Shaahin Angizi
Assistant Professor, Electrical & Computer Engineering
- shaahin.angizi@njit.edu
- 973-596-3516
- 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
Awards & Honors
2026 Best Paper Award, 2026 Design, Automation and Test in Europe Conference (DATE), Verona, Italy,
Website
2026 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
Past Courses
ECE 451: ADVANCED COMPUTER ARCHITECTURE
ECE 452: ADVANCED COMPUTER ARCHITECTURE II
ECE 452: HIGH PERFORMANCE COMPUTER ARCHITECTURE
ECE 788: ST: HARDWARE ACCELERATION FOR MACHINE LEARNING
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
Journal Article
Neeraj Solanki, Hong Ding, Sepehr Tabrizchi, Ali Shafiee Sarvestani, Shaahin Angizi, David Z Pan, Arman Roohi. 2026. "GLANCE: Gaze-Led Attention Network for Compressed Edge-inference." arXiv preprint arXiv:2603.15717.
Xuming Chen, Deniz Najafi, Chengwei Zhou, Pietro Mercati, Arman Roohi, Mohsen Imani, Mahdi Nikdast, Shaahin Angizi, Gourav Datta. 2026. "Light-Bound Transformers: Hardware-Anchored Robustness for Silicon-Photonic Computer Vision Systems." arXiv preprint arXiv:2604.04330.
Ahmad A. Yaseer, Rakina Islam, Sungwhan Lee, Shaahin Angizi, Dong Kyun Ko. 2026. "Impact of Oxidative Aging on the Performance of Colloidal Quantum Dot-Sintered PbSe Infrared Detectors." ACS Applied Electronic Materials, vol. 8, no. 20, pp. 8909–8915.
Mohaiminul Al Nahian, Abeer Matar A Almalky, Gamana Aragonda, Ranyang Zhou, Sabbir Ahmed, Dmitry Ponomarev, Li Yang, Shaahin Angizi, Adnan Siraj Rakin. 2025. "CacheTrap: Injecting Trojans in LLMs without Leaving any Traces in Inputs or Weights." arXiv preprint arXiv:2511.22681.
Kartik Pandit, Sourav Ganguly, Arnesh Banerjee, Shaahin Angizi, Arnob Ghosh. 2025. "Certifiable Safe RLHF: Fixed-Penalty Constraint Optimization for Safer Language Models." arXiv preprint arXiv:2510.03520.
Ranyang Zhou, Abeer Matar A Almalky, Gamana Aragonda, Sabbir Ahmed, Tr\onnes-Christensen, Filip Roth, Adnan Siraj Rakin, Shaahin Angizi. 2025. "EIM-TRNG: Obfuscating Deep Neural Network Weights with Encoding-in-Memory True Random Number Generator via RowHammer." arXiv preprint arXiv:2507.02206.
Deepak Vungarala, Md Hasibul Amin, Pietro Mercati, Arnob Ghosh, Arman Roohi, Ramtin Zand, Shaahin Angizi. 2025. "Limca: Llm for automating analog in-memory computing architecture design exploration." arXiv preprint arXiv:2503.13301.
Deniz Najafi, Hamza Errahmouni Barkam, Mehrdad Morsali, SungHeon Jeong, Tamoghno Das, Arman Roohi, Mahdi Nikdast, Mohsen Imani, Shaahin Angizi. 2025. "Neuro-photonix: Enabling near-sensor neuro-symbolic ai computing on silicon photonics substrate." IEEE Transactions on Circuits and Systems for Artificial Intelligence, vol. 2, no. 2, pp. 101--113.
Deniz Najafi, Hamza Errahmouni Barkam, Zahra Ghanaatian, Mehrdad Morsali, Hanning Chen, Tamoghno Das, Arman Roohi, Pietro Mercati, Mahdi Nikdast, Mohsen Imani, others. 2025. "Opto-Aligner: Optical Near-Sensor Architecture for Accelerating DNA Pre-Alignment Filtering." IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
Ranyang Zhou, Jacqueline Liu, Nakul Kochar, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi. 2024. "A novel insight into the vulnerability of ddr4 dram cells across multiple hammering settings." IEEE Embedded Systems Letters, vol. 16, no. 4, pp. 337--340.
