A Novel Design Approach for Ternary Compressor Cells Based on CNTFETs. - Sepehr Tabrizchi; Hojjat Sharifi; Fazel Sharifi; Keivan Navi (Circuits Syst. Signal Process., 2016)

Method for designing ternary adder cells based on CNFETs. - Sepehr Tabrizchi; Atiyeh Panahi; Fazel Sharifi; Keivan Navi; Nader Bagherzadeh (IET Circuits Devices Syst., 2017)

A novel ternary half adder and multiplier based on carbon nanotube field effect transistors. - Sepehr Tabrizchi; Nooshin Azimi; Keivan Navi (Frontiers Inf. Technol. Electron. Eng., 2017)

Energy Efficient Tri-State CNFET Ternary Logic Gates. - Sepehr Tabrizchi; Fazel Sharifi; Abdel-Hameed A. Badawy (CoRR, 2018)

High performance, variation-tolerant CNFET ternary full adder a process, voltage, and temperature variation-resilient design. - Samane Firouzi; Sepehr Tabrizchi; Fazel Sharifi; Abdel-Hameed A. Badawy (Comput. Electr. Eng., 2019)

Novel CNFET ternary circuit techniques for high-performance and energy-efficient design. - Sepehr Tabrizchi; MohammadReza Taheri; Keivan Navi; Nader Bagherzadeh (IET Circuits Devices Syst., 2019)

An energy-based heterogeneity measure for quantifying structural irregularity in complex networks. - Farshad Safaei; Sepehr Tabrizchi; Amir H. Hadian-Rasanan; Marzieh Zare (J. Comput. Sci., 2019)

Designing positive, negative and standard gates for ternary logics using quantum dot cellular automata. - Seyede Fateme Kamali; Sepehr Tabrizchi; Somaye Mohammadyan; Morteza Rastgoo; Keivan Navi (Comput. Electr. Eng., 2020)

A novel method for reduction partial product tree in ternary multiplier. - Sepehr Tabrizchi; Reza Akbar; Farshad Safaei (Microelectron. J., 2020)

Energy-Efficient and PVT-Tolerant CNFET-Based Ternary Full Adder Cell. - Sepehr Tabrizchi; Fazel Sharifi; Parisa Dehghani (Circuits Syst. Signal Process., 2021)

TizBin: A Low-Power Image Sensor with Event and Object Detection Using Efficient Processing-in-Pixel Schemes. - Sepehr Tabrizchi; Shaahin Angizi; Arman Roohi (ICCD, 2022)

SCiMA: A Generic Single-Cycle Compute-in-Memory Acceleration Scheme for Matrix Computations. - Sepehr Tabrizchi; Shaahin Angizi; Arman Roohi (ISCAS, 2022)

Design and Evaluation of a Robust Power-Efficient Ternary SRAM Cell. - Sepehr Tabrizchi; Shaahin Angizi; Arman Roohi (MWSCAS, 2022)

LT-PIM: An LUT-Based Processing-in-DRAM Architecture With RowHammer Self-Tracking. - Ranyang Zhou; Sepehr Tabrizchi; Arman Roohi; Shaahin Angizi (IEEE Comput. Archit. Lett., 2022)

PISA: A Binary-Weight Processing-In-Sensor Accelerator for Edge Image Processing. - Shaahin Angizi; Sepehr Tabrizchi; Arman Roohi (CoRR, 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)

SenTer: A Reconfigurable Processing-in-Sensor Architecture Enabling Efficient Ternary MLP. - Sepehr Tabrizchi; Rebati Raman Gaire; Shaahin Angizi; Arman Roohi (ACM Great Lakes Symposium on VLSI, 2023)

EnCoDe: Enhancing Compressed Deep Learning Models Through Feature - - - Distillation and Informative Sample Selection. - Rebati Raman Gaire; Sepehr Tabrizchi; Arman Roohi (ICMLA, 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)

Ocellus: Highly Parallel Convolution-in-Pixel Scheme Realizing Power-Delay-Efficient Edge Intelligence. - Sepehr Tabrizchi; Shaahin Angizi; Arman Roohi (ISLPED, 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)

PISA: A Non-Volatile Processing-in-Sensor Accelerator for Imaging Systems. - Shaahin Angizi; Sepehr Tabrizchi; David Z. Pan; Arman Roohi (IEEE Trans. Emerg. Top. Comput., 2023)

AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration. - Sepehr Tabrizchi; Ali Nezhadi; Shaahin Angizi; Arman Roohi (IEEE J. Emerg. Sel. Topics Circuits Syst., 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)

HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. - Brendan Reidy; Sepehr Tabrizchi; Mohammadreza Mohammadi; Shaahin Angizi; Arman Roohi; Ramtin Zand (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)

DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems. - Sepehr Tabrizchi; Shaahin Angizi; Arman Roohi (DATE, 2024)

Hybrid Magneto-electric FET-CMOS Integrated Memory Design for Instant-on Computing. - Deniz Najafi; Sepehr Tabrizchi; Ranyang Zhou; Mohammadreza Amel Solouki; Andrew Marshall; Arman Roohi; Shaahin Angizi (ACM Great Lakes Symposium on VLSI, 2024)

RACSen: Residue Arithmetic and Chaotic Processing in Sensors to Enhance CMOS Imager Security. - Sepehr Tabrizchi; Nedasadat Taheri; Shaahin Angizi; Arman Roohi (ACM Great Lakes Symposium on VLSI, 2024)

SRC: Sustainable Reactive Computing for Battery-free Edge Intelligence. - Sepehr Tabrizchi; Nedasadat Taheri; Justin Feng; Nader Sehatbakhsh; David Z. Pan; Arman Roohi (IGSC, 2024)

ChaoSen: Security Enhancement of Image Sensor through in-Sensor Chaotic Computing. - Nedasadat Taheri; Sepehr Tabrizchi; Shaahin Angizi; Arman Roohi (ICCD, 2024)

Resource-Efficient Adaptive-Network Inference Framework with Knowledge Distillation-Based Unified Learning. - Rebati Raman Gaire; Sepehr Tabrizchi; Arman Roohi (ISVLSI, 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)

ResSen: Imager Privacy Enhancement Through Residue Arithmetic Processing in Sensors. - Nedasadat Taheri; Sepehr Tabrizchi; Deniz Najafi; Shaahin Angizi; Arman Roohi (ISVLSI, 2024)

DECO: Dynamic Energy-aware Compression and Optimization for In-Memory Neural Networks. - Rebati Raman Gaire; Sepehr Tabrizchi; Deniz Najafi; Shaahin Angizi; Arman Roohi (MWSCAS, 2024)

HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. - Brendan Reidy; Sepehr Tabrizchi; Mohamadreza Mohammadi; Shaahin Angizi; Arman Roohi; Ramtin Zand (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)

ViTSen: Bridging Vision Transformers and Edge Computing With Advanced In/Near-Sensor Processing. - Sepehr Tabrizchi; Brendan C. Reidy; Deniz Najafi; Shaahin Angizi; Ramtin Zand; Arman Roohi (IEEE Embed. Syst. Lett., 2024)

iSEW: in-Sensor Embedded Watermarking for Secure Imaging. - Sepehr Tabrizchi; Shaahin Angizi; Arman Roohi (FCCM, 2025)

Maximizing Sub-Array Resource Utilization in Digital Processing-in-Memory: A Versatile Hardware-Aware Approach. - Gamana Aragonda; Deniz Najafi; Deepak Vungarala; Sepehr Tabrizchi; Arman Roohi; Shaahin Angizi (ACM Great Lakes Symposium on VLSI, 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)

SenGuard: A Novel Processing In-Sensor Method for Privacy-Enhanced Smart Imaging. - Neeraj Solanki; Sepehr Tabrizchi; Ali Shafiee Sarvestani; Shaahin Angizi; Arman Roohi (ACM Great Lakes Symposium on VLSI, 2025)

Magnetic In/Near-Sensor Architectures: From Raw Sensing to Smart Processing. - Sepehr Tabrizchi; Ali Shafiee Sarvestani; Md Hasibul Amin; Deniz Najafi; Shaahin Angizi; Ramtin Zand; Arman Roohi (ACM Great Lakes Symposium on VLSI, 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)

Poster Abstract: RL-SEP: RL -Based S mart E xit Point Selection for Enhancing Energy Harvested System Longevity. - Ali Shafiee Sarvestani; Sepehr Tabrizchi; Nader Sehatbakhsh; Arman Roohi (SenSys, 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)

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence. - Neeraj Solanki; Sepehr Tabrizchi; Samin Sohrabi; Jason Schmidt; Arman Roohi (CoRR, 2025)