+49-6151-16-24411 kersting (at) cs (dot) tu-darmstadt (dot) de
Meetings by appointment, general consultation: thursdays, 13:30-14:30 o'clock
In case of important requests, please make sure to contact my administrative assistant Ira Tesar.
Mission. My team and I in the Machine Learning group would like to make computers learn so much about the world,
so rapidly and flexibly, as humans. This poses many deep and fascinating scientific problems:
How can computers learn with less help from us and data? How can computers reason about and learn with complex
data such as graphs and uncertain databases? How can pre-existing knowledge be exploited? How can computers
decide autonomously which representation is best for the data at hand? Can learned results be physically
plausible or be made understandable by us? How can computers learn together with us in the loop? To this end,
my team and I develop novel machine learning (ML) and artificial intelligence (AI) methods, i.e., novel computational methods that contain and combine for example search, logical and probabilistic techniques as well as (deep) (un)supervised and reinforcement learning methods.
Bio. Kristian Kersting is a Professor (W3) for Machine Learning at the Computer Science Department of the TU Darmstadt University, Germany, where he heads the machine learning lab. He is also a Deputy Director of the Centre for Cognitive Science. After receiving his Ph.D. from the University of Freiburg in 2006, he was with the MIT, Fraunhofer IAIS, the University of Bonn, and the TU Dortmund University, where he was a member of the DFG CRC 876 "Providing Information by Resource-Constrained Data Analysis" and also a Co-Director of the Dortmund Center for Data-Based Media Analysis (DOCMA). His main research interests are statistical relational artificial intelligence (AI), probabilistic deep learning, machine learning, and data mining, as well as their applications. Kristian has published over 160 peer-reviewed technical papers and co-authored a book on statistical relational AI. He received the European Association for Artificial Intelligence (EurAI, formerly ECCAI) Dissertation Award 2006 for the best AI dissertation in Europe, a Fraunhofer Attract Research Grant with a budget of 2.5 Million Euro over 5 years (2008-2013), two best-paper awards (ECML 2006, AIIDE 2015), one best poster award (GIS 2011), one best presentation award (NC^2 2015), two outstanding PC/reviewer awards (AAAI 2013, ECCV 2016), a Distinguished Lecturer Award from the University of Jena (2017). In 2019 he was named Top 100 Influential Scholar 2018 for Aritificial Intelligence by AMiner. Kristian was also an ERCIM Cor Baayen Award 2009 finalist, gave several tutorials at top conferences, co-chaired several international workshops such as BeyondLabeler, BUDA, CMPL, CoLISD, DeLBP, DS+J, MLG, SRL, and SymInfOpt as well as the AAAI Student Abstract track and the Starting AI Research Symposium (STAIRS), and cofounded the international workshop series on Statistical Relational AI (StarAI). He regularly serves on the PC (often at senior level) for several top conference, co-chaired the PC of ECML PKDD 2013 and UAI 2017, and is an elected PC co-chair of ECML PKDD 2020. He is the founding Speciality Co-Editor-in-Chief for Machine Learning and AI of Frontiers in Big Data, and is (past) action editor of TPAMI, JAIR, AIJ, DAMI, and MLJ as well as on the editorial boards of KI, NGC, Information, and Big Data and Cognitive Computing.
|2017 - now:||Full Professor (W3) for Machine Learning at the CS Department of the TU Darmstadt, Germany|
|2013 - 2017:||Associate Professor (W2) for Data Mining at the CS Department of the TU Dortmund, Germany|
|2012 - 2013:||Assistant Professor (W1) for Spatio-Temporal Pattern in Agriculture at the Faculty of Agriculture of the University of Bonn, Germany|
|2008 - 2012:||Research group leader at the Fraunhofer IAIS, Germany, supported by a "Fraunhofer Attract" grant of 2.5 Million Euros|
|2007:||PostDoctoral Associate at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), USA, working with Leslie Kaelbling, Josh Tenenbaum, and Nicholas Roy.|
|2000 - 2006:||Ph.D. student at the CS Department of the University of Freiburg, Germany, working with Luc De Raedt (supervsior) and Wolfram Burgard.|
|1996 - 2000:||Diploma in Computer Science at the CS Department of the University of Freiburg, Germany|
Workshop and Symposium Organization
Selected Program Committees/Reviewing
NIPS 2019 (Area Chair), IJCAI 2019 (SPC), KDD 2019 (SPC), AKBC 2019, AAAI 2019 (SPC, Senior Member Track, Demo Track), ICML 2019, ICLR 2019, NIPS 2018, ICDM 2018, BNAIC 2018, ICLR 2018, NAMPI 2018, AIKE 2018, AIMSA 2018, ILP 2018, TPM 2018, DSAA 2018, CP 2018, MLG 2018, KI 2018, NAACL-HLT 2018, WWW 2018, CVPR 2018, IJCAI-ECAI 2018 (AC), KDD 2018 (SPC), ICRL 2018, SIGMOD 2018, AAAI 2018 (SPC, Senior Member Track), ILP 2018, ECMLPKDD 2017 (Nectar, PhD), ICDM 2017, CEx 2017, ENIC 2017, GenPlan 2017, KDML 2017, NLP/Journalism 2017, ISWC 2017, SIGMOD 2017, MLG 2017, SUM 2017, IJCAI 2017 (SPC), AAAI 2017 (SPC), MLSA 2017, KI 2017, ACML 2016 (SPC), ICDM 2016, UAI 2016, ECCV 2016, ECML PKDD 2016 (AC), ECAI 2016, IJCAI 2016, ICML 2016, KDD 2016 (AC), AAAI 2016 (SPC), DS 2016, KI 2016, MOD 2016, ICDM 2015, NIPS 2015, ECML PKDD 2015 (GEB, AC), IJCAI 2015 (SPC), MPD 2015, SUM 2015, CVPR 2015, ICML 2015, CoDS 2015, AAAI 2015 (Main, AIW), AAAI 2014 (SPC, SM, SA) , ECML PKDD 2014 (GEB, AC), ICDM 2014 (AC), ECAI 2014 (AC), PODS 2014, KDD 2014 (PC and Best Paper Award Committee), UAI 2014, NIPS 2014, SDM 2014, ACML 2014 (AC and Best Paper Award Committee), CIKM 2014 (KM Track), ESWC 2014, ILP 2014, KR 2014, PGM 2014, DS 2014, CoDS 2014, DATA 2014, LTPM 2014, Know@LOD 2014, MUSE 2014, SenseML 2014, ICML 2010 (AC and Best Paper Award Committee)