[Free] DLP : Augmented Intelligence for Future Networks & Communications and Foundations of Adaptive Fog Computing & Networking

IEEE Malaysia ComSoc/VTS Joint Chapter in collaboration with UiTM, WiPNET UPM, Faculty of Engineering, UPM would like to invite you to a Distinguished Lecturer Program:
Speaker :
Tony Quek, PhD
IEEE Fellow
Assoc. Prof. and Acting Head of ISTD Pillar
Singapore Uni. of Technology and Design
Talk #1 : Augmented Intelligence for Future Networks & Communications
Date: 7 March 2019 (Thursday)
Time: 10.15am – 11.45am
Bilik Seminar Al Hidayah, Lev 9, Blok 5 Kompleks
Kejuruteraan UiTM Shah Alam
Recent breakthroughs in artificial intelligence and machine learning, including deep neural networks, the availability of powerful computing platforms, and big data are providing us with technologies to perform tasks that once seemed impossible. In the near future, autonomous vehicles and drones, intelligent mobile networks, and intelligent internet-of-things (IoT) will become a norm. At the heart of this technological revolution, it is clear that we will need to augment network intelligence in such systems and applications to ensure sustainable and scalable operation and deployment. In this talk, we will share how network intelligence can be augmented in future networks and systems as well as some of our preliminary works in this area.
Talk #2 : Foundations of Adaptive Fog Computing & Networking
Date: 7 March 2019 (Thursday)
Time:  2.30pm – 4.00pm
Bilik Persidangan, Fakulti Kejuruteraan,
UPM Serdang
A recent trend during the past decade is to push various capabilities, such as computation, control, and storage, to the cloud. Such an over-dependence on the cloud, however, indicates that availability and fault tolerance issues in the cloud would directly impact millions of end-users.  Such a cloud-centric architecture is not suitable for satisfying the demands of many delay-sensitive applications in future IoT. In viewing of these challenges, the cloud is now “descending” to the network edge and diffuses among the client devices in both mobile and wired networks.  Such transition leads to the new paradigm of fog computing and networking. In this talk, we will provide an overview of fog computing and networking and will discuss some recent work related to this research area.
Tony Q.S. Quek received the B.E. and M.E. degrees in Electrical and Electronics Engineering from Tokyo Institute of Technology, Tokyo, Japan, respectively. At Massachusetts Institute of Technology (MIT), Cambridge, MA, he earned the Ph.D. in Electrical Engineering and Computer Science. Currently, he is a tenured Associate Professor with the Singapore University of Technology and Design (SUTD). He also serves as the Acting Head of ISTD Pillar and the Deputy Director of SUTD-ZJU IDEA. His current research topics include wireless communications and networking, security, big data processing, network intelligence, and IoT. Dr. Quek has been actively involved in organizing and chairing sessions and has served as a TPC member in numerous international conferences. He is serving as the TPC Co-Chair for IEEE ISWCS 2019 and the General Chair for IEEE ICCC 2020. He is currently an elected member of the IEEE Signal Processing Society SPCOM Technical Committee. He was an Executive Editorial Committee Member of the IEEE Transactions on Wireless Communications, an Editor of the IEEE Transactions on Communications, and an Editor of the IEEE Wireless Communications Letters. He is a co-author of the book “Small Cell Networks: Deployment, PHY Techniques, and Resource Allocation” published by Cambridge University Press in 2013 and the book “Cloud Radio Access Networks: Principles, Technologies, and Applications” by Cambridge University Press in 2016. Dr. Quek received the 2008 Philip Yeo Prize for Outstanding Achievement in Research, the IEEE Globecom 2010 Best Paper Award, the 2012 IEEE William R. Bennett Prize, the 2016 IEEE Signal Processing Society Young Author Best Paper Award, 2017 CTTC Early Achievement Award, 2017 IEEE ComSoc AP Outstanding Paper Award, and 2016-2018 Clarivate Analytics Highly Cited Researcher. He is a Distinguished Lecturer of the IEEE Communications Society and a Fellow of IEEE.
Jointly organized by :
IEEE Malaysia ComSoc/VTS Joint Chapter
UiTM | WiPNET UPM | Faculty of Engineering, UPM
Any inquiry please email: nuridora@salam.uitm.edu.my / fazirul@upm.edu.my / mardeni.roslee@mmu.edu.my