Feras Al-Dirini

20241002_163858_383

Assistant Professor, Electrical Engineering

Education

2015 | Ph.D. - Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC, Australia

2011 | B.Sc. - Electronics Engineering, Princess Sumaya University for Technology, Amman, Jordan

2010 | Exchange Program  - Electrical and Computer Engineering, University of Illinois (UIUC), IL, USA

Contact Information
Research Interests

Nanoelectronics | Nanomaterials | AI Hardware | Neuromorphic AI | Probabilistic Computing | Sensing 

Biography

Feras Al-Dirini (Member, IEEE) received the Ph.D. degree in electrical and electronic engineering from The University of Melbourne, Parkville, VIC, Australia, in 2015. He then served as a Lecturer with the Department of Electrical and Electronic Engineering, and a Research Fellow with the Center for Neural Engineering, The University of Melbourne, until August 2017. He joined King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in September 2017, as an Assistant Professor of Electrical Engineering, where he founded and directed the Neurotronics Laboratory. Since September 2024, he is now a Visiting Scientist with the Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA and a Senior Research Scientist with the School of Computing, Queen's University, Kingston, ON, Canada.

He conducted research visits to the University of California, Berkeley (UCB), CA, USA, in 2023 and 2022,  the University of California, Santa Barbara (UCSB), CA, USA, in 2023, the University of Illinois at Urbana–Champaign (UIUC), Champaign, IL, USA, in 2009 and 2010; and the Institute for Microsystems Technology, Hamburg University of Technology (TUHH), Harburg, Germany, in 2009. His research interests are in AI Hardware Technologies, across the full technology stack, from materials and devices to circuits and systems. He enjoys engineering stochasticity to achieve Probabilistic AI, enabling Probabilistic Sensing and Autonomy, to Probabilistic Neural Networks and Deep Boltzmann Machines.

Dr. Al-Dirini was a recepient of the 2022 International Summer Scholars Award by KFUPM to conduct research at UC Berkeley. He was also recipient of the Australian Postgraduate Award and the National Information and Communication Technology Australia (NICTA) Ph.D. Top-Up Scholarship. He also received numerous prestigious regional awards by IEEE, such as the IEEE Darrel Chong Award, for his volunteer leadership service during his early years as a student. He also received the Princess Sumaya Scholarship and the Edexcel International High Achiever Award.

Professional Experience
  • 2024 - Present:
    Visiting Scientist, Research Laboratory of Electronics
    Massachusetts Institute of Technology (MIT), Cambridge, MA, USA

    Senior Research Scientist, School of Computing
    Queen's University, Kingston, ON, Canada

  • 2017 - 2024: 

    Director, Neurotronics Lab

    Assistant Professor, Electrical Engineering

    Faculty Affiliate, Center for Advanced Materials
    King Fahd University of Petroleum and Minerals (KFUPM), Saudia Arabia

  • 2022 - 2023:

    Visiting Summer Scholar, Laboratory for Emerging Electronic Devices, EECS

    Host: Prof. Sayeef Salahuddin
    University of California, Berkeley, CA, USA

  • 2015 - 2017:

    Lecturer, Electrical and Electronic Engineering, 

    Research Fellow, Centre for Neural Engineering
    University of Melbourne
    , Parkville, VIC, Australia

  • 2009:

    Summer Research Intern, Micro Systems Technology (MST) Lab,

    Tehcnical University of Hamburg (TUHH), Hamburg, Germany

Courses Taught
  • EE 200 Digital Logic Circuit Design

  • EE 203 Electronics I

  • EE 204 Fundamentals of Electrical Circuits

  • EE 236 Electronic Circuits

  • EE 304 Electronics II Lab

  • EE 311 Fundamentals of EE Design

  • EE 425 Integrated Circuits Analysis and Design

  • EE 541 Design of Digital Systems

  • EE 608 S.T. on Fundamentals of Nanoelectronics

  • EE 609 S.T. on Quantum Nanoelectronics

Professional Memberships
  • IEEE Electron Devices Society (EDS)

  • IEEE Solid-State Circuits Society (SSCS)

  • IEEE Circuits and Systems Society (CAS)

  • IEEE Nanotechnology Council

  • IEEE Sensors Council