Sepehr Tabrizchi, Rebati Gaire, Mehrdad Morsali, Maximilian Liehr, Nathaniel Cady, Shaahin Angizi, Arman Roohi. 2024. "Apris: Approximate processing reram in-sensor architecture enabling artificial-intelligence-powered edge." IEEE Transactions on Emerging Topics in Computing.
Ranyang Zhou, Jacqueline Liu, Sabbir Ahmed, Nakul Kochar, Adnan Siraj Rakin, Shaahin Angizi. 2024. "Assessing the Potential of Escalating RowHammer Attack Distance to Bypass-Counter-Based Defenses." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 44, no. 4, pp. 1609--1613.
Mohammadreza Amel Solouki, Shaahin Angizi, Massimo Violante. 2024. "Dependability in embedded systems: a survey of fault tolerance methods and software-based mitigation techniques." IEEE Access, vol. 12, pp. 180939--180967.
Deniz Najafi, Mehrdad Morsali, Ranyang Zhou, Arman Roohi, Andrew Marshall, Durga Misra, Shaahin Angizi. 2024. "Enabling normally-off in situ computing with a magneto-electric fet-based sram design." IEEE Transactions on Electron Devices, vol. 71, no. 4, pp. 2742--2748.
Sanggeon Yun, Hanning Chen, Ryozo Masukawa, Hamza Errahmouni Barkam, Andrew Ding, Wenjun Huang, Arghavan Rezvani, Shaahin Angizi, Mohsen Imani. 2024. "Hypersense: Accelerating hyper-dimensional computing for intelligent sensor data processing." arXiv preprint arXiv:2401.10267.
Shaahin Angizi, Durga Misra. 2024. "IEEE CASS/EDS Chapter of North Jersey Section Receives IEEE CASS 2024 Regions 1--7 Chapter of the Year Award [CASS Chapter Highlights]." IEEE Circuits and Systems Magazine, vol. 24, no. 4, pp. 91--94.
Sepehr Tabrizchi, Md Hasibul Amin, Deniz Najafi, Shaahin Angizi, Ramtin Zand, Arman Roohi. 2024. "Magnetic-based integrated sensing and In/near-sensor processing: a comprehensive survey and future outlook." .
Shaahin Angizi, Naima Ahmed Fahmi, Deniz Najafi, Wei Zhang, Deliang Fan. 2024. "PANDA: Processing in magnetic random-access memory-accelerated de Bruijn graph-based DNA assembly." Journal of Low Power Electronics and Applications, vol. 14, no. 1, pp. 9.
Sepehr Tabrizchi, Mehrdad Morsali, David Pan, Shaahin Angizi, Arman Roohi. 2024. "Pinsim: A processing in-and near-sensor simulator to model intelligent vision sensors." IEEE Computer Architecture Letters, vol. 24, no. 1, pp. 17--20.
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, vol. 73, no. 12, pp. 19400--19416.
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.
Sepehr Tabrizchi, Brendan C Reidy, Deniz Najafi, Shaahin Angizi, Ramtin Zand, Arman Roohi. 2024. "Vitsen: Bridging vision transformers and edge computing with advanced in/near-sensor processing." IEEE Embedded Systems Letters, vol. 16, no. 4, pp. 341--344.
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, vol. 70, no. 9, pp. 4822--4828.
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.
Ranyang Zhou, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi. 2023. "DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack." arXiv preprint arXiv:2305.08034.
Arman Roohi, Sepehr Tabrizchi, Mehrdad Morsali, David Z Pan, Shaahin Angizi. 2023. "Pipsim: A behavior-level modeling tool for cnn processing-in-pixel accelerators." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 43, no. 1, pp. 141--150.
Arman Roohi, Sepehr Tabrizchi, Mehrdad Morsali, David Z Pan, Shaahin Angizi. 2023. "PiPSim: A Behavior-Level Modeling Tool for CNN Processing-in-Pixel Accelerators." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
Shaahin Angizi, Sepehr Tabrizchi, David Z Pan, Arman Roohi. 2023. "Pisa: A non-volatile processing-in-sensor accelerator for imaging systems." IEEE Transactions on Emerging Topics in Computing, vol. 11, no. 4, pp. 962--972.
