Novel Robust Single Layer Wire Crossing Approach for Exclusive OR Sum of Products Logic Design with Quantum-Dot Cellular Automata. - Shaahin Angizi; Esam Alkaldy; Nader Bagherzadeh; Keivan Navi (J. Low Power Electron., 2014)

Designing Nanoelectronic-Compatible 8-bit Square Root Circuit by Quantum-Dot Cellular Automata. - Mohammad Reza Jahangir; Shadi Sheikhfaal; Shaahin Angizi; Keivan Navi; Firdous Ahmad (iNIS, 2015)

New fully single layer QCA full-adder cell based on feedback model. - Somaye Mohammadyan; Shaahin Angizi; Keivan Navi (Int. J. High Perform. Syst. Archit., 2015)

Restoring and non-restoring array divider designs in Quantum-dot Cellular Automata. - Samira Sayedsalehi; Mostafa Rahimi Azghadi; Shaahin Angizi; Keivan Navi (Inf. Sci., 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)

An Ultra-High Speed and Low Complexity Quantum-Dot Cellular Automata Full Adder. - Shaahin Angizi; Fahimeh Danehdaran; Soheil Sarmadi; Shadi Sheikhfaal; Nader Bagherzadeh; Keivan Navi (J. Low Power Electron., 2015)

Designing quantum-dot cellular automata counters with energy consumption analysis. - Shaahin Angizi; Mohammad Hossein Moaiyeri; Shohreh Farrokhi; Keivan Navi; Nader Bagherzadeh (Microprocess. Microsystems, 2015)

Design and evaluation of new majority gate-based RAM cell in quantum-dot cellular automata. - Shaahin Angizi; Soheil Sarmadi; Samira Sayedsalehi; Keivan Navi (Microelectron. J., 2015)

Designing efficient QCA logical circuits with power dissipation analysis. - Shadi Sheikhfaal; Shaahin Angizi; Soheil Sarmadi; Mohammad Hossein Moaiyeri; Samira Sayedsalehi (Microelectron. J., 2015)

A Novel Efficient Reversible Full Adder-Subtractor in QCA Nanotechnology. - Mohammad Hossein Moaiyeri; Elham Taherkhani; Shaahin Angizi (CoRR, 2016)

Towards single layer quantum-dot cellular automata adders based on explicit interaction of cells. - Firdous Ahmad; Ghulam Mohiuddin Bhat; Hossein Khademolhosseini; Saeid Azimi; Shaahin Angizi; Keivan Navi (J. Comput. Sci., 2016)

Energy Efficient In-Memory Computing Platform Based on 4-Terminal Spin Hall Effect-Driven Domain Wall Motion Devices. - Shaahin Angizi; Zhezhi He; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2017)

Leveraging Dual-Mode Magnetic Crossbar for Ultra-low Energy In-memory Data Encryption. - Zhezhi He; Shaahin Angizi; Farhana Parveen; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2017)

Energy Efficient In-Memory Binary Deep Neural Network Accelerator with Dual-Mode SOT-MRAM. - Deliang Fan; Shaahin Angizi (ICCD, 2017)

Exploring STT-MRAM Based In-Memory Computing Paradigm with Application of Image Edge Extraction. - Zhezhi He; Shaahin Angizi; Deliang Fan (ICCD, 2017)

Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device. - Farhana Parveen; Shaahin Angizi; Zhezhi He; Deliang Fan (ISCAS, 2017)

Low power in-memory computing based on dual-mode SOT-MRAM. - Farhana Parveen; Shaahin Angizi; Zhezhi He; Deliang Fan (ISLPED, 2017)

Composite spintronic accuracy-configurable adder for low power Digital Signal Processing. - Shaahin Angizi; Zhezhi He; Ronald F. DeMara; Deliang Fan (ISQED, 2017)

RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device. - Shaahin Angizi; Zhezhi He; Farhana Parveen; Deliang Fan (ISVLSI, 2017)

In-Memory Computing with Spintronic Devices. - Deliang Fan; Shaahin Angizi; Zhezhi He (ISVLSI, 2017)

Hybrid Polymorphic Logic Gate with 5-Terminal Magnetic Domain Wall Motion Device. - Farhana Parveen; Zhezhi He; Shaahin Angizi; Deliang Fan (ISVLSI, 2017)

Leveraging spintronic devices for ultra-low power in-memory computing: Logic and neural network. - Deliang Fan; Zhezhi He; Shaahin Angizi (MWSCAS, 2017)

