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Arman Roohi
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2020 – today
- 2024
- [j18]Arman Roohi
, Sepehr Tabrizchi, Mehrdad Morsali, David Z. Pan
PiPSim: A Behavior-Level Modeling Tool for CNN Processing-in-Pixel Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(1): 141-150 (2024) - [j17]Shaahin Angizi
A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks. IEEE Trans. Emerg. Top. Comput. 12(1): 73-83 (2024) - [c46]Mehrdad Morsali
Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. DAC 2024: 115:1-115:6 - [c45]Brendan Reidy
HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. DAC 2024: 275:1-275:6 - [c44]Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi:
OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. DATE 2024: 1-6 - [c43]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems. DATE 2024: 1-6 - [c42]Ranyang Zhou, Sabbir Ahmed, Arman Roohi, Adnan Siraj Rakin, Shaahin Angizi:
DRAM-Locker: A General-Purpose DRAM Protection Mechanism Against Adversarial DNN Weight Attacks. DATE 2024: 1-6 - [c41]Sepehr Tabrizchi
RACSen: Residue Arithmetic and Chaotic Processing in Sensors to Enhance CMOS Imager Security. ACM Great Lakes Symposium on VLSI 2024: 551-555 - [c40]Deniz Najafi
Hybrid Magneto-electric FET-CMOS Integrated Memory Design for Instant-on Computing. ACM Great Lakes Symposium on VLSI 2024: 770-775 - [c39]Sepehr Tabrizchi, Nedasadat Taheri, Justin Feng, Nader Sehatbakhsh, David Z. Pan, Arman Roohi:
SRC: Sustainable Reactive Computing for Battery-free Edge Intelligence. IGSC 2024: 93-98 - [c38]Mehrdad Morsali, Sepehr Tabrizchi, Ravi Teja Velpula, Mano Bala Sankar Muthu, Hieu Pham Trung Nguyen, Mohsen Imani, Arman Roohi, Shaahin Angizi:
Energy-Efficient Near-Sensor Event Detector Based on Multilevel Ga2O3 RRAM. ISVLSI 2024: 331-336 - [c37]Nedasadat Taheri, Sepehr Tabrizchi, Deniz Najafi, Shaahin Angizi, Arman Roohi:
ResSen: Imager Privacy Enhancement Through Residue Arithmetic Processing in Sensors. ISVLSI 2024: 349-354 - [c36]Rebati Raman Gaire, Sepehr Tabrizchi, Arman Roohi:
Resource-Efficient Adaptive-Network Inference Framework with Knowledge Distillation-Based Unified Learning. ISVLSI 2024: 508-513 - [c35]Rebati Raman Gaire, Sepehr Tabrizchi, Deniz Najafi, Shaahin Angizi, Arman Roohi:
DECO: Dynamic Energy-aware Compression and Optimization for In-Memory Neural Networks. MWSCAS 2024: 1441-1445 - [i12]Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi:
Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. CoRR abs/2403.05037 (2024) - [i11]Brendan Reidy, Sepehr Tabrizchi, Mohamadreza Mohammadi, Shaahin Angizi, Arman Roohi, Ramtin Zand:
HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. CoRR abs/2408.03956 (2024) - 2023
- [j16]Sepehr Tabrizchi
AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 225-236 (2023) - [j15]Fereshteh Karimi, Reza Faghih Mirzaee
Design and evaluation of ultra-fast 8-bit approximate multipliers using novel multicolumn inexact compressors. Int. J. Circuit Theory Appl. 51(7): 3454-3479 (2023) - [j14]Shaahin Angizi
PISA: A Non-Volatile Processing-in-Sensor Accelerator for Imaging Systems. IEEE Trans. Emerg. Top. Comput. 11(4): 962-972 (2023) - [c34]Ranyang Zhou, Sepehr Tabrizchi, Mehrdad Morsali, Arman Roohi, Shaahin Angizi:
