Reactive rejuvenation of CMOS logic paths using self-activating voltage domains. - Rizwan A. Ashraf; Ahmad Alzahrani 001; Navid Khoshavi; Ramtin Zand; Soheil Salehi; Arman Roohi; Mingjie Lin; Ronald F. DeMara (ISCAS, 2015)

Modeling an Improved Modified Type in Metallic Quantum-Dot Fixed Cell for Nano Structure Implementation. - Samira Sayedsalehi; Arman Roohi (PDP, 2015)

Design and Verification of New n-Bit Quantum-Dot Synchronous Counters Using Majority Function-Based JK Flip-Flops. - Shaahin Angizi; Samira Sayedsalehi; Arman Roohi; Nader Bagherzadeh; Keivan Navi (J. Circuits Syst. Comput., 2015)

Design and evaluation of an ultra-area-efficient fault-tolerant QCA full adder. - Arman Roohi; Ronald F. DeMara; Navid Khoshavi (Microelectron. J., 2015)

Loss-Aware Switch Design and Non-Blocking Detection Algorithm for Intra-Chip Scale Photonic Interconnection Networks. - Hesam Shabani; Arman Roohi; Akram Reza; Midia Reshadi; Nader Bagherzadeh; Ronald F. DeMara (IEEE Trans. Computers, 2016)

Scalable Adaptive Spintronic Reconfigurable Logic Using Area-Matched MTJ Design. - Ramtin Zand; Arman Roohi; Soheil Salehi; Ronald F. DeMara (IEEE Trans. Circuits Syst. II Express Briefs, 2016)

Heterogeneous Technology Configurable Fabrics for Field-Programmable Co-Design of CMOS and Spin-Based Devices. - Ronald F. DeMara; Arman Roohi; Ramtin Zand; Steven D. Pyle (ICRC, 2017)

Secure intermittent-robust computation for energy harvesting device security and outage resilience. - Arman Roohi; Ronald F. DeMara; Longfei Wang; Selçuk Köse (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Heterogeneous energy-sparing reconfigurable logic: spin-based storage and CNFET-based multiplexing. - Mohan Krishna Gopi Krishna; Arman Roohi; Ramtin Zand; Ronald F. DeMara (IET Circuits Devices Syst., 2017)

Towards ultra-efficient QCA reversible circuits. - Amir Mokhtar Chabi; Arman Roohi; Hossein Khademolhosseini; Shadi Sheikhfaal; Shaahin Angizi; Keivan Navi; Ronald F. DeMara (Microprocess. Microsystems, 2017)

Voltage-Based Concatenatable Full Adder Using Spin Hall Effect Switching. - Arman Roohi; Ramtin Zand; Deliang Fan; Ronald F. DeMara (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

Energy-Efficient and Process-Variation-Resilient Write Circuit Schemes for Spin Hall Effect MRAM Device. - Ramtin Zand; Arman Roohi; Ronald F. DeMara (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Logic-Encrypted Synthesis for Energy-Harvesting-Powered Spintronic-Embedded Datapath Design. - Arman Roohi; Ramtin Zand; Ronald F. DeMara (ACM Great Lakes Symposium on VLSI, 2018)

Synthesis of normally-off boolean circuits: An evolutionary optimization approach utilizing spintronic devices. - Arman Roohi; Ramtin Zand; Ronald F. DeMara (ISQED, 2018)

NV-Clustering: Normally-Off Computing Using Non-Volatile Datapaths. - Arman Roohi; Ronald F. DeMara (IEEE Trans. Computers, 2018)

A Parity-Preserving Reversible QCA Gate with Self-Checking Cascadable Resiliency. - Arman Roohi; Ramtin Zand; Shaahin Angizi; Ronald F. DeMara (IEEE Trans. Emerg. Top. Comput., 2018)

Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Effciency, and Power-Intermittency Resilience. - Arman Roohi; Shaahin Angizi; Deliang Fan; Ronald F. DeMara (ISQED, 2019)

IRC Cross-Layer Design Exploration of Intermittent Robust Computation Units for IoTs. - Arman Roohi; Ronald F. DeMara (ISVLSI, 2019)

Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience. - Arman Roohi; Shaahin Angizi; Deliang Fan; Ronald F. DeMara (CoRR, 2019)

SHIELDeNN: Online Accelerated Framework for Fault-Tolerant Deep Neural Network Architectures. - Navid Khoshavi; Arman Roohi; Connor Broyles; Saman Sargolzaei; Yu Bi; David Z. Pan (DAC, 2020)

Normally-off computing design methodology using spintronics: from device to architectures. - Arman Roohi (IGSC (Workshops), 2020)

Fiji-FIN: A Fault Injection Framework on Quantized Neural Network Inference Accelerator. - Navid Khoshavi; Connor Broyles; Yu Bi; Arman Roohi (ICMLA, 2020)

Entropy-Based Modeling for Estimating Soft Errors Impact on Binarized Neural Network Inference. - Navid Khoshavi; Saman Sargolzaei; Arman Roohi; Connor Broyles; Yu Bi (CoRR, 2020)

