Conference
- O. Kurkutlu, and A. Roohi*, “LiMPNet: Lightweight Multi-sensor Perception and DRL Navigation for Tiny Drones in Mapless Environments,” The 3rd AAAI Fall Symposium on Unifying Representations for Robot Application Development, November 6-8, 2025.
- Sh. Gerami, S. Tabrizchi, O. Kurkutlu, R. Gaire, and A. Roohi*, “SunSift: Solar-Powered Intelligent Sensing through Informative Sample Selection,” 6th IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), Sep 29 – Oct 3, 2025.
- O. Kurkutlu, and A. Roohi*, “Lightweight Temporal Consistency for Grid-Based Obstacle Detection in Edge Devices,” 3rd International Workshop on Artificial Intelligence for Autonomous computing Systems (AI4AS 2025), Sep 29 – Oct 3, 2025.
- S. Tabrizchi, N. Solanki, A. Shafiee Sarvestani, Sh. Angizi, and A. Roohi*, “OrganoSense: Neural Biosignal Processing in the Sensor Using Organic Devices,” IEEE 68th International Midwest Symposium on Circuits and Systems (MWSCAS), August 10-13, 2025.
- R. Gaire and A. Roohi*, “FDAL: Leveraging Feature Distillation for Efficient and Task-Aware Active Learning,” 2nd ICCV Workshop on Efficient Computing under Limited Resources: Visual Computing (ECLR), Honolulu, Hawai’i, USA, 2025. September, 2025
- S. Tabrizchi, M.S. Moghadam, A. Shafiee Sarvestani, S. Aygun, M.H. Najafi, and A. Roohi*, “STIC: Stochastic Intermittent Computing for Always-On Sensing in Energy-Harvested Systems,” ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), San Diego, California, USA, 2025.
- N. Solanki, S. Tabrizchi, S. Angizi, and A. Roohi*, “SenGuard: A Novel Processing In-Sensor Method for Privacy-Enhanced Smart Imaging,” Great Lakes Symposium on VLSI (GLSVLSI), New Orleans, Louisiana, USA, 2025.
- G. Aragonda, D. Najafi, D. Vungarala, S. Tabrizchi, A. Roohi*, and S. Angizi, “Maximizing Sub- Array Resource Utilization in Digital Processing-in-Memory: A Versatile Hardware-Aware Approach,” Great Lakes Symposium on VLSI (GLSVLSI), New Orleans, Louisiana, USA, 2025.
- M. Morsali, D. Najafi, A. Shafiee, S. Tabrizchi, P. Mercati, M. Imani, A. Roohi*, N. Khoshavi, M. Nikdast, and S. Angizi, “Event-Driven Spatiotemporal Processing-In-Sensor with Phase Change Memory-based Optical Acceleration,” Great Lakes Symposium on VLSI (GLSVLSI), New Orleans, Louisiana, USA, 2025.
- D. Vungarala, M.H. Amin, A. Ghosh, A. Roohi*, R. Zand, and S. Angizi, “From Prompt to Accelerator: A Perspective on LLM-Based Analog In-Memory Accelerator Design Automation,” Great Lakes Symposium on VLSI (GLSVLSI), New Orleans, Louisiana, USA, 2025.
- S. Tabrizchi, A. Shafiee Sarvestani, M.H. Amin, D. Najafi, R. Zand, S. Angizi, and A. Roohi*, “Magnetic In/Near-Sensor Architectures: From Raw Sensing to Smart Processing,” Great Lakes Symposium on VLSI (GLSVLSI), New Orleans, Louisiana, USA, 2025.
- S. Tabrizchi, Sh. Angizi, and A. Roohi*, “iSEW: in-Sensor Embedded Watermarking for Secure Imaging,” 33rd IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM) MADCAP , Fayetteville, Arkansas, USA, 2025.
- D. Vungarala, Md H. Amin, P. Mercati, A. Roohi, R. Zand, and Sh. Angizi*, “LLM-IMC: Automating Analog In-Memory Computing Architecture Generation with Large Language Models,” 33rd IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM) MADCAP, Fayetteville, Arkansas, USA, 2025.
- A. Shafiee Sarvestani, S. Tabrizchi, N. Sehatbakhsh, and A. Roohi*, “Poster Abstract: RL-SEP: RL -Based S mart E xit Point Selection for Enhancing Energy Harvested System Longevity,” ACM SenSys 2025, Irvine, CA, USA, 2025.
