Academic staff :
Prof. J. Hancq heads TCTS Lab since Jan. 2002. He teaches Logic Systems, Computer Architectures, Industrial Automata, and Filter Theory.
His research interests are in sofware and harware applications of signal processing. He heads the Hardware for Signal Processing
Prof. T. Dutoit teaches Circuit Theory, Signal Processing, Applied Signal Processing, and Biomedical Signal processing.
His research interests are in speech and audio processing, biomedical signal processing, as well as in real-time signal processing.
He heads the numediart
Institute for New Media Art Technology.
Bernard Gosselin is professor of Image and Information Processing at the
Faculty of Engineering, Mons. He is also Research Consultant at Multitel
Research Center, where his responsibilities cover image processing and video
activities. Since 2001, he has been heading the Image Processing Research
Group at the Faculty of Engineering, Mons.
He is a member of program committees of several international journals and
conferences on image processing, artificial intelligence, and pattern
recognition. He is author or co-author of more than 50 international
publications in journals and conference proceedings. He has been invited
speaker in several conferences, and visiting professor at the University of
Scientific staff :
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [X] [Y] [Z]
Alessandra BANDRABUR holds an Electronics Engineering degree (Ir.) from Polytech Bucharest, Romania and a master degree in Advanced Techniques in Imaging Processing (MSc.). She also holds a PhD in Electrical engineering and Telecommunications at Polytech Bucharest, Romania since 2016.
Her work is based around facial analysis, emotion detection and human attention prediction.
Radhwan Ben Madhkour holds an Electrical Engineering degree from the FPMs since June 2008. He did his master's thesis in the field of Image Coders. He joined the Numediart program in May 2009.
HÃ¼seyin Ã‡akmak holds a double degree in Aeronautics from the Higher Institute of Aeronautics and Space (ISAE) and in Electrical Engineering from the Polytechnic Faculty of Mons (FPMS). In 2013, he won a FRIA grant to continue with a PhD thesis. In 2016, he obtained his PhD on audiovisual laughter synthesis based on a statistical approach. His research interests are audio and visual synthesis and recognition.
Pierre-Henri De Deken holds a Master's Degree of Electrical Engineering, specialized in Biosystems Engineering, at the University of Mons (since 2014) and a Bachelor's Degree of Computing Technology at HELHa (since 2009). His master thesis was performed at Fishing Cactus (Belgian video game development studio) and dealt with Video Real Time Analysis of the hand's position on the face.
He is currently working on a serious game to help in the rehabilitation of hemiplegic patients for the ROBIGame project.
Jean-Benoit Delbrouck holds a computer science degree from the University of Lille. He studied machine learning and data science during his MoCAD (ModÃ¨les Complexes, Algorithmes et DonnÃ©es) master. He is currently pursuing a PhD thesis on Grounding and Pragmatics for Improved Computer Understanding in Situated Human-Computer and Human-Robot Interactions. Most of its work focuses on Natural Language Processing with multiple modalities.
Dr. StÃ©phane Dupont received the PhD
degree in Electrical Engineering at FPMs (Belgium) in 2000. He has been
a visiting researcher at IDIAP (Switzerland) in 1997. Dr Dupont has also
been a post-doctoral associate at the ICSI (California) in 2001-2002.
There, he participated to the ETSI standardization activity on robust
distributed speech recognition over wireless networks (Aurora). In 2002,
he joined Multitel (Belgium), a research and innovation center, to be
in charge of speech recognition research. There, he coordinated several
projects, including the EU FP6 DIVINES project. He joined TCTS Lab in
2008, and is involved in the Numediart
programme. Dr. Dupont
interests are in multimodal and speech interaction technologies,
computer music, neural networks, pattern recognition and signal processing.
KÃ©vin El Haddad graduated from the Lebanese University in 2013 in Beirut, Lebanon. He was enrolled in an internship in the company ST-Ericsson (France, Grenoble) for his master's thesis where he studied the ferrite (component used for EMI suppresion) effects on the sound quality of signals. He holds now a master degree in microsystems and embedded systems.
He began a Ph.D. in January 2014 in UMONS, as part of a European project (JOKER), concerning the recognition and synthesis of affect signals.
Phutphalla KONG comes from Cambodia. He is a Ph.D candidate who have granted scholarship of ARES-CCD. His research topic is "Visual Attention: Top-down and Memory Information" which is supervised by prof. Bernard GOSSELIN and Dr. Matei MANCAS. Moreover, he will stay in Belgium 6 months and in Cambodia 6 months.
tel :+32 (0) 65 37 47 46
Sohaib Laraba is a PhD student at the TCTS lab of the University of Mons (UMONS) and his research includes stylistic gestures analysis and recognition using different motion capture systems and exploring high level motion features in addition to Human-Machine interactions.
He is also a research assistant at UMONS and he works on the European project i-Treasures. He works on the Analysis of a traditional dance from the Walloon region (south) of Belgium using different motion capture technologies. The objective is the safeguarding and transmission of this dance.
Matei MANCAS holds an ESIGETEL Audiovisual Systems and
Networks engineering degree (Ir.), and a Orsay Univ. D.E.A. degree (MSc.) in Information Processing. He also holds a PhD in applied sciences from the FPMs on computational attention since 2007.
His research deals with signal saliency and understanding.
More details on Computational Attention can be found on this dedicated page. Part of this research is done for artisitic purposes within the numediart institute.
Pierre Marighetto holds an Applied Mathematics and Computer Science Engineering degree from ENSEEIHT
in Toulouse (France) and a Master's degree from INP
de Toulouse, since 2013. He started his PhD in January 2015, joint between the University of Mons and the University of Ottawa
. His PhD is under the supervision of Bernard Gosselin and Matei Mancas in Belgium, and Robert Laganiere in Canada. His work is based around human visual attention and video protection.
Gueorgui Pironkov holds an Electrical Engineering degree from ISEN
(Institut SupÃ©rieur d'Ã‰lectronique et du NumÃ©rique) in Lille (France) since 2013. He did his master thesis at Philips Research
(Eindhoven, Netherlands) and worked on speech enhancement for speech recognition. He started his PhD in January 2014 under the supervision of Thierry Dutoit and StÃ©phane Dupont in the field of speech recognition and synthesis using deep neural network.
FranÃ§ois Rocca holds an Electrical Engineering degree from the FPMs since June 2011. He did his master's thesis in the field of emotional speech analysis, and more especially on laughter frequencies estimation. He is currently pursuing a PhD thesis on facial animation by motion capture using audio-visual fusion.
JoÃ«lle Tilmanne is a postdoctoral researcher at UMONS and is the head of the motion capture and analysis research group at the numediart institute
. She holds a PhD in Applied Sciences from UMONS Faculty of Engineering
since 2012, in the field of motion capture data analysis and Hidden Markov Model based motion synthesis. She is co-founder of Hovertone
, a young startup active in the domain of creative experience design.
MickaÃ«l Tits holds a degree of Electrical Engineering, specialized in Multimedia and Telecommunications, at the Engineering Faculty of the University of Mons (since 2014). His master thesis was performed at the Center for Interdisciplinary Research in Music Media and Technology (CIRMMT), at McGill University (Montreal, Canada), and was focused on the capture and analysis of pianists' expert gestures. He is currently pursuing a PhD thesis on analysis of expert gestures through motion capture using statistical modeling and machine learning.
Technical and administrative staff :