ApGAN: Approximate GAN for Robust Low Energy Learning From Imprecise Components. - Arman Roohi; Shadi Sheikhfaal; Shaahin Angizi; Deliang Fan; Ronald F. DeMara (IEEE Trans. Computers, 2020)

Entropy-Based Modeling for Estimating Adversarial Bit-flip Attack Impact on Binarized Neural Network. - Navid Khoshavi; Saman Sargolzaei; Yu Bi; Arman Roohi (ASP-DAC, 2021)

Processing-in-Memory Acceleration of MAC-based Applications Using Residue Number System: A Comparative Study. - Shaahin Angizi; Arman Roohi; MohammadReza Taheri; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2021)

RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems. - Arman Roohi; MohammadReza Taheri; Shaahin Angizi; Deliang Fan (ICCAD, 2021)

Ultra-Fast, High-Performance 8x8 Approximate Multipliers by a New Multicolumn 3, 3: 2 Inexact Compressor and its Derivatives. - Fereshteh Karimi; Reza Faghih Mirzaee; Ali Fakeri-Tabrizi; Arman Roohi (CoRR, 2021)

Work-in-Progress: A Processing-in-Pixel Accelerator based on Multi-level HfOx ReRAM. - Minhaz Abedin; Arman Roohi; Nathaniel C. Cady; Shaahin Angizi (CASES, 2022)

Toward a Behavioral-Level End-to-End Framework for Silicon Photonics Accelerators. - Emily Lattanzio; Ranyang Zhou; Arman Roohi; Abdallah Khreishah; Durga Misra; Shaahin Angizi (IGSC, 2022)

Efficient Targeted Bit-Flip Attack Against the Local Binary Pattern Network. - Arman Roohi; Shaahin Angizi (HOST, 2022)

ReD-LUT: Reconfigurable In-DRAM LUTs Enabling Massive Parallel Computation. - Ranyang Zhou; Arman Roohi; Durga Misra; Shaahin Angizi (ICCAD, 2022)

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)

Enabling Efficient Training of Convolutional Neural Networks for Histopathology Images. - Mohammed H. Alali; Arman Roohi; Jitender S. Deogun (ICIAP Workshops (1), 2022)

semiMul: Floating-Point Free Implementations for Efficient and Accurate Neural Network Training. - Ali Nezhadi; Shaahin Angizi; Arman Roohi (ICMLA, 2022)

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

FlexiDRAM: A Flexible in-DRAM Framework to Enable Parallel General-Purpose Computation. - Ranyang Zhou; Arman Roohi; Durga Misra; Shaahin Angizi (ISLPED, 2022)

Integrated Sensing and Computing using Energy-Efficient Magnetic Synapses. - Shaahin Angizi; Arman Roohi (ISQED, 2022)

ReFACE: Efficient Design Methodology for Acceleration of Digital Filter Implementations. - Arman Roohi; Shaahin Angizi; Pooriya Navaeilavasani; MohammadReza Taheri (ISQED, 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)

HARDeNN: Hardware-assisted attack-resilient deep neural network architectures. - Navid Khoshavi; Mohammad Maghsoudloo; Arman Roohi; Saman Sargolzaei; Yu Bi (Microprocess. Microsystems, 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)

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)

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)

Design and evaluation of ultra-fast 8-bit approximate multipliers using novel multicolumn inexact compressors. - Fereshteh Karimi; Reza Faghih Mirzaee; Ali Fakeri-Tabrizi; Arman Roohi (Int. J. Circuit Theory Appl., 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)

DRAM-Locker: A General-Purpose DRAM Protection Mechanism Against Adversarial DNN Weight Attacks. - Ranyang Zhou; Sabbir Ahmed; Arman Roohi; Adnan Siraj Rakin; Shaahin Angizi (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)

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)

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)

CARN: Complexity-Aware Routing Network for Efficient and Adaptive Inference. - Rebati Raman Gaire; Arman Roohi (CVPR Workshops, 2025)

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

LLM-IMC: Automating Analog In-Memory Computing Architecture Generation with Large Language Models. - Deepak Vungarala; Md Hasibul Amin; Pietro Mercati; Arman Roohi; Ramtin Zand; Shaahin Angizi (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 Prompt to Accelerator: A Perspective on LLM-Based Analog In-Memory Accelerator Design Automation. - Deepak Vungarala; Md Hasibul Amin; Arman Roohi; Arnob Ghosh; Ramtin Zand; Shaahin Angizi (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)

Wet-Neuromorphic Computing: A New Paradigm for Biological Artificial Intelligence. - Jeewaka Perera; Sasitharan Balasubramaniam; Samitha Somathilaka; Qu Wen; Xu Li 034; Dharshana Kasthurirathna; Arman Roohi; M. Tyler Nelson (IEEE Intell. Syst., 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)

LIMCA: LLM for Automating Analog In-Memory Computing Architecture Design Exploration. - Deepak Vungarala; Md Hasibul Amin; Pietro Mercati; Arnob Ghosh; Arman Roohi; Ramtin Zand; Shaahin Angizi (CoRR, 2025)