Activities

Editorial Boards

• Machine Learning Journal (MLJ) [Action Editor]
• Journal of Artificial Intelligence Research (JAIR) [Associate Editor]
• Data Mining and Knowledge Discovery (DAMI) [Action Editor]
  
• Artificial Intelligence Journal (AIJ)
• New Generation Computing

Co-Chair / Co-Organizer

• ECML PKDD 2013 together with Hendrik Blockeel, Siegfried Nijssen, and Filip Zelezny, Prague, Czech Republic, September, 2013.
• AAAI-2013 Workshop on Statistical Relational AI (StarAI-13) together with Vibhav Gogate, Sriraam Natarajan, and David Poole.
• AAAI-2013 Student Abstract and Poster Program together with Scott Sanner and Rudolph Triebel, Bellevue, USA, July 14–18, 2013.
• UAI-2012 Workshop on Statistical Relational AI (StarAI-12) together with Henry Kautz, Sriraam Natarajan, and David Poole.
• ICML 2012 Workshop on Statistical Relational Learning (SRL-12) together with James Cussens, Sriraam Natarajan, and David Poole.
• ECML PKDD 2012 Workshop on Collective Learning and Inference on Structured Data (CoLISD-12) together with Balaraman Ravindran, Sriraam Natarajan,  and
  Shivashankar Subramanian, Bristol, UK, Sept. 28, 2012.
• 6th Starting AI Research Symposium (STAIRS) together with Marc Toussaint, Montpellier, France August 27-28, 2012.
• AAAI 2012 Student Abstract and Poster Program together with Rudolph Triebel, Toronto, Canada, July 22–26, 2012.
• NIPS 2011 Workshop on Choice Models and Preference Learning.
• ECML PKDD 2011 Workshop on Collective Learning and Inference on Structured Data (CoLISD-11) together with Balaraman Ravindran, Sriraam Natarajan, Indrajit Bhattacharya, and
  Shivashankar Subramanian, Athens, Greece, Sept. 9, 2011.
• International Workshop on Mining and Learning with Graphs (MLG-11) co-located with KDD-2011 together Jennifer Neville, Prem Melville, and David Page, San Diego, CA, Aug 20-21, 2011.
• AAAI-2010 Workshop on Statistical Relational Artificial Intelligence (StarAI-10), July 12, 2010, Atlanta, Gorgia, USA . Together with Stuart Russell, Leslie Pack Kaelbling, Alon Halevy, Sriraam Natarajan, and Lilyana Mihalkova.
• Game Mining session at the IEEE Conference on Computational Intelligence and Games (CIG-10), Oct 18-21, Copenhagen, Denmark. Together with Christian Bauckhage, Thomas Gaertner, Olana Missura, and Christian Thurau.
• International Workshop on Statistical Relational Learning (SRL-09), July 02-04, 2009, Leuven, Belgium. Together with Pedro Domingos.
• International Workshop on Mining and Learning with Graphs (MLG-07), August 01 -03, 2007, Universita degli Studi di Firenze, Florence, Tuscany, Italy. Together with Paolo Frasconi and Koji Tsuda.
• Statistical Relational Learning Session at the 31st Annual Conference of the German Classification Society - Gesellschaft fuer Klassifikation (GfKI), March 7-9, 2007, Freiburg i. Br., Germany. Together with H. Blockeel.
• Dagstuhl Seminar 07161 on Probabilistic, Logical and Relational Learning - A Further Synthesis, April 2007. Togehter with L. De Raedt, T. Dietterich, L. Getoor, and S. H. Muggleton.

