Publications

For a complete listing, please see my CV and for more context please see my Research Statement  I have provided links to as many of the publications as possible; some of the NASA related publications are not publicly available.  You can also check DLBP and Google Scholar.

Jump To: Book ChaptersDissertation, Journal PapersConference Proceedings, Workshop Papers, Seminars, Talks, and Poster Presentations, Patents and DisclosuresOther Technical Writing.

Book Chapters

  1. Value Alignment via Tractable Preference Distance. Andrea Loreggia, Nicholas Mattei, Francesca Rossi, and K. Brent Venable. Chapter 18, Artificial Intelligence Safety and Security, Eds. R. Yampolskiy. CRC Press, 2018. 

  2. A PrefLib.org Retrospective: Lessons Learned and New Directions. Nicholas Mattei and Toby Walsh. Chapter 15, Trends in Computational Social Choice, Eds. U. Endriss.  AI Access Foundation, 2017

Journal Papers

  1. How To Teach Computer Ethics with Science Fiction. Emanuelle Burton, Judy Goldsmith, Nicholas Mattei.  Communications of the ACM 61 (8), 2018.
  2. Uniform Random Generation and Dominance Testing for CP-nets. Thomas E. Allen, Judy Goldsmith, Hayden Elizabeth Justice, Nicholas Mattei, and Kayla Raines. Journal of Artificial Intelligence Research. Volume 59, 2017.
  3. Ethical Considerations in Artificial Intelligence Courses. Emanuelle Burton, Judy Goldsmith, Sven Koenig, Benjamin Kuipers, Nicholas Mattei, and Toby Walsh. AI Magazine. Volume 38, Number 2, 2017.
  4. A Study of Proxies for Shapley Allocations of Transport Costs. Haris Aziz, Casey Cahan, Charles Gretton, Phillip Kilby, Nicholas Mattei, and Toby Walsh.  Journal of Artificial Intelligence Research (JAIR). Volume 56, 2016.
  5. Analysis of Fixed and Biased Asset Allocation Rebalancing Strategies. Michael D. Mattei and Nicholas Mattei.  Managerial Finance, Volume 42, Issue 1, 2016.
  6. On the Complexity of Bribery and Manipulation in Tournaments with Uncertain Information. Nicholas Mattei, Judy Goldsmith, Andrew Klapper, and Martin Mundhenk. Journal of Applied Logic, Volume 13, Issue 4, 2015.
  7. Who Is Watching You Eat? Judy Goldsmith, Nicholas Mattei, and Robert H. Sloan. ACM:AI Matters, Volume 1, Issue 4, 2015.
  8. Science Fiction as an Introduction to AI Research. Judy Goldsmith and Nicholas Mattei. ACM Transactions on Computer Science Education (ACM: TOCE), Volume 14, Number 1, 2014.
  9. The Complexity of Probabilistic Lobbying. Daniel Binkele-Raible, Gábor Erdélyi, Henning Fernau, Judy Goldsmith, Nicholas Mattei, and Jörg Rothe. Discrete Optimization, Volume 11, Number 1, 2014.
  10. Bribery in Voting with CP-nets. Nicholas Mattei, Maria Silvia Pini, Francesca Rossi, and K. Brent Venable. Annals of Mathematics and Artificial Intelligence, Volume 68, Number 1-3, 2013.
  11. A Behavioral Perspective on Social Choice.  Anna Popova, Michel Regenwetter, and Nicholas Mattei. Annals of Mathematics and Artificial Intelligence, Volume 68, Number 1-3, 2013.
  12. An English-Language Argumentation Interface for Explanation Generation with Markov Decision Processes in the Domain of Academic Advising. Thomas Dodson, Nicholas Mattei, Joshua T. Guerin, and Judy Goldsmith. ACM Transactions on Intelligent Interactive Systems (ACM: TiiS), Volume 3, Issue 3, 2013.

