Education Profile

  • Ph.D. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), 1999

Honors and Awards

  • Named an Official Nominator for the JAPAN PRIZE 2017-2021
  • IEEE CAS Awards Nomination Committee, 2015-2021
  • Named to the IEEE Rebooting Computing Steering Committee, 2016 – 2019
  • Technical Program Co-Chair, IEEE MWCAS, 2016
  • Chair, IEEE Technical Committee on VLSI systems and its applications, 2017-2018
  • 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 – 2018
  • 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 Eng. 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, 2005-2012
  • Conference Keynote Opening Speaker, International Conference on Research Trends in Science and Technology, March 7, 2005
  • Synopsys Special Recognition Engineering Award, 2000

Professor Yehia Massoud is currently the Director of the Innovative Technologies Laboratories (ITL) at King Abdullah University of Science and Technology (KAUST). He holds a Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT). He is an IEEE Fellow and has authored over 350 articles in peer-reviewed journals and conferences. Professor Massoud was selected as one of ten MIT Alumni Featured by MIT’s Electrical Engineering and Computer Science department in 2012. He has received the Rising Star of Texas Medal, the National Science Foundation CAREER Award, the DAC Fellowship, the Synopsys Special Recognition Engineering Award, and several best paper awards.

Professor Massoud has an extensive and diverse leadership and research experience in premier institutions of higher education and industry including the Dean of the School of Systems and Enterprises at Stevens Institute of Technology, USA, a tenured faculty with the Departments of Electrical and Computer Engineering and Computer Science, Rice University, Houston, USA, the Head of the Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, USA, and a member of the technical staff with Synopsys, Inc., CA, USA.

Educational Profile

Ph.D. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 1999.

Research Interests 

Professor Yehia Massoud leads ‌‌‌the Innovative Technologies Laboratories (ITL), which spans over the broad range of technical areas including smart cities, smart health, embedded systems, photonics, and spintronics. ITL looks into modeling, designing, and prototyping state-of-the-art innovative technological solutions addressing challenging problems for the region and worldwide. 
 

Selected Recent Publications

  • A. Hamrouni, H. Ghazzai, T. Alelyani, and Y. Massoud, “Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks“, IEEE Internet of Things Journal, January 2022.
  • A. Hamrouni, T. Alelyani, H. Ghazzai, and Y. Massoud, "Toward Collaborative Mobile Crowdsourcing," IEEE Internet of Things Magazine, July 2021.
  • M. Lucic, H. Ghazzai, C. Lipizzi, and Y. Massoud. "Integrating County-Level Socioeconomic Data for COVID-19 Forecasting in the United States," IEEE Open Journal of Engineering in Medicine and Biology, July 2021.
  • X. Wan, M. Lucic, H. Ghazzai, and Y. Massoud. "Topic Modeling and Progression of American Digital News Media During the Onset of the COVID-19 Pandemic," IEEE Transactions on Technology and Society, June 2021.
  • H. Friji, R. Hamadi, H Ghazzai, H. Besbes, and Y. Massoud, “ A Generalized Mechanistic Model for Assessing and Forecasting the Spread of the COVID-10 Pandemic,” IEEE Access, February 2021.
  • M. Khan, M. Umar, M. Abbas, M. Khan, A. Kousar, M. Alam, Y. Massoud, and S. Jafri. "Modeling and design of low-cost automatic self cleaning mechanism for standalone micro PV systems," Sustainable Energy Technologies and Assessments, February 2021.
  • M. Khan, A. Abbas, A. Kousar, M. Alam, Y. Massoud, and S. Jafri, “Modeling and design of low-cost automatic self-cleaning mechanism for standalone micro PV systems,” Sustainable Energy Technologies and Assessments, January 2021.
  • X. Wan, M. Lucic, H. Ghazzai, Y. Massoud, “Empowering Real-Time Traffic Reporting Systems with NLP-Processed Social Media Data,” IEEE Journal of Vehicular Technology, September 2020. 
  • O. Bouhamed, H. Ghazzi, H. Besbes, and Y. Massoud, “A UAV-assisted Data Collection for Wireless Sensor Networks: Autonomous Navigation and Scheduling,” IEEE Access, July 2020.
  • M. Khan, A. Kousar, M. Alam, and Y. Massoud, “Closed Form Resonance Solution in Metallic Nanoparticles with Cubic Nonlinearity,” IEEE Transactions on Nanotechnology, June 2020.
  • M. Lucic, X. Wan, H. Ghazzai, and Y. Massoud, “Leveraging Intelligent Transportation Systems and Smart Vehicles Using Crowdsourcing: An Overview,” Smart Cities, May 2020.
  • X. Wan, H. Ghazzai, and Y. Massoud, “A Generic Data-Driven Recommendation System for Large-Scale Regular and Ride-Hailing Taxi Services,” Electronics, April 2020.
  • A. Hamrouni, H. Ghazzai, and Y. Massoud, “Many-to-many Recruitment and Scheduling in Spatial Mobile Crowdsourcing,” IEEE Access, March 2020.
  • O. Bouahmed, H. Ghazzai, H. Besbes, and Y. Massoud, “A Generic Spatiotemporal Scheduling for Autonomous UAVs: A Reinforcement Learning-based Approach,” IEEE Open Journal of Vehicular Technology, March 2020.
  • N. Dhieb, H. Ghazzai, H. Besbes, and Y. Massoud, “A Secure AI-Driven Architecture for Automated Insurance Systems: Fraud Detection and Risk Measurement,” IEEE Access, March 2020.
  • M. Lucic, H. Ghazzai, and Y. Massoud, “A Generalized Dynamic Planning Framework for Green UAV-Assisted Intelligent Transportation System Infrastructure,” IEEE Systems Journal, February 2020.
  • A. Hamrouni, H. Ghazzai, M. Fikra, and Y. Massoud, “A Spatial Mobile Crowdsourcing Framework for Event Reporting,” IEEE Transactions on Computational Social Systems, February 2020.