Boi Faltings
EPFL IC IINFCOM LIA
INR 230 (Bâtiment INR)
Station 14
1015 Lausanne
Web site: Web site: https://www.epfl.ch/labs/lia/
+41 21 693 27 38
EPFL
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IC
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PH-IC
Web site: Web site: https://www.epfl.ch/schools/ic/about/faculty-members/#emeritus
Fields of expertise
Artificial intelligence, Constraint programming, Multi-agent systems, Electronic commerce, Computational game theory
Current work
Some topics of current interest include:- Game-theoretic techniques for information elicitation
- Adaptive software agents and multi-agent systems
- Privacy-preserving Artificial Intelligence
- Recommender systems
- Continual machine learning
Biography
Boi Faltings is a full professor of computer science and heads the Artificial Intelligence Laboratory,. He has held visiting positions at NEC Research Institute, Stanford University and the HongKong University of Science and Technology. He has co-founded 6 companies using AI for e-commerce and computer security and acted as advisor to several other companies. Prof. Faltings has published over 300 refereed papers and graduated over 40 Ph.D. students, several of which have won national and international awards. He is a fellow of the European Coordinating Committee for Artificial Intelligence and a fellow of the Association for Advancement of Artificial Intelligence (AAAI). He holds a Diploma from ETH Zurich and a Ph.D. from the University of Illinois at Urbana-Champaign.CONTACT
Secretariat Karin Gétaz Building INR 231 Station 14 CH-1015 Lausanne Tel. 41 21 693 42 11 karin.getaz@epfl.chPublications
Infoscience publications
Infoscience
Extensions of Peer Prediction Incentive Mechanisms
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-9803.Incentives for Effort in Crowdsourcing using the Peer Truth Serum
ACM Transactions on Intelligent Systems and Technology. 2016. DOI : 10.1145/2856102.Incentives to Counter Bias in Human Computation
2014. p. 59-66. DOI : 10.1609/hcomp.v2i1.13145.Eliciting Truthful Information with the Peer Truth Serum
The 15th ACM conference on Economics and Computation (EC’14).Incentive Mechanisms for Community Sensing
Ieee Transactions On Computers. 2014. DOI : 10.1109/Tc.2013.150.Eliciting Truthful Measurements from a Community of Sensors
2012. p. 47-54.Incentives for Answering Hypothetical Questions
2011. Workshop on Social Computing and User Generated Content, EC-11.Reporting incentives and biases in online review forums
ACM Transactions on the Web (TWEB). 2010. DOI : 10.1145/1734200.1734202.A Publish/Subscribe Approach to Processing Continuous Queries over Sensor Streams
Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4681.Continuous Query Evaluation over Distributed Sensor Networks
2010. 26th IEEE International Conference on Data Engineering (ICDE 2010), Long Beach, California, USA, March 1-6, 2010. p. 912-923. DOI : 10.1109/ICDE.2010.5447847.Forward Error Correction for Multipath Media Streaming
IEEE Transactions On Circuits And Systems For Video Technology. 2009. DOI : 10.1109/TCSVT.2009.2022800.Mechanisms for Making Crowds Truthful
Journal Of Artificial Intelligence Research. 2009. DOI : 10.1613/jair.2621.Rating aggregation in collaborative filtering systems
2009. 3rd ACM conference on Recommender systems (RecSys 09), New York, New York, USA, 23-25 October 2009. p. 349-352. DOI : 10.1145/1639714.1639785.Aggregating Reputation Feedback