- R. Gaire, and A. Roohi*, “CARN: Complexity-Aware Routing Network for Efficient and Adaptive Inference,” 2nd CVPR Workshop on Efficient Large Vision Models (eLVM), Nashville, Tennessee, USA, 2025.
- S. Tabrizchi, S. Sohrabi, M. Mohammadi, R. Zand, Sh. Angizi, and A. Roohi*, “ResISC: Residue Number System-Based Integrated Sensing and Computing for Efficient Edge AI,” 62nd Design Automation Conference (DAC), San Francisco, CA, USA, June 22-25, 2025.
- S. Hossain, O. Kurkutlu, O. Adekola, S. Kumar Pramanik, S. Md Mahmudul Islam, A. Roohi, and D. Vital*, “Autonomous Integrated Sensing and Processing for BioRadar: Advancing Non-Invasive Biomedical Monitoring and Signal Analysis,” IEEE MTT-S International Microwave Biomedical Conference (IMBioC), Kaohsiung, Taiwan, 2025
- A. K. Mohammad Masum, M. Moghadam, L. Kouhalvandi, M. H. Najafi, A. Roohi, and Sercan Aygun*, “Pseudo-Random versus Quasi-Random Number Generation using Quantum Circuits,” Workshop on Architecting Error Corrected Quantum Computers (ARQTEC) co-located with HPCA 2025, Las Vegas, NV, USA, 2025.
- N. Solanki, S. Tabrizchi, S. Sohrabi, J. Schmidt, and A. Roohi*, “ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence,” EMC2 – Energy Efficient Machine Learning and Cognitive Computing (EMC2) co-located with HPCA 2025, Las Vegas, NV, USA, 2025. September, 2025
- S. Tabrizchi, N. Taheri, J. Feng, N. Sehatbakhsh, D. Z. Pan, and A. Roohi*, “SRC: Sustainable Reactive Computing for Battery-free Edge Intelligence,” 15th IEEE International Conference on Green and Sustainable Computing (IEEE IGSC), co-located with MICRO’24, Austin, TX, USA, 2024.
- N. Taheri, S. Tabrizchi, Sh. Angizi, and A. Roohi*, “ChaoSen: Security Enhancement of Image Sensor through in-Sensor Chaotic Computing,” 42nd IEEE International Conference on Computer Design (ICCD), Milan, Italy, 2024.
- R. Gaire, S. Tabrizchi, D. Najafi, Sh. Angizi, and A. Roohi*, “DECO: Dynamic Energy-aware Compression and Optimization for In-Memory Neural Networks,” IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS), August 11-14, 2024.
- R. Gaire, S. Tabrizchi, and A. Roohi*, “Resource-Efficient Adaptive-Network Inference Framework with Knowledge Distillation-based Unified Learning,” IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Knoxville, Tennessee, USA, July 1-2, 2024.
- M. Morsali, R. Velpula, M. Muthu, H. Nguyen, M. Imani, A. Roohi, R. Zand, and Sh. Angizi*, “Energy-Efficient Near-Sensor Event Detector based on Multilevel Ga2O3 RRAM,” IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Knoxville, Tennessee, USA, July 1-2, 2024.
- N. Taheri, S. Tabrizchi, D. Najafi, Sh. Angizi, and A. Roohi*, “ResSen: Imager Privacy Enhance- ment through Residue Arithmetic Processing in Sensors,” IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Knoxville, Tennessee, USA, July 1-2, 2024.
- D. Najafi, S. Tabrizchi, R. Zhou, M. Solouki, A. Marshal, A. Roohi, and Sh. Angizi*, “Hybrid Magneto-electric FET-CMOS Integrated Memory Design for Instant-on Computing,” ACM Great Lakes Symposium on VLSI (GLSVLSI 2024), June 12-14, 2024.
- S. Tabrizchi, N. Taheri, Sh. Angizi, and A. Roohi*, “RACSen: Residue Arithmetic and Chaotic Processing in Sensors to Enhance CMOS Imager Security,” ACM Great Lakes Symposium on VLSI (GLSVLSI 2024), June 12-14, 2024.