Program Commitee Member

• AAAI (06, 08, PGAI 08, 10, 11, AIW  11, SA 11, Nectar 11, SPC 12, 13, AIW 13)
• ACML (09, 10, 11, SPC 12)
• AIS-ADM (05,07)
• AIStats (09)
• ADMI (07)
• CMILE (07)
• DS (05,06,07,08,09,10) 
• ECAI (06,08,10)
• ECML/PKDD (06 [Area Chair], 07 [Area Chair],08,09,11, 12 [Area Chair])
• ESWC (12, 13)
• "Evolving Knowlegde in Theory and Application"@KI-11
• Flairs (Uncertainty Track 12)
• GraphBot@IROS-2011
• Hina@IJCAI-2011
• IAS (08)
• ICANN (11 [Area Chair])
• ICAPS (11)
• ICML (03,05,06,07,08,09,10 [Area Chair], 11 [Area Chair], 12 [Area Chair])
• ICPRAM (12, 13)
• IJCAI (09, 11 [SPC], 13 [SPC]) 
• ILP (07,08,09,10, 11, 12)
• ISAIM (08, 10)
• KDD (06, 07,10, 11, 13)
• KDML@LWA (11)
• KR (12)
• LEMIR (09, 11) 
• MLG (06,10)
• MRDM (04,05,07)
• Multiview (05)
• NeSys (09, 10, 11)
• PODS (12 [externel committe on uncertainty])
• PGM (08, 10)
• ACM-SAC, special track on data mining (04,05,06,07,08,09)
• "Relational Approaches to Knowledge Representation and Learning"@KI-09
• RSS (08,10)
• SBIA (08)
• SDM (12)
• SRL (03,04,06)
• UAI (12, 13 [SPC])

Reviewing

• ECML/PKDD (01,02),ICRA (09), ILP (02,04), IPMU (04), ITCS (12), KDD (04),NIPS (08, 09,10),PSB (04),SDM (07), RO-MAN (09), Spatial Cognition (04), Ubicomp (08,09), VAST (09), CHI (12), COLT (12)
• AICom, AIJ, CBM, DMKD, EcoMod, ETAI, Informatica, IDA, IEEE Pervasive Computing, IJAR, IJRR, Information Retrieval, JAIR, JIFS, JMLR, MLJ, Neurocomputing, New Generation Computing, SIGKDD Explorations, TNN, TOCL, TPLP
• US National Science Foundation (NSF), The Netherlands Organization for Research Funds (NWO), Swiss National Science Foundation (SNSF), Israeli Ministry of Science, European Commission, ERC, Fundação para a Ciência e a Tecnologia (FCT)

International Tutorials

• "Factorizing Gigantic Matrices" together with Christian Thurau and Christian Bauckhage at ECML PKDD-11 (European Conference on Machine Learningand Principles and Practice of Knowledge Discovery in Databases),  Athens, Greece, Sept. 5-9, 2011
• "Combining Logic and Probability: Languages, Algorithms, and Applications" together with Pedro Domingos at UAI-11 (Conference on Uncertainty in AI), Barcelona, Spain, July 14-16, 2011.
• "Lifted Inference in Probabilistic Logical Models" organized together with Sriraam Natarajan and David Poole at IJCAI-11 (International Joint Conference on Artificial Intelligence), Barcelona, Spain, July, 2011
• "Statistical Relational Learning" at MLSS-10 (Machine Learning Summer School), Canberra, Australia, Oct 4, 2010
• "First-order Planning" together with Scott Sanner at ICAPS-08 (International Conference on Automated Planning and Scheduling) Sydney, Australia, Sept 14-18, 2008.
• "SRL without Tears: An ILP Perspective on SRL" at ILP-08 (18th International Conference on Inductive Logic Programming), Prague, Czech Republic, Sept 10-12, 2008..
• "Decision-Theoretic Planning and Learning in Relational Domains" together with Prasad Tadepalli and Alan Fern at AAAI-08 (23rd AAAI Conference on Artificial Intelligence),  Chicago, USA, July 13-14, 2008.
• "Probabilistic Inductive Logic Learning" together with Luc De Raedt at ECML/PKDD-2005 (16th European Conference on Machine Learning (ECML), 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD)),Porto, Portugal, Oct. 3-7, 2005.
• "Probabilistic Inductive Logic Learning" together with Luc De Raedt at IDA-2005 (6th International Symposium on Intelligent Data Analysis), Madrid, Spain, ,Sep. 8-10, 2005.
• "Probabilistic Logic Learning" together with James Cussens at ICML-2004 (Twenty-First International Conference on Machine Learning), Banff, Alberta, Canada, July 4, 2004.  

