معرفی
Nur Ahmed is an Assistant Professor at the Walton College of Business, University of Arkansas, and a Digital Fellow at MIT Sloan and MIT CSAIL. His research focuses on the intersection of innovation, artificial intelligence (AI), and responsible AI, examining how firms balance knowledge spillovers and resource acquisition to maintain competitive advantage.
His work employs big data, machine learning (including NLP methods like word embeddings and transformers), and qualitative interviews to build testable models for managerial and policy decision-making. Prior to academia, he worked as a Software Engineer at Samsung R&D Lab in Bangladesh, India, and South Korea, informing his research on corporate R&D and technological dynamics.
His publications span top-tier journals like Science and Strategic Management Journal, with working papers recognized at conferences including SMS, EGOS, and AMCIS. His research has been cited in prestigious AI reports such as the National Security Commission on Artificial Intelligence and the Stanford AI Index. Media outlets like the Financial Times, Nature, and The New York Times have covered his work.
- Best PhD Paper Prize (nominated, SMS)
- Max Boisot Award (finalist, EGOS)
- Best Paper in Strategy (won, AMCIS)
- Honorable Mention (ASAC)
- Best Paper Award (Israel Strategy Conference, finalist)
Awardee of multiple grants and scholarships, including the Plan for Excellence Doctoral Fellowship (Ivey Business School) and Maurice Young Centre Travel Grant (UBC). He co-organizes professional development workshops at AOM and SMS conferences, including panels on machine learning in management research and corporate R&D disclosure strategies.