High performance and energy-efficient in-memory computing architecture based on SOT-MRAM. - Zhezhi He; Shaahin Angizi; Farhana Parveen; Deliang Fan (NANOARCH, 2017)

IMC: energy-efficient in-memory convolver for accelerating binarized deep neural network. - Shaahin Angizi; Deliang Fan (NCS, 2017)

Current Induced Dynamics of Multiple Skyrmions with Domain Wall Pair and Skyrmion-based Majority Gate Design. - Zhezhi He; Shaahin Angizi; Deliang Fan (CoRR, 2017)

Towards Approximate Computing with Quantum-Dot Cellular Automata. - Zahra Rouhani; Shaahin Angizi; MohammadReza Taheri; Keivan Navi; Nader Bagherzadeh (J. Low Power Electron., 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)

Quantum-dot cellular automata circuits with reduced external fixed inputs. - Milad Bagherian Khosroshahy; Mohammad Hossein Moaiyeri; Shaahin Angizi; Nader Bagherzadeh; Keivan Navi (Microprocess. Microsystems, 2017)

IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network. - Shaahin Angizi; Zhezhi He; Farhana Parveen; Deliang Fan (ASP-DAC, 2018)

HielM: Highly flexible in-memory computing using STT MRAM. - Farhana Parveen; Zhezhi He; Shaahin Angizi; Deliang Fan (ASP-DAC, 2018)

PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation. - Shaahin Angizi; Zhezhi He; Deliang Fan (DAC, 2018)

CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. - Shaahin Angizi; Zhezhi He; Adnan Siraj Rakin; Deliang Fan (DAC, 2018)

Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks. - Shaahin Angizi; Zhezhi He; Yu Bai 004; Jie Han 001; Mingjie Lin; Ronald F. DeMara; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2018)

DIMA: a depthwise CNN in-memory accelerator. - Shaahin Angizi; Zhezhi He; Deliang Fan (ICCAD, 2018)

PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. - Adnan Siraj Rakin; Shaahin Angizi; Zhezhi He; Deliang Fan (ICCD, 2018)

Accelerating Low Bit-Width Deep Convolution Neural Network in MRAM. - Zhezhi He; Shaahin Angizi; Deliang Fan (ISVLSI, 2018)

BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution. - Zhezhi He; Shaahin Angizi; Adnan Siraj Rakin; Deliang Fan (ISVLSI, 2018)

IMFlexCom: Energy Efficient In-Memory Flexible Computing Using Dual-Mode SOT-MRAM. - Farhana Parveen; Shaahin Angizi; Deliang Fan (ACM J. Emerg. Technol. Comput. Syst., 2018)

Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption. - Shaahin Angizi; Zhezhi He; Nader Bagherzadeh; Deliang Fan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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)

Exploring a SOT-MRAM Based In-Memory Computing for Data Processing. - Zhezhi He; Yang Zhang 035; Shaahin Angizi; Boqing Gong; Deliang Fan (IEEE Trans. Multi Scale Comput. Syst., 2018)

ParaPIM: a parallel processing-in-memory accelerator for binary-weight deep neural networks. - Shaahin Angizi; Zhezhi He; Deliang Fan (ASP-DAC, 2019)

AlignS: A Processing-In-Memory Accelerator for DNA Short Read Alignment Leveraging SOT-MRAM. - Shaahin Angizi; Jiao Sun; Wei Zhang 076; Deliang Fan (DAC, 2019)

GraphS: A Graph Processing Accelerator Leveraging SOT-MRAM. - Shaahin Angizi; Jiao Sun; Wei Zhang 076; Deliang Fan (DATE, 2019)

GraphiDe: A Graph Processing Accelerator leveraging In-DRAM-Computing. - Shaahin Angizi; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2019)

ReDRAM: A Reconfigurable Processing-in-DRAM Platform for Accelerating Bulk Bit-Wise Operations. - Shaahin Angizi; Deliang Fan (ICCAD, 2019)

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)

Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach? - Shaahin Angizi; Zhezhi He; Dayane Alfenas Reis; Xiaobo Sharon Hu; Wilman Tsai; Shy Jay Lin; Deliang Fan (ISVLSI, 2019)

Deep Neural Network Acceleration in Non-Volatile Memory: A Digital Approach. - Shaahin Angizi; Deliang Fan (NANOARCH, 2019)

