Summer School: Machine and Deep Learning Applications
LEVEL: INTERMEDIATE HRDF: CLAIMABLE
Twenty-Five (25) CPD Hours approved by MBOT
TRAINERS:
ASSOC. pROF. Dr Ibrahima Faye, tS Dr Ho Tatt Wei, ASSOC. PROF. Dr Tang Tong Boon, Prof Fabrice Meriaudeau, Prof Germain Forestier, ASSOC. PROF. Dr Sy Saad Azhar Ali & Dr Norashikin Yahya
21 - 25 AUGUST 2023
CAPE
9.00AM - 5.00PM
RM 3,100 FOR PROFESSIONALS
10% Discount for Early Bird (until 21 July 2023) / Group / Students
CONTENT SUMMARY
INTRODUCTION
Traditional machine learning techniques have been commonly used in various applications. Over the last few years, many researchers have shifted from traditional machine learning to deep learning techniques due to their promising applications. The course will start with an overview of traditional machine learning techniques. It will then introduce the basic principles of deep neural and convolutional neural networks (CNN) along with some of the well-known architectures that have been developed. Examples of deep learning applications from various fields will be presented through case studies where participants will practically implement in Python developed algorithms. Keynotes that go in details in particular areas will be presented. Some challenges and directions will be highlighted.
- Overview of traditional machine learning techniques
- Basic principles of deep neural and convolutional neural networks (CNN)
- Overview of some developed architectures.
- Highlights on some challenges and directions
- Hands-on with examples (signals and images) through case studies
OBJECTIVES
Upon completion of this course, participants will be able to:
- Know what is deep learning?
- Understand the basic principles of deep learning
- Apply Deep learning techniques
WHO SHOULD ATTEND?
- Anyone interested in Machine learning
- Engineers, Researchers and graduate students
OUR TRAINERS
1. Associate Professor Dr. Ibrahima Faye (UTP)
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.
2. Ts Dr. Eric Ho Tatt Wei (UTP)
3. Associate Professor Dr. Tang Tong Boon (UTP)
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.
4. Professor Fabrice Meriaudeau
Fabrice Meriaudeau was born on March 18, 1971, Villeurbanne. He received both the master’s 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.
5. Professor Germain Forestier
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).
6. Associate Professor Dr Sy Saad Azhar Ali (UTP)
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.
7. Dr Norashikin Yahya (UTP)
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 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.
REGISTRATION FEES
PROFESSIONALS
MYR3,100*
*fee quoted does not include SST, GST, HRDF service fee / VAT or withholding tax (if applicable).
EARLY BIRD/ GROUP/ STUDENT
MYR2,790*
*fee quoted does not include SST, GST, HRDF service fee / VAT or withholding tax (if applicable).
OUR LOCATION
Centre for Advanced & Professional Education (CAPE)
Level 16, Menara 2,
Menara Kembar Bank Rakyat,
50470, Jalan Travers,
Kuala Lumpur.
CALL US
+605 - 368 7558 /
+605 - 368 8485
DROP US AN EMAIL
cape@utp.edu.my