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.

PROFESSOR DR. MING-KIM LIM

Visiting Professor, UKM-Graduate School of Business
(15 December 2022 – 14 December 2023)
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. Shi, Y., Lin, Y., Wang, S., Wen, H., Lim, M. K. and Tseng, M.-L. (2023) Resource saving and carbon footprint reduction potential of urban symbiosis strategy in express packaging waste recycling network. Waste Management, 161, pp. 17-28.
  2. Negash, Y. T., Hassan, A. M., Tseng, M.-L., Ali, M. H. and Lim, M. K. (2023) Developing a hierarchical framework for assessing the strategic effectiveness of sustainable waste management in the Somaliland construction industry. Environmental Science and Pollution Research, (Accepted for Publication)
  3. Li, J.-R., Li, H.-Y., Lim, M. K., Chiu, A. S.F. and Tseng, M.-L. (2023) Improved artificial jellyfish search algorithm: virtual synchronous generator control strategy. Engineering Optimization, (Accepted for Publication)
  4. Liu, J., Xia, S., Wang, Z., Nie, J., Ameen, N., Yan, C. and Lim, M. K. (2023) How to balance economic profits and environmental protection: the impacts of cash hedging on remanufacturing firms. International Journal of Production Economics, 258, 108783.
  5. Gani, A. B. D., Fernando, Y., Lan, S., Lim, M. K. and Tseng, M.-L. (2023) Interplay between cyber supply chain risk management practices and cyber security performance. Industrial Management and Data Systems, 123(3), pp. 843-861.
  6. Wang, C., Sun, Y., Lim, M. K., Ghadimi, P. and Azadnia, A. H. (2023) An analysis of barriers for successful implementation of municipal solid waste management in Beijing: an integrated DEMATEL-MMDE-ISM approach. Industrial Management and Data Systems, 123(3), pp. 931-966.
  7. Bui, T.-D., Tseng, J.-W., Tseng, M.-L., Wu, K.-J. and Lim, M. K. (2023) Municipal solid waste management technological barriers: a hierarchical structure approach in Taiwan. Resources, Conservation and Recycling, 190, 106842.
  8. Hu, X., Sun, B., Wang, C., Lim, M. K., Wang, P., Geng, X., Yao, C. and Chen, W.-Q. (2023) Impacts of China’s exports decline in rare earth primary materials from a trade network-based perspective. Resources Policy, 81, 103321.
  9. Hu, X., Wang, C., Lim, M. K., Chen, W.-Q., Teng, L., Wang, P., Wang, H., Zhang, C., Yao, C. and Ghadimi, P. (2023) Critical systemic risk sources in global lithium-ion battery supply networks: static and dynamic network perspectives. Renewable and Sustainable Energy Reviews, 173, 113083.
  10. Yang, M., Lim, M. K., Qu, Y., Li, X. and Ni, D. (2023) Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction. Expert Systems with Applications, 213(Part A), 118873.
  11. Ni, D., Lim, M. K., Li, X. and Yang, M. (2023) Monitoring corporate credit risk with multiple data sources. Industrial Management and Data Systems, 123(2), pp. 434-450.
  12. Hu, H., Xu, J., Liu, M. and Lim, M. K. (2023) Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning. Journal of Business Research, 156, 113480.
  13. Zhang, W., Lim, M. K., Yang, M., Li, X. and Ni, D. (2023) Using deep learning to interpolate the missing data in time-series for credit risks along supply chain. Industrial Management and Data Systems, (Accepted for Publication)
  14. Chen, L., Jiang, M., Li, T., Jia, F. and Lim, M. K. (2023) Supply chain learning and performance: a meta-analysis. International Journal of Operations and Production Management, (Early Online Publication)
  15. Chien, C.-F., Aviso, K., Tseng, M.-L., Fujii, M. and Lim, M. K. (2023) Solid waste management in emerging economies: opportunities and challenges for reuse and recycling. Resources, Conservation and Recycling, 18, 106635.
  16. Yang, M., Lim, M. K., Qu, Y., Ni, D. and Xia0, Z. (2023) Supply chain risk management with machine learning technology: a literature review and future research directions. Computers and Industrial Engineering, 175, 108859.
  17. Tseng, M.-L., Bui, T.-D., Lewi, S., Rizaldy, H., Lim, M. K. and Wu, K.-J. (2023) Causality sustainable supply chain management practices in the Indonesian coffee industry using qualitative information: digitalization integration leads performance improvement. International Journal of Logistics Research and Applications, (Early Online Publication)

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.