NVLCFF: An Energy-Efficient Magnetic Nonvolatile Level Converter Flip-Flop for Ultra-Low-Power Design. - Mehrdad Morsali; Mohammad Hossein Moaiyeri (Circuits Syst. Signal Process., 2020)

Ultra-High-Performance Magnetic Nonvolatile Level Converter Flip-Flop with Spin-Hall Assistance for Dual-Supply Systems with Power Gating Architecture. - Mehrdad Morsali; Mohammad Hossein Moaiyeri (Circuits Syst. Signal Process., 2021)

A process variation resilient spintronic true random number generator for highly reliable hardware security applications. - Mehrdad Morsali; Mohammad Hossein Moaiyeri; Ramin Rajaei (Microelectron. J., 2022)

P-PIM: A Parallel Processing-in-DRAM Framework Enabling Row Hammer Protection. - Ranyang Zhou; Sepehr Tabrizchi; Mehrdad Morsali; Arman Roohi; Shaahin Angizi (DATE, 2023)

IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge. - Mehrdad Morsali; Mahmoud Nazzal; Abdallah Khreishah; Shaahin Angizi (ACM Great Lakes Symposium on VLSI, 2023)

Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator. - Mehrdad Morsali; Sepehr Tabrizchi; Maximilian Liehr; Nathaniel C. Cady; Mohsen Imani; Arman Roohi; Shaahin Angizi (ICRC, 2023)

NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors. - Sepehr Tabrizchi; Mehrdad Morsali; Shaahin Angizi; Arman Roohi (ISCAS, 2023)

XOR-CiM: An Efficient Computing-in-SOT-MRAM Design for Binary Neural Network Acceleration. - Mehrdad Morsali; Ranyang Zhou; Sepehr Tabrizchi; Arman Roohi; Shaahin Angizi (ISQED, 2023)

Comparative Study of Low Bit-width DNN Accelerators: Opportunities and Challenges. - Deepak Vungarala; Mehrdad Morsali; Sepehr Tabrizchi; Arman Roohi; Shaahin Angizi (MWSCAS, 2023)

Enabling Normally-off In-Situ Computing with a Magneto-Electric FET-based SRAM Design. - Deniz Najafi; Mehrdad Morsali; Ranyang Zhou; Arman Roohi; Andrew Marshall; Durga Misra; Shaahin Angizi (CoRR, 2023)

Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. - Mehrdad Morsali; Brendan Reidy; Deniz Najafi; Sepehr Tabrizchi; Mohsen Imani; Mahdi Nikdast; Arman Roohi; Ramtin Zand; Shaahin Angizi (DAC, 2024)

OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. - Mehrdad Morsali; Sepehr Tabrizchi; Deniz Najafi; Mohsen Imani; Mahdi Nikdast; Arman Roohi; Shaahin Angizi (DATE, 2024)

Energy-Efficient Near-Sensor Event Detector Based on Multilevel Ga2O3 RRAM. - Mehrdad Morsali; Sepehr Tabrizchi; Ravi Teja Velpula; Mano Bala Sankar Muthu; Hieu Pham Trung Nguyen; Mohsen Imani; Arman Roohi; Shaahin Angizi (ISVLSI, 2024)

A Dataset for Large Language Model-Driven AI Accelerator Generation. - Mahmoud Nazzal; Deepak Vungarala; Mehrdad Morsali; Chao Zhang; Arnob Ghosh; Abdallah Khreishah; Shaahin Angizi (CoRR, 2024)

Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate. - Deniz Najafi; Hamza Errahmouni Barkam; Mehrdad Morsali; Sungheon Jeong 001; Tamoghno Das; Arman Roohi; Mahdi Nikdast; Mohsen Imani; Shaahin Angizi (CoRR, 2024)

A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks. - Shaahin Angizi; Mehrdad Morsali; Sepehr Tabrizchi; Arman Roohi (IEEE Trans. Emerg. Top. Comput., 2024)

PiPSim: A Behavior-Level Modeling Tool for CNN Processing-in-Pixel Accelerators. - Arman Roohi; Sepehr Tabrizchi; Mehrdad Morsali; David Z. Pan; Shaahin Angizi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Dyna-Optics: Architecting a Channel-Adaptive DNN Near-Sensor Optical Accelerator for Dynamic Inference. - Deniz Najafi; Wanhao Yu; Mehrdad Morsali; Pietro Mercati; Mohsen Imani; Mahdi Nikdast; Li Yang 009; Shaahin Angizi (COINS, 2025)

PixelPrune: Optimizing AIoT Vision Systems via In-Sensor Segmentation and Adaptive Data Transfer. - Mohammadreza Mohammadi; Mehrdad Morsali; Sepehr Tabrizchi; Brendan Reidy; Arman Roohi; Shaahin Angizi; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2025)

Event-Driven Spatiotemporal Processing-In-Sensor with Phase Change Memory-based Optical Acceleration. - Mehrdad Morsali; Deniz Najafi; Amin Shafiee; Sepehr Tabrizchi; Pietro Mercati; Mohsen Imani; Arman Roohi; Navid Khoshavi; Mahdi Nikdast; Shaahin Angizi (ACM Great Lakes Symposium on VLSI, 2025)

SA-DS: A Dataset for Large Language Model-Driven AI Accelerator Design Generation. - Deepak Vungarala; Mahmoud Nazzal; Mehrdad Morsali; Chao Zhang; Arnob Ghosh; Abdallah Khreishah; Shaahin Angizi (ISCAS, 2025)

From Pixels to Reasoning: A Cross-Layer Photonic Design for Edge Visual Intelligence. - Deniz Najafi; Mehrdad Morsali; Hamza Errahmouni Barkam; Brendan Reidy; Sepehr Tabrizchi; Arman Roohi; Mahdi Nikdast; Ramtin Zand; Mohsen Imani; Shaahin Angizi (ISVLSI, 2025)

PINSim: A Processing In- and Near-Sensor Simulator to Model Intelligent Vision Sensors. - Sepehr Tabrizchi; Mehrdad Morsali; David Z. Pan; Shaahin Angizi; Arman Roohi (IEEE Comput. Archit. Lett., 2025)

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics. - Mehrdad Morsali; Chengwei Zhou; Deniz Najafi; Sreetama Sarkar; Pietro Mercati; Navid Khoshavi; Peter A. Beerel; Mahdi Nikdast; Gourav Datta; Shaahin Angizi (CoRR, 2025)