Conferences Proceedings

  1. DeepAggregation: A New Approach for Aggregating Incomplete Ranked Lists using Multi-Layer Graph Embeddings. Rohith Dwarakanath Vallam, Ramasuri Narayanam, Srikanth G. Tamilselvam, Nicholas Mattei, Sudhanshu S. Singh, Shweta Garg, and Gyana R. Parija.  Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), May 2019.
  2. Building Ethically Bounded AI. Francesca Rossi and Nicholas Mattei.  Proceedings of the 33rd AAAI Conference on Artificial Intelligence, Blue Sky Track, Feb 2019.  Winner of the Blue Sky Award!
  3. On the Distance Between CP-nets. Andrea Loreggia, Nicholas Mattei, Francesca Rossi, K. Brent Venable. Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), June 2018.
  4. Preferences and Ethical Principles in Decision Making. Andrea Loreggia, Nicholas Mattei, Francesca Rossi, K. Brent Venable. Proceedings of the 1st ACM/AAAI Conference on AI, Ethics, and Society (AIES 2018), Feb 2018.
  5. Fairness in Deceased Organ Matching. Nicholas Mattei, Abdallah Saffidine, Toby Walsh. Proceedings of the 1st ACM/AAAI Conference on AI, Ethics, and Society (AIES 2018), Feb 2018.
  6. The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods. Jing Wu Lian, Nicholas Mattei, Renee Noble, and Toby Walsh.  Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), Feb. 2018.
  7. Mechanisms for Online Organ Matching. Nicholas Mattei, Abdallah Saffidine, Toby Walsh. Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), August 2017.
  8. Stable Matching with Uncertain Pairwise Preferences. Haris Aziz, Peter Biro, Tamas Fleiner, Serge Gaspers, Ronald de Haan, Nicholas Mattei, Baharak Rastegari. Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), May 2017.
  9. Stable Matching with Uncertain Linear Preferences. Haris Aziz, Peter Biro, Serge Gaspers, Ronald de Haan, Nicholas Mattei, Baharak Rastegari. 9th International Symposium on Algorithmic Game Theory (SAGT 2016), September 2016.
  10. Interdependent Scheduling Games. Andres Abeliuk, Haris Aziz, Gerardo Berbeglia, Serge Gaspers, Petr Kalina, Simon Mackenzie, Nicholas Mattei, Paul Stursberg, Pascal Van Hentenryck and Toby Walsh. 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), July 2016.
  11. Egalitarianism of Random Assignment Mechanisms. Haris Aziz, Jiashu Chen, Aris Filos-Ratsikas, Simon Mackenzie, and Nicholas Mattei. 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016, short paper), May 2016.
  12. Strategyproof Peer Selection: Mechanisms, Analyses, and Experiments. Haris Aziz, Omer Lev, Nicholas Mattei, Jeffery S. Rosenschein, and Toby Walsh. 30th AAAI Conference on Artificial Intelligence (AAAI 2016), Feb. 2016.
  13. Generating CP-nets Uniformly at Random. Thomas E. Allen, Judy Goldsmith, Hayden Elizabeth Justice, Nicholas Mattei, and Kayla Raines. 30th AAAI Conference on Artificial Intelligence (AAAI 2016), Feb. 2016. 
  14. Beyond Theory and Data in Preference Modeling: Bringing Humans into the Loop. Thomas E. Allen, Muye Chen, Judy Goldsmith, Nicholas Mattei, Anna Popova, Michel Regenwetter, Francesca Rossi and Christopher Zwilling. 3rd International Conference on Algorithmic Decision Theory (ADT 2015), Sept. 2015.
  15. Equilibria Under the Probabilistic Serial Rule. Haris Aziz, Serge Gaspers, Simon Mackenzie, Nicholas Mattei, Nina Narodytska, and Toby Walsh. 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), June 2015.
  16. Manipulating the Probabilistic Serial Rule. Haris Aziz, Serge Gaspers, Simon Mackenzie, Nicholas Mattei, Nina Narodytska, and Toby Walsh. 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), June 2015.
  17. Reasoning with PCP-nets in a Multi-Agent Context. Cristina Cornelio, Umberto Grandi, Judy Goldsmith, Nicholas Mattei, Francesca Rossi, and K. Brent Venable. 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), June 2015.
  18. Computational Aspects of Multi-Winner Approval Voting. Haris Aziz, Serge Gaspers, Joachim Gudmundsson, Simon Mackenzie, Nicholas Mattei, and Toby Walsh. 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), June 2015.
