Hadi Fanaee-T , PhD

Department of Biostatistics, University of Oslo, Norway

E-mail: h.f.tork@medisin.uio.no
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Short Bio: Hadi Fanaee-T completed his PhD (with distinction) in Computer Science, under supervision of Professor Joao Gama at the Faculty of Science of University of Porto, Portugal in November 2015. He was the finalist in ERCIM Cor Baayen Young Researcher Award 2017. Presently, he is a postdoctoral fellow at the department of biostatistics, University of Oslo, Norway working on high dimensional data integration and analysis with applications to omics data analysis. Prior to this he was a postdoctoral researcher in European FP7 Project "MAESTRA" at INESC TEC research institute, Portugal. His main research interests are interdisciplinary applications of tensor decompositions, data fusion, anomaly/event detection and spatiotemporal data mining. He is the first-author of several journal and conference papers. He has served as a PC member to over 20 prestigious conferences (e.g. IJCAI, AAAI, ECML-PKDD, ISMIS, ACM SAC, IEEE DSAA, etc.) and also reviewer to several high-impact journals (e.g. TDKE, TKDD, DAMI, ML, KAIS, KBS, CSUR). Dr. Fanaee was an invited talk at the summer school on "mining big and complex data" held in Ohrid, Macedonia, September 2016 (watch in videolectures) . He is co-advising three PhD students, and a Master's student. He also concluded the supervision of a visiting PhD student, and a research fellow. He is leading the SimTensor project.



Research Interests



Education



Students



Invited Talk



Scientific Services

Editorial Board

Program Committee member

  1. 34th AAAI Conference on Artificial Intelligence, Feb 7, 2020 - Feb 12, 2020, Hilton New York Midtown, New York, USA (AAAI 2020)
  2. The 35th Annual ACM Symposium on Applied Computing Data Streams Track, March 30 - April 3, 2020, Brno, Czech Republic (ACM SAC 2020)
  3. 5th International Conference on Big Data, Small Data, Linked Data and Open Data, February 23, 2020 to February 27, 2020 - Lisbon, Portugal (ALLDATA 2020)
  4. 2nd International Conference on Big Data Engineering and Technology, Jan 3-5, 2020, Singapore (BDET 2020)
  5. 22nd International Conference on Discovery Science, October 28-30, 2019, Split, Croatia (DS 2019)
  6. 33rd AAAI Conference on Artificial Intelligence, January 27 – February 1, 2019, Hawaii, USA (AAAI 2019)
  7. 28th International Joint Conference on Artificial Intelligence 2019, August 10-16, 2019, Macao, China (IJCAI 2019)
  8. 8th International Workshop on New Frontiers in Mining Complex Patterns (@ECML-PKDD 2019), September 16-20, 2019, Wùzburg, Germany (NFmcp 2019)
  9. 1st International Workshop on IoT Stream for Data Driven Predictive Maintenance (@ECML/PKDD 2019), September 16-20, 2019, Wùzburg, Germany (IoT Stream 2019)
  10. 5th International Conference on Big Data, Small Data, Linked Data and Open Data, March 24-28, 2019 - Valencia, Spain (ALLDATA 2019)
  11. 2nd Workshop on Online Recommender Systems and User Modeling (@RecSys 2019), Sep 2019, Copenhagen, Denmark (ORSUM 2019)
  12. 7th International Workshop on New Frontiers in Mining Complex Patterns (Conj. ECML-PKDD 2018), September 10-14, 2018, Dublin, Ireland (NFmcp 2018)
  13. 27th International Joint Conference on Artificial Intelligence 2018, July 13-19, 2018, Stockholm, Sweden (IJCAI 2018) (+ IJCAI 2018 Sister Conference Best Paper Track)
  14. 2nd International Conference on Big Data Engineering and Technology, August 24-26, 2018, Chengdu, China (BDET 2018)
  15. 24th International Symposium on Methodologies for Intelligent Systems, Oct 28-31, 2018, 2018, St. Raphael Resort, Limassol, Cyprus (ISMIS 2018)
  16. 33rd ACM SIGAPP Symposium On Applied Computing - Data Streams Track (ACM SAC 2018)
  17. 1st Workshop on Online Recommender Systems and User Modeling, April 23rd, Lyon, France (ORSUM 2018)
  18. 21st CSI International Computer Science and Software Engineering Conference, Shiraz, Iran October 25-27, 2017. (CSSE 2017)
  19. 20st IEEE Intelligent Transportation Systems Conference 2017, Yokohama, JAPAN, October 16 - 19, 2017(IEEE ITSC 2017)
  20. 6th International Workshop on New Frontiers in Mining Complex Patterns, ECML-PKDD 2017 (NFMCP 2017)
  21. 32nd ACM SIGAPP Symposium On Applied Computing (ACM SAC 2017)
  22. 4th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2017)
  23. 23rd International Symposium on Methodologies for Intelligent Systems (ISMIS 2017)
  24. 1st International Workshop on Analytics on Evolving Networks, The Hague, Netherlands, 29 August 2016 (AEN 2016)
  25. 1st International Workshop on High Velocity Mobile Data Mining, June 2016, Porto, Portugal (MobDM 2016)
  26. 25th International Joint Conference on Artificial Intelligence 2015, July 25-31, 2015, Buenos Aires, Argentina (Senior PC Member) (IJCAI 2015)
  27. 26st European Conference on Machine Learning and Knowledge Discovery, Porto, Portugal, September 7–11, 2015 (ECMLPKDD'2015 )
  28. 30th ACM/SIGAPP Symposium On Applied Computing, April 13 - 17, 2015, Salamanca, Spain (SAC2015)
  29. 25th European Conference on Machine Learning and Knowledge Discovery, September 15-19, 2014. Nancy, France (ECMLPKDD'2014)
  30. 26th IEEE International Symposium on Computer-Based Medical Systems, June 20-22, Porto, Portugal (CBMS 2013).
  31. 3rd International workshop on Ubiquitous Data Mining, 23rd International Joint Conference on Artificial Intelligence (UDM'2013), Beijing, China, August 3, 2013
  32. 24st European Conference on Machine Learning and Knowledge Discovery, Prague 23‒27 September 2013 (ECMLPKDD'2013)
  33. 2nd International workshop on Ubiquitous Data Mining , 20th European Conference on Artificial Intelligence (UDM'2012), Montpellier, France, August 27 - 31, 2012.
  34. 7st Doctoral Symposium on Informatics Engineering (DSIE'2012), 26-27 January 2012, Porto , Portugal.