Shaahin Angizi, Sepehr Tabrizchi, David Z Pan, Arman Roohi. 2023. "PISA: A Non-Volatile Processing-In-Sensor Accelerator for Imaging Systems." IEEE Transactions on Emerging Topics in Computing.
Mahmoud Nazzal, Abdallah Khreishah, Joyoung Lee, Shaahin Angizi. 2023. "Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach." arXiv preprint arXiv:2303.00524.
Ranyang Zhou, Jacqueline Liu, Sabbir Ahmed, Nakul Kochar, Adnan Siraj Rakin, Shaahin Angizi. 2023. "Threshold breaker: Can counter-based RowHammer prevention mechanisms truly safeguard DRAM?." arXiv preprint arXiv:2311.16460.
Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi. 2022. "A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks." arXiv preprint arXiv:2210.06698.
Mohammed H Alali, Arman Roohi, Shaahin Angizi, Jitender S Deogun. 2022. "Enabling Intelligent IoTs for Histopathology Image Analysis Using Convolutional Neural Networks." Micromachines, vol. 13, no. 8, pp. 1364.
Shadi Sheikhfaal, Shaahin Angizi, Ronald F DeMara. 2022. "Energy-Efficient Recurrent Neural Network with MRAM-based Probabilistic Activation Functions." IEEE Transactions on Emerging Topics in Computing.
Ranyang Zhou, Sepehr Tabrizchi, Arman Roohi, Shaahin Angizi. 2022. "LT-PIM: An LUT-based processing-in-DRAM architecture with RowHammer self-tracking." IEEE Computer Architecture Letters, vol. 21, no. 2, pp. 141--144.
Minhaz Abedin, Arman Roohi, Maximilian Liehr, Nathaniel Cady, Shaahin Angizi. 2022. "MR-PIPA: An Integrated Multi-level RRAM (HfO x) based Processing-In-Pixel Accelerator." IEEE Journal on Exploratory Solid-State Computational Devices and Circuits.
Minhaz Abedin, Arman Roohi, Maximilian Liehr, Nathaniel Cady, Shaahin Angizi. 2022. "MR-PIPA: An integrated multilevel RRAM (HfO x)-based processing-in-pixel accelerator." IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, vol. 8, no. 2, pp. 59--67.
Shaahin Angizi, Deliang Fan, Andrew Marshall, Peter A Dowben. 2022. "Nonvolatile Memory Based Architectures Using Magnetoelectric FETs." Advances in Semiconductor Technologies: Selected Topics Beyond Conventional CMOS, pp. 79--92.
Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi. 2022. "Ocelli: Efficient Processing-in-Pixel Array Enabling Edge Inference of Ternary Neural Networks." Journal of Low Power Electronics and Applications, vol. 12, no. 4, pp. 57.
Shaahin Angizi, Sepehr Tabrizchi, Arman Roohi. 2022. "Pisa: A binary-weight processing-in-sensor accelerator for edge image processing." arXiv preprint arXiv:2202.09035.
Fahimeh Danehdaran, Shaahin Angizi, Milad Bagherian Khosroshahy, Keivan Navi, Nader Bagherzadeh. 2021. "A combined three and five inputs majority gate-based high performance coplanar full adder in quantum-dot cellular automata." International Journal of Information Technology, vol. 13, no. 3, pp. 1165--1177.
Shaahin Angizi, Navid Khoshavi, Andrew Marshall, Peter Dowben, Deliang Fan. 2021. "MeF-RAM: A New Non-Volatile Cache Memory Based on Magneto-Electric FET." ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 27, no. 2, pp. 1--18.
Honglan Jiang, Shaahin Angizi, Deliang Fan, Jie Han, Leibo Liu. 2021. "Non-volatile approximate arithmetic circuits using scalable hybrid spin-CMOS majority gates." IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 3, pp. 1217--1230.
