Trainers

Ibrahima Faye is a researcher at the Centre for Intelligent Signal and Imaging Research (CISIR), a national centre of excellence. He received a BSc, MSc and PhD in Mathematics from University of Toulouse and a MS in Engineering of Medical and Biotechnological Data from Ecole Centrale Paris. His research interests include machine learning, mathematics, signal and image processing, and science of learning. He has published over 150 papers in peer reviewed journals and international conferences and holds 2 patents in image processing. He is a senior member of the IEEE and currently the chair of IEEE Computational Intelligence Society (CIS), Malaysia.

Fabrice Meriaudeau was born on March 18, 1971, Villeurbanne. He received both the master degree in physics at Dijon University, France as well as an Engineering Degree (FIRST) in material sciences in 1994. He also obtained a Ph.D. in image processing at the same University in 1997. He was a postdoc for a year at The Oak Ridge National Laboratory. He was the director of the Institute Health and Analytics (2017/2018) at the Universiti Teknologi PETRONAS Malaysia and was the Director of the Le2i (UMR CNRS), Université de Bourgogne - France, which had more than 200 staff members, from 2011 to 2016. He is now with ImVia research group at the Université de Bourgogne- France and leads the Artificial Intelligence research group. He coordinated an Erasmus Mundus Master in the field of Computer Vision and Robotics from 2006 to 2010 and was the Vice President for International Affairs for the University of Burgundy from 2010 to 2012. He has authored and co-authored more than 150 international publications and holds three patents.

Tang Tong Boon received his received the B.Eng. degree (Hons) and Ph.D. degree from The University of Edinburgh. He is currently the Director of Institute of Health and Analytics, and an Associate Professor of Electrical and Electronic Engineering Department at the Universiti Teknologi PETRONAS. He received the Lab on Chip Award in 2006 and the IET Nanobiotechnology Premium Award in 2008. He serves as the Secretary of the Higher Centre of Excellence (HICoE) Council and the Chair of the IEEE Circuits and Systems Society Malaysia Chapter.

Mohd Zuki Yusoff specializes in embedded systems (microprocessor and microcontroller) teaching/training. He is currently an associate professor at UTP and is the Head of Centre for Intelligent Signal and Imaging Research (CISIR) and a member of the Institute of Health & Analytics (IHA). He is currently undertaking research in brain signal processing (brain computer interface; learning effectiveness; driver drowsiness; road rage). He holds one patent related to the extraction of event related potentials from background EEG, and two more patents in telecommunications related areas. He is a member of the following learned societies and professional body: IEEE, Tau Beta Pi—the National Engineering Honorary Society, Eta Kappa Nu—the Electrical and Computer Engineering Honorary Society. Dr. Zuki has accumulated over 30 years of experience working with various industries and academic/training institutions; these include Universiti Teknologi PETRONAS (UTP), Celcom Academy, Politeknik Sultan Abdul Halim Mu’adzam Shah (POLIMAS), Malaysian Institute of Microelectronic Systems (MIMOS), and Singatronics (M) Sdn Bhd. He is a certified Curriculum Designer & Developer, awarded by Sepang Institute of Technology (SIT) and Douglas Mawson Institute of TAFE in March 1999.

Germain Forestier received his PhD in Computer Science from the University of Strasbourg in 2010. He then spent one year as a postdoctoral fellow at INRIA Rennes / INSERM (French National Institute for Medical and Health Research), where he worked on biomedical data analysis. In September 2011, he obtained a position of Associate Professor at the University of Haute-Alsace (France) and is now Professor since 2018. Prof. Forestier also hold a position of Associate Professor (Adjunct) at the Monash University (Australia).

More info: https://germain-forestier.info/

Syed Saad Azhar Ali (M’07–SM’17) received the B.E. degree in electrical engineering from NED University, Pakistan, and the master’s and doctoral degrees in nonlinear control from the King Fahd University of Petroleum & Minerals, Saudi Arabia. He was with Air University and Iqra University prior to being engaged as Associate Professor with the Center of Intelligent Signal and Imaging Research, Universiti Teknologi PETRONAS, Malaysia. Recently, he has been involved in neurosignal processing. He has authored over 70 peer-reviewed publications, including four books/chapters. His research focus has been on neurosignal processing, intelligent control, signal processing, underwater robotics with the emphasis on image enhancement and 3-D scene reconstruction. He is the PI for several funded research projects

Mohd Soperi Mohd Zahid received the Ph.D. degree in Computer Science from University of Wisconsin – Milwaukee, WI, USA in 2009. He served as a Faculty Member with Universiti Teknologi Malaysia since 1998 before joining Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Malaysia as Associate Professor in 2017. Besides teaching Computer Science undergraduate and graduate courses, he has conducted some short courses on Machine Learning using Python. Mohd Soperi has published more than forty journal and conference papers. His current research interests include machine learning for computer networking and healthcare.

Eric Ho Tatt Wei received his MS and PhD degrees in Electrical Engineering from

Stanford University in Silicon Valley, USA specializing in computer hardware and VLSI systems, As part of his PhD research, he developed real-time systems for fruit flies for biological research to conduct automated inspection and guide robotic manipulation. He is currently pursuing applications of deep neural network technology to network analysis on MRI brain images.

Norashikin Yahya received the B.Eng degree (Hons) in electronic Engineering from the University of Sheffield, UK in 2001, M.Sc in Electrical engineering from Lehigh University, USA in 2004 and PhD in Electrical Engineering from Universiti Teknologi PETRONAS (UTP), Malaysia in 2015. Her current active research works are on image segmentation and pattern recognition involving biomedical signals and images using machine learning and deep learning techniques. Currently, she is a senior lecturer in UTP and also a member of Centre for Intelligent Signal and Imaging Research (CISIR) lab, one of the National Higher Institution Centre of Excellence (HICoE) status focusing on neuro signal and image analysis as its research niche area.