Talks on Invitations

• "High Throughout Phenotyping: A Big Data Mining Challenge", 3rd Brazilian-German Frontiers of Science and Technology Symposia (BRAGFOST), Brasilia, Brasil, Nov. 8-12, 2012.
• "High Throughout Phenotyping: A Big Data Mining Challenge", Lernen, Wissen, Adaptivität (LWA-12), Technische Universität Dortmund, Dortmund, Germany, Sept. 12-14, 2012.
• "Lifted Probabilistic Inference",  Frontiers in AI Track at ECAI-2012, Montpellier, France, August 31, 2012.
• "Statistical Relational Artificial Intelligence", 5th Sino-German Frontiers of Science Symposium (SINOGFOS), Nanjing, China, April 26-29, 2012.
• "From Lifted Probabilistic Inference to Lifted Linear Programming", 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW), Bonn, Germany, Oct. 23, 2011.
• "Increasing Representational Power and Scaling Inference in Reinforcement Learning", 9th European Workshop on Reinforcement Learning (EWRL), Athens, Greece, Sept. 9-11, 2011.
• "Perception and Prediction Beyond the Here and Now", 2nd Intern. Workshop on Mining Ubiquitous and Social Environments (MUSE) at ECML PKDD 2011, Athens, Greece, Sept. 5, 2011.
• "Lifted Message Passing", IROS10 Workshop on Graphical Models in  Robotics (GraphBot-10), Taipei, Taiwan, Oct. 22, 2010.
• "Lifted Message Passing", AAAI10 6th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy-10), Atlanta, USA, July 11, 2010 
• "Relations and Probabilities: Friends, not Foes", Lernen, Wissen, Adaptivität (LWA-09), Technische Universität Darmstadt, Darmstadt, Germany, Sept. 21-23, 2009.
• "Probabilistic Logic Learning and Reasoning" at BeneLearn 2005: Fourteenth Annual Machine Learning Conference of Belgium and the Netherlands, University of Twente, Enschede, The Netherlands, February 17 -18, 2005. 