Shaahin Angizi, Zhezhi He, An Chen, Deliang Fan. 2020. "Hybrid spin-CMOS polymorphic logic gate with application in in-memory computing." IEEE Transactions on Magnetics, vol. 56, no. 2, pp. 1--15.
Shaahin Angizi, Navid Khoshavi, Andrew Marshall, Peter Dowben, Deliang Fan. 2020. "MERAM: Non-Volatile Cache Memory Based on Magneto-Electric FETs." arXiv preprint arXiv:2009.06119.
Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan. 2020. "PANDA: Processing-in-MRAM Accelerated De Bruijn Graph based DNA Assembly." arXiv preprint arXiv:2008.06177.
Zhezhi He, Li Yang, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan. 2020. "Sparse bd-net: A multiplication-less dnn with sparse binarized depth-wise separable convolution." ACM Journal on Emerging Technologies in Computing Systems (JETC), vol. 16, no. 2, pp. 1--24.
Shaahin Angizi, Deliang Fan. 2019. "Accelerating bulk bit-wise X (N) OR operation in processing-in-DRAM platform." arXiv preprint arXiv:1904.05782.
Arman Roohi, Shadi Sheikhfaal, Shaahin Angizi, Deliang Fan, Ronald F DeMara. 2019. "Apgan: Approximate gan for robust low energy learning from imprecise components." IEEE Transactions on Computers, vol. 69, no. 3, pp. 349--360.
Shaahin Angizi, Zhezhi He, Amro Awad, Deliang Fan. 2019. "MRIMA: An MRAM-based in-memory accelerator." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 5, pp. 1123--1136.
Hossein Khademolhosseini, Shaahin Angizi, Yaser Nemati. 2018. "A fault-tolerant design for 3-input majority gate in quantum-dot cellular automata." Journal of Nanoelectronics and Optoelectronics, vol. 13, no. 1, pp. 93--103.
Saeid Azimi, Shaahin Angizi, Mohammad Hossein Moaiyeri. 2018. "Efficient and robust SRAM cell design based on quantum-dot cellular automata." ECS Journal of Solid State Science and Technology, vol. 7, no. 3, pp. Q38.
Zhezhi He, Yang Zhang, Shaahin Angizi, Boqing Gong, Deliang Fan. 2018. "Exploring a SOT-MRAM based in-memory computing for data processing." IEEE Transactions on Multi-Scale Computing Systems, vol. 4, no. 4, pp. 676--685.
Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan. 2018. "IMCS2: Novel device-to-architecture co-design for low-power in-memory computing platform using coterminous spin switch." IEEE Transactions on Magnetics, vol. 54, no. 7, pp. 1--14.
Farhana Parveen, Shaahin Angizi, Deliang Fan. 2018. "Imflexcom: Energy efficient in-memory flexible computing using dual-mode sot-mram." ACM Journal on Emerging Technologies in Computing Systems (JETC), vol. 14, no. 3, pp. 1--18.
Shaahin Angizi, Honglan Jiang, Ronald F DeMara, Jie Han, Deliang Fan. 2018. "Majority-based spin-CMOS primitives for approximate computing." IEEE Transactions on Nanotechnology, vol. 17, no. 4, pp. 795--806.
Mohammad Hossein Moaiyeri, Farnaz Sabetzadeh, Shaahin Angizi. 2017. "An efficient majority-based compressor for approximate computing in the nano era." Microsystem Technologies, pp. 1--13.
Zhezhi He, Shaahin Angizi, Deliang Fan. 2017. "Current-induced dynamics of multiple skyrmions with domain-wall pair and skyrmion-based majority gate design." IEEE Magnetics Letters, vol. 8, pp. 1--5.
Shaahin Angizi, Zhezhi He, Nader Bagherzadeh, Deliang Fan. 2017. "Design and evaluation of a spintronic in-memory processing platform for nonvolatile data encryption." IEEE transactions on computer-aided design of integrated circuits and systems, vol. 37, no. 9, pp. 1788--1801.
Elham Taherkhani, Mohammad Hossein Moaiyeri, Shaahin Angizi. 2017. "Design of an ultra-efficient reversible full adder-subtractor in quantum-dot cellular automata." Optik, vol. 142, pp. 557--563.
