IEEE SMC Chapter Seminar : vTools Events

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IEEE SMC Chapter Seminar

#Edge #Intelligence

Pushing Intelligence to the Edge: Implementation of a cost-efficient Edge Intelligence Framework
Mohammad Mehedi Hassan, PhD, SMIEEE

Associate Professor, Information Systems Department

College of Computer and Information Sciences

Phone: +96614695202 (Office), +966561398797 (Mob)

Email: mmhassan@ksu.edu.sa

Web: http://fac.ksu.edu.sa/mmhassan/

Google Scholar Link: https://scholar.google.com/citations?user=cxQ9a8AAAAAJ&hl=en

10am, October 2, 2019

ECE 202, NJIT

Abstract:

Current expansion of the Internet-of-Things and digital transformation is generating new demands on computing, storage, and networking infrastructures across all human endeavors (business, automotive, aerospace, life safety, medical, entertainment, city management, manufacturing, etc). Hence, it is becoming challenging for Edge computing to deal with these emerging IoT environments. In order to overcome this issue, there is a need for intelligent Edge or Artificial Intelligence (AI) powered Edge computing (Edge-AI) to manage all the new data needs from these sectors. AI with its machine learning (ML) abilities can be fused into Edge to extend its power for intelligently investigating, collecting, storing and processing large amounts of IoT data to maximize the potential of data analytics and decision making in real time with minimum delay. There are many application areas where Edge-AI can be used, such as fall detection systems for the elderly, intelligent clothes for safety applications, smart access systems, smart cameras, smart fitness systems, pet monitoring systems, self-predictive electric drives, and so on. In this presentation we will show the design and development of a cost efficient edge intelligence framework using docker container and show its benefits as compared to centralized cloud computing scenario.

Biography:

Biographical Sketch

Dr. Mohammad Mehedi Hassan (SMIEEE’18) is currently an Associate Professor of Information Systems Department in the College of Computer and Information Sciences (CCIS), King Saud University (KSU), Riyadh, Kingdom of Saudi Arabia. He received his Ph.D. degree in Computer Engineering from Kyung Hee University, South Korea in February 2011.

He has authored and coauthored around 150+ ISI-Indexed Journal publications of international repute such as IEEE Wireless Communication Magazine, IEEE Network, IEEE Communication Magazine, IEEE Transaction on Services Computing, IEEE Internet of Things, IEEE Transaction on Dependable and Secure Computing etc. He has also authored and coauthored around 33 conference papers and 2 books. Recently, his 4 publications have been recognized as the ESI Highly Cited Papers. He has served as chair, and Technical Program Committee member in numerous reputed international conferences/workshops such as IEEE CCNC, ACM BodyNets, IEEE HPCC etc.

He is a recipient of a number of awards including Best Journal Paper Award from IEEE Systems Journal in 2018, Best Paper Award from CloudComp in 2014 conference, Outstanding Paper Award from ICACT conference in 2016 and the Excellence in Research Award from King Saud University (2 times in a row, 2015 & 2016).

He is on the editorial board of IEEE Access, and Elsevier Computer and Electrical Engineering Journal. He has also played role of the guest editor of several international ISI-indexed journals such as IEEE Internet of Things, Information Sciences (Elsevier), Future Generation Computer Systems (Elsevier), Multimedia Tools and Applications (Springer), Cluster Computing (Springer), Computers and Electrical Engineering (Elsevier) and Journal of Parallel and Distributed Computing (Elsevier). He has secured several national and international research grants in the domain of cloud computing and sensor network.

His research interests include Cloud computing, Edge computing, Internet of things, Body sensor network, Big data, Deep learning, Mobile cloud, Smart computing, Wireless sensor network, 5G network, and social network. He is a Senior Member of the IEEE.

Currently, his google scholar h-Index is 31 and number of citations are 3523.