
Shaahin Angizi
Assistant Professor @ NJIT

I (Shaahin Angizi) am an Assistant Professor in the Department of Electrical and Computer Engineering, New Jersey Institute of Technology (NJIT), Newark, NJ, USA, and the director of the ACAD Lab.
I completed my doctoral studies in Electrical Engineering at the School of Electrical, Computer and Energy Engineering, Arizona State University (ASU), Tempe, AZ.
My group research interests include the cross-layer (device/circuit/architecture/algorithm/application) co-design of energy-efficient and high-performance systems with the following directions:
-
Accelerator Design for Big Data Applications: Deep Learning, Bioinformatics, Graph Processing, etc.
-
In-Memory Computing with Volatile & Non-Volatile Memories
-
Adaptive Learning for Collaborative In-Edge AI Computing IoT Systems
-
Low Power and Area-Efficient In-Sensor Computing for IoT
-
Hardware Security Solution for Emerging Non-Volatile Memories
-
Low power VLSI circuits
Multiple Research Assistant Positions Available
I am currently looking for highly motivated and self-driven Ph.D. students for 2024!

News:
-
[Sep 23]: NSF Grant Award received for "CSR: Small: Cross-Layer Solutions Enabling Instant Computing for Edge Intelligence Devices".
-
[Sep 23]: We host the 2nd Seasonal School on Intelligent Memory & Sensor at the Edge (IMS 2023) on October 10th, 2023.
-
[Aug 23]: Deniz joined ACAD Lab as a new Ph.D. student. Welcome Deniz!
-
[Aug 23]: Our paper “PiPSim: A Behavior-Level Modeling Tool for CNN Processing-in-Pixel Accelerators” is accepted to IEEE TCAD.
-
[July 23]: I am invited to give a talk at Solid-State Circuits Society (SSCS) Open Journal Webinar Series. If interested, register here.
-
[July 23]: I have been selected as an Honorary Member of the National Academy of Inventor (NAI).
-
[July 23]: I am invited to serve as a TPC member for ISQED 2024.
-
[July 23]: Our paper "Ocellus: Highly Parallel Convolution-in-Pixel Scheme Realizing Power-Delay-Efficient Edge Intelligence" has been selected as the Best Paper Candidate in ISLPED 2023.
-
[July 23]: Our paper “Design and Evaluation of a Near-Sensor Magneto-Electric FET-based Event Detector” is accepted to IEEE TED.
-
[July 23]: Our paper “PISA: A Non-Volatile Processing-In-Sensor Accelerator for Imaging Systems” is accepted to IEEE TETC.
-
[June 23]: I am invited to serve as a TPC member for ICCD 2023.
-
[June 23]: Our paper “Comparative Study of Low Bit-width DNN Accelerators: Opportunities and Challenges” is accepted to MWSCAS 2023.
-
[June 23]: Our paper “Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks” is accepted to IEEE TETC.
-
[June 23]: ACAD Lab received the Best Paper Award in GLSVLSI 2023. Congratulations to Mehrdad and team!
-
[May 23]: Our paper “Ocellus: Highly Parallel Convolution-in-Pixel Scheme Realizing Power-Delay-Efficient Edge Intelligence” is accepted to ISLPED 2023.
-
[April 23]: Our paper "IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge" has been selected as the Best Paper Candidate in GLSVLSI 2023. Congratulations to Mehrdad!
-
[April 23]: I am invited to serve as a TPC member for ICCAD 2023.
-
[April 23]: I am invited to serve as a TPC member for NOCS 2023.
-
[Mar 23]: Two papers are accepted to GLSVLSI 2023.
-
[Mar 23]: Ranyang, Mehrdad, and Nakul presented our latest research at Computer Architecture Day at Princeton University.
-
[Mar 23]: I am invited to serve as a TPC member for ICONS 2023.
-
[Feb 23]: I am invited to serve as a TPC member for ISVLSI 2023.
-
[Feb 23]: I am invited to serve as a TPC member for GLSVLSI 2023.
-
[Feb 23]: Our paper “AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration” is accepted to IEEE JETCAS.
-
[Jan 23]: IEEE CAS Grant for Seasonal School on Intelligent Memory & Sensor at the Edge (IMS 2023).
-
[Jan 23]: Our paper “XOR-CiM: An Efficient Computing-in-SOT-MRAM Design for Binary Neural Network Acceleration” is accepted to ISQED 2023.
-
[Jan 23]: Our paper “NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors” is accepted to ISCAS 2023.
-
[Jan 23]: Our paper “Aligner-D: Leveraging in-DRAM Computing to Accelerate DNA Short Read Alignment” is accepted to IEEE JETCAS.
-
[Jan 23]: I am invited to serve as a TPC member for ISLPED 2023.
.
.
-
[Sep 22]: NSF Grant Award received for "Collaborative Research: Integrated Sensing and Normally-off Computing for Edge Imaging Systems".
-
[Aug 22]: NSF Grant Award received for "CNS Core: Small: Toward Opportunistic, Fast, and Robust In-Cache AI Acceleration at the Edge"




Selected Awards and Distinctions:
2023 NSF CSR Grant Award
2023 Best Paper Award of 2023 ACM Great Lakes Symposium on VLSI (GLSVLSI), Knoxville, Tennessee, USA
2022 NSF CNS Core Grant Award
2022 NSF CCSS Grant Award
2019 Best Paper Award of 2019 ACM Great Lakes Symposium on VLSI (GLSVLSI), Washington, D.C., USA
2018 Best Ph.D. Research Award (1st-place) of 2018 Ph.D. Forum at Design Automation Conference (DAC), San Francisco, CA, USA
2018 Best Paper Award of 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Hong Kong, China
2018 Featured Paper of October-December 2018 issue of IEEE Transactions on Emerging Topics in Computing
2017 Best Paper Award of 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Bochum, Germany
Academic Activities and Services:
Dr. Angizi has authored and co-authored more than 100 research articles in top-ranked international journals and top-tier electronic design automation conferences such as IEEE TCAD, IEEE TC, IEEE TCASI, IEEE TETC, DAC, DATE, ICCAD, ASP-DAC, etc. He received the “Best Ph.D. research award” at the Design Automation Conference’s Ph.D. forum in 2018, two “Best Paper” awards at the IEEE Computer Society Annual Symposium on Very Large-Scale Integration (VLSI) in 2017 and 2018, and two “Best Paper” awards at the ACM Great Lakes Symposium on VLSI in 2019 and 2023. He has served as a technical reviewer for over 30 international journals/conferences, such as IEEE TC, TETC, TVLSI, TCAD, TNANO, TCAS, ESL, ACM JETC, MICRO, DAC, ASP-DAC, DATE, ICCAD, ICCD, GLSVLSI, ISVLSI, etc.
Organized Events:
-
2023 2nd Seasonal School on Intelligent Memory & Sensor at the Edge (IMS 2023) - Device to Architecture Co-Design
-
2023 IEEE CAS Seasonal School on Intelligent Memory & Sensor at the Edge (IMS 2023)
-
2022 IEEE Electron Devices Society (EDS) One-Day Tutorial on Neuromorphic Computing & AI
-
2021 Neuromorphic Computing: From Material to Algorithm (NeuMA)