics

Professor Dr. Ujwal Kayande

Visiting Professor, UKM Graduate Business School
(2 March 2020 - 1 March 2022)
Director of The Centre for Business Analytics, Melbourne Business School, University of Melbourne, Australia
  • Teaches marketing strategy and analytics on the MBA, Master of Business Analytics and Executive Education programs.
  • Co-director of the Digital Marketing & Analytics Executive Education Program jointly delivered by the University of Oxford and MBS.
  • Currently an Area Editor for the Intl. J. Res. Mktg. and serves on the Editorial Boards of the J. of Marketing Research and J. of Service Research.
  • Has held faculty positions at the Penn State University, ANU, UNSW, University of Pennsylvania and others.
  • Recipient numerous accolades for teaching excellence and his research has been awarded by the American Marketing Association (Lehmann Award), European Marketing Academy (IJRM Best Paper) and the Australia-NZ Marketing Academy (Distinguished Researcher).
  • A frequent media commentator in The Australian, Australian Financial Review, Daily Telegraph and other publications.
  • Consults globally on marketing strategy and analytics.
Most Notable Research
Significant Awards
  • Master of Business Analytics Teaching Excellence Award, 2017, Melbourne Business School.
  • Outstanding Reviewer Award, 2017, Journal of Marketing, American Marketing Association.
  • EMAC-IJRM Best Paper Award, 2015, European Marketing Academy.
  • Master of Business Analytics Teaching Excellence Award, 2015, Melbourne Business School.
  • Overall Best Paper Award, 2015, Australian-New Zealand Marketing Academy Conference, Sydney.
  • ERIM Top Article Award, 2015, Erasmus Research Institute of Management.
  • Smeal Award for MBA Teaching Excellence, 2010, Pennsylvania State University.
  • Distinguished Researcher Award, 2000, Australia-NZ Marketing Academy.
  • Donald Lehmann Award, 1998, American Marketing Association.