About me

I am an Assistant Professor at the University of Helsinki in Finland, where I lead a research group on Data science and evolution. I am also affiliated with the Finnish Museum of Natural History (LUOMUS).

Projects

I am/have been involved in these funded projects:

• @University of Helsinki

  • ECHOES - The Ecological Context of Human Origins and its Evolutionary Significance (researcher), 2015-2017

• @Aalto University

  • TrafficSense – Energy Efficient Traffic with Crowdsensing (researcher), 2013 - 2017 

  • MultiTree — Multi-scale modelling of tree growth, forest ecosystems, and their environmental control (researcher), 2012 - 2016

• @BPTI

  • RePOZ Closed loop real-time patient positioning feasibility study (consultant) - funded by EU/LT (Intelektas LT), 2012-2013

• @Bournemouth University

  • Handling Multiple Adaptive Elements in Predictive Modelling with Streaming Data (PhD co-supervisor) - funded by BU, 2011-2014

  • INFER Computational Intelligence Platform for Evolving and Robust Predictive Systems (research task leader) - funded by EU FP7, 2010-2014

• @Eindhoven University of Technology

  • CAPA Context Awareness in Predictive Analytics (researcher) - funded by STW (NWO), 2011-2015

  • Food Sales Prediction (researcher)

  • CFB Boilers Sensors Data Mining (researcher)

Professional Activities

Editorial activities

• Editorial Board member for Data Mining Knowledge Discovery journal (Springer) 2016-2018

• Journal track chair for ECMLPKDD'15 (Porto, Portugal)

• Member of Guest Editorial Board for ECMLPKDD'14 journal track, 2017, 2018

• Guest Editor for the special issue on Handling Concept drift in Adaptive Information Systems at Evolving Systems journal

Program Committee Membership

KDD-applied'21, ECMLPKDD'21

KDD-applied'19, NeurIPS'19, MACLEAN2019, IoT-Stream'19

ECMLPKDD'18, DSDAH'18, IDA18, IOTSTREAM18, KDD'18-applied,

ECMLPKDD'17 (Area Chair), SAC'17 - Data Streams,

IDA'15, IDA'16, IVUS'16, ECMLPKDD'16, PhDforum@ICDM'16,

ECMLPKDD'14, IDA'14, DS'14, IVUS'14, MUD@EDBT/ICDT'14, ILND@ESANN'14, CBMS'14,

ECMLPKDD'13, IJCAI'13, IVUS'13, PROMAMEDS'13@CBMS, SAC'13 - Data Streams, COPEM'13@ECMLPKDD, ICDM'13 PhD student forum,

ECMLPKDD'12, FSKD'12, HAIS'12, ICPRAM'12, PRICAI'12, IID'12@ECMLPKDD, MCDS'12@ADBIS, MMAML'12@ACIIDS, PROMAMEDS'12@CBMS, SAC'12-Data Streams, SDAD'12@ECMLPKDD,

CIDUE'11, ECMLPKDD'11, FSKD'11, HAIS'11, IJCAI'11, ISDA'11, SAC'11-Data Streams, 

CBMS'10, FSKD'10, IVUS'10

Reviewing for journals

• PNAS (2023)

• Acta Astronautica (2022)

• Paleobiology (2022)

• Methods in Ecology and Evolution (2021)

• IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)

• Data Mining and Knowledge Discovery, Springer (2013-2020)

• Machine Learning, Springer (2012-2020)

• Nature (2019-2020)

• Journal of Biomechanics (2019)

• Ecology Letters (2019)

• Palaeogeography, Palaeoclimatology, Palaeoecology (2019)

• Pattern Recognition, Elsevier (2009-2013, 2019)

• International journal of computer vision (2019)

• Palaeobiodiversity and Palaeoenvironments (2018)

• Artificial intelligence review (2017)

• Scientific Reports (2017)

• Evolutionary Ecology Research (2016)

• PLOSI (2016)

• ACM Transactions on Knowledge Discovery from Data (2016)

• IEEE Transactions on Knowledge and Data Engineering (2014-2017,2019)

• IEEE Transactions on Learning Technologies (2015)

• Journal of Machine Learning Research (2013)

• Artificial Intelligence and Law, Springer (2013)

• IEEE Transactions on Neural Networks and Learning Systems (2010-2013,2015-2018)

• Knowledge Information Systems, Springer (2011-2013,2016,2018)

• Information Sciences, Elsevier (2011-2013)

• Information Systems, Elsevier (2011-2012,2015)

• Computational Statistics and Data Analysis, Elsevier (2012)

• Journal of Intelligent Information Systems,  Springer (2012)

• Evolving Systems, Springer (2012)

• Neurocomputing, Elsevier (2012, 2018)

• International Journal of Tourism Research, Wiley (2012)

• IEEE Transactions on Cybernetics (2012, 2018)

• Intelligent Systems in Accounting, Finance and Management, Wiley (2011)

• Advances in Data Analysis and Classification, Springer (2010)