P-PIM: A Parallel Processing-in-DRAM Framework Enabling Row Hammer Protection. DATE 2023: 1-6 - [c33]Sepehr Tabrizchi
SenTer: A Reconfigurable Processing-in-Sensor Architecture Enabling Efficient Ternary MLP. ACM Great Lakes Symposium on VLSI 2023: 497-502 - [c32]Rebati Raman Gaire, Sepehr Tabrizchi, Arman Roohi:
EnCoDe: Enhancing Compressed Deep Learning Models Through Feature - - - Distillation and Informative Sample Selection. ICMLA 2023: 633-638 - [c31]Mehrdad Morsali, Sepehr Tabrizchi, Maximilian Liehr, Nathaniel C. Cady
Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator. ICRC 2023: 1-5 - [c30]Sepehr Tabrizchi, Mehrdad Morsali, Shaahin Angizi, Arman Roohi:
NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors. ISCAS 2023: 1-4 - [c29]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
Ocellus: Highly Parallel Convolution-in-Pixel Scheme Realizing Power-Delay-Efficient Edge Intelligence. ISLPED 2023: 1-6 - [c28]Mehrdad Morsali, Ranyang Zhou, Sepehr Tabrizchi, Arman Roohi, Shaahin Angizi:
XOR-CiM: An Efficient Computing-in-SOT-MRAM Design for Binary Neural Network Acceleration. ISQED 2023: 1-5 - [c27]Deepak Vungarala, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi, Shaahin Angizi:
Comparative Study of Low Bit-width DNN Accelerators: Opportunities and Challenges. MWSCAS 2023: 797-800 - [i10]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems. CoRR abs/2311.16406 (2023) - [i9]Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi:
OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. CoRR abs/2311.18655 (2023) - [i8]Deniz Najafi, Mehrdad Morsali, Ranyang Zhou, Arman Roohi, Andrew Marshall, Durga Misra, Shaahin Angizi:
Enabling Normally-off In-Situ Computing with a Magneto-Electric FET-based SRAM Design. CoRR abs/2312.05212 (2023) - [i7]Ranyang Zhou, Sabbir Ahmed, Arman Roohi, Adnan Siraj Rakin, Shaahin Angizi:
DRAM-Locker: A General-Purpose DRAM Protection Mechanism against Adversarial DNN Weight Attacks. CoRR abs/2312.09027 (2023) - 2022
- [j13]Ranyang Zhou, Sepehr Tabrizchi, Arman Roohi
LT-PIM: An LUT-Based Processing-in-DRAM Architecture With RowHammer Self-Tracking. IEEE Comput. Archit. Lett. 21(2): 141-144 (2022) - [j12]Navid Khoshavi, Mohammad Maghsoudloo
HARDeNN: Hardware-assisted attack-resilient deep neural network architectures. Microprocess. Microsystems 95: 104710 (2022) - [c26]Minhaz Abedin, Arman Roohi, Nathaniel C. Cady
Work-in-Progress: A Processing-in-Pixel Accelerator based on Multi-level HfOx ReRAM. CASES 2022: 37-38 - [c25]Emily Lattanzio, Ranyang Zhou, Arman Roohi, Abdallah Khreishah, Durga Misra, Shaahin Angizi:
Toward a Behavioral-Level End-to-End Framework for Silicon Photonics Accelerators. IGSC 2022: 1-6 - [c24]Arman Roohi, Shaahin Angizi:
Efficient Targeted Bit-Flip Attack Against the Local Binary Pattern Network. HOST 2022: 89-92 - [c23]Ranyang Zhou, Arman Roohi, Durga Misra, Shaahin Angizi:
ReD-LUT: Reconfigurable In-DRAM LUTs Enabling Massive Parallel Computation. ICCAD 2022: 77:1-77:8 - [c22]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
TizBin: A Low-Power Image Sensor with Event and Object Detection Using Efficient Processing-in-Pixel Schemes. ICCD 2022: 770-777 - [c21]Mohammed H. Alali
