Profile
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Hadi Fanaee-T

Bio

Short Bio: Hadi Fanaee-T received his PhD degree (with distinction) in Computer Science from Faculty of Science of University of Porto, Portugal in November 2015. He is a postdoctoral fellow at the department of biostatistics, University of Oslo, Norway working on high demensional 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. 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 at the summer school on "mining big and complex data" held in Ohrid, Macedonia, September 2016. He is co-advisor of one PhD student, one visiting PhD student, and two research fellows. He is also the leader and main developer in SimTensor software project.

Editorial Board Memberships

Hadi is not currently contributing as an editor for any journal or publisher.

Past Memberships
Pre Publication Reviews

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Reviews

22

Reviews (last 12 months)

9

Reviews (average per year)

5

Merit

66

Openness

0.0%

Acceptance rate

25.0%


Journal Impact factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Hadi Fanaee-T has reviewed for.

Hadi Fanaee-T

Computer Science (all) reviewers

Total reviews over time

A cumulative record of Hadi Fanaee-T's total number of reviews.

Reviews per month

The total number of reviews performed by Hadi Fanaee-T each month.

Average review length

The average number of words per review (for which we have content), compared to the average of Computer Science (all) reviewers and the average of reviewers at affiliated institutions.

Weekly review punchcard

The distribution of days that reviews were performed on, compared to Computer Science (all) reviewers and reviewers at affiliated institutions.