Milad Bagherian Khosroshahy, Mohammad Hossein Moaiyeri, Shaahin Angizi, Nader Bagherzadeh, Keivan Navi. 2017. "Quantum-dot cellular automata circuits with reduced external fixed inputs." Microprocessors and microsystems, vol. 50, pp. 154--163.
Zahra Rouhani, Shaahin Angizi, MohammadReza Taheri, Keivan Navi, Nader Bagherzadeh. 2017. "Towards approximate computing with quantum-dot cellular automata." Journal of Low Power Electronics, vol. 13, no. 1, pp. 29--35.
Amir Mokhtar Chabi, Arman Roohi, Hossein Khademolhosseini, Shadi Sheikhfaal, Shaahin Angizi, Keivan Navi, Ronald F DeMara. 2017. "Towards ultra-efficient QCA reversible circuits." Microprocessors and Microsystems, vol. 49, pp. 127--138.
Arman Roohi, Ramtin Zand, Shaahin Angizi, Ronald F DeMara. 2016. "A parity-preserving reversible QCA gate with self-checking cascadable resiliency." IEEE Transactions on emerging topics in computing, vol. 6, no. 4, pp. 450--459.
Soheil Sarmadi, Samira Sayedsalehi, Mehdi Fartash, Shaahin Angizi. 2016. "A structured ultra-dense QCA one-bit full-adder cell." Quantum Matter, vol. 5, no. 1, pp. 118--123.
Keivan Navi, Saeedreza Khammar, Shayan Angizi, Shadi Sheikhfaal, Shaahin Angizi. 2016. "Excess Electron Quantum-Dot Cellular Automata Cell." Quantum Matter, vol. 5, no. 1, pp. 188--190.
Firdous Ahmad, Ghulam Mohiuddin Bhat, Hossein Khademolhosseini, Saeid Azimi, Shaahin Angizi, Keivan Navi. 2016. "Towards single layer quantum-dot cellular automata adders based on explicit interaction of cells." Journal of Computational Science, vol. 16, pp. 8--15.
Keivan Navi, Hossein Mohammadi, Shaahin Angizi. 2015. "A novel quantum-dot cellular automata reconfigurable majority gate with 5 and 7 inputs support." Journal of Computational and Theoretical Nanoscience, vol. 12, no. 3, pp. 399--406.
Shaahin Angizi, Fahimeh Danehdaran, Soheil Sarmadi, Shadi Sheikhfaal, Nader Bagherzadeh, Keivan Navi. 2015. "An ultra-high speed and low complexity quantum-dot cellular automata full adder." Journal of Low Power Electronics, vol. 11, no. 2, pp. 173--180.
Shaahin Angizi, Soheil Sarmadi, Samira Sayedsalehi, Keivan Navi. 2015. "Design and evaluation of new majority gate-based RAM cell in quantum-dot cellular automata." Microelectronics Journal, vol. 46, no. 1, pp. 43--51.
Soheil Sarmadi, Saeid Azimi, Shadi Sheikhfaal, Shaahin Angizi. 2015. "Designing Counter Using Inherent Capability of Quantum-dot Cellular Automata Loops.." International Journal of Modern Education \& Computer Science, vol. 7, no. 9.
Shadi Sheikhfaal, Keivan Navi, Shaahin Angizi, Ahmad Habibizad Navin. 2015. "Designing high speed sequential circuits by quantum-dot cellular automata: memory cell and counter study." Quantum Matter, vol. 4, no. 2, pp. 190--197.
Shaahin Angizi, Mohammad Hossein Moaiyeri, Shohreh Farrokhi, Keivan Navi, Nader Bagherzadeh. 2015. "Designing quantum-dot cellular automata counters with energy consumption analysis." Microprocessors and Microsystems, vol. 39, no. 7, pp. 512--520.
Somaye Mohammadyan, Shaahin Angizi, Keivan Navi. 2015. "New fully single layer QCA full-adder cell based on feedback model.." Int. J. High Perform. Syst. Archit., vol. 5, no. 4, pp. 202--208.
