M. Ali Ülkü

M. Ali Ülkü is a Professor and Director of the Centre for Research in Sustainable Supply Chain Analytics at Dalhousie University's Faculty of Management, where he also serves as Acting Chair of the Management Science & Information Systems Department. He holds cross-appointments in the College of Sustainability, Department of Industrial Engineering, and School for Resource and Environmental Studies.

His educational background includes:

• PhD in Management Sciences (University of Waterloo)
• MSc in Operations Research (Çukurova University)
• BSc in Industrial Engineering (Bilkent University)

Dr. Ülkü's research centers on sustainable supply chain innovation, with expertise in circular economy logistics, humanitarian operations, and green marketing analytics. His interdisciplinary work applies big data methodologies to solve environmental challenges, emphasizing "the science and teaching of better" through student-led research initiatives.

Recent publications (2022-2023) reveal a strategic focus on climate-resilient supply chains, integrating machine learning for multimodal logistics optimization and game-theoretic models for green product development. Key themes include shipment consolidation techniques, physical internet applications, and subsidy-driven sustainability in duopolistic markets.

Notable recognitions include:

• A. Gordon Archibald Teaching Excellence Award (2023)
• Global Triple E Awardee (Education Champion) (2023)
• Research Star Award, Faculty of Management (2021)
• Distinguished Professor Award, IEOM Society (2019)
• Program Chair, Canadian OR Society Conference (2018)
• INFORMS Best Paper Award (runner-up, 2013)

An active educator, Dr. Ülkü teaches Supply Chain Planning (COMM 4520), Logistics Management (COMM 3507), and Operations Management (BUSI 5551), championing experiential learning through his research center. While specific grant details aren't documented, his award-winning publications indicate sustained funding for sustainability analytics projects.

He leads the Centre for Research in Sustainable Supply Chain Analytics, fostering cross-disciplinary collaboration on climate-adaptive logistics systems and sustainable consumption models through industry partnerships and policy-focused research.