The Ph.D. Grind by Philip Guo

The Awesomest 7-Year Postdoc or: How I Learned to Stop Worrying and Love the Tenure-Track Faculty Life by Radhika Nagpal

The Genius Fallacy by Jean Yang

Last Lecture of Allen Newell : Desires and Diversions : 1991 : Carnegie Mellon University

To Be Updated…

• Fei Fang, Debarun Kar, Dana Thomas, Nicole Sintov, Milind Tambe. PAWS: Protection Assistant for Wildlife Security. In AAAI Conference on Artificial Intelligence (AAAI), February 2016.

• Tutorial on “Game Theory for Protecting Natural Resources” at 2017 Doctoral Consortium on Computational Sustainability, which is held at the University of Southern California. The slides can be downloaded here: FeiFang_20170713_CompSustDC.

• Fei Fang, Game Theory for Conservation, PAWS:Protection Assistant for Wildlife Security

Key Publications

Entries highlighted in blue are recommended for the non-CS audience, including conservation biologists, conservation practitioners, and the general audience.

• VIOLA: Video Labeling Application for Security Domains
  Elizabeth Bondi, Fei Fang, Debarun Kar, Venil Noronha, Donnabell Dmello, Milind Tambe, Arvind Iyer, Robert Hannaford
  In GameSec 2017: The 8th Conference on Decision and Game Theory for Security
  [pdf]
• Optimal Patrol Planning for Green Security Games with Black-Box Attackers
  Haifeng Xu, Benjamin Ford, Fei Fang, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
  In GameSec 2017: The 8th Conference on Decision and Game Theory for Security
  [pdf]
• Taking it for a Test Drive: A Hybrid Spatio-temporal Model for Wildlife Poaching Prediction Evaluated through a Controlled Field Test
  Shahrzad Gholami, Benjamin Ford, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
  In ECML-PKDD 2017: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  [pdf]
• Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data
  Debarun Kar, Benjamin Ford, Shahrzad Gholami, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba
  In AAMAS-17: Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), May 2017
  [pdf|AAMAS version]
• Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences
  Nicole Sintov, Debarun Kar, Thanh Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
  AI Magazine, 38 (2):35-47, 2017.
  [pdf|AI Magazine version]
• PAWS – A Deployed Game-Theoretic Application to Combat Poaching
  Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, Andrew Lemieux
  AI Magazine, 38(1):23-36, 2017.
  [pdf|AI Magazine version]
• Comparing Human Behavior Models in Repeated Stackelberg Security Games: An Extended Study
  Debarun Kar, Fei Fang, Francesco M. Delle Fave, Nicole Sintov, Milind Tambe, Arnaud Lyet
  In AIJ: Artificial Intelligence
  [pdf|AIJ version|bib]
• Combining Graph Contraction and Strategy Generation for Green Security Games
  Anjon Basak, Fei Fang, Thanh Nguyen and Christopher Kiekintveld
  In GameSec-16: Proceedings of the 7th International Conference on Decision and Game Theory for Security, November  2016
  [pdf|GameSec version|bib|slides]
• Three Strategies to Success: Learning Adversary Models in Security Games
  Nika Haghtalab, Fei Fang, Thanh H. Nguyen, Arunesh Sinha, Ariel Procaccia, Milind Tambe
  In IJCAI-16: Proceedings of the 25th International Joint Conference on Artificial Intelligence, July 2016
  [pdf|IJCAI version|bib]
• Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security
  Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux
  In IAAI-16: Proceedings of the Innovative Applications of Artificial Intelligence, February 2016
  Winner of Innovative Application Award
  [pdf|IAAI version|bib]
• From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences
  Nicole Sintov, Debarun Kar, Thanh H. Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
  In EAAI-16: the Sixth Symposium on Educational Advances in Artificial Intelligence, February 2016
  [pdf|EAAI version|bib]
• When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing
  Fei Fang, Peter Stone, Milind Tambe
  In IJCAI-15: Proceedings of the 24th International Joint Conference on Artificial Intelligence, July 2015
  Outstanding Paper Award Winner in IJCAI-15 Computational Sustainability Track
  [pdf|IJCAI version|bib]
• ”A Game of Thrones”: When Human Behavior Models Compete in Repeated Stackelberg Security Games
  Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole Sintov, Milind Tambe
  In AAMAS-15: Proceedings of the Fourteenth International Conference on Autonomous Agents and Multiagent Systems, May 2015
  [pdf|bib]

]]> https://feifang.info/2017/09/02/collection-of-my-work-on-wildlife-conservation/feed/ 0 524 fangf07 https://feifang.info/2017/08/26/acceptance-rate-info/ https://feifang.info/2017/08/26/acceptance-rate-info/#respond Sat, 26 Aug 2017 21:09:34 +0000 http://feifang.info/?p=510 Continue reading Acceptance Rate Info]]> AAAI Acceptance Rate

IJCAI Acceptance Rate

I will keep updating the list. Please feel free to send me comments/recommendations. I will try to list the targeted audience and the time it takes to read/watch for each resource.

[All audience | 13 minutes] To get a quick overview of security games and deployed application, I recommend the following video introducing how security games are deployed in the field for protecting airports, ports, metro lines, fisheris and wildlife.  (July 2016)

[CS background | 1 hour] To get a deeper/broader on security games within an hour, I recommend this talk (September 2014)

[Students/Researchers | 1.5 hours] To get pointers to key publications with a high-level research picture and brief introductions, I recommend the following survey/newsletter publications:

• Green Security Games: Apply Game Theory to Addressing Green Security Challenges
  Fei Fang, Thanh H. Nguyen
  In ACM SIGecom Exchanges, Volume 15 Issue 1, July 2016, Pages 78-83
  [pdf|SIGecom version]
• Computational game theory for security: Progress and challenges
  Milind Tambe, Albert Jiang, Bo An, Manish Jain
  AAAI Spring Symposium on Spring Symposium on Applied Computational Game Theory, March 2014
  [pdf]

[Student/Researchers | 1~2 weeks] To learn security games from the basics, I recommend the following book

• Security and Game Theory: Algorithms, Deployed Systems, Lessons Learned
  Milind Tambe
  Cambridge University Press, 2011
  [Amazon Link]

[Students/Researchers | a few weeks] Background knowledge of security games include game theory, mathematical programming and general topics in Artificial Intelligence. Here are some courses/books I recommend.

• Game Theory I and II
  Online Course Taught by Matthew O. Jackson, Kevin Leyton-Brown and Yoav Shoham
  [Coursera Link | Youtube channel]
• Essentials of Game Theory
  [E-Book Link]
• MULTIAGENT SYSTEMS Algorithmic, Game-Theoretic, and Logical Foundations
  [E-Book Link]
• Applied Mathematical Programming
  Stephen P. Bradley, Arnoldo C. Hax, Thomas L. Magnanti
  Addison-Wesley, 1977
  [Free Downloads from MIT | Amazon Link]
• Artificial Intelligence: A Modern Approach (3rd Edition)
  Stuart Russell, Peter Norvig
  Pearson, 2009
  [Amazon Link]
• Algorithmic Game Theory (1st Edition)
  Noam Nisan, Tim Roughgarden, Eva Tardos, Vijay V. Vazirani
  Cambridge University Press, 2007
  [Amazon Link]