Samira Sayedsalehi, Mostafa Rahimi Azghadi, Shaahin Angizi, Keivan Navi. 2015. "Restoring and non-restoring array divider designs in quantum-dot cellular automata." Information sciences, vol. 311, pp. 86--101.
Amir Mokhtar Chabi, Samira Sayedsalehi, Shaahin Angizi, Keivan Navi. 2014. "Efficient QCA exclusive-or and multiplexer circuits based on a nanoelectronic-compatible designing approach." International scholarly research notices, vol. 2014.
Shaahin Angizi, Keivan Navi, Samira Sayedsalehi, Ahmad Habibizad Navin. 2014. "Efficient quantum dot cellular automata memory architectures based on the new wiring approach." Journal of Computational and Theoretical Nanoscience, vol. 11, no. 11, pp. 2318--2328.
Shaahin Angizi, Esam Alkaldy, Nader Bagherzadeh, Keivan Navi. 2014. "Novel robust single layer wire crossing approach for exclusive or sum of products logic design with quantum-dot cellular automata." Journal of Low Power Electronics, vol. 10, no. 2, pp. 259--271.
Other
"Method and system for a programmable and generic processing-in-SRAM accelerator"
February, 2026.
February, 2026.
"Neural network acceleration of image processing"
July (3rd Quarter/Summer), 2025.
July (3rd Quarter/Summer), 2025.
"Non-Volatile Processing-In-Sensor Accelerator For Imaging Systems"
August, 2024.
August, 2024.
"System and method for mrna quantification processing in-memory"
May, 2024.
May, 2024.
"One-cycle reconfigurable in-memory logic for non-volatile memory"
January (1st Quarter/Winter), 2024.
January (1st Quarter/Winter), 2024.
"System and method for fast and efficient max/min searching in dram"
September, 2023.
September, 2023.
"Processing-in-Memory for Data-Intensive Applications, from Device to Algorithm"
Arizona State University, 2021.
Arizona State University, 2021.
Conference Proceeding
"Compromising the intelligence of modern dnns: On the effectiveness of targeted rowpress"
2025.
2025.
"Deepcompress-vit: Rethinking model compression to enhance efficiency of vision transformers at the edge"
2025.
2025.
"Dyna-Optics: Architecting a Channel-Adaptive DNN Near-Sensor Optical Accelerator for Dynamic Inference"
2025.
2025.
"Event-driven spatiotemporal processing-in-sensor with phase change memory-based optical acceleration"
2025.
2025.
"Exploiting boosting in hyperdimensional computing for enhanced reliability in healthcare"
2025.
2025.
"FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design"
2025.
2025.
"From Pixels to Reasoning: A Cross-Layer Photonic Design for Edge Visual Intelligence"
2025.
2025.
"From Prompt to Accelerator: A Perspective on LLM-Based Analog In-Memory Accelerator Design Automation"
2025.
2025.
"How vulnerable are large language models (llms) against adversarial bit-flip attacks?"
2025.
2025.
"iSEW: in-Sensor Embedded Watermarking for Secure Imaging"
2025.
2025.
"LLM-IMC: Automating Analog In-Memory Computing Architecture Generation with Large Language Models"
2025.
2025.
"LLWRA: Large Language Models Weight Replacement Attack"
2025.
2025.
"Magnetic In/Near-Sensor Architectures: From Raw Sensing to Smart Processing"
2025.
2025.
"Maximizing Sub-Array Resource Utilization in Digital Processing-in-Memory: A Versatile Hardware-Aware Approach"
2025.
2025.
"Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics"
2025.
2025.
"OrganoSense: Neural Biosignal Processing in the Sensor Using Organic Devices"
2025.
2025.
"Pixelprune: Optimizing aiot vision systems via in-sensor segmentation and adaptive data transfer"
2025.
2025.
"Reducing Carbon Footprint with Analog and Digital in-Memory Computing: Energy-Efficient Semiconductor Designs"
2025.
2025.
"ResISC: Residue Number System-Based Integrated Sensing and Computing for Efficient Edge AI"
2025.
2025.
"Sa-ds: A dataset for large language model-driven ai accelerator design generation"
2025.
2025.
