David Mendonça
	Email: mendod@rpi.edu Phone: (518) 276-4222 Fax: (518) 276-8227 Postal Address:     Industrial and Systems Engineering     Rensselaer Polytechnic Institute     CII 5111     110 8th St.     Troy, NY 12180 Fall 2010 Office Hours: TBD

Curriculum vitae (reasonably current as of January 2011). For copies of any of these papers, please send email to mendod@rpi.edu. (Links to papers coming soon.)

Openings for PhD Students
I am currently looking for PhD students, particularly those with undergraduate- and/or master's-level training in the following areas: cognitive science, computer science, industrial engineering.

Current PhD Students
James Brooks
Kevin Barry

Research Interests and Activities
Professor Mendonça's research centers on the study of the cognitive processes that underlie human decision making in the management of critical infrastructure systems with a focus on understanding and supporting decision making in high consequence, non-routine, time-pressured situations. He utilizes laboratory and field-based methods to collect data on the physical state of systems in the built environment, and the psychological state of humans operating in relation to those systems. His work has led to the development of statistical and computational models to explain decision maker behavior in the field and has translated these results into implications for practice and policy. He has pioneered new technologies providing cognitive support in solving sequential multi-criteria decisions for these constituents and developed novel statistical models that have explained variability in cognition, behavior and communication among individuals and collectives in the hours following disruptive events.

Teaching
Course Offering: Fall 2011
Human Performance Modeling and Support: Applications in Competitive Sport (ISYE-4961)
This course introduces methods, tools and technologies for describing human performance via various types of models, and supporting this performance via tools and advanced technologies. The course is hands-on, involving student projects that investigate human performance in challenging domains (e.g., competitive sports), as well as direct engagement with technology. A short promo on the course is here.