Shaahin Angizi

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.

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.

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.

“P-PIM: A Parallel Processing-in-DRAM Framework Enabling Row Hammer Protection”
2023.

“SenTer: A Reconfigurable Processing-in-Sensor Architecture Enabling Efficient Ternary MLP”
2023.

“XOR-CiM: An Efficient Computing-in-SOT-MRAM Design for Binary Neural Network Acceleration”
2023.

“A 1.23-GHz 16-kb Programmable and Generic Processing-in-SRAM Accelerator in 65nm”
2022.

“Design and Evaluation of a Robust Power-Efficient Ternary SRAM Cell”
2022.

“EaseMiss: HW/SW Co-Optimization for Efficient Large Matrix-Matrix Multiply Operations”
2022.

“Efficient Targeted Bit-Flip Attack Against the Local Binary Pattern Network”
2022.

“FlexiDRAM: A Flexible in-DRAM Framework to Enable Parallel General-Purpose Computation”
2022.

“Integrated Sensing and Computing using Energy-Efficient Magnetic Synapses”
2022.

“ReD-LUT: Reconfigurable in-DRAM LUTs enabling massive parallel computation”
2022.

“ReFACE: Efficient Design Methodology for Acceleration of Digital Filter Implementations”
2022.

“SCiMA: A Generic Single-Cycle Compute-in-Memory Acceleration Scheme for Matrix Computations”
2022.

“semiMul: Floating-Point Free Implementations for Efficient and Accurate Neural Network Training”
2022.

“TizBin: A low-power image sensor with event and object detection using efficient processing-in-pixel schemes”
2022.

“Toward a Behavioral-Level End-to-End Framework for Silicon Photonics Accelerators”
2022.

“Toward a Behavioral-Level End-to-End Framework for Silicon Photonics Accelerators”
2022.

“Work-in-progress: A processing-in-pixel accelerator based on multi-level HfO x ReRAM”
2022.

“Max-PIM: Fast and Efficient Max/Min Searching in DRAM”
2021.

“PIM-Quantifier: A Processing-in-Memory Platform for mRNA Quantification”
2021.

“RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems”
2021.

“A flexible processing-in-memory accelerator for dynamic channel-adaptive deep neural networks”
2020.

“Exploring dna alignment-in-memory leveraging emerging sot-mram”
2020.

“Modeling and benchmarking computing-in-memory for design space exploration”
2020.

“PIM-Aligner: A Processing-in-MRAM Platform for Biological Sequence Alignment”
2020.

“Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency”
2020.

“Aligns: A processing-in-memory accelerator for dna short read alignment leveraging sot-mram”
2019.

“Deep Neural Network Acceleration in Non-Volatile Memory: A Digital Approach”
2019.

“Graphide: A graph processing accelerator leveraging in-dram-computing”
2019.

“GraphS: A graph processing accelerator leveraging SOT-MRAM”
2019.

“Parapim: a parallel processing-in-memory accelerator for binary-weight deep neural networks”
2019.

“Processing-in-memory acceleration of convolutional neural networks for energy-effciency, and power-intermittency resilience”
2019.

“Redram: A reconfigurable processing-in-dram platform for accelerating bulk bit-wise operations”
2019.

“Accelerating low bit-width deep convolution neural network in MRAM”
2018.

“BD-NET: a multiplication-Less DNN with binarized depthwise separable convolution”
2018.

“Cmp-pim: an energy-efficient comparator-based processing-in-memory neural network accelerator”
2018.

“Dima: a depthwise cnn in-memory accelerator”
2018.

“Hielm: Highly flexible in-memory computing using stt mram”
2018.

“IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network”
2018.

“Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks”
2018.

“PIM-TGAN: A processing-in-memory accelerator for ternary generative adversarial networks”
2018.

“PIMA-logic: A novel processing-in-memory architecture for highly flexible and energy-efficient logic computation”
2018.

“Composite spintronic accuracy-configurable adder for low power digital signal processing”
2017.

“Energy efficient in-memory binary deep neural network accelerator with dual-mode SOT-MRAM”
2017.

“Energy efficient in-memory computing platform based on 4-terminal spin Hall effect-driven domain wall motion devices”
2017.

“Exploring STT-MRAM based in-memory computing paradigm with application of image edge extraction”
2017.

“High performance and energy-efficient in-memory computing architecture based on sot-mram”
2017.

“Hybrid polymorphic logic gate with 5-terminal magnetic domain wall motion device”
2017.

“IMC: Energy-Efficient In-Memory Convolver for Accelerating Binarized Deep Neural Network”
2017.

“In-memory computing with spintronic devices”
2017.

“Leveraging dual-mode magnetic crossbar for ultra-low energy in-memory data encryption”
2017.

“Leveraging Spintronic Devices for Ultra-Low Power In-Memory Computing: Logic and Neural Network”
2017.

“Low power in-memory computing based on dual-mode SOT-MRAM”
2017.

“Rimpa: A new reconfigurable dual-mode in-memory processing architecture with spin hall effect-driven domain wall motion device”
2017.

“Cost-efficient QCA reversible combinational circuits based on a new reversible gate”
2015.

“Designing nanoelectronic-compatible 8-bit square root circuit by quantum-dot cellular automata”
2015.