2009. 1st International Conference on Reputation: Theory and Technology, Gargonza, Italy, March 2009. p. 62-74.Processing Publish/Subscribe Queries over Distributed Data Streams
2009. DEBS 2009 3rd ACM International Conference on Distributed Event-Based Systems, Nashville, TN, July 6-9, 2009. p. 21. DOI : 10.1145/1619258.1619286.Truthful Opinions from the Crowds
ACM SIGEcom Exchanges. 2008. DOI : 10.1145/1399589.1399592.Incentives for Expressing Opinions in Online Polls
2008. p. 119-128. DOI : 10.1145/1386790.1386812.System and method for monitoring quality of service
US8843385 ; US2008137550 . 2008.Query Driven Operator Placement for Complex Event Detection over Data Streams
2008. 3rd IEEE European Conference on Smart Sensing and Context (EuroSSC), Zurich, Switzerland, October 29-31, 2008.Distributed Media Rate Allocation in Multipath Networks
Signal Processing: Image Communications. 2008.Understanding User Behavior in Online Feedback Reporting
2007. p. 134-142. DOI : 10.1145/1250910.1250931.Robust Incentive-Compatible Feedback Payments
Agent-Mediated Electronic Commerce; Berlin Heidelberg: Springer-Verlag, 2007. p. 204-218.Reporting Incentives in Online Feedback Forums: The Influence of Effort
2007Reliable QoS Monitoring Based on Client Feedback
2007. p. 1003-1011. DOI : 10.1145/1242572.1242708.Providing Cooperative Incentives through the Structure of Social Networks
2007Obtaining Reliable Feedback for Sanctioning Reputation Mechanisms
Journal of Artificial Intelligence Research (JAIR). 2007. DOI : 10.1613/jair.2243.Incentive-compatible Online Opinion Polls
2007Governing Environments for Agent-based Traffic Simulations
2007. 5th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2007, Leipzig, Germany, September 25-27, 2007. p. 163-172. DOI : 10.1007/978-3-540-75254-7_17.Collusion Resistant, Incentive Compatible Feedback Payments
2007. p. 200-209. DOI : 10.1145/1250910.1250940.Automated Dynamic Maintenance of Composite Services Based on Service Reputation
2007. p. 449-455.Automated Design of Prediction Market Pricing Functions
2007Truthful reputation mechanisms for online systems
Lausanne, EPFL, 2007. DOI : 10.5075/epfl-thesis-3955.Adaptive media streaming over multipath networks
Lausanne, EPFL, 2007. DOI : 10.5075/epfl-thesis-3908.Joint Network and Rate Allocation for Video Streaming over Multiple Wireless Networks
2007. IEEE International Symposium on Multimedia. p. 229-236. DOI : 10.1109/ISM.2007.4412378.Joint Network and Rate Allocation for Simultaneous Wireless Applications
2007. International Conference on Multimedia and Expo, Beijing, China, July 2007. p. 931-934. DOI : 10.1109/ICME.2007.4284804.Enabling Adaptive Video Streaming in P2P Systems
IEEE Communications Magazine. 2007. DOI : 10.1109/MCOM.2007.374427.Packet Media Streaming with Imprecise Rate Estimation
Advances in Multimedia. 2007. DOI : 10.1155/2007/39524.Media Flow Rate Allocation in Multipath Networks
IEEE Transactions on Multimedia. 2007. DOI : 10.1109/TMM.2007.902852.Packet Selection and Scheduling for Multipath Video Streaming
IEEE Transactions on Multimedia. 2007. DOI : 10.1109/TMM.2006.888017.Media-specific rate allocation in heterogeneous wireless networks
Journal of Zhejiang University - Science A. 2006. DOI : 10.1631/jzus.2006.A0713.Distributed Media Rate Allocation in Multipath Networks
2006Efficient Probabilistic Subsumption Checking for Content-Based Publish/Subscribe Systems