Enabling Efficient Training of Convolutional Neural Networks for Histopathology Images. ICIAP Workshops (1) 2022: 533-544 - [c20]Ali Nezhadi
semiMul: Floating-Point Free Implementations for Efficient and Accurate Neural Network Training. ICMLA 2022: 837-842 - [c19]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
SCiMA: A Generic Single-Cycle Compute-in-Memory Acceleration Scheme for Matrix Computations. ISCAS 2022: 576-580 - [c18]Ranyang Zhou, Arman Roohi, Durga Misra, Shaahin Angizi:
FlexiDRAM: A Flexible in-DRAM Framework to Enable Parallel General-Purpose Computation. ISLPED 2022: 7:1-7:6 - [c17]Shaahin Angizi, Arman Roohi:
Integrated Sensing and Computing using Energy-Efficient Magnetic Synapses. ISQED 2022: 1-4 - [c16]Arman Roohi, Shaahin Angizi, Pooriya Navaeilavasani, MohammadReza Taheri:
ReFACE: Efficient Design Methodology for Acceleration of Digital Filter Implementations. ISQED 2022: 1-6 - [c15]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
Design and Evaluation of a Robust Power-Efficient Ternary SRAM Cell. MWSCAS 2022: 1-4 - [i6]Shaahin Angizi, Sepehr Tabrizchi, Arman Roohi:
PISA: A Binary-Weight Processing-In-Sensor Accelerator for Edge Image Processing. CoRR abs/2202.09035 (2022) - [i5]Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi:
A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks. CoRR abs/2210.06698 (2022) - 2021
- [c14]Navid Khoshavi, Saman Sargolzaei, Yu Bi, Arman Roohi:
Entropy-Based Modeling for Estimating Adversarial Bit-flip Attack Impact on Binarized Neural Network. ASP-DAC 2021: 493-498 - [c13]Shaahin Angizi, Arman Roohi, MohammadReza Taheri, Deliang Fan:
Processing-in-Memory Acceleration of MAC-based Applications Using Residue Number System: A Comparative Study. ACM Great Lakes Symposium on VLSI 2021: 265-270 - [c12]Arman Roohi, MohammadReza Taheri, Shaahin Angizi, Deliang Fan:
RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems. ICCAD 2021: 1-9 - [i4]Fereshteh Karimi, Reza Faghih Mirzaee, Ali Fakeri-Tabrizi, Arman Roohi:
Ultra-Fast, High-Performance 8x8 Approximate Multipliers by a New Multicolumn 3, 3: 2 Inexact Compressor and its Derivatives. CoRR abs/2107.11881 (2021) - 2020
- [j11]Arman Roohi
ApGAN: Approximate GAN for Robust Low Energy Learning From Imprecise Components. IEEE Trans. Computers 69(3): 349-360 (2020) - [c11]Navid Khoshavi, Arman Roohi, Connor Broyles, Saman Sargolzaei, Yu Bi, David Z. Pan:
SHIELDeNN: Online Accelerated Framework for Fault-Tolerant Deep Neural Network Architectures. DAC 2020: 1-6 - [c10]Arman Roohi:
Normally-off computing design methodology using spintronics: from device to architectures. IGSC (Workshops) 2020: 1-4 - [c9]Navid Khoshavi, Connor Broyles, Yu Bi, Arman Roohi:
Fiji-FIN: A Fault Injection Framework on Quantized Neural Network Inference Accelerator. ICMLA 2020: 1139-1144 - [i3]Navid Khoshavi, Saman Sargolzaei, Arman Roohi, Connor Broyles, Yu Bi:
Entropy-Based Modeling for Estimating Soft Errors Impact on Binarized Neural Network Inference. CoRR abs/2004.05089 (2020)
2010 – 2019
- 2019
- [c8]Arman Roohi, Shaahin Angizi, Deliang Fan, Ronald F. DeMara
Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Effciency, and Power-Intermittency Resilience. ISQED 2019: 8-13 - [c7]Arman Roohi, Ronald F. DeMara:
