Award Abstract # 2216772
Collaborative Research: Integrated Sensing and Normally-off Computing for Edge Imaging Systems
NSF Org: |
ECCS
Division of Electrical, Communications and Cyber Systems
|
Recipient: |
NEW JERSEY INSTITUTE OF TECHNOLOGY
|
Initial Amendment Date:
|
September 6, 2022 |
Latest Amendment Date:
|
September 6, 2022 |
Award Number: |
2216772 |
Award Instrument: |
Standard Grant |
Program Manager: |
Ale Lukaszew
rlukasze@nsf.gov
(703)292-8103
ECCS
Division of Electrical, Communications and Cyber Systems
ENG
Directorate for Engineering
|
Start Date: |
August 1, 2022 |
End Date: |
July 31, 2026 (Estimated) |
Total Intended Award
Amount: |
$279,334.00 |
Total Awarded Amount to
Date: |
$279,334.00 |
Funds Obligated to Date:
|
FY 2022 = $279,334.00
|
History of Investigator:
|
-
Shaahin
Angizi
(Principal Investigator)
shaahin.angizi@njit.edu
|
Recipient Sponsored Research
Office: |
New Jersey Institute of Technology
323 DR MARTIN LUTHER KING JR BLVD
NEWARK
NJ
US
07102-1824
(973)596-5275
|
Sponsor Congressional
District: |
10
|
Primary Place of
Performance: |
New Jersey Institute of Technology
University Heights
Newark
NJ
US
07102-1982
|
Primary Place of
Performance Congressional District: |
10
|
Unique Entity Identifier
(UEI): |
SGBMHQ7VXNH5
|
Parent UEI: |
|
NSF Program(s): |
CCSS-Comms Circuits & Sens Sys
|
Primary Program Source:
|
01002223DB NSF RESEARCH & RELATED ACTIVIT
|
Program Reference
Code(s): |
|
Program Element Code(s):
|
756400
|
Award Agency Code: |
4900
|
Fund Agency Code: |
4900
|
Assistance Listing
Number(s): |
47.041
|
ABSTRACT

Internet of Things (IoT) devices are projected to exceed $1000B by 2025, with a web of interconnection projected to comprise approximately 75+ billion IoT devices. The large number of IoTs consists of sensory imaging systems that enable massive data collection from the environment and people. However, considerable portions of the captured sensory data are redundant and unstructured. Data conversion of such large raw data, storing in volatile memories, transmission, and computation in on-/off-chip processors, impose high energy consumption, latency, and a memory bottleneck at the edge. Moreover, because renewing batteries for IoT devices is very costly and sometimes impracticable, energy harvesting devices with ambient energy sources and low maintenance have impacted a wide range of IoT applications such as wearable devices, smart cities, and the intelligent industry. This project explores and designs new high-speed, low-power, and normally-off computing architectures for resource-limited sensory nodes by exploiting cross-layer post-CMOS approaches to overcome these issues. Successful completion of this research will have benefits to a variety of critical application domains, including medical monitoring, industrial and/or environmental sensors. This project will make a strong effort on developing undergraduate and graduate course modules, propagating transportable and open-source models, and broadening STEM participation through publications/presentations at conferences for knowledge dissemination.
This project will follow two main research thrusts. Thrust 1 designs and analyzes a Processing-In-Sensor Unit (PISU) co-integrating always-on sensing and processing capabilities in conjunction with a Processing-Near-Sensor Unit (PNSU). The hybrid platform will feature real-time programmable granularity-configurable arithmetic operations to balance the accuracy, speed, and power-efficiency trade-offs under both continuous and energy-harvesting-powered imaging scenarios. This platform will enable resource-limited edge devices to locally perform data and compute-intensive applications such as machine learning tasks while consuming much less power than present state-of-the-art technology. The power profile of ambient energy sources imposes fundamental constraints on processing stability and duration. To achieve high sensing and computation parallelism under unstable power supply conditions, Intermittent-Robust Integrated Sensing Computation (IRISC) will be designed. During power failure, IRISC stores intermediate values in non-volatile spin-based devices, which will ensure uninterrupted operations. To meet the hardware constraints and mitigate the high write power of spin-based devices, they will be selectively and efficiently inserted within the datapaths through a novel NV-clustering methodology to create corresponding intermittent-robust IP cores that realize intermittent computation with lower power consumption while maintaining middleware coherence. This cross-layer devices-to-system research approach will be assessed by developing a comprehensive evaluation framework, a transportable energy-harvested computational workload suite, and FPGA-MRAM-based emulation platforms for IRISC.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 32)
