Hadi Fanaee-T, PhD

Postdoctoral Researcher - University of Oslo, Norway

E-mail: hadift@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. Right now 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 Senior PC member for IJCAI2015, PC Member for ECML-PKDD 2013-15 and also reviewer for TDKE, DMKD, ML, KAIS, KBS, CSUR and many more scientific venues. He was invited talk ( videolectures ) at the summer school on "mining big and complex data" held in Ohrid, Macedonia, September 2016. He is co-adviser of a PhD student, a visiting PhD student, and two research fellows. He is also the leader and main developer in SimTensor project.



Research Interests



Education



Mentoring



Invited Talk



Scientific Services

Editorial Board

Program Committee member

Journal Reviewer

External Reviewer



Professional Membership



Honors & Awards



Research Project and Grants



Teaching



Work



Publications


Journals

  1. Hadi Fanaee-T, Joao Gama, SimTensor: A synthetic tensor data generator, arXiv preprint arXiv:1612.03772 (2016).
  2. 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, June 2015, IOS Press. DOI: 10.3233/IDA-150734 (Impact Factor : 0.77)
  3. Hadi Fanaee-T, Joao Gama, Eigenspace Method for Spatiotemporal Hotspot Detection, PP. 454-464, Vol. 32, No. 3, Expert Systems, June 2015, Wiley. DOI: 10.1111/exsy.12088 (Impact Factor : 1.18)
  4. 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, June 2014, Springer. DOI:10.1007/s13748-013-0040-3 (~80 citations)
  5. 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, April 2013. IACSIT Press. DOI: 10.7763/IJCTE.2013.V5.704
  6. Hadi Fanaee-T, Joao Gama, Multi-aspect-streaming tensor analysis, Knowledge-Based Systems, Vol 89, PP. 332-345, Nov 2015, Elsevier. DOI:10.1016/j.knosys.2015.07.013 (Impact Factor : 4.53)
  7. Hadi Fanaee-T, Joao Gama, Tensor-based anomaly detection: An interdisciplinary survey, Knowledge-Based Systems, Vol 98, PP. 130-147, April 2016, Elsevier, DOI: 10.1016/j.knosys.2016.01.027 (Impact Factor : 4.53)
  8. Hadi Fanaee-T, Joao Gama, Event detection from traffic tensors: a hybrid model, Neurocomputing, Volume 203, August 2016, Pages 22-33, Elsevier, DOI: 10.1016/j.neucom.2016.04.006 (Impact Factor : 3.32)


Conferences

  1. Hamid Eslami Nosratabadi, Hadi Fanaee-T, Joao Gama, Mobility Mining using Nonnegative Tensor Factorization, 18th Portuguese Conference on Artificial Intelligence (EPIA'2017), pp.321-330, 2017. (ISI)
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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


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