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Prof. Jan Lemeire

ETRO Professor

Biography Research Publications
Short CV

1998: Warmoes & Van Damme

1995-1997: Cap Gemini

1994 - 1995: Gediplomeerde in de Gespecialiseerde Studies in Computer Science, VUB

1989 - 1994: Burgerlijk Elektrotechnisch Ingenieur, VUB

Biography

Jan graduated from the VUB in 1994 and received his (masters) diploma of electrotechnics engineer. He did his thesis at the VUB Artificial Intelligence-lab in the context of expert systems. Then completed his studies with an additional masters degree in Computer Science (Faculty of Science), also at the VUB, in 1995.

At the start of his professional carreer, Jan worked for 3.5 years in the private sector: first as a programmer for Cap Gemini, an IT consulting firm, then for Warmoes & Van Damme, a company specialised in knowledge systems (now, partly Aktor). He developed his professional skills during these years, but also found out that research is his real passion. He therefore returned to the academic world to prove himself in a scientific carreer...

At first he was allocated on a project with Alcatel Bell on parallel simulation. In march 2001 he was employed as an assistent, teaching with a lot of enthusiasm and combining it with pursuing a PhD about parallel performance analysis and causal inference. In December 2007 Jan received his PhD and got a postdoc position as VUB doctor-assistant. Since then he participated in several projects focusing on probabilistic models and GPU computing.

In October 2008 he got a part-time professorship at the Electronics and Informatics department (ETRO), in which he is responsible for the master course Parallel Systems and, since October 2011, the bachelor course 'Informatica'. Since October 2012 he is for 50% part of the department of Industrial Sciences (INDI), for which he teaches Operating Systems and Computer Architecture. At present, he is promotor of 5 PhD candidates.


Recent - PUBLICATIONS

“Optimized Wavelet-Based Texture Representation and Streaming for GPU Texture Mapping”

In Multimedia Tools and Applications

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“Efficient and Effective Learning of HMMs Based on Identification of Hidden States”

In Mathematical Problems in Engineering

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“A novel MPI reduction algorithm resilient to imbalances in process arrival times”

In The Journal of Supercomputing

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other recent publications ...

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