2006. 7th International Middleware Conference (Middleware 2006), Melbourne, Australia, November 27 - December 1, 2006. p. 121–140. DOI : 10.1007/11925071_7.Minimum Payments that Reward Honest Reputation Feedback
2006. p. 190-199. DOI : 10.1145/1134707.1134728.Using CHI-Scores to Reward Honest Feedback from Repeated Interactions
2006. p. 1233-1240. DOI : 10.1145/1160633.1160856.Media-Specific Rate Allocation in Heterogeneous Wireless Networks
2006.Distributed Media Rate Allocation in Overlay Networks
2006. p. 1401-1404. DOI : 10.1109/ICME.2006.262801.Media Streaming with Conservative Delay on Variable Rate Channels
2006. p. 1841-1844. DOI : 10.1109/ICME.2006.262912.Community-Aware Event Dissemination
2006Fast Probabilistic Subsumption Checking for Publish/Subscribe Systems
2006Media-Specific Rate Allocation in Multipath Networks
2005Reputation-based Service Level Agreements for Web Services
Service Oriented Computing (ICSOC - 2005); 2005. p. 396-409.Enforcing Truthful Strategies in Incentive Compatible Reputation Mechanisms
2005. First International Workshop, WINE 2005, Hong Kong, China, December 15-17, 2005. p. 268-277. DOI : 10.1007/11600930_26.CONFESS: Eliciting Honest Feedback without Independent Verification Authorities
2005. AAMAS 2004 Workshop, AMEC 2004, New York, NY, USA, July 19, 2004. p. 59-72. DOI : 10.1007/11575726_5.Eliminating Undesired Equilibrium Points from Incentive Compatible Reputation Mechanisms
2005.Reputation-based Pricing of P2P Services
2005. p. 144–149. DOI : 10.1145/1080192.1080206.Media Aware Routing in Large Scale Networks with Overlay
2005. p. 892-895. DOI : 10.1109/ICME.2005.1521567.Eliminating Undesired Equilibrium Points from Incentive Compatible Reputation Mechanisms
2005Truthful Reputation Information in Electronic Markets without Independent Verification
2004Eliciting Truthful Feedback for Binary Reputation Mechanisms
2004. p. 214-220. DOI : 10.1109/WI.2004.10137."CONFESS". An Incentive Compatible Reputation Mechanism for the Online Hotel Booking Industry
2004. p. 205-212. DOI : 10.1109/ICECT.2004.1319735.Distortion Optimized Multipath Video Streaming
2004.Optimal FEC Rate for Media Streaming in Active Networks
2004. p. 1319-1322. DOI : 10.1109/ICME.2004.1394471.Packet Selection and Scheduling for Multipath Video Streaming
2004Joint Synchronization, Routing and Energy Saving in Multi-hop Hybrid Networks
2004Truthful Reputation Information in Electronic Markets without Independent Verification
2004Joint Synchronization, Routing and Energy Saving in CSMA/CA Multi-Hop Hybrid Networks
2004. 1st IEEE International Conference on Mobile Ad-hoc and Sensor Systems MASS 2004, Fort Lauderdale, Florida, USA. p. 245-254. DOI : 10.1109/MAHSS.2004.1392163.An Incentive Compatible Reputation Mechanism
2003. p. 285-292. DOI : 10.1109/COEC.2003.1210263.Towards Incentive-Compatible Reputation Management
2003. AAMAS 2002 International Workshop, Bologna, Italy, July 15, 2002. p. 138-147. DOI : 10.1007/3-540-36609-1_11.Teaching & PhD
Past EPFL PhD Students
Antognini Diego Matteo , Boia Marina , Cigler Ludek , Cui Shaobo , Danassis Panayiotis , Dreyfus Paul Arthur Adrien Pierre , Dütting Paul David , Erden Zeki Doruk , Garcin Florent Frédéric , Goel Naman , Kulev Igor , Léauté Thomas , Mi Fei , Nguyen Quang Huy , Ottens Brammert , Pu Li , Radanovic Goran , Richardson Adam Julian , Rokvic Ljubomir , Schickel Vincent Jean Fabrice , Sintsova Valentina , Triastcyn Aleksei ,Courses
EECS Seminar: Advanced Topics in Machine Learning
Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results.