  19. How Hard Is It to Control an Election by Breaking Ties? Nicholas Mattei, Nina Narodytska, and Toby Walsh. 21st European Conference on Artificial Intelligence (ECAI 2014, short paper), August 2014.
  20. Voting with Rank Dependent Scoring Rules. Judy Goldsmith, Jerome Lang, Nicholas Mattei, and Patrice Perny. 28th AAAI Conference on Artificial Intelligence (AAAI 2014), July 2014 and 5th International Workshop on Computational Social Choice (COMSOC 2014), June 2014.
  21. Fixing a Balanced Knockout Tournament. Haris Aziz, Serge Gaspers, Simon Mackenzie, Nicholas Mattei, Paul Stursberg, and Toby Walsh. 28th AAAI Conference on Artificial Intelligence (AAAI 2014), July 2014.
  22. Lessons Learned from Development of a Software Tool to Support Academic Advising. Nicholas Mattei, Thomas Dodson, Joshua T. Guerin, Judy Goldsmith, and Joan M. Mazur. American Society for Engineering Education (ASEE) Zone 1 Conference, April, 2014. Finalist for Best Paper!
  23. Updates and Uncertainty in CP-Nets. Cristina Cornelio, Judy Goldsmith, Nicholas Mattei, Francesca Rossi, K. Brent Venable. 26th Australasian Joint Conference on Artificial Intelligence (AUAI 2013), December 2013. Finalist for Best Paper!
  24. PrefLib: A Library for Preferences. Nicholas Mattei and Toby Walsh. International Conference on Algorithmic Decision Theory (ADT 2013), November 2013.
  25. Ties Matter: Complexity of Manipulation when Tie-breaking with a Random Vote. Haris Aziz, Serge Gaspers, Nicholas Mattei , Nina Narodytska, and Toby Walsh. 27th AAAI Conference on Artificial Intelligence (AAAI 2013) , July 2013.
  26. On the Complexity of Bribery and Manipulation in Tournaments with Uncertain Information. Nicholas Mattei, Judy Goldsmith, and Andrew Klapper. 25th Florida Artificial Intelligence Research Society Conference (FLAIRS 2012), June 2012.  Best Student Paper Award!
  27. Bribery in Voting Over Combinatorial Domains Is Easy.  Nicholas Mattei, Maria Silvia Pini, Francesca Rossi, and K. Brent Venable. 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012, short paper), June 2012 and 12th International Symposium on Artificial Intelligence and Mathematics (ISAIM 2012) Special Session on Computational Social Choice, January 2012.
  28. Empirical Evaluation of Voting Rules with Strictly Ordered Preference Data. Nicholas Mattei.  2nd International Conference on Algorithmic Decision Theory (ADT 2011), October, 2011.
  29. A Natural Language Argumentation Interface for Explanation Generation in Markov Decision Processes.  Thomas Dodson, Nicholas Mattei, and Judy Goldsmith. 2nd International Conference on Algorithmic Decision Theory (ADT 2011), October, 2011.
  30. Science Fiction as an Introduction to AI Research.  Judy Goldsmith and Nicholas Mattei. 2nd Symposium on Educational Advances in Artificial Intelligence (EAAI 2011), August 2011.
  31. Decision Making Under Uncertainty: Social Choice and Manipulation. Nicholas Mattei. 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), July 2011 (extended abstract).
  32. The Complexity of Probabilistic Lobbying. Gábor Erdélyi, Henning Fernau, Judy Goldsmith, Nicholas Mattei, Daniel Raible and Jörg Rothe. 1st International Conference on Algorithmic Decision Theory (ADT 2009), October 2009.
  33. COTSAT: SmallSpacecraft Cost Optimization for Government and Commercial Use. Aaron Swank, Stevan Spremo, Nicholas Mattei, David Bui and Pete Klupar. AIAA SPACE 2009 Conference and Exposition, August 2009.
  34. Low Cost Rapid Response Spacecraft, (LCRSS): A Case Study in Small Satellite Cost Optimization for Government and Commercial Use. Jesse Bregman, Christopher Dallara, Shakib Ghassemieh, James Hanratty, Evan Jackson, Chris Kitts, Pete Klupar, Michael Lindsay, Ignacio Mas, Nicholas Mattei, David Mayer, Emmett Quigley, Mike Rasay, Aaron Swank, Adam Talcott, Jeroen Vandersteen, Zion Young. AIAA SPACE 2008 Conference and Exposition,  August 2008.