"SenGuard: A Novel Processing In-Sensor Method for Privacy-Enhanced Smart Imaging"
2025.
2025.
"VLM-PTA: Exploiting Page Table Attack to Deplete the Intelligence of VLMS"
2025.
2025.
"TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator"
2025 IEEE International Conference on LLM-Aided Design (ICLAD), July (3rd Quarter/Summer), 2025.
2025 IEEE International Conference on LLM-Aided Design (ICLAD), July (3rd Quarter/Summer), 2025.
"Chaosen: Security enhancement of image sensor through in-sensor chaotic computing"
2024.
2024.
"Deco: Dynamic energy-aware compression and optimization for in-memory neural networks"
2024.
2024.
"Deep-troj: An inference stage trojan insertion algorithm through efficient weight replacement attack"
2024.
2024.
"Diac: Design exploration of intermittent-aware computing realizing batteryless systems"
2024.
2024.
"Dnn-defender: A victim-focused in-dram defense mechanism for taming adversarial weight attack on dnns"
2024.
2024.
"Dram-locker: A general-purpose dram protection mechanism against adversarial dnn weight attacks"
2024.
2024.
"Energy-efficient near-sensor event detector based on multilevel ga 2 o 3 rram"
2024.
2024.
"HiRISE: High-resolution image scaling for edge ml via in-sensor compression and selective roi"
2024.
2024.
"Lightator: An optical near-sensor accelerator with compressive acquisition enabling versatile image processing"
2024.
2024.
"Oisa: Architecting an optical in-sensor accelerator for efficient visual computing"
2024.
2024.
"Ressen: Imager privacy enhancement through residue arithmetic processing in sensors"
2024.
2024.
"Towards High-Performance Domain-Specific in-Sensor and in-Memory Accelerators"
2024.
2024.
"SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance"
2024 IEEE International Conference on Rebooting Computing (ICRC) , December, 2024.
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.
2023.
"Comparative study of low bit-width dnn accelerators: Opportunities and challenges"
2023.
2023.
"Deep mapper: A multi-channel single-cycle near-sensor dnn accelerator"
2023.
2023.
"IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge"
2023.
2023.
"Ima-gnn: In-memory acceleration of centralized and decentralized graph neural networks at the edge"
2023.
2023.
"NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors"
2023.
2023.
"Ocellus: Highly Parallel Convolution-in-Pixel Scheme Realizing Power-Delay-Efficient Edge Intelligence"
2023.
2023.
"P-PIM: A Parallel Processing-in-DRAM Framework Enabling Row Hammer Protection"
2023.
2023.
"SenTer: A Reconfigurable Processing-in-Sensor Architecture Enabling Efficient Ternary MLP"
2023.
2023.
"XOR-CiM: An Efficient Computing-in-SOT-MRAM Design for Binary Neural Network Acceleration"
2023.
2023.
"A 1.23-GHz 16-kb Programmable and Generic Processing-in-SRAM Accelerator in 65nm"
2022.
2022.
"Design and Evaluation of a Robust Power-Efficient Ternary SRAM Cell"
2022.
2022.
"EaseMiss: HW/SW Co-Optimization for Efficient Large Matrix-Matrix Multiply Operations"
2022.
2022.
"Efficient Targeted Bit-Flip Attack Against the Local Binary Pattern Network"
2022.
2022.
"FlexiDRAM: A Flexible in-DRAM Framework to Enable Parallel General-Purpose Computation"
2022.
2022.
"Integrated Sensing and Computing using Energy-Efficient Magnetic Synapses"
2022.
2022.
"ReD-LUT: Reconfigurable in-DRAM LUTs enabling massive parallel computation"
2022.
2022.
"ReFACE: Efficient Design Methodology for Acceleration of Digital Filter Implementations"
2022.
2022.
"SCiMA: A Generic Single-Cycle Compute-in-Memory Acceleration Scheme for Matrix Computations"
2022.
2022.
"semiMul: Floating-Point Free Implementations for Efficient and Accurate Neural Network Training"
2022.
2022.
"TizBin: A low-power image sensor with event and object detection using efficient processing-in-pixel schemes"
2022.