- B. Reidy, S. Tabrizchi, M. Mohammadi, Sh. Angizi, A. Roohi, and R. Zand*, “HiRISE: High- Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI,” 61st Design Automation Conference (DAC), San Francisco, CA, USA, July 23-27, 2024.
- M. Morsali, B. Reidy, D. Najafi, S. Tabrizchi, M. Imani, M. Nikdast, A. Roohi, R. Zand, and Sh. Angizi*, “Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing,” 61st Design Automation Conference (DAC), San Francisco, CA, USA, July 23-27, 2024.
- S. Tabrizchi, Sh. Angizi, and A. Roohi*, “DIAC: Design Exploration of Intermittent-Aware Com- puting Realizing Batteryless Systems,” 44th Design, Automation and Test in Europe Conference (DATE), Valencia, Spain, 25 – 27 March 2024.
- M. Morsali, S. Tabrizchi, D. Najafi, M. Imani, M. Nikdast, A. Roohi, Sh. Angizi*, “OISA: Archi- tecting an Optical In-Sensor Accelerator for Efficient Visual Computing,” 44th Design, Automation and Test in Europe Conference (DATE), Valencia, Spain, 25 – 27 March 2024.
- R. Zhou, S. Ahmed, A. Roohi, A. Rakin, and Sh. Angizi*, “DRAM-Locker: A General-Purpose DRAM Protection Mechanism against Adversarial DNN Weight Attacks,” 44th Design, Automation and Test in Europe Conference (DATE), Valencia, Spain, 25 – 27 March 2024.
- M. Morsali, S. Tabrizchi, M. Liehr, N. Cady, M. Imani, A. Roohi, and Sh. Angizi*, “Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator,” IEEE International Conference on Rebooting Computing (ICRC), December 5-6, 2023.
- R. Gaire, S. Tabrizchi, and A. Roohi*, “EnCoDe: Enhancing Compressed Deep Learning Models through Feature Distillation and Informative Sample Selection,” IEEE 22nd International Conference on Machine Learning and Applications (ICMLA), December 15-17, 2023.
- S. Tabrizchi, Sh. Angizi, and A. Roohi*, “Ocellus: Highly Parallel Convolution-in-Pixel Scheme Realizing Power-Delay-Efficient Edge Intelligence,” ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), August 7-8, 2023. (Best Paper Candidate)
- D. Vungarala, M. Morsali, S. Tabrizchi, A. Roohi, and Sh. Angizi*, “Comparative Study of Low Bit-width DNN Accelerators: Opportunities and Challenges,” IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS), August 6-9, 2023.
- S. Tabrizchi, R. Gaire, Sh. Angizi, and A. Roohi*, “SenTer: A Reconfigurable Processing-in- Sensor Architecture Enabling Efficient Ternary MLP,” 33rd ACM Great Lakes Symposium on VLSI (GLSVLSI 2023), June 5-7, 2023.
- S. Tabrizchi, M. Morsali, Sh. Angizi, and A. Roohi*, “NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors,” 24th IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, California, May 21-25, 2023.
- M. Morsali, R. Zhou, S. Tabrizchi, A. Roohi*, and Sh. Angizi*, “XOR-CiM: An Efficient Computing- in-SOT-MRAM Design for Binary Neural Network Acceleration,” 24th IEEE International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, April 5-7, 2023.
- R. Zhou, S. Tabrizchi, A. Roohi, and Sh. Angizi*, “P-PIM: A Parallel Processing-in-DRAM Framework Enabling RowHammer Protection,” 43rd Design, Automation and Test in Europe Conference (DATE), Antwerp, BE, 2023.
- A. Minhaz, A. Roohi*, N. Cady, and Sh. Angizi*, “A Processing-in-Pixel Accelerator based on Multi-level HfOx ReRAM,” International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (ESWEEK CASES), 2022.
- S. Tabrizchi, Sh. Angizi, and A. Roohi*, “TizBin: A Low-Power Image Sensor with Event and Object Detection Using Efficient Processing-in-Pixel Schemes,” 40th IEEE International Conference on Computer Design (ICCD), Lake Tahoe, USA, 2022.
- R. Zhou, S. Tabrizchi, A. Roohi*, and Sh. Angizi*, “ReD-LUT: Reconfigurable In-DRAM LUTs Enabling Massive Parallel Computation,” 41st IEEE/ACM International Conference on Computer- Aided Design (ICCAD), San Diego, California, USA, 2022.
