Feras Al-Dirini

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

Phone (Office): +1 (617) 852 8313

aldirini@mit.edu

Google Scholar

Research Gate

ORCID

Office 219, Building 39, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA

Research Interests

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