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ORCIDSepehr Tabrizchi
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2020 – today
- 2024
[j14]Arman Roohi
, Sepehr Tabrizchi, Mehrdad Morsali, David Z. Pan, Shaahin Angizi:
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)- [j13]Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi:
A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks. IEEE Trans. Emerg. Top. Comput. 12(1): 73-83 (2024) - [c21]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. DAC 2024: 115:1-115:6 - [c20]Brendan Reidy, Sepehr Tabrizchi, Mohammadreza Mohammadi, Shaahin Angizi, Arman Roohi, Ramtin Zand:
HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. DAC 2024: 275:1-275:6 - [c19]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 - [c18]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems. DATE 2024: 1-6 - [c17]Sepehr Tabrizchi, Nedasadat Taheri, Shaahin Angizi, Arman Roohi:
RACSen: Residue Arithmetic and Chaotic Processing in Sensors to Enhance CMOS Imager Security. ACM Great Lakes Symposium on VLSI 2024: 551-555 - [c16]Deniz Najafi, Sepehr Tabrizchi, Ranyang Zhou, Mohammadreza Amel Solouki, Andrew Marshall, Arman Roohi, Shaahin Angizi:
Hybrid Magneto-electric FET-CMOS Integrated Memory Design for Instant-on Computing. ACM Great Lakes Symposium on VLSI 2024: 770-775 - [c15]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 - [c14]Nedasadat Taheri, Sepehr Tabrizchi, Deniz Najafi, Shaahin Angizi, Arman Roohi:
ResSen: Imager Privacy Enhancement Through Residue Arithmetic Processing in Sensors. ISVLSI 2024: 349-354 - [c13]Rebati Raman Gaire, Sepehr Tabrizchi, Arman Roohi:
Resource-Efficient Adaptive-Network Inference Framework with Knowledge Distillation-Based Unified Learning. ISVLSI 2024: 508-513 - [c12]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 - [i7]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) - [i6]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
- [j12]Sepehr Tabrizchi, Ali Nezhadi, Shaahin Angizi, Arman Roohi:
AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 225-236 (2023) - [j11]Shaahin Angizi, Sepehr Tabrizchi, David Z. Pan, Arman Roohi:
PISA: A Non-Volatile Processing-in-Sensor Accelerator for Imaging Systems. IEEE Trans. Emerg. Top. Comput. 11(4): 962-972 (2023) - [c11]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 - [c10]Sepehr Tabrizchi, Rebati Raman Gaire, Shaahin Angizi, Arman Roohi:
SenTer: A Reconfigurable Processing-in-Sensor Architecture Enabling Efficient Ternary MLP. ACM Great Lakes Symposium on VLSI 2023: 497-502 - [c9]Rebati Raman Gaire, Sepehr Tabrizchi, Arman Roohi:
EnCoDe: Enhancing Compressed Deep Learning Models Through Feature - - - Distillation and Informative Sample Selection. ICMLA 2023: 633-638 - [c8]Mehrdad Morsali, Sepehr Tabrizchi, Maximilian Liehr, Nathaniel C. Cady, Mohsen Imani, Arman Roohi, Shaahin Angizi:
Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator. ICRC 2023: 1-5 - [c7]Sepehr Tabrizchi, Mehrdad Morsali, Shaahin Angizi, Arman Roohi:
NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors. ISCAS 2023: 1-4 - [c6]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
Ocellus: Highly Parallel Convolution-in-Pixel Scheme Realizing Power-Delay-Efficient Edge Intelligence. ISLPED 2023: 1-6 - [c5]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 - [c4]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 - [i5]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems. CoRR abs/2311.16406 (2023) - [i4]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) - 2022
- [j10]Ranyang Zhou, Sepehr Tabrizchi, Arman Roohi, Shaahin Angizi:
LT-PIM: An LUT-Based Processing-in-DRAM Architecture With RowHammer Self-Tracking. IEEE Comput. Archit. Lett. 21(2): 141-144 (2022) - [c3]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 - [c2]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
SCiMA: A Generic Single-Cycle Compute-in-Memory Acceleration Scheme for Matrix Computations. ISCAS 2022: 576-580 - [c1]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
Design and Evaluation of a Robust Power-Efficient Ternary SRAM Cell. MWSCAS 2022: 1-4 - [i3]Shaahin Angizi, Sepehr Tabrizchi, Arman Roohi:
PISA: A Binary-Weight Processing-In-Sensor Accelerator for Edge Image Processing. CoRR abs/2202.09035 (2022) - [i2]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
- [j9]Sepehr Tabrizchi, Fazel Sharifi, Parisa Dehghani:
Energy-Efficient and PVT-Tolerant CNFET-Based Ternary Full Adder Cell. Circuits Syst. Signal Process. 40(7): 3523-3535 (2021) - 2020
- [j8]Seyede Fateme Kamali, Sepehr Tabrizchi, Somaye Mohammadyan, Morteza Rastgoo, Keivan Navi:
Designing positive, negative and standard gates for ternary logics using quantum dot cellular automata. Comput. Electr. Eng. 83: 106590 (2020) - [j7]Sepehr Tabrizchi, Reza Akbar, Farshad Safaei:
A novel method for reduction partial product tree in ternary multiplier. Microelectron. J. 100: 104778 (2020)
2010 – 2019
- 2019
- [j6]Samane Firouzi, Sepehr Tabrizchi, Fazel Sharifi, Abdel-Hameed A. Badawy:
High performance, variation-tolerant CNFET ternary full adder a process, voltage, and temperature variation-resilient design. Comput. Electr. Eng. 77: 205-216 (2019) - [j5]Sepehr Tabrizchi, MohammadReza Taheri, Keivan Navi, Nader Bagherzadeh:
Novel CNFET ternary circuit techniques for high-performance and energy-efficient design. IET Circuits Devices Syst. 13(2): 193-202 (2019) - [j4]Farshad Safaei, Sepehr Tabrizchi, Amir H. Hadian-Rasanan, Marzieh Zare:
An energy-based heterogeneity measure for quantifying structural irregularity in complex networks. J. Comput. Sci. 36 (2019) - 2018
- [i1]Sepehr Tabrizchi, Fazel Sharifi, Abdel-Hameed A. Badawy:
Energy Efficient Tri-State CNFET Ternary Logic Gates. CoRR abs/1806.07570 (2018) - 2017
- [j3]Sepehr Tabrizchi, Atiyeh Panahi, Fazel Sharifi, Keivan Navi, Nader Bagherzadeh:
Method for designing ternary adder cells based on CNFETs. IET Circuits Devices Syst. 11(5): 465-470 (2017) - [j2]Sepehr Tabrizchi, Nooshin Azimi, Keivan Navi:
A novel ternary half adder and multiplier based on carbon nanotube field effect transistors. Frontiers Inf. Technol. Electron. Eng. 18(3): 423-433 (2017) - 2016
- [j1]Sepehr Tabrizchi, Hojjat Sharifi, Fazel Sharifi, Keivan Navi:
A Novel Design Approach for Ternary Compressor Cells Based on CNTFETs. Circuits Syst. Signal Process. 35(9): 3310-3322 (2016)
Coauthor Index
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last updated on 2024-11-13 23:50 CET by the dblp team
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