Tias Guns
tias.guns
@
vub.be
(+32) 2 614 83 21
04.29, Pleinlaan 5

I am assistant professor at the VUB (Vrije Universiteit Brussel) in the Capital of Europe: Brussels, Belgium. I am part of the Data Analytics lab and the MOBI research center. I also have a fellowship from the FWO, flanders and am associated with the DTAI lab at the KU Leuven.

 

My research lies on the border between data mining and constraint solving. My main research interest is in integrating domain expertise and user constraints into data analytics tasks, including advanced integrations of machine learning and operations research.

Updates

more...

Selected publications

Full list: VUB repository -- DBLP -- KULeuven repository

NOT UP TO DATE!

Awards

Organisation

NOT UP TO DATE!

Conferences and workshops

Editorial

AIJ Special Issue: CoCoMile on COmbining COnstraint solving with MIning and LEarning (2014 -- 2015).

Reviewer

Conferences: PKDD 2010, ICDM 2011, ECMPLKDD 2011, IJCAI 2011, ICDM 2012, ILP 2012, SDM 2012, ECAI 2012, IJCAI 2013, ECMLPKDD 2013, CPAIOR 2014, CP 2014 (Doctoral Program), ECAI 2014, IDA 2014, AAAI 2015, CPAIOR 2015, CP 2015, AAAI 2016, LION 2016, KDD 2016.
Journals: AIJ, DMKD, TKDD and Constraints.

Teaching

NOT UP TO DATE!

Lector

Teaching assistent

Guest lectures

Supervised seven bachelor and master thesis students [2009-present].

Science communication

Collaborate

I happily collaborate with researchers from KU Leuven, UC Louvain, Ghent University, University of Bologna, University of Melbourne, Monash university and more. Feel free to contact me.

At the Data Analytics lab we offer academic consulting as well as project-based research collaborations for companies. Companies based in Brussels can access additional funding opportunities with us through Innoviris.

Looking to start a PhD? We'll have some open positions soon, contact me.

Software

All my software is open source and my papers are freely available online, following good open science practice.

Most older software is on my Constraint Programming for Itemset Mining (CP4IM) page. To be listed below too... (and educational: including pokerdemo, SAT game and coderdojo web programming and simple-top-viewer)

The fantastic and scalable sequence mining on top of the Oscar solver with John Aoga and Pierre Schaus is available at their website.