- A. Nezhadi, Sh. Angizi, and A. Roohi*, “semiMul: Floating-Point Free Implementations for Efficient and Accurate Neural Network Training,” 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022.
- S. Tabrizchi, Sh. Angizi, and A. Roohi*, “Design and Evaluation of a Robust Power-Efficient Ternary SRAM Cell,” IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 1-4. IEEE, 2022.
- M. Alali, A. Roohi, J. S. Deogun*, “Enabling efficient training of convolutional neural networks for histopathology images,” International Conference on Image Analysis and Processing, pp. 533-544. Springer, Cham, 2022.
- R. Zhou, A. Roohi, D. Misra, and Sh. Angizi*, “FlexiDRAM: A Flexible in-DRAM Framework to Enable Parallel General-Purpose Computation,” ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), Boston, USA, 2022.
- A. Roohi*, and Sh. Angizi, “Efficient Targeted Bit-Flip Attack Against the Local Binary Pattern Network,” IEEE International Symposium on Hardware Oriented Security and Trust (HOST), Washington DC, USA, 2022.
- S. Tabrizchi, Sh. Angizi, and A. Roohi*, “SCiMA: a Generic Single-Cycle Compute-in-Memory Acceleration Scheme for Matrix Computations,” 23rd IEEE International Symposium on Circuits and Systems (ISCAS), Austin, TX, May 28- June 1, 2022.
- A. Nezhadi, Sh. Angizi, and A. Roohi*, “EaseMiss: HW/SW Co-Optimization for Efficient Large Matrix-Matrix Multiply Operations,” 15th IEEE Dallas Circuit And System Conference (DCAS), pp. 1-6. IEEE, 2022.
- Sh. Angizi*, and A. Roohi*, “Integrated Sensing and Computing using Energy-Efficient Magnetic Synapses,” 23rd IEEE International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, April 6-8, 2022.
- A. Roohi*, Sh. Angizi, P. Navaeilavasani, and M. Taheri, “ReFACE: Efficient Design Methodology for Acceleration of Digital Filter Implementations,” 23rd IEEE International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, April 6-8, 2022.
- A. Roohi*, M. Taheri, Sh. Angizi, D. Fan, “RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems,” 40th International Conference On Computer-Aided Design (ICCAD), 2021, pp. 1-9
- Sh. Angizi*, A. Roohi*, M. Taheri, D. Fan, “Processing-in-Memory Acceleration of MAC-based Applications Using Residue Number System: A Comparative Study,” 31st ACM Great Lakes Symposium on VLSI (GLSVLSI 2021), June 22-25, 2021.
- N. Khoshavi, S. Sargolzaei, Y. Bi, A. Roohi*, “Entropy-Based Modeling for Estimating Adversarial Bit-flip Attack Impact on Binarized Neural Network,” 26th Asia and South Pacific Design Automation Conference (ASP-DAC), Jan.18-21, 2021.
- A. Roohi*, “Normally-Off Computing Design Methodology Using Spintronics: From Devices to Architectures,” International Green and Sustainable Computing Conference, October 19-22, 2020
- N. Khoshavi*, C. Broyles, Y. Bi, A. Roohi, “Fiji-FIN: A Fault Injection Framework on Quantized Neural Network Inference Accelerator,” IEEE International Conference on Machine Learning and Applications (ICMLA), October 19-22, 2020.
- N. Khoshavi*, A. Roohi, Y. Bi, “Hardware-assisted Black-box Adversarial Attack Evaluation Framework on Binarized Neural Network,” 41st IEEE Symposium on Security and Privacy, Short Talks, URL: https://www.ieee-security.org/TC/SP2020/program-shorttalks.html, 2020.
- N. Khoshavi*, A. Roohi*, C. Broyles, S. Sargolzaei, Y. Bi, D. Z. Pan, “SHIELDeNN: Online Accel- erated Framework for Fault-Tolerant Deep Neural Network Architectures,” 57th Design Automation Conference (DAC), San Francisco, CA, USA, July 19-23, 2020.
- N. Khoshavi*, A. Roohi, S. Sargolzaei, C. Broyles, and Y. Bi, “Entropy-Based Modeling for Esti- mating Soft Errors Impact on Binarized Neural Network Inference,” arXiv preprint arXiv:2004.05089 2020.
