Yehia Massoud (ymassoud)

Yehia Massoud


School of Systems and Enterprises

School of Systems & Enterprises

Babbio Center 508
(201) 216-5541


  • PhD (1999) Massachusetts Institute of Technology (Electrical Engineering and Computer Science)

General Information

Dr. Yehia Massoud, an IEEE Fellow and renowned leader in integrated and complex systems, is the dean of the School of Systems and Enterprises at Stevens Institute of Technology. Massoud holds a Ph.D. in electrical engineering and computer science from Massachusetts Institute of Technology. Massoud has accumulated more than 20 years of extensive and diverse experience at leading institutions of higher education and respected industry names such as MIT, Rice University, UAB, the SLAC National Accelerator Laboratory, IBM and Synopsys.

As the dean of School of Systems and Enterprises, the school has seen a record increase in research awards and peer-reviewed publications. The school has also seen a 47% increase in graduate student enrollment and a 31% increase in undergraduate student enrollment, as well as a significant increase in research funding over the past two years. Prior to Stevens, Massoud served as the head of the Department of Electrical and Computer Engineering (ECE) at the Worcester Polytechnic Institute (WPI) between 2012 and 2017. During that period, the ECE department saw considerable growth in research expenditures, research output, industrial partnerships, undergraduate and graduate student enrollments, unrestricted funds and gifts, and visibility and recognition. The department also rose 26 positions in the U.S. News & World Report department rankings. Massoud started his academic career as a faculty member in the both the Electrical and Computer Engineering (ECE) and Computer Science (CS) departments at Rice University, where he was granted tenure in under four years and have chaired the ECE graduate programs.

Massoud has always been proactive in emphasizing the importance of pursuing interdisciplinary research direction. He has been a primary investigator (PI) or a co-PI on more than $30 million of funded projects and has published more than 300 papers in leading peer-reviewed journals and conference publications. Massoud’s research include machine learning, autonomous vehicles, healthcare systems, smart cities, intelligent transportation systems, and smart and embedded systems. Massoud’s research group was responsible for developing the world’s first realization of compressive sensing systems for signals. This DARPA-funded project provided an unprecedented one order of magnitude savings in power consumption and significant reductions in size and cost, and has enabled the implementation of self-powered sensors for smart cities and ultra-low power biomedical implantable devices. Massoud has received many honors for his research and his service to the field, such as the Rising Star of Texas Medal, the NSF CAREER Award, the Design Automation Conference Fellowship in 2005, the Synopsys Special Recognition Engineering Award in 2000 and two IEEE Best Paper awards. He has served as the editor of Mixed-Signal Letters—The Americas and has served as an associate editor of two IEEE Transactions.

Honors and Awards

Named an Official Nominator for the JAPAN PRIZE 2017-2020

IEEE Fellow Selection Committee, 2018

Named to the IEEE Rebooting Computing Steering Committee, 2016-2019

Technical Program Co-Chair, IEEE MWCAS, 2016

Chair Elect, IEEE Technical Committee on VLSI systems and its applications, 2016-2017

IEEE Fellow Selection Committee, 2017

IEEE CAS Awards Nomination Committee, 2015

Named a Distinguished Lecturer by the IEEE CAS Society 2014-2015

IEEE Fellow, 2015

Selected as One of 10 MIT Alumni featured by MIT’s EECS department, 2012

IEEE Mac Valkenburg Award Selection Committee, 2012

Editor, Mixed Signal Letters Editor - the Americas 2012 – Present

Best Paper Award at the IEEE International Conference on Nanotechnology, 2011

Guest Co-Editor, IEEE Transactions CAS I, May 2010

Named to the IEEE Nanotechnology Council, 2009-2011

2009 General Program Co-Chair of the ACM Great Lakes Symposium on VLSI
Associate Editor, IEEE Transactions on CAS I, 2008-2013

Best Paper Award at the 2007 IEEE International Symposium on Quality Engineering Design

Awarded the Rising Star of Texas Medal, 2007

2007 Technical program Chair of the ACM Great Lakes Symposium on VLSI
Associate Editor, IEEE Transactions on VLSI Systems, 2007-2015

DAC fellowship, 2005

NSF CAREER Award in 2005

Nano-Interconnect Theme Leader, SRC Nanotechnology Research Initiative SWAN Center, 2005-2012

Conference Keynote Opening Speaker, International Conference on Research Trends in Science and Technology, March 7, 2005

Synopsys Special Recognition Engineering Award, 2002

Selected Publications

Conference Proceeding

  1. Massoud, Y. (2020). Automated Service Discovery for Social Internet-of-Things Systems. IEEE International Symposium on Circuits and Systems (ISCAS 2020).

Journal Article

  1. Lucic, M.; Ghazzai, H.; Lipizzi, C.; Massoud, Y. (2021). Integrating County-Level Socioeconomic Data for COVID-19 Forecasting in the United States. No. IEEE Open Journal of Engineering in Medicine and Biology (NA ed., vol. 2, pp. 235-248). IEEE.
  2. Khanfor, A.; Hamrouni, A.; Ghazzai, H.; Yang, Y.; Massoud, Y. (2020). A Trustworthy Recruitment Process for Spatial Mobile Crowdsourcing in Large-scale Social IoT. arXiv preprint arXiv:2004.08751.
  3. Khanfor, A.; Ghazzai, H.; Yang, Y.; Haider, M. R.; Massoud, Y. (2020). Automated service discovery for social internet-of-things systems. arXiv preprint arXiv:2003.11524.
  4. Khanfor, A.; Hamadi, R.; Ghazzai, H.; Yang, Y.; Haider, M. R.; Massoud, Y. (2020). Computational Resource Allocation for Edge Computing in Social Internet-of-Things. arXiv preprint arXiv:2007.03904.
  5. Khanfor, A.; Nammouchi, A.; Ghazzai, H.; Yang, Y.; Haider, M. R.; Massoud, Y. (2020). Graph Neural Networks-based Clustering for Social Internet of Things. arXiv preprint arXiv:2007.03892.