• Journal of Pattern Recognition Research (2009-2010)

• Pattern Recognition Letters, Elsevier (2009)

• Central European Journal of Computer Science (2013)

• European Journal of Operational Research, Elsevier (2008-2009)

• Journal of Graphical and Computational Statistics, ASA (2008)

Reviewing for funding

• Estonian Research Council

Workshop organization

• Co-Chair of RealStream (Real-World Challenges for Data Stream Mining) workshop at ECMLPKDD'13

• Co-Chair of DPADM (Discrimination and Privacy Aware Data Mining) workshop at ICDM'12

• Co-Chair of HaCDAIS'11 workshop at ICDM'11 in Vancouver, Canada

• Co-organizer of INFER-APS'11 workshop in Bournemouth, UK

• Co-Chair of HaCDAIS'10 workshop at ECMLPKDD'10 in Barcelona, Catalonia, Spain

• Co-organizer of DHDHD'10 workshop in Eindhoven, the Netherlands

Tutorials given

Advanced Topics in Data Stream Mining at ECMLPKDD'12

tutorialists: A. Bifet, J. Gama, R. Gavalda, G. Krempl, M. Pechenizkiy, B. Pfahringer, M. Spiliopoulou, I. Žliobaitė 

Handling Concept Drift: Importance, Challenges and Solutions at PAKDD'11

tutorialists: A.Bifet, J.Gama, M. Pechenizkiy, I. Žliobaitė

Handling Concept Drift, in Medical Applications: Importance, Challenges and Solutions at CBMS'10

tutorialists: M. Pechenizkiy, I. Žliobaitė

Learning from Evolving data at ECMLPKDD'10

tutorialists: M. Spiliopoulou, J. Gama, E. Menasalvas, A. Vakali, guest speakers: M. Pechenizkiy, I. Žliobaitė

Invited and Seminar Talks

2018 

• Predictive modeling over evolutionary times at CS Forum, Aalto University slides

• Teeth, diet and environment: some insights into why ecometrics works at Kurten Club, University of Helsinki

2017

• Ecometrics: reconstructing climate of the past via teeth at University of Oslo

• The Law of constant Extinction revisited at CEES Oslo

2016

• Ecometrics beyond limits at Kurtén Club, University of Helsinki slides

2015

• Adaptive learning from evolving data at CEES Oslo

• How can decision making by algorithms discriminate people, and how to prevent that at Centre for Research Methods, University of Helsinki  slides

  • Can algorithms discriminate? at EU Fundamental Rights Agency, Vienna, Austria slides

• Can machines discriminate? and how to avoid that, HIIT seminar, Finland slides

• Pitfalls to avoid in data analysis, Björn Kurtén Club, University of Helsinki

2014

• Regression models for data streams with missing values, LIAAD-INESC TEC, Portugal

2013

• Predictive modeling for streaming data, ENVI summer-seminar, University of Eastern Finland, Finland

• Real-world challenges for mining streaming data:lessons learned in chemical industry, HIIT seminar, Finland

• Mining Evolving Data Streams: challenges and lessons learned in chemical industry, King Abdullah University of Science and Technology, Saudi Arabia

2012

• Towards implementation of an adaptive soft sensor, Evonik Industries, Germany

• Active learning from evolving streaming data

  • LIAAD-INESC TEC, Portugal slides

  • University of Porto, faculty of Electrical engineering, Portugal

• Adaptive learning from drifting data, University of Konstanz, Germany slides

2011

• Active learning with evolving data, Eindhoven University of Technology, the Netherlands slides

• Adaptive pre-processing for streaming data, Workshop on Recent Trends in Machine Learning and Data Mining at UPC Barcelona

• Controlled Permutations for Testing Adaptive Classifiers

  • Bangor University, UK

  • The University of Birmingham, UK. slides

  • Katholieke Universiteit Leuven, Belgium. slides

  • University of Waikato, New Zealand. slides

2010

• Computational Intelligence and Machine Learning Methods for Adaptive Prediction Systems, Bournemouth University, UK.

• Learning with actionable attributes

  • TU Eindhoven slides

  • UPC Barcelona slides

  • University of Waikato, New Zealand slides

• Learning from Evolving Data: an application perspective. Tutorial block with M.Pechenizkiy at ECML/PKDD. slides

• Identifying hidden contexts. DHDHD workshop, TU Eindhoven. slides

• Mokymas besikeičiančioje aplinkoje

  • Vilniaus universitetas, seminaras. slides

  • Matematikos ir informatikos institutas, seminaras.

  • Vytauto Didžiojo universitetas, seminaras.

2009

• Training Instance Selection under Concept Drift

  • TU Eindhoven, invited talk. slides

  • Helsinki University of Technology (HUT), Statistical Machine Learning and Bioinformatics group, seminar.

2008

• Pattern Recognition in the Presence of Concept Drift. Bangor University (UK), School of Computer Science, seminar. slides

2007

• Pattern Recognition under Concept Drift. Druskininkai, Modern Data Mining Technologies, summer school.