Journal Ad-hoc Reviewer

  1. ACM Transactions on Knowledge Discovery from Data, ACM
  2. IEEE Transactions on Knowledge and Data Engineering, IEEE
  3. Knowledge and Information Systems , Springer
  4. Machine Learning , Springer.
  5. Data Mining and Knowledge Discovery, Springer
  6. Journal of Intelligent Information Systems, Springer
  7. Statistical Analysis and Data Mining, Wiley
  8. Knowledge-Based Systems, Elsevier
  9. IEEE/ACM Transactions on Networking, IEEE/ACM
  10. ACM Computing Surveys, ACM
  11. Journal of Intelligent and Fuzzy Systems, IOS Press
  12. Fuzzy Sets and Systems, Elsevier
  13. Progress in Artificial Intelligence, Springer.
  14. International Journal of Distributed Sensor Networks, SAGE
  15. International Journal of Remote Sensing , Taylor & Francis
  16. Computer Methods and Programs in Biomedicine, Elsevier
  17. Computer Science and Information Systems journal, ComSIS
  18. International Journal of Applied Mathematics and Computer Science, AMCS

Conference Reviewer



Professional Membership



Honors & Awards



Research Projects



Teaching



Work



Publications


Journals

  1. Hadi Fanaee-T and Magne Thoresen, Performance evaluation of methods for integrative dimension reduction, Information Sciences, Vol. 493, PP. 105-119, 2019.
  2. Hadi Fanaee-T and Magne Thoresen, Multi-insight visualization of multi-omics data via ensemble dimension reduction and tensor factorization, Bioinformatics, Vol. 35, No. 10, 2019. [Code]
  3. Sofia Fernandes, Hadi Fanaee-T and João Gama, Dynamic graph summarization: a tensor decomposition approach, Data Mining and Knowledge Discovery, Vol 32, No. 1397, 2018. [Code]
  4. S. Ullah, H. Daud, S. Dass, H. Fanaee-T, A. Khalil, An Eigenspace approach for detecting multiple space-time disease clusters: application to measles hotspots detection in Khyber-Pakhtunkhwa, Pakistan, Plos ONE,13(6), 2018.
  5. Hadi Fanaee-T, Joao Gama, Tensor-based anomaly detection: An interdisciplinary survey, Knowledge-Based Systems, Vol 98, PP. 130-147, 2016.
  6. Hadi Fanaee-T, Joao Gama, Event detection from traffic tensors: a hybrid model, Neurocomputing, Volume 203, August 2016, Pages 22-33, 2016. [Please contact me for Code]
  7. Hadi Fanaee-T, Joao Gama, Multi-aspect-streaming tensor analysis, Knowledge-Based Systems, Vol 89, PP. 332-345, 2015. [Code]
  8. Hadi Fanaee-T, Joao Gama, Eigenspace Method for Spatiotemporal Hotspot Detection, Expert Systems, PP. 454-464, Vol. 32, No. 3, 2015.
  9. Hadi Fanaee-T, Joao Gama, EigenEvent: An Algorithm for Event Detection from Complex Data streams in Syndromic Surveillance , Intelligent Data Analysis , PP. 597-616, Vol. 19, No. 3, 2015.[Code]
  10. Hadi Fanaee-T, Joao Gama, Event Labeling Combining Ensemble Detectors and Background Knowledge , Progress in Artificial Intelligence, PP. 113-127, Vol 2, No.2-3, 2014.
  11. Hadi Fanaee-T, Mehran Yazdi, A Semantic VSM-Based Recommender System, International Journal of Computer Theory and Engineering, PP. 331-336, Vol. 5, No. 2, 2013.


