Shaahin Angizi
Assistant Professor, Electrical and Computer Engineering
325 Electrical and Computer Engineering Center (ECEC)
About Me
Dr. Angizi is an Assistant Professor in the Department of Electrical and Computer Engineering, New Jersey Institute of Technology (NJIT), and the director of the Advanced Circuit-to-Architecture Design Laboratory (ACAD Lab). He received his Ph.D. in Electrical Engineering at the School of Electrical, Computer and Energy Engineering, Arizona State University (ASU). His research interests include the cross-layer design of energy-efficient and high-performance ASIC, processing-in-memory, and processing-in-sensor platforms to enhance complex artificial intelligence and machine learning tasks, bioinformatics (computation), and graph processing.
Education
Ph.D.
; Arizona State University
; Electrical Engineering
; 2021
M.S. ; Azad University ; Computer Engineering ; 2014
B.S. ; Azad University ; Computer Engineering ; 2012
M.S. ; Azad University ; Computer Engineering ; 2014
B.S. ; Azad University ; Computer Engineering ; 2012
Website
2025 Fall Courses
ECE 725 - INDEPENDENT STUDY I
ECE 451 - ADVANCED COMPUTER ARCHITECTURE
ECE 700B - MASTER'S PROJECT
ECE 792B - PRE-DOCTORAL RESEARCH
ECE 701B - MASTER'S THESIS
ECE 417 - ELECT AND COMP ENGR PROJ II
ECE 790A - DOCTRL DISSRTN & RESEARCH
ECE 726 - INDEPENDENT STUDY II
ECE 451 - ADVANCED COMPUTER ARCHITECTURE
ECE 700B - MASTER'S PROJECT
ECE 792B - PRE-DOCTORAL RESEARCH
ECE 701B - MASTER'S THESIS
ECE 417 - ELECT AND COMP ENGR PROJ II
ECE 790A - DOCTRL DISSRTN & RESEARCH
ECE 726 - INDEPENDENT STUDY II
Past Courses
ECE 451: ADVANCED COMPUTER ARCHITECTURE
ECE 452: ADVANCED COMPUTER ARCHITECTURE II
ECE 452: HIGH PERFORMANCE COMPUTER ARCHITECTURE
ECE 452: ADVANCED COMPUTER ARCHITECTURE II
ECE 452: HIGH PERFORMANCE COMPUTER ARCHITECTURE
Research Interests
+ Accelerator Design for Big Data Applications
+ In-Memory Computing with Volatile & Non-Volatile Memories
+ Adaptive Learning for Collaborative Edge Computing
+ Low Power and Area-Efficient In-Sensor Computing for IoT
+ Hardware Security Solution for Emerging Non-Volatile Memories
+ Low power VLSI circuits
+ In-Memory Computing with Volatile & Non-Volatile Memories
+ Adaptive Learning for Collaborative Edge Computing
+ Low Power and Area-Efficient In-Sensor Computing for IoT
+ Hardware Security Solution for Emerging Non-Volatile Memories
+ Low power VLSI circuits
Conference Proceeding
"TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator"
2025 IEEE International Conference on LLM-Aided Design (ICLAD), July (3rd Quarter/Summer), 2025.
"SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance"
2024 IEEE International Conference on Rebooting Computing (ICRC) , December, 2024.
"Accelerating Low Bit-width Neural Networks at the Edge, PIM or FPGA: A Comparative Study"
2023.
"IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge"
2023.
"Ima-gnn: In-memory acceleration of centralized and decentralized graph neural networks at the edge"
2023.
2025 IEEE International Conference on LLM-Aided Design (ICLAD), July (3rd Quarter/Summer), 2025.
"SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance"
2024 IEEE International Conference on Rebooting Computing (ICRC) , December, 2024.
"Accelerating Low Bit-width Neural Networks at the Edge, PIM or FPGA: A Comparative Study"
2023.
"IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge"
2023.
"Ima-gnn: In-memory acceleration of centralized and decentralized graph neural networks at the edge"
2023.
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Journal Article
Mahmoud Nazzal, Abdallah Khreishah, Joyoung Lee, Shaahin Angizi, Ala Al-Fuqaha, Mohsen Guizani.
2024. "Semi-decentralized inference in heterogeneous graph neural networks for traffic demand forecasting: An edge-computing approach."
IEEE Transactions on Vehicular Technology .
Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi. 2023. "A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks." IEEE Transactions on Emerging Topics in Computing .
Fan Zhang, Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan. 2023. "Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment." IEEE Journal on Emerging and Selected Topics in Circuits and Systems , vol. 13 , no. 1 , pp. 332--343.
Sepehr Tabrizchi, Ali Nezhadi, Shaahin Angizi, Arman Roohi. 2023. "AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration." IEEE Journal on Emerging and Selected Topics in Circuits and Systems , vol. 13 , no. 1 , pp. 225--236.
Mehrdad Morsali, Sepehr Tabrizchi, Andrew Marshall, Arman Roohi, Durga Misra, Shaahin Angizi. 2023. "Design and Evaluation of a Near-Sensor Magneto-Electric FET-Based Event Detector." IEEE Transactions on Electron Devices .
Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi. 2023. "A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks." IEEE Transactions on Emerging Topics in Computing .
Fan Zhang, Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan. 2023. "Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment." IEEE Journal on Emerging and Selected Topics in Circuits and Systems , vol. 13 , no. 1 , pp. 332--343.
Sepehr Tabrizchi, Ali Nezhadi, Shaahin Angizi, Arman Roohi. 2023. "AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration." IEEE Journal on Emerging and Selected Topics in Circuits and Systems , vol. 13 , no. 1 , pp. 225--236.
Mehrdad Morsali, Sepehr Tabrizchi, Andrew Marshall, Arman Roohi, Durga Misra, Shaahin Angizi. 2023. "Design and Evaluation of a Near-Sensor Magneto-Electric FET-Based Event Detector." IEEE Transactions on Electron Devices .
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Other
"System and method for fast and efficient max/min searching in dram"
September, 2023.
"Processing-in-Memory for Data-Intensive Applications, from Device to Algorithm"
Arizona State University, 2021.
September, 2023.
"Processing-in-Memory for Data-Intensive Applications, from Device to Algorithm"
Arizona State University, 2021.
Chapter
Arman Roohi, Shaahin Angizi, Deliang Fan.
"Enabling Edge Computing Using Emerging Memory Technologies: From Device to Architecture."
"Frontiers of Quality Electronic Design (QED) AI, IoT and Hardware Security,"
pp. 415--464. Springer International Publishing Cham, 2022.