Refereed Workshops (not appearing elsewhere)

  1. An Axiomatic and Empirical Analysis of Mechanisms for Online Organ Matching. Nicholas Mattei, Abdallah Saffidine, Toby Walsh.  7th International Workshop on Computational Social Choice (COMSOC 2018), September 2018.
  2. Using The Machine Stop for Teaching Ethics in Artificial Intelligence and Computer Science. Emanuelle Burton, Judy Goldsmith, and Nicholas Mattei. 2nd International Workshop on AI and Ethics, AAAI 2016 Workshop Program, Feb. 2016.
  3. Teaching AI Ethics Using Science Fiction. Emanuelle Burton, Judy Goldsmith, and Nicholas Mattei.  1st International Workshop on AI and Ethics, AAAI 2015 Workshop Program. January 2015.
  4. Voting with CP-nets using a Probabilistic Preference Structure. Cristina Cornelio, Umberto Grandi, Judy Goldsmith, Nicholas Mattei, Francesca Rossi, and K. Brent Venable. 5th International Workshop on Computational Social Choice (COMSOC 2014), June 2014.
  5. ADT @ NICTA. Haris Aziz, Serge Gaspers, Nicholas Mattei , Nina Narodytska, and Toby Walsh. Video at the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), August 2013. Most Educational Video Award!
  6. An Empirical Study of Voting Rules and Manipulation with Large Datasets.  Nicholas Mattei, James Forshee, and Judy Goldsmith. 4th International Workshop on Computational Social Choice (COMSOC 2012), September 2012.
  7. The Academic Advising Planning Domain.  Joshua Guerin, Josiah Hanna, Libby Knouse, Nicholas Mattei and Judy Goldsmith. 3rd ICAPS International Planning Competition Workshop, June 2012.
  8. Nanosatellite Payload Software: Managing Full Space Science Missions. Shakib Ghassemieh, Nicholas Mattei, Gregory Defouw, Michael J. McIntyre, and Millan Diaz-Aguado.  Small Satellite Systems and Services Symposium, June 2010.
  9. COTSAT-1: Cost Optimization and Technology Enablement on a Small Spacecraft Platform. Michael C. Lindsay, Peter Klupar, Stevan Spremo, Aaron Swank, David Bui, Evan Jackson, Nicholas Mattei, David Mayer, Emmett Quigley, Zion Young.
    • NATO Research and Technology Organisation Conference: RTO-MP-AVT-171 Multifunctional Structures and System Technologies for Small Spacecraft, May 2010.
    • Small Satellite Systems and Services Symposium, June 2010.