- A. Roohi*, and R. F. DeMara, “IRC: Cross-layer design exploration of Intermittent Robust Computation units for IoTs,” IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Miami, Florida, U.S.A., July 15-17, 2019.
- A. Roohi*, Sh. Angizi, D. Fan, and R. F. DeMara, “Processing-In-Memory Acceleration of Convo- lutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience,” 20th IEEE International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, March 6-7, 2019. (Best Paper Candidate)
- A. Roohi*, R. Zand, and R. F. DeMara, “Logic-Encrypted Synthesis for Energy-Harvesting-Powered Spintronic-Embedded Datapath Design,” 28th ACM Great Lakes Symposium on VLSI (GLSVLSI 2018), Chicago, Illinois, USA, May 23-25, 2018. (Best Paper Candidate)
- A. Roohi*, R. Zand, and R. F. DeMara, “Synthesis of Normally-Off Boolean Circuits: An Evolu- tionary Optimization Approach Utilizing Spintronic Devices,” The 19th International Symposium on Quality Electronic Design, Santa Clara, CA, USA, ISQED 2018. (Best Paper Candidate)
- R. F. DeMara*, A. Roohi, R. Zand, and S. D. Pyle, “Heterogeneous Technology Configurable Fabrics for Field Programmable Co-design of CMOS and Spin-based Devices,” in Proceedings of IEEE International Conference on Rebooting Computing (ICRC-2017), Washington, DC, USA, November 8 – 9, 2017.
- A. Roohi*, L. Wang, S. Kose, and R. F. DeMara, “Secure Intermittent-Robust Computation for Energy Harvesting Device Security and Outage Resilience,” The 14th IEEE International Conference on Advanced and Trusted Computing, San Francisco, CA, USA, ATC 2017.
- A.M.Chabi, A. Roohi, H. Khademolhosseini, Sh. Angizi, R. F. DeMara, and K. Navi*, “Cost- Efficient QCA Reversible Combinational Circuits Based on a New Reversible Gate,” The 18th CSI Symposium on Computer Architecture & Digital Systems, Tehran, Iran, CADS 2015 (Best Paper Candidate).
- R. A. Ashraf, A. Al-Zahrani, N. Khoshavi, R. Zand, S. Salehi, A. Roohi, M. Lin, and R. F. DeMara*, “Reactive Rejuvenation of CMOS Logic Paths using Self-Activating Voltage Domains,” IEEE International Symposium on Circuits and Systems, Lisbon, Portugal, ISCAS 2015.
- A. Roohi*, R. F. DeMara, and N. Khoshavi, “Dual Computational Layer Based Logic Design for QCA Circuits,” 52nd Design Automation Conference (DAC), Work-in-Progress Session, San Francisco, CA, USA, DAC-WIP 2015.
- S. Sayedsalehi*, and A. Roohi, “Modeling an Improved Modified Type in Metallic Quantum-dot Fixed Cell for Nano Structure Implementation,” 23rd Euromicro International Conference on Parallel, Distributed and Network-based Processing, Turku, Finland, PDP 2015.
- S. Sayedsalehi*, A. Roohi, H. Khademolhosseini, and M. Kamrani, “Design of Nanoelectronic Circuits Using an Efficient Reversible Gate,” 9th International Nanotechnology Symposium, Dresden, Germany, Nanofair 2012.
- A. Roohi*, H. Khademolhosseini, S. Sayedsalehi, and K. Navi, ‘‘Implementation of Reversible Logic Design in Nanoelectronics on Basis of Majority Gates,” The 16th CSI Symposium on Computer Architecture & Digital Systems, Shiraz, Iran, CADS 2012.
- A. Roohi*, M. Kamrani, S. Sayedsalehi, and K. Navi, ‘‘A Combinational Logic Optimization for Majority Gate-Based Nanoelectronic Circuits Based on GA,” International Semiconductor Device Research Symposium, The University of Maryland, USA, ISDRS 2011.
- H. Khademolhosseini and A. Roohi*, ‘‘A New Redundant Method on Representing Numbers with Moduli Set {3n, 3n − 1, 3n − 2 ” Computer, Communication and Electrical Technology (ICCCET 2011), IEEE International Conference on, pp. 163-166, 2011.