Research

Biography

Hubert Cecotti is currently an Associate Professor in the department of Computer Science at the College of Science and Mathematics at Fresno State, Fresno, CA, USA. HC received the MSc and PhD degrees in computer science from the University of Lorraine, Lorraine, France, in 2002 and 2005, respectively. He was a Lecturer in computer science with the University Henri Poincare and ESIAL, Nancy, France, in 2006 and 2007. From 2008 to 2009, he was a Research Scientist with the Institute of Automation, Bremen University, Bremen, Germany, where he conducted research on brain-computer interfaces (BCIs) and was the first to propose convolutional neural networks to process EEG signal for the detection of event-related potentials and steady state visual evoked potentials. In 2010, he was a researcher at the Gipsa-Lab CNRS, Grenoble, France, where he worked on sensor selection and spatial filtering for the P300 BCI. From 2011 to 2013, he was at the University of California Santa Barbara, Santa Barbara, CA, USA, where he was involved in electroencephalography signal processing and machine learning in projects related to the study of attention. He was a Lecturer with the School of Computing and Intelligent Systems, Ulster University, Londonderry, UK, from 2014 to 2017, where he conducted research about magnetoencephalography/electroencephalography signal processing and human-computer interface using eye-tracking, and co-supervised three PhD students. His current research interests include pattern recognition, human-computer interaction with eye-tracking and virtual reality, and brain-computer interfaces.

Research Interests:

    • Pattern Recognition

    • Machine Learning

    • Neural Networks (Conv nets, Deep nets, ELM)

    • Image and Signal Processing

    • Human-Computer Interaction

    • Neural engineering

Applications:

    • Brain Computer Interface (non-invasive)

        • Event-related potentials: P300 speller and Rapid Serial Visual Presentation tasks

        • Steady-State Visual Evoked Potentials (SSVEP)

        • Motor imagery (ERD/ERS)

    • EEG/MEG signal processing

        • spatial and temporal filtering

        • single-trial detection (classification) with linear and non-linear classifiers, deep learning.

    • Document Analysis and handwritten character recognition

        • Indian (Bangla, Oriya, Devnagari), Arabic, Lampung, Farsi

        • Optical Character Recognition (OCR) combination (e.g., ancient documents, technical maps)

    • Eye-trackers and multi-modal interfaces

        • Virtual keyboards (Latin script, Hindi script)

    • Virtual reality

        • Symbol recognition in immersive virtual reality (HTC Vive)

        • Virtual Museum

        • Educational applications (Astronomy, Art History, Medical Imaging)

Previous positions:

2017-2022: Assistant Professor in the Department of Computer Science, College of Science and Mathematics, California State University, Fresno, USA.

2014-2017: Lecturer in Computer Science at Ulster University - Magee Campus, Northern Ireland, UK.

2011-2013: Researcher at the Department of Psychological and Brain Sciences at the University of California, Santa Barbara (UCSB), USA. The research is supported by the Institute for Collaborative Biotechnologies through contract W911NF-09-D-0001 from the U.S. Army Research Office.

2010: Researcher CNRS at GIPSA-Lab in Grenoble, France (ANR Project RoBIK). The research was supported by the French National Research Agency (ANR) through TecSan program (project RoBIK ANR-09-TECS-013))

2008-2009: Researcher in the Brainrobot Project, at the Institute of Automation (IAT) in the University of Bremen, Germany. The research was supported by a Marie Curie European Transfer of Knowledge grant BrainRobot, MTKD-CT-2004-014211, within the 6th European Community Framework Program.

2006-2007: Lecturer in Computer Science/Software engineering at the University Henri Poincaré and ESIAL in Nancy, France.

2005: Ph.D in computer science from the University Nancy 2. I worked in the READ Team in the LORIA laboratory. The research was partially supported by the RNTL (French national network of software technologies) project PAPLOO. Supervised by Prof Abdel Belaid.

2002: Master in computer science from the University Nancy 1. I worked in the MAIA Team in the LORIA laboratory. Supervised by Dr Alexis Scheuer.

Service:

Program committee: IMVIP'14, CEEC'16, SMC'16, RTIP2R'16, WSOM'17, SMC'17.

Conferences: CIFED'04, CIFED'06, ICDAR'05, EUSIPCO'10, FAHR'10, EUSIPCO'15, EMBC'15, CEEC'15, ICDAR'15, EMBC'16, IROS'16, SMC'16, EMBC'17, WSOM'17, NAT'17, ICORR'17, EMBC'18, SMC'18, BCImeeting'18.

Journals:

    • Biomedical Engineering

    • Biomedical Signal Processing and Control

    • Brain Sciences

    • Computers in Biology and Medicine

    • Computer Methods and Programs in Biomedicine

    • Cognition, Technology and Work

    • IEEE Intelligent Systems

    • IEEE trans. on Biomedical engineering

    • IEEE trans. on Computational Intelligence and AI in Games

    • IEEE trans. on Cybernetics

    • IEEE trans. on Image processing

    • IEEE trans. on Instrumentation and Measurements

    • IEEE trans. on Neural Networks

    • IEEE trans. on Neural systems and Rehabilitation Engineering

    • IEEE Journal of Biomedical and Health Informatics

    • IEICE Transactions

    • International Journal Artificial Intelligence in Medicine

    • International Journal of Pattern Recognition and Artificial Intelligence

    • Journal of Electrical and Computer Engineering

    • Journal of Neural Computation

    • Journal of Neural Engineering

    • Journal of Neuroengineering and Rehabilitation

    • Journal of Neuroscience Methods

    • Journal of Physiology-Paris

    • Medical & Biological Engineering & Computing

    • Neural Computing and Applications

    • Neurocomputing

    • Neuroimage

    • Physiological Measurement

    • Progress in Artificial Intelligence

    • Sensors