Conferences

  1. Sofia Fernandes, Hadi Fanaee-T and João Gama, Evolving social networks analysis via tensor decompositions: from global event detection towards local pattern discovery and specification, 22nd International Conference on Discovery Science (DS'2019)
  2. Sofia Fernandes, Hadi Fanaee-T and João Gama, The Initialization and Parameter Setting Problem in Tensor Decomposition-Based Link Prediction, IEEE International Conference on Data Science and Advanced Analytics (DSAA'2017), pp. 99-108.
  3. Hamid Eslami Nosratabadi, Hadi Fanaee-T, Joao Gama, Mobility Mining using Nonnegative Tensor Factorization, 18th EPIA Conference on Artificial Intelligence (EPIA'2017), pp.321-330, 2017.
  4. Z. Souzanchi-k, Hadi Fanaee-T, H. Yaghoubi, M-R Akbarzadeh-T, A multi Adaptive Neuro Fuzzy Inference System for short term load forecasting by using previous day features, In the proceedings of 2010 IEEE International Conference On Electronics and Information Engineering (ICEIE'2010), vol.2, no., pp.V2-54,V2-57, 1-3 Aug. 2010. DOI: 10.1109/ICEIE.2010.5559714
  5. Hadi Fanaee-T, Márcia D. B. Oliveira, João Gama, Simon Malinowski, Ricardo Morla, Event and Anomaly Detection Using Tucker3 Decomposition, In Proceedings of 20th European Conference on Artificial Intelligence (ECAI'2012)- UDM Workshop, CEUR Workshop Proceedings , Vol 960, PP. 8-12, 2012, RWTH Aachen, Germany. DOI:10.13140/RG.2.1.2370.9286
  6. Hadi Fanaee-T, Finding the best ranking model for spatial objects, In Proceedings of 20th European Conference on Artificial Intelligence (ECAI'2012)- UDM Workshop, CEUR Workshop Proceedings , Vol 960, PP. 58-60, 2012, RWTH Aachen, Germany. DOI:10.13140/RG.2.1.2895.2164
  7. Hadi Fanaee-T, Joao Gama, An Eigenvector-based Hotspot detection, In the proceedings of 16th Portuguese Conference on Artificial Intelligence (EPIA'2013), Acores, Portugal, PP. 290-301, 9-12 September 2013. ISBN: 978-989-95489-1-6. DOI:10.13140/RG.2.1.4992.3686
  8. Hadi Fanaee-T, Mehran Yazdi, A Novel Ontology-based Recommender System for online forums , In Proceedings of 2011 3rd IEEE International Conference on Information Management and Engineering (ICIME'2011), PP. 183-189, Vol.5, May 21-22, 2011, Zhengzhou, China. ISBN: 978-981-07-2866-3, DOI:10.13140/RG.2.1.2633.0724
  9. Hadi Fanaee-T, Ana Maria Tome , Jose Manuel Matos Moreira, Ranking of Spatial Polygons based on their neighbor facilities quality , In Proceedings of 17th Portuguese Conference on Pattern Recognition (RecPad'2011) , 28 Oct 2011, Porto , Portugal. ISBN: 978-989-8331-15-1. DOI:10.13140/RG.2.1.3288.4327
  10. Hadi Fanaee-T, Marcia Oliveira , Joao Gama, Anomaly detection from telecommunication data using three-way analysis, In Proceedings of 20th Congress of the Portuguese Statistical Society (SPE'2012), PP. 557-562, Vol.1 , 26-29 September 2012, Porto, Portugal. ISBN: 978-972-8890-32-2. DOI:10.13140/RG.2.1.4337.0082
  11. Hadi Fanaee-T, Spatio-Temporal Clustering Methods Classification, In Proceedings of Doctoral Symposium on Informatics Engineering (DSIE'2012), PP. 199-209, Vol.1, 26-27 January 2012, Porto , Portugal. DOI:10.13140/RG.2.1.3812.7204


Thesis and Pre-prints

  1. Hadi Fanaee-T, Tensor-based Event Detection, PhD Thesis, Faculty of Sciences of University of Porto, Portugal, Nov 2015.
  2. Hadi Fanaee-T, Joao Gama, SimTensor: A synthetic tensor data generator, arXiv preprint arXiv:1612.03772 (2016). [Code]


Data Sets

  1. Hadi Fanaee-T, Bike Sharing Dataset, UCI Machine Learning Repository, [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.


Software

  1. SimTensor Software Project ( Tensor data generator for evaluation of tensor factorization algorithms)- Github link





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