• "Machines Reading Plants", Together with Christian Bauckhage, Theodor-Bringmann Graduate School and CROPSENSe.net colloqium/seminar on "Early Recognition of Stress Reactions II", University of Bonn, Germany, Nov. 30, 2012
• "Maschines Reading the Data", CS Department, Technical University Dortmund, Dortmund, Germany, August 23, 2012.
• "Maschines Reading the Data", HCI Kolloqium, Ruprecht-Karls University, Heidelberg, Germany, July 17, 2012.
• "Maschines Reading the Data", CS Department, University of Erlangen-Nürnberg,  Erlangen, Germany, May 14, 2012.
• "Maschines Reading the Data", CS Department, University of Bremen, Germany, May 07, 2012.
• "Can Machines Feed a Hungry World?", Workshop of the Collaborative Research Center SFB 876 "Providing Information by Resource-Constrainted Data Analysis, Lüdenscheid,  October 20, 2011.
• "Can Machines Feed and Heal the World?", School of Medicine, Wake Forest University, Winston-Salem, NC, USA, August 15, 2011.
• "Lifted Message Passing:A Step Towards Gaining a 'Big-Picture' View on AI", Max-Planck Institut für Informatik, Saarbrücken, Germany, May. 06, 2011.
• "Statistical Relational AI:A Step Towards Gaining a 'Big-Picture' View on AI", Interdisciplinary Statistics Colloquium at the Universities of Marbug and Giessen, Germany, Jan. 18, 2011.
• "Exponential Science: Grappling with Massive Data and Knowledge", Fraunhofer Netzwert Symposium, Munich, Germany, Dec. 8, 2010.
• "Lifted Message Passing: A Step Towards Gaining a 'Big-Picture' View on AI", Microsoft Research, Cambridge, UK, Nov. 30, 2010.
• "Erfolgreich Nachwuchsgruppen beantragen, aufbauen und leiten", 10th GAIN-Jahrestagung 2010, Boston, USA, Sept. 10-12, 2010
• "Lifted Message Passing", The Center for Language and Speech Processing @ John Hopkins University, Baltimore, USA, Sept. 7, 2010.
• "Topic Models Conditioned on Relations" at the Symposium on "Probabilistic models for Content Access and Information Extraction", K.U. Leuven, Leuven, Belgium, May. 3, 2010. 
• "Statistical Relational AI", CS Department, Technical University of Munich, Garching, Dec. 14, 2009.
• "Statistical Relational AI", EE and CS Colloqium, University of Ulm, Ulm, Germany, Dec. 03, 2009. 
• "Lifting and Wrapping Exponential Worlds" at the Symposium on "Recent Trends in Machine Learning", K.U. Leuven, Leuven, Belgium, Sept. 3, 2009. 
• "SRL without Tears" and "Counting Belief Propagation",  COST Action IC0602 Management Committee Meeting, Cork, ireland, April 23-24, 2009.
• "Nonparametric Policy Gradients" at Neville Roach Research Laboratory, NICTA@Kensington, Sydney, Australia, Oct. 1st, 2008.
• "What is Statistical Relational Learning and How to Boost it" at SML Group, NICTA, Canberra, Australia, September 26th, 2008.
• "Entertaining Statistical Relational Learning" at the Symposium on "Probabilistic Logic Learning", K. U. Leuven, Leuven, Belgium, July 1, 2008.
• "Statistical Relational Activity Mining: Ubiquitous Computing in Worlds of Objects" at the KDubiq Final Symposium, Bonn, Germany, May 13, 2008.
• "Finding many rough rules of how to act can be a lot easier than finding a single, highly accurate policy"at the Situation Modeling and Recognition Workshop, University fo Freiburg, Germany, March 13, 2008.
• "Statistical Relational Learning: A Key Challenge for AI" at the KIT-IAIS Cooperation Kick-Off Workshop, Fraunhofer IAIS, Schloss Berlinghoven, Sankt Augustin, Germany, March 7, 2008  
• "How to Make a PhD in Statistical Relational Learning" at the Second Research Contact Day of the CIL Doctoral School, Leuven, Belgium, August 29, 2007.
• "An Inductive Logic Programming Approach to Statistical Relational Learning" at ACAI 2007(Logic for Artificial Intelligence), Leuven, Belgium, August 24, 2007.
• "Most Likely Heteroscedastic Gaussian Process Regression" at Nick Roy\'s Working Group Meeting, CSAIL, MIT, Cambridge, MA, USA, August 14, 2007.
• "Most Likely Heteroscedastic Gaussian Process Regression" at Fraunhofer IAIS, Sankt Augustin, Germany, August 06, 2007. Contact: Stefan Wrobel.
• "Statistical Relational Learning: A Key Challenge for Artificial Intelligence and Machine Learning" at the Institute for Compute Science, University of Freiburg, Germany, January 09, 2007
• "Statistical Relational Learning: A Key Challenge for Computational Biology" at Department of Computing, Imperial College London, UK, April 26, 2007. 

Panelist

• "Challenges of Machine Learning-based Autonomous Robotics" at the First International Workshop on LEarning and data Mining for Robotics (LEMIR 2009), Bled, Slovenia, Sep 7, 2009 (in conjunction with ECML/PKDD-2009).

   

Community

• RSS 11: Member of the Workshop Evaluation Committee
• ICML 10: Member of the Best Application Paper Award Committee
• ECML-PKDD 10: Member of the Workshop and Tutorial Evaluation Committee
• ICML 05: Proceedings Chair
• IMLS: Web Master (together with A. Zimmermann), Dec. 03 - 06.

Projects

• EU Project FP7-248258-First-MM "Flexible Skill Acquisition and Intuitive Robot Tasking for Mobile Manipulation on the Reald World", Principle Investigater. Feb 1, 2010 - Jan 31, 2014. 
• Leader of running ATTRACT project "STREAM: Statistical Relational Activity Mining". Jan. 2008 - Jan. 2013. Funded by the Fraunhofer-Gesellschaft.
• Feb 01, 2007 -  Dec 31, 2007: CALO, "Cognitive Agent that Learns and Organizes",  Defense Advanced Research Projects Agency (DARPA), through the US Department of the Interior, NBC, Acquisition Services Division, under Contract No. NBCHD030010.
• May 01, 2004 - Dec. 24, 2006:
  APrIL,"Application of Probabilistic Inductive Logic Programming II" (APrIL II), EU Project, Contract no. FP6-508861
• October 01, 2001 - May 30, 2002 :
  APrIL, "Application of Probabilistic Inductive Logic Programming" (APrIL), EU Project, Contract no. IST-2001-33053

