Chris Develder currently is associate professor with the research group IDLab1 in the Dept. of Information Technology (INTEC) at Ghent University - imec2, Ghent, Belgium. He received the MSc degree in computer science engineering and a PhD in electrical engineering from Ghent University (Ghent, Belgium), in Jul. 1999 and Dec. 2003 respectively (as a fellow of the Research Foundation, FWO). From Jan. 2004 to Aug. 2005, he worked for OPNET Technologies3, on (optical) network design and planning. In Sep. 2005, he re-joined INTEC as a postdoctoral researcher, and as a postdoctoral fellow of the FWO since Oct. 2006 (until 2012). In Oct. 2007 he obtained a part-time, and since Feb. 2010 a fulltime professorship at Ghent University. He has stayed as a research visitor at UC Davis (Jul.-Oct. 2007), CA, USA and at Columbia University, NY, USA (Jan. 2013 - Jun. 2015). He was and is involved in various national and European research projects (e.g., IST David, IST Phosphorus, IST E-Photon One, BONE, FP7 Alpha, FP7 Geysers, FP7 Increase, FP7 C-DAX).
Chris currently leads two research teams within IDLab, one on converting text to knowledge (mostly information extraction and NLP), the other on data analytics and machine learning for smart grids. His research interests also still include optical networks (dimensioning, modeling, optimization, esp. for grid/cloud computing). He regularly serves as reviewer/TPC member for international journals and conferences (IEEE/OSA JLT, IEEE/OSA JOCN, IEEE/ACM Trans. Networking, Computer Networks, IEEE Network, IEEE JSAC, IEEE Commun. Mag., IEEE Trans. Smart Grid; IEEE Globecom, IEEE ICC, IEEE SmartGridComm, ECOC, ACM SIGIR, ACM CIKM, etc.). He is Senior Member of IEEE and Member of ACM.
1: IDLab is the integration of the former research groups DSLab, IBCN and MOSAIC.
2: Since Sep. 2016, the former research center iMinds has been officially merged into imec.
3: In Oct. 2012, OPNET was acquired by Riverbed.
Upcoming/recent talks by Chris:
I am always willing to discuss with prospective PhD students whose research interests match with mine. Feel free to go through some of our team's recent papers to get a grasp of what our research deals with, before contacting me. Also, note that I take the liberty to ignore generic emails that do not show a genuine interest in and understanding about the research area.
A short intro to the topics we are working on is outlined on the IDLab research group's pages, both for the text-to-knowlege team (focusing on information extraction and NLP) and for the data analytics and machine learning work on smart grids.