Accelerating Bulk Bit-Wise X(N)OR Operation in Processing-in-DRAM Platform. - Shaahin Angizi; Deliang Fan (CoRR, 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)

A Flexible Processing-in-Memory Accelerator for Dynamic Channel-Adaptive Deep Neural Networks. - Li Yang 009; Shaahin Angizi; Deliang Fan (ASP-DAC, 2020)

PIM-Assembler: A Processing-in-Memory Platform for Genome Assembly. - Shaahin Angizi; Naima Ahmed Fahmi; Wei Zhang 076; Deliang Fan (DAC, 2020)

PIM-Aligner: A Processing-in-MRAM Platform for Biological Sequence Alignment. - Shaahin Angizi; Jiao Sun; Wei Zhang 076; Deliang Fan (DATE, 2020)

Exploring DNA Alignment-in-Memory Leveraging Emerging SOT-MRAM. - Shaahin Angizi; Wei Zhang 076; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2020)

Modeling and Benchmarking Computing-in-Memory for Design Space Exploration. - Dayane Reis; Di Gao; Shaahin Angizi; Xunzhao Yin; Deliang Fan; Michael T. Niemier; Cheng Zhuo; Xiaobo Sharon Hu (ACM Great Lakes Symposium on VLSI, 2020)

Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency. - Li Yang 009; Zhezhi He; Shaahin Angizi; Deliang Fan (SoCC, 2020)

PANDA: Processing-in-MRAM Accelerated De Bruijn Graph based DNA Assembly. - Shaahin Angizi; Naima Ahmed Fahmi; Wei Zhang 076; Deliang Fan (CoRR, 2020)

MERAM: Non-Volatile Cache Memory Based on Magneto-Electric FETs. - Shaahin Angizi; Navid Khoshavi; Andrew Marshall; Peter Dowben; Deliang Fan (CoRR, 2020)

Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution. - Zhezhi He; Li Yang 009; Shaahin Angizi; Adnan Siraj Rakin; Deliang Fan (ACM J. Emerg. Technol. Comput. Syst., 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)

MRIMA: An MRAM-Based In-Memory Accelerator. - Shaahin Angizi; Zhezhi He; Amro Awad; Deliang Fan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Max-PIM: Fast and Efficient Max/Min Searching in DRAM. - Fan Zhang 069; Shaahin Angizi; Deliang Fan (DAC, 2021)

PIM-Quantifier: A Processing-in-Memory Platform for mRNA Quantification. - Fan Zhang 069; Shaahin Angizi; Naima Ahmed Fahmi; Wei Zhang 076; Deliang Fan (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)

Non-Volatile Approximate Arithmetic Circuits Using Scalable Hybrid Spin-CMOS Majority Gates. - Honglan Jiang; Shaahin Angizi; Deliang Fan; Jie Han 001; Leibo Liu (IEEE Trans. Circuits Syst. I Regul. Pap., 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)

A 1.23-GHz 16-kb Programmable and Generic Processing-in-SRAM Accelerator in 65nm. - Amitesh Sridharan; Shaahin Angizi; Sai Kiran Cherupally; Fan Zhang 069; Jae-Sun Seo; Deliang Fan (ESSCIRC, 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)

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)

MeF-RAM: A New Non-Volatile Cache Memory Based on Magneto-Electric FET. - Shaahin Angizi; Navid Khoshavi; Andrew Marshall; Peter Dowben; Deliang Fan (ACM Trans. Design Autom. Electr. Syst., 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)

Accelerating Low Bit-width Neural Networks at the Edge, PIM or FPGA: A Comparative Study. - Nakul Kochar; Lucas Ekiert; Deniz Najafi; Deliang Fan; Shaahin Angizi (ACM Great Lakes Symposium on VLSI, 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)

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)

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)

DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack. - Ranyang Zhou; Sabbir Ahmed; Adnan Siraj Rakin; Shaahin Angizi (CoRR, 2023)

Threshold Breaker: Can Counter-Based RowHammer Prevention Mechanisms Truly Safeguard DRAM? - Ranyang Zhou; Jacqueline T. Liu; Sabbir Ahmed; Nakul Kochar; Adnan Siraj Rakin; Shaahin Angizi (CoRR, 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)

Energy-Efficient Recurrent Neural Network With MRAM-Based Probabilistic Activation Functions. - Shadi Sheikhfaal; Shaahin Angizi; Ronald F. DeMara (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)

Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment. - Fan Zhang 069; Shaahin Angizi; Jiao Sun; Wei Zhang 076; Deliang Fan (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Deep-TROJ: An Inference Stage Trojan Insertion Algorithm Through Efficient Weight Replacement Attack. - Sabbir Ahmed; Ranyang Zhou; Shaahin Angizi; Adnan Siraj Rakin (CVPR, 2024)

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)

DNN-Defender: A Victim-Focused In-DRAM Defense Mechanism for Taming Adversarial Weight Attack on DNNs. - Ranyang Zhou; Sabbir Ahmed; Adnan Siraj Rakin; 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)

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)

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

SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance. - Deepak Vungarala; Sakila Alam; Arnob Ghosh; Shaahin Angizi (ICRC, 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)

Dependability in Embedded Systems: A Survey of Fault Tolerance Methods and Software-Based Mitigation Techniques. - Mohammadreza Amel Solouki; Shaahin Angizi; Massimo Violante (IEEE Access, 2024)

HyperSense: Accelerating Hyper-Dimensional Computing for Intelligent Sensor Data Processing. - Sanggeon Yun; Hanning Chen; Ryozo Masukawa; Hamza Errahmouni Barkam; Andrew Ding; Wenjun Huang 001; Arghavan Rezvani; Shaahin Angizi; Mohsen Imani (CoRR, 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)

DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism. - Ranyang Zhou; Jacqueline T. Liu; Nakul Kochar; Sabbir Ahmed; Adnan Siraj Rakin; Shaahin Angizi (CoRR, 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)

HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processing. - Sanggeon Yun; Hanning Chen; Ryozo Masukawa; Hamza Errahmouni Barkam; Andrew Ding; Wenjun Huang 001; Arghavan Rezvani; Shaahin Angizi; Mohsen Imani (Adv. Intell. 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)

A Novel Insight Into the Vulnerability of DDR4 DRAM Cells Across Multiple Hammering Settings. - Ranyang Zhou; Jacqueline T. Liu; Nakul Kochar; Sabbir Ahmed; Adnan Siraj Rakin; Shaahin Angizi (IEEE Embed. Syst. Lett., 2024)

Semi-Decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach. - Mahmoud Nazzal; Abdallah Khreishah; Joyoung Lee; Shaahin Angizi; Ala I. Al-Fuqaha; Mohsen Guizani (IEEE Trans. Veh. Technol., 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)

DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge. - Sabbir Ahmed; Abdullah Al Arafat; Deniz Najafi; Akhlak Mahmood; Mamshad Nayeem Rizve; Mohaiminul Al Nahian; Ranyang Zhou; Shaahin Angizi; Adnan Siraj Rakin (CVPR, 2025)

Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare. - Sungheon Jeong 001; Hamza Errahmouni Barkam; Sanggeon Yun; Yeseong Kim; Shaahin Angizi; Mohsen Imani (DATE, 2025)

Compromising the Intelligence of Modern DNNs: On the Effectiveness of Targeted RowPress. - Ranyang Zhou; Jacqueline T. Liu; Sabbir Ahmed; Shaahin Angizi; Adnan Siraj Rakin (DATE, 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)

How Vulnerable are Large Language Models (LLMs) against Adversarial Bit-Flip Attacks? - Abeer Matar A Almalky; Ranyang Zhou; Shaahin Angizi; Adnan Siraj Rakin (ACM Great Lakes Symposium on VLSI, 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)

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)

TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator. - Deepak Vungarala; Mohammed E. Elbtity; Sumiya Syed; Sakila Alam; Kartik Pandit; Arnob Ghosh; Ramtin Zand; Shaahin Angizi (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)

Assessing the Potential of Escalating RowHammer Attack Distance to Bypass-Counter-Based Defenses. - Ranyang Zhou; Jacqueline T. Liu; Sabbir Ahmed; Nakul Kochar; Adnan Siraj Rakin; Shaahin Angizi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

EIM-TRNG: Obfuscating Deep Neural Network Weights with Encoding-in-Memory True Random Number Generator via RowHammer. - Ranyang Zhou; Abeer Matar A Almalky; Gamana Aragonda; Sabbir Ahmed; Filip Roth Trønnes-Christensen; Adnan Siraj Rakin; Shaahin Angizi (CoRR, 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)