PhD Jury Membership

• Tom Croonenborghs, K. U. Leuven, Belgium, September 2009
• Daan Fierens, K.U. Leuven, Belgium, July 2008

(Co-) Supervised PhD Theses

• Marion Neumann, "Relational Continuous Models", ongoing
• Mirwaes Wahabzada, "Relational Latent Space Models", ongoing
• Babak Ahmadi, "Reasoning about and Learning from Large-Scale Noisy Data in Rich Representations", ongoing
• Fabian Hadiji, "Inference and Learning in Weighted Logics with Applictions to Multi-Media Mining", ongoing
• Ahmed Jawad, "Machine Learning for Visual Analytics", ongoing   

(Co-) Supervised Master Theses

• Marion Neumann, "Empricial Traffic Analysis with Gaussian Processes", 2009
• Hannes Schluz, "Euclidean Embedding of Co-proven Queries", 2009
• Ingo Thon, "Dynamic Probabilistic Models over Interpretations", 2006.
• Angelika Kimmig, "Learning Stochastic Logic Programs.", 2005.
• Bernd Gutmann, "Relational Conditional Random Fields (for Logical Sequences)", 2005.
• Alexandru Cocora, "Learning Relational Navigation Policies", 2005.
• Joerg Fischer, "Asynchronous Relational Value Iteration", 2005.
• Tayfun Guerel, "Naive Graph Labelling", 2005.
• Steven Ganzert, "Using Equation Discovery for Finding ARDS-Lung Models: A Case Study", 2003.
• Livia Predoiu, "Bayessche Datalog Programme", 2003.  

(Co-) Supervised Bachelor Theses

• Eva Zielasko, "Web Page Classification using Link-Information", 2009.
• Alexander Vasiliev, "Visualization of Research Topics of Unstructured Collections of Publications", 2009 

(Co-) Supervised Student Research Projects

• Michael Haimes, "First-Order Variable Elimination", 2007
• Zuoyu Tao, "Belief Point Updates for POMDPs", 2007
• Uwe Dick, "Relational Fisher Kernels", 2005.
• Hans-Martin Schultze, "Information Extraction with LOHMMs Learned by Stochastic Optimization", 2005.
• Bernd Gutmann, "Relational Influence Diagrams", 2005.
• Alexandru Cocora, "Discriminative Learning for Logical Sequences", 2004.
• Ingo Thon, "Logical Markov Models", 2004.
• Christian Stolle, "Learning from Random SAT", 2004.
• Gerrit Merkel, "Information Extraction using Logical Hidden Markov Models", 2003.
• Joerg Fischer, "SCGEM - A Fast Acceleration of EM", 2003.
• Victoria Polzer, "Learning Patterns for Information Extraction with TILDE: A Case Study on Chemical Abstracts", 2003.
• Niels Landwehr, "EM and Gradient-Based Learning of Bayesian Networks: A Case Study", 2002.
• Steven Ganzert, "Analyse von Daten einer klinischen Multicenterstudie zur mechanischen Beatmung von Adult Respiratory Distress Syndrome (ARDS) - Patienten mit Methoden der Knowledge Discovery in Databases (KDD)", 2001.  

CV (Curriculum Vitae)

Fraunhofer Attract Fellowship (2008). EURO500.000/annum granted by the Fraunhofer-Gesellschaft for building up a research group on statistical relational activity mining.

ECCAI 2006 Artificial Intelligence Dissertation Award. Award for the best European Dissertation in the field of AI. Awarded annually by ECCAI, the European Coordination Committee for Artificial Intelligence.

ECML06 Student Best Paper Award for the paper entitled "TildeCRF: Conditional Random fields for Logical Sequences" co-authored with Bernd Gutmann. The ECML Student Best paper Award was sponsored by the Machine Learning Journal.

Wolfgang-Gentner-Nachwuchsfoerderpreis 2000. Award for outstanding CS diploma thesis at the CS department of the University of Freiburg, Germany (shared with Felix Klaedtke).

Attached Files