2022.
"Toward a Behavioral-Level End-to-End Framework for Silicon Photonics Accelerators"
2022.
2022.
"Toward a Behavioral-Level End-to-End Framework for Silicon Photonics Accelerators"
2022.
2022.
"Work-in-progress: A processing-in-pixel accelerator based on multi-level HfO x ReRAM"
2022.
2022.
"Max-PIM: Fast and Efficient Max/Min Searching in DRAM"
2021.
2021.
"PIM-Quantifier: A Processing-in-Memory Platform for mRNA Quantification"
2021.
2021.
"RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems"
2021.
2021.
"A flexible processing-in-memory accelerator for dynamic channel-adaptive deep neural networks"
2020.
2020.
"Exploring dna alignment-in-memory leveraging emerging sot-mram"
2020.
2020.
"Modeling and benchmarking computing-in-memory for design space exploration"
2020.
2020.
"PIM-Aligner: A Processing-in-MRAM Platform for Biological Sequence Alignment"
2020.
2020.
"Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency"
2020.
2020.
"Aligns: A processing-in-memory accelerator for dna short read alignment leveraging sot-mram"
2019.
2019.
"Deep Neural Network Acceleration in Non-Volatile Memory: A Digital Approach"
2019.
2019.
"Graphide: A graph processing accelerator leveraging in-dram-computing"
2019.
2019.
"GraphS: A graph processing accelerator leveraging SOT-MRAM"
2019.
2019.
"Parapim: a parallel processing-in-memory accelerator for binary-weight deep neural networks"
2019.
2019.
"Processing-in-memory acceleration of convolutional neural networks for energy-effciency, and power-intermittency resilience"
2019.
2019.
"Redram: A reconfigurable processing-in-dram platform for accelerating bulk bit-wise operations"
2019.
2019.
"Accelerating low bit-width deep convolution neural network in MRAM"
2018.
2018.
"BD-NET: a multiplication-Less DNN with binarized depthwise separable convolution"
2018.
2018.
"Cmp-pim: an energy-efficient comparator-based processing-in-memory neural network accelerator"
2018.
2018.
"Dima: a depthwise cnn in-memory accelerator"
2018.
2018.
"Hielm: Highly flexible in-memory computing using stt mram"
2018.
2018.
"IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network"
2018.
2018.
"Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks"
2018.
2018.
"PIM-TGAN: A processing-in-memory accelerator for ternary generative adversarial networks"
2018.
2018.
"PIMA-logic: A novel processing-in-memory architecture for highly flexible and energy-efficient logic computation"
2018.
2018.
"Composite spintronic accuracy-configurable adder for low power digital signal processing"
2017.
2017.
"Energy efficient in-memory binary deep neural network accelerator with dual-mode SOT-MRAM"
2017.
2017.
"Energy efficient in-memory computing platform based on 4-terminal spin Hall effect-driven domain wall motion devices"
2017.
2017.
"Exploring STT-MRAM based in-memory computing paradigm with application of image edge extraction"
2017.
2017.
"High performance and energy-efficient in-memory computing architecture based on sot-mram"
2017.
2017.
"Hybrid polymorphic logic gate with 5-terminal magnetic domain wall motion device"
2017.
2017.
"IMC: Energy-Efficient In-Memory Convolver for Accelerating Binarized Deep Neural Network"
2017.
2017.
"In-memory computing with spintronic devices"
2017.
2017.
"Leveraging dual-mode magnetic crossbar for ultra-low energy in-memory data encryption"
2017.
2017.
"Leveraging Spintronic Devices for Ultra-Low Power In-Memory Computing: Logic and Neural Network"
2017.
2017.
"Low power in-memory computing based on dual-mode SOT-MRAM"
2017.
2017.
"Rimpa: A new reconfigurable dual-mode in-memory processing architecture with spin hall effect-driven domain wall motion device"
2017.
2017.
"Cost-efficient QCA reversible combinational circuits based on a new reversible gate"
2015.
2015.
"Designing nanoelectronic-compatible 8-bit square root circuit by quantum-dot cellular automata"
2015.
2015.
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.