Dissertation

Invited Seminars and Talks

  1. Theory and Data for Better Decisions.
    • Spotify Research (Oct. 27th, 2017).
    • Union College Math/CS Seminar Series, Schenectady, NY, USA (Nov. 2, 2017).
  2. Mechanisms for Online Organ Matching.
    • Sydney Economics and Computation Workshop, Sydney, Australia (Aug. 29, 2017).
  3. Doctoral Consortium Panel: Your Research Career.
    • IJCAI 2017 Doctoral Consortium, Melbourne, Australia (Aug. 21, 2017).
  4. Strategyproof Peer Selection using Randomization, Partitioning, and Apportionment.
    • Schloss Dagstuhl Seminar 17261: Voting: Beyond Simple Majorities and Single-Winner Elections, Wadern, Germany (June 27th, 2017).
  5. A Novel Strategyproof Peer Selection Mechanism.
    • University of Sydney Algorithms Group Seminar (March 15th, 2016).
    • IBM TJ Watson Research Center: Knowledge and Reasoning Seminar (November 1st, 2016).
  6. Tutorial: Using PrefLib for Social Choice Research
    • Tutorial, Center for Mathematical Social Sciences Summer Workshop 2016, Auckland, New Zealand (Feb. 19th, 2016).
  7. Tutorial: Introduction to Computational Social Choice (with Haris Aziz).
  8. From Theory to Practice: Crowdsourcing and Cost Allocation
    • College of Charleston (Feb. 4, 2016).
    • Tulane University Colloquia (Sept. 16, 2015).
    • Forum for Artificial Intelligence, University of Texas at Austin (Oct. 9, 2015).
  9. Tutorial: Introduction to Computational Social Choice (with Haris Aziz).
    • My slides are available here.  The slides from Haris Aziz on matching and fair division are available at his site.
    • The 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014), Gold Coast, Australia (Dec. 1st, 2014).
  10. Tutorial: PrefLib for Empirical Testing in Social Choice
  11. A Study of Proxies for Shapley Allocations of Transport Costs.
    • University of Kentucky (July 3rd, 2014).
    • Decision, Intelligent Systems and Operational Research Department (DESIR), Pierre et Marie Curie (Paris 6) University, Paris, France (May 14th, 2014).
    • NICTA Game Theory and Optimisation Workshop, Sydney, Australia (April 9th, 2014).
    • NICTA Optimization Seminar, Sydney, Australia (March 28, 2014).
  12. Empirical Social Choice: PrefLib and Randomized Tie-BreakingClick the link for Full Motion Video!
    • NICTA Optimization Seminar, Sydney, Australia (Sept. 13, 2013).
    • University of Kentucky (July 31, 2013).
    • University of Texas at Dallas (July 23, 2013).
  13. Academic Advising: Automatically Generating Convincing Explanations of Recommendations from Complex Models.
    • University of Louisville (July 17th, 2014).
    • NICTA Optimization Seminar, Sydney, Australia (July 5, 2013).
    • University of Texas at Austin (August 12, 2011).
    • Eastern Kentucky University 25th Annual Symposium in the Mathematics, Statistical, and Computer Sciences (April 1, 2011).
  14. Empirical Analysis of Voting Rules and Large Datasets.  Nicholas Mattei (overview of joint work).  Institute of Mathematical Science (Singapore) Workshop on Social Choice and Algorithmic Game Theory, Janurary 2013.
  15. Influence, Bribery, and Manipulation in Voting Systems: Current Results and Ongoing Work.
    • NICTA Optimisation Seminar, Sydney, Australia (November 30, 2012).
    • Mississippi State University (March 29th, 2012).
    • Capital Area Theory Seminar (CATS) Invited Talk, University of Maryland, College Park (February 24th, 2012).
    • University of Padova, Italy (June 16, 2011).
  16. Attitudes and Expectations of Undergraduate Students in STEM and non-STEM Disciplines.  Joshua T. Guerin, Nicholas Mattei, and Thomas Dodson.  Third Annual University of Kentucky STEM Education Symposium, February 2012
  17. Decision Making Under Uncertainty: Social Choice and Manipulation.
    • Comparative Decision Making Seminar (University of Kentucky, May 29,2010)
    • Mid-West Theory Day (Indiana University, May 17, 2010)
  18. Wireless Emergancy Stop for the K-10 Lunar Rover.  Nicholas Mattei.  NASA Ames Research Center USRP Poster Day, August 2005.
  19. Real-Time Linux Testing and Results.  Nicholas Mattei.  NASA Glenn Research Center LERCIP Presentation Day, August 2004.

Patents and Disclosures

  1. Low Burden Star Tracker. Christopher Dallara, Stevan Spremo, Nicholas Mattei. NASA Ames Research Center ARC-16289-1. Provisional patent granted, licensed to Bay Area startup.

Other Technical Writing

  1. Facilitating Peer Review with Cognitive Computing. Haris Aziz, Omer Lev, and Nicholas Mattei. IBM Research Blog, 2017.
  2. Review of Who’s Bigger?: Where Historical Figures Really Rank, by Steven Skiena and Charles B. Ward. Nicholas Mattei. SIGACT News, Volume 45, Number 2, 2014.
  3. Review of Who’s #1?: The Science of Ranking and Rating, by Amy N. Langville and Carl D. Meyer. Nicholas Mattei. SIGACT News, Volume 45, Number 1, 2014.