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

Yehia Massoud is a Professor of Electrical and Computer Engineering (ECE) and Principal Investigator of the Innovative Technologies Laboratories (ITL) at King Abdullah University of Science and Technology (KAUST). Massoud holds a Ph.D. in electrical engineering and computer science from the Massachusetts Institute of Technology. 

Professor Massoud is an IEEE fellow and has an extensive and diverse experience in leading institutions of higher education and the industry such as MIT, Rice University, UAB, WPI, Stevens, SLAC National lab, and sSynopsys Inc.

Educational profile

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

research interests 

Professor Massoud's research include Artificial intelligence, machine learning, autonomous vehicles, smart cities, smart health, and embedded systems. In addition, Professor Massoud leads an interdisciplinary research in nanophotonics and material science.
 

Journal Publications

  • 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.
  • Hamrouni, Aymen, Turki Alelyani, Hakim Ghazzai, and Yehia Massoud. "Toward Collaborative Mobile Crowdsourcing." IEEE Internet of Things Magazine 4, no. 2 July 2021.
  • Hamrouni, Aymen, Hakim Ghazzai, Turki Alelyani, and Yehia Massoud. "Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks." IEEE Internet of Things Journal  Jun 2021
  • Wan, Xiangpeng, Michael C. Lucic, Hakim Ghazzai, and Yehia Massoud. "Topic Modeling and Progression of American Digital News Media During the Onset of the COVID-19 Pandemic." IEEE Transactions on Technology and Society Jun 2021.
  • Lucic, Michael C, "Integrating County-Level Socioeconomic Data for COVID-19 Forecasting in the United States." IEEE Open Journal of Engineering in Medicine and Biology 2 July 2021.
  • M.U. Khan, A. Abbas, M.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, January 2021.
  • Hamrouni, Aymen, Hakim Ghazzai, Turki Alelyani, and Yehia Massoud. "Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks." IEEE Internet of Things Journal  Jun 2021
  • Khan, Muhammad Umar, Muhammad Abbas, Muhammad Mubeen Khan, Anila Kousar, Mehboob Alam, Yehia Massoud, and Syed Hassan Mujtaba Jafri. "Modeling and design of low-cost automatic self cleaning mechanism for standalone micro PV systems." Sustainable Energy Technologies and Assessments 43 Feb 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.
  • A. Hanif, A. Mehmood, M. Alam, and Y. Massoud, “A Compact Impedance Model of Plasmonic Nanoshell for Metamaterial Applications,” IEEE Transactions on Nanotechnology, November 2019.
  • R. Lu, A. Arifuzzman, M. Hossain, S. Gardner, S. Eliza, J. Alexander, Y. Massoud, and M. Haider, “A Low-Power Sensitive Integrated Sensor System for Thermal Flow Monitoring,” IEEE Transactions on Very Large Scale Integration, October 2019.
  • X. Wan, H. Ghazzai, and Y. Massoud, “Mobile Crowdsourcing for Intelligent Transportation Systems: Real-time Navigation in Urban Areas," IEEE Access, vol. 7, pp. 136995-137009, September 2019.
  • A. Hanif, A. Mehmood, M. Alam, S. Azam, A. Haq, and Y. Massoud, “Impedance Model of Cylindrical Nanowires for Metamaterial Applications," Nanomaterials, August 2019.
  • H. Ghazzai, H. Menouar, A. Kadri, and Y. Massoud, “Future UAV-Based ITS: A Comprehensive Scheduling Framework,” IEEE Access, vol. 7, pp. 75678-75695, June 2019.