Scott Buffett

Scott Buffett is an Adjunct Professor at the Faculty of Computer Science, University of New Brunswick, and an Associate Research Officer at the National Research Council Canada (NRC), working in the Learning and Collaborative Technologies Group under the Information and Communications Technology Portfolio. He holds a PhD in Computer Science from the University of New Brunswick (UNB). His primary research focus is on artificial intelligence, particularly multi-agent systems, preference elicitation, workflow/process mining, and social commerce. He has developed systems like OmniBid, which demonstrates mechanism design for automated negotiations that balance individual utility and societal welfare. His work extends to privacy in e-commerce, data mining, and machine learning.

Education: PhD (UNB), MSc in Automated Theorem Proving. Current teaching includes MBA courses in Production and Operations Management and Social Network Analysis. Past courses include Decision-Theoretic Agents and FORTRAN Programming. He supervises graduate students in preference modeling, negotiation systems, and workflow analytics. His research has been published extensively in conferences like CAI, ICEC, and journals like Electronic Commerce Research and Applications. He is active in collaborative technologies and data-driven process optimization.

Research Interests:

• Multi-Agent Systems: Negotiation mechanisms, utility theory, and societal welfare optimization.
• Preference Elicitation: Techniques for extracting user preferences with minimal intrusion, including Bayesian methods and clustering.
• Workflow Mining: Dynamic process modeling for real-time guidance in industries like manufacturing and energy.
• Social Commerce: Analyzing social network effects on commercial interactions using network analysis techniques.
• Privacy and Data Analytics: Frameworks for privacy compliance in collaborative environments and energy management systems.

Publications: Over 30 peer-reviewed articles, including work on automated negotiation, process mining theory, and preference network adaptation. Recent focus on dynamic process composition and socially aware commerce systems.