IRC Cross-Layer Design Exploration of Intermittent Robust Computation Units for IoTs. ISVLSI 2019: 354-359 - [i2]Arman Roohi, Shaahin Angizi, Deliang Fan, Ronald F. DeMara:
Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience. CoRR abs/1904.07864 (2019) - [i1]Arman Roohi, Ronald F. DeMara:
IRC: Cross-layer design exploration of Intermittent Robust Computation units for IoTs. CoRR abs/1904.10564 (2019) - 2018
- [j10]Arman Roohi
NV-Clustering: Normally-Off Computing Using Non-Volatile Datapaths. IEEE Trans. Computers 67(7): 949-959 (2018) - [j9]Arman Roohi
A Parity-Preserving Reversible QCA Gate with Self-Checking Cascadable Resiliency. IEEE Trans. Emerg. Top. Comput. 6(4): 450-459 (2018) - [c6]Arman Roohi, Ramtin Zand
Logic-Encrypted Synthesis for Energy-Harvesting-Powered Spintronic-Embedded Datapath Design. ACM Great Lakes Symposium on VLSI 2018: 9-14 - [c5]Arman Roohi, Ramtin Zand
Synthesis of normally-off boolean circuits: An evolutionary optimization approach utilizing spintronic devices. ISQED 2018: 49-54 - 2017
- [j8]Mohan Krishna Gopi Krishna, Arman Roohi, Ramtin Zand
Heterogeneous energy-sparing reconfigurable logic: spin-based storage and CNFET-based multiplexing. IET Circuits Devices Syst. 11(3): 274-279 (2017) - [j7]Amir Mokhtar Chabi, Arman Roohi, Hossein Khademolhosseini
Towards ultra-efficient QCA reversible circuits. Microprocess. Microsystems 49: 127-138 (2017) - [j6]Arman Roohi
Voltage-Based Concatenatable Full Adder Using Spin Hall Effect Switching. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(12): 2134-2138 (2017) - [j5]Ramtin Zand
Energy-Efficient and Process-Variation-Resilient Write Circuit Schemes for Spin Hall Effect MRAM Device. IEEE Trans. Very Large Scale Integr. Syst. 25(9): 2394-2401 (2017) - [c4]Ronald F. DeMara
Heterogeneous Technology Configurable Fabrics for Field-Programmable Co-Design of CMOS and Spin-Based Devices. ICRC 2017: 1-4 - [c3]Arman Roohi, Ronald F. DeMara
Secure intermittent-robust computation for energy harvesting device security and outage resilience. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-5 - 2016
- [j4]Hesam Shabani, Arman Roohi, Akram Reza
Loss-Aware Switch Design and Non-Blocking Detection Algorithm for Intra-Chip Scale Photonic Interconnection Networks. IEEE Trans. Computers 65(6): 1789-1801 (2016) - [j3]Ramtin Zand
Scalable Adaptive Spintronic Reconfigurable Logic Using Area-Matched MTJ Design. IEEE Trans. Circuits Syst. II Express Briefs 63-II(7): 678-682 (2016) - 2015
- [j2]Shaahin Angizi
Design and Verification of New n-Bit Quantum-Dot Synchronous Counters Using Majority Function-Based JK Flip-Flops. J. Circuits Syst. Comput. 24(10): 1550153:1-1550153:17 (2015) - [j1]Arman Roohi
Design and evaluation of an ultra-area-efficient fault-tolerant QCA full adder. Microelectron. J. 46(6): 531-542 (2015) - [c2]Rizwan A. Ashraf
Reactive rejuvenation of CMOS logic paths using self-activating voltage domains. ISCAS 2015: 2944-2947 - [c1]Samira Sayedsalehi
Modeling an Improved Modified Type in Metallic Quantum-Dot Fixed Cell for Nano Structure Implementation. PDP 2015: 412-415
Coauthor Index
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last updated on 2024-12-13 20:08 CET by the dblp team
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