Michael Benisch COS PhD Student School of Computer Science Carnegie Mellon University	Academic Activities

Selected Publications:

• When Are Users Comfortable Sharing Lcoations with Advertisers?
  Patrick G. Kelley, Michael Benisch, Lorrie F. Cranor, and Norman Sadeh.
  Conference on Human Factors in Computing (CHI), 2011 (Note).
  Earlier version: CMU Technical Report CMU-ISR-10-126, 2010.


• Capturing Location-Privacy Preferences: Quantifying Accuracy and User-Burden Tradeoffs.
  Michael Benisch, Patrick G. Kelley, Norman Sadeh, Lorrie F. Cranor.
  Personal and Ubiquitous Computing (PUC), 2010.


• Algorithms for Closed Under Rational Behavior (CURB) Sets.
  Michael Benisch, George B. Davis, Tuomas Sandholm.
  Journal of Artificial Intelligence Research (JAIR), 2010.
  Earlier version: American Association of Artifical Intelligence Conference (AAAI), 2006 (Nominated for Best Paper).


• Methodology for Designing Reasonably Expressive Mechanisms with Application to Ad Auctions.
  Michael Benisch, Norman Sadeh, and Tuomas Sandholm.
  International Joint Conference on Artificial Intelligence (IJCAI), 2009.
  Earlier version: ACM EC Workshop on Advertisement Auctions, 2008.


• A Theory of Expressiveness in Mechanisms.
  Michael Benisch, Norman Sadeh, and Tuomas Sandholm.
  American Association of Artifical Intelligence Conference (AAAI), 2008.
  Extended version: CMU Technical Report CMU-CS-07-178, 2007.


• What Differentiates a Winning Agent: An Information Gain Based Analysis of TAC-SCM.
  James Andrews, Michael Benisch, Alberto Sardinha, and Norman Sadeh.
  Lecture Notes on Business Information Processing (LNBIP), 2008.
  Earlier version: AAAI Workshop on Trading Agent Design and Analysis (TADA), 2007.


• Factoring Games to Isolate Strategic Interactions.
  George B. Davis, Michael Benisch, Kathleen Carley, and Norman Sadeh.
  International Conference on Automated Agents and Multi-Agent Systems (AAMAS), 2007.
  Extended version: CMU Technical Report CMU-ISRI-06-121R, 2006.


• CMieux: Adaptive Strategies for Supply Chain Management.
  Michael Benisch, James Andrews, Alberto Sardinha, and Norman Sadeh.
  International Conference on Electronic Commerce (ICEC), 2006.
  Extended version. Electronic Commerce Research Applications, 2007.


• Pricing for Customers with Probabilistic Valuations as a Continuous Knapsack Problem.
  Michael Benisch, James Andrews, and Norman Sadeh.
  International Conference on Electronic Commerce (ICEC), 2006.


• Examining Distributed Constraint Satisfaction Problem (DCSP) Coordination Tradeoffs.
  Michael Benisch, and Norman Sadeh.
  International Conference on Automated Agents and Multi-Agent Systems (AAMAS), 2006.
  Extended version. DCSP Simulator Java Code (requires Repast)


• CMieux Analysis and Instrumentation Toolkit for TAC SCM. (get the toolkit here)
  Michael Benisch, James Andrews, David Bangerter, Timothy Kirchner, Benjamin Tsai, and Norman Sadeh
  CMU Technical Report CMU-ISRI-05-127, 2005.


• Effects of Mediator Selection Strategies for Distributed Constraint Satisfaction.
  Michael Benisch and Norman Sadeh.
  Workshop on Distributed Constraint Reasoning (DCR), 2005.


• A Stochastic Programming Approach to Scheduling in TAC SCM.
  Michael Benisch, Amy R. Greenwald, Victor Naroditskiy, and Michael Carl Tschantz.
  ACM Conference on Electronic Commerce (ACM EC), 2004.


• Botticelli: A Supply Chain Management Agent.
  Michael Benisch, Amy Greenwald, Ioanna Grypari, Roger Lederman, Victor Naroditskiy, and Michael Tschantz.
  International Conference on Automated Agents and Multi-Agent Systems (AAMAS), 2004.


• Multi-period Online Optimization in TAC SCM: The Supplier Offer Acceptance Problem.
  Sarah Bell, Michael Benisch, Margaret Benthall, Amy Greenwald, and Michael Carl Tschantz.
  Workshop on Trading Agent Design and Analysis (TADA), 2004.

Selected Awards:

• Siebel Scholar, Class of 2011.
  Awarded annually for academic excellence and demonstrated leadership to 80 top students from the world's leading graduate schools.


• Carnegie Mellon University Graduate Student Teaching Award, Honorable Mention, 2007.
  University-wide award given to encourage and recognize exemplary teaching by a graduate student.


• IBM PhD Fellowship, Finalist, 2007.
  A competitive program which honors exceptional PhD students in many academic diciplines and areas of study.

Teaching Assitant Positions:

• Graduate Artificial Intelligence.
  School of Computer Science, Carnegie Mellon University
  Professors: Geoff Gordon and Ziv Bar-Joseph. Fall, 2006.


• Introduction to Artificial Intelligence.
  Computer Science Department, Brown University
  Professor: Amy Greenwald. Spring, 2004.


• CS: An Integrated Introduction II.
  Computer Science Department, Brown University
  Professor: Philip Klein. Spring, 2003.


• CS: An Integrated Introduction I.
  Computer Science Department, Brown University
  Professor: John "Spike" Hughes. Fall, 2003.

Graduate Courses Taken:

• Intermediate Statistics, Fall 2006. Kathryn Roeder.
• Negotiation, Spring 2006. Linda Babcock.


• Dynamic Network Analysis, Spring 2006. Kathleen Carley.


• Foundations of Electronic Marketplaces, Fall 2005. Tuomas Sandholm.


• Graduate Artificial Intelligence, Spring 2005. Tuomas Sandholm and Mike Lewicki.
• Machine Learning, Spring 2005. Tom Mitchell and Carlos Guestrin.
• Fundamental Network Analysis Methods, (1/2 Semester) Spring 2005. David Krackhardt


• Algorithms in the Real World, Fall 2004. Guy Blelloch.
• COS Lab, Fall 2004. Latanya Sweeney.

*Privacy policy: this website does not collect any information whatsoever.