Introduction

A Fellow of the IEEE, Dr. Ishfaq Ahmad received a BSc degree in Electrical Engineering from the University of Engineering and Technology, Lahore, in 1985, and an MS degree in Computer Engineering and a PhD

Dr. Ishfaq Ahmad


Professional Achievements


A Fellow of the IEEE, Dr. Ishfaq Ahmad received a BSc degree in Electrical Engineering from the University of Engineering and Technology, Lahore, in 1985, and an MS degree in Computer Engineering and a PhD degree in Computer Science from Syracuse University, New York, U.S.A., in 1987 and 1992, respectively. 

His research has been related to high-performance parallel and distributed computing, multi-core processors, optimization algorithms, multimedia systems, and video compression techniques. His current focus is on developing energy-ware "green" high-performance computing systems and data centers. He is recognized for his research work in the above areas with 225 plus technical papers in refereed journals and conferences including some widely cited papers. 

 

He has received numerous research award including elevation to the IEEE Fellow status and best paper awards at Supercomputing '90 conference (New York), Supercomputing `91 conference (Albuquerque, New Mexico), and 2001 International Conference on Parallel Processing (Spain). He also received the 2007 Best Paper Award for IEEE Transactions on Circuits and Systems for Video Technology, awarded at the 2007 ISCAS conference in New Orleans. 

 

He joined the Computer Science and Engineering (CSE) Department of the University of Texas at Arlington in 2002 as full professor. At UTA, he leads the Multimedia Laboratory and IRIS (Institute for Research in Security), an inter-disciplinary university-wide research centre. Prior to joining UT Arlington, he was an associate professor in the Computer Science Department at Hong Kong University of Science and Technology (HKUST). At HKUST, he also directed the Multimedia Technology Research Centre, an officially recognized research centre that he conceived and built from scratch in collaboration with Prof. Ming Liou . 

 

The centre received funding from various agencies of the Government of the Hong Kong Special Administrative Region of China as well as local and international industries. With more than 70 industrial partners and 40 personnel including faculty members, postdoctoral fellows, full-time staff, and graduate students, the centre engaged in numerous R& D projects with academia and industry from Hong Kong, China, Europe, and the U.S. The centre commercialized several of its technologies to its industrial partner worldwide. 

 

Dr. Ahmad's current research is funded by the U.S. Department of Justice (DOJ), National Science Foundation (NSF), Department of Education (GAANN Project), Semiconductor Research Corporation (SRC), Adobe Inc., Texas Instruments, and Sun Microsystems. He is leading several efforts in sustainable computing and computing for sustainability. This includes launching of a new journal with Elsevier, Sustainable Computing: Informatics and Systems (SUSCOM)) of which he is the founding editor-in-chief, and launching of the International Green Computing Conference which was first held in August 2010 at Chicago and second time in July 2011 at Orlando. 

 

He has served on the program committees of over 125 international conferences (co-chaired seven). He served on the editorial board of IEEE Transactions on Circuits and Systems for Video Technology, IEEE Concurrency, IEEE Transactions on Multimedia, and was also one of the founding editors of IEEE Distributed Systems Online.

 

He was also a guest editor of a Special Issue of IEEE Transactions on Parallel and Distributed Systems -- Power-Aware Parallel and Distributed Systems (PAPADS) , and Special Issue of IEEE Transactions on Circuits and Systems for Video Technology- Video surveillance. Currently, he is editor-in-chief of Sustainable Computing: Informatics and Systems (SUSCOM)), and also area editor of Journal of Parallel and Distributed Computing, IEEE Transactions on Parallel and Distributed Computing Systems, Cluster Computing.