Recent News:

February 2025: Dr. Ibrahim will serve as a TPC member for ICCAD 2025.

February 2025: Our work on embodied AI acceleration accepted to ASPLOS.

January 2025: Dr. Ibrahim will serve as a TPC member for ASAP 2025.

September 2024: Dr. Ibrahim will serve as a TPC member for DATE 2025.

August 2024: Our journal paper is accepted for publication in IEEE TCASAI!

July 2024: Dr. Ibrahim will serve as a TPC member for ASP-DAC 2025.

May 2024: Our proposal for a special session at ESWeek 2024 has been accepted! The session is entitled: "Neuro-Symbolic Architecture Meets LLMs: A Memory-Centric Perspective".

April 2024: Dr. Ibrahim will serve as a TPC member for ICCAD 2024.

November 2023: Two papers accepted for presentation at IEEE/ACM DATE 2024.

October 2023: Dr. Ibrahim joined Georgia Tech (Center for the Co-Design of Cognitive Systems) to work as a Senior Research Staff, advised by Prof. Arijit Raychowdhury.

July 2022: Dr. Ibrahim will serve as a TPC member for DATE 2024.

October 2022: A poster of our work on hyperdimensional computing presented by Youbin Kim at IBM IEEE CAS/EDS AI Compute Symposium.

July 2022: Dr. Ibrahim will serve as a TPC member for DATE 2023.

March 2022: Dr. Ibrahim will serve as a TPC member for ICCAD 2022.

February 2022: Dr. Ibrahim will serve on the PC for ISVLSI 2022.

December 2021: A paper accepted at CLeaR 2022, a workshop to be held in conjunction with AAAI 2022.

November 2021: Dr. Ibrahim was invited to give a lecture on efficient hardware implementations of brain-inspired computing at Berkeley's Redwood Center for Theoretical Neuroscience. The lecture is part of Neuroscience 299.

September 2021: Dr. Ibrahim will serve as a session chair for ICCAD 2021.

August 2021: Our paper titled "Efficient Regulation of Synthetic Biocircuits Using Droplet-Aliquot Operations on MEDA Biochips" is accepted for publication at IEEE TCAD.

July 2021: Dr. Ibrahim is invited to serve on the PC for DATE 2022.

About

Welcome! I am Mohamed Ibrahim, a Research Faculty Member at the Georgia Institute of Technology and an Incoming Assistant Professor at the University of Texas at Dallas starting in Fall 2025. Before joining Georgia Tech, I was a Postdoctoral Researcher at the University of California, Berkeley. My research focuses on efficient hardware-software co-design and optimization methodologies to advance embodied intelligence. This research combines brain-inspired computing, embedded cyber-physical integration, design automation, and VLSI AI hardware systems to develop cutting-edge algorithms and build innovative hardware architectures, aiming to create embodied AI systems that are inherently adaptable, reliable, and trustworthy.

I received my Ph.D. and M.Sc. degrees in 2018 and 2017, respectively, both in Electrical and Computer Engineering from Duke University. Following my PhD studies, I worked for three years in the semiconductor industry. I have also been on the technical program committees for multiple conferences, including ICCAD, DATE, ASAP, and ASP-DAC. Additionally, I serve as an expert reviewer for a large number of conferences and journals.

My research has been recognized with prestigious awards, including the Council of Graduate Schools/ProQuest Distinguished Dissertation Award in Mathematics, Physical Sciences, and Engineering, and an Outstanding Dissertation award from the department of Electrical and Computer Engineering at Duke University. I also received a Best Paper Award at the 2017 DATE Conference.

"I'm excited to share that I will be joining the University of Texas at Dallas as a tenure-track Assistant Professor in Electrical and Computer Engineering starting Fall 2025! If you’re interested in pursuing a PhD and joining my research group (The Embodied AI Circuits, Architectures, and Systems Group), feel free to reach out!"

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