(Showing: 1 - 32 of 32)
Morsali, Mehrdad and Tabrizchi, Sepehr and Marshall, Andrew and Roohi, Arman and Misra, Durga and Angizi, Shaahin
"Design and Evaluation of a Near-Sensor Magneto-Electric FET-Based Event Detector"
IEEE Transactions on Electron Devices
, v.70
, 2023
https://doi.org/10.1109/TED.2023.3296389
Citation
Details
Morsali, Mehrdad and Tabrizchi, Sepehr and Velpula, Ravi Teja and Sankar_Muthu, Mano Bala and Trung_Nguyen, Hieu Pham and Imani, Mohsen and Roohi, Arman and Angizi, Shaahin
"Energy-Efficient Near-Sensor Event Detector Based on Multilevel Ga 2 O 3 RRAM"
, 2024
https://doi.org/10.1109/ISVLSI61997.2024.00067
Citation
Details
Morsali, Mehrdad and Zhou, Ranyang and Tabrizchi, Sepehr and Roohi, Arman and Angizi, Shaahin
"XOR-CiM: An Efficient Computing-in-SOT-MRAM Design for Binary Neural Network Acceleration"
2023 24th International Symposium on Quality Electronic Design (ISQED)
, 2023
https://doi.org/10.1109/ISQED57927.2023.10129322
Citation
Details
Najafi, Deniz and Barkam, Hamza Errahmouni and Morsali, Mehrdad and Jeong, SungHeon and Das, Tamoghno and Roohi, Arman and Nikdast, Mahdi and Imani, Mohsen and Angizi, Shaahin
"Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate"
IEEE Transactions on Circuits and Systems for Artificial Intelligence
, 2025
https://doi.org/10.1109/TCASAI.2025.3537968
Citation
Details
Najafi, Deniz and Morsali, Mehrdad and Zhou, Ranyang and Roohi, Arman and Marshall, Andrew and Misra, Durga and Angizi, Shaahin
"Enabling Normally-Off In Situ Computing With a Magneto-Electric FET-Based SRAM Design"
IEEE Transactions on Electron Devices
, v.71
, 2024
https://doi.org/10.1109/TED.2024.3366172
Citation
Details
Najafi, Deniz and Tabrizchi, Sepehr and Zhou, Ranyang and Amel_Solouki, Mohammadreza and Marshal, Andrew and Roohi, Arman and Angizi, Shaahin
"Hybrid Magneto-electric FET-CMOS Integrated Memory Design for Instant-on Computing"
, 2024
https://doi.org/10.1145/3649476.3660361
Citation
Details
Reidy, Brendan and Tabrizchi, Sepehr and Mohammadi, Mohammadreza and Angizi, Shaahin and Roohi, Arman and Zand, Ramtin
"HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI"
, 2024
https://doi.org/10.1145/3649329.3656539
Citation
Details
Roohi, Arman and Tabrizchi, Sepehr and Morsali, Mehrdad and Pan, David Z. and Angizi, Shaahin
"PiPSim: A Behavior-Level Modeling Tool for CNN Processing-in-Pixel Accelerators"
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
, v.43
, 2024
https://doi.org/10.1109/TCAD.2023.3305574
Citation
Details
Tabrizchi, Sepehr and Angizi, Shaahin and Roohi, Arman
"Ocelli: Efficient Processing-in-Pixel Array Enabling Edge Inference of Ternary Neural Networks"
Journal of Low Power Electronics and Applications
, v.12
, 2022
https://doi.org/10.3390/jlpea12040057
Citation
Details
Tabrizchi, Sepehr and Angizi, Shaahin and Roohi, Arman
"TizBin: A Low-Power Image Sensor with Event and Object Detection Using Efficient Processing-in-Pixel Schemes"
2022 IEEE 40th International Conference on Computer Design (ICCD)
, 2022
https://doi.org/10.1109/ICCD56317.2022.00117
Citation
Details
Tabrizchi, Sepehr and Gaire, Rebati and Angizi, Shaahin and Roohi, Arman
"SenTer: A Reconfigurable Processing-in-Sensor Architecture Enabling Efficient Ternary MLP"
GLSVLSI '23: Proceedings of the Great Lakes Symposium on VLSI 2023
, 2023
https://doi.org/10.1145/3583781.3590225
Citation
Details
Tabrizchi, Sepehr and Gaire, Rebati and Morsali, Mehrdad and Liehr, Maximilian and Cady, Nathaniel and Angizi, Shaahin and Roohi, Arman
"APRIS: Approximate Processing ReRAM In-Sensor Architecture Enabling Artificial-Intelligence-Powered Edge"
IEEE Transactions on Emerging Topics in Computing
, 2024
https://doi.org/10.1109/TETC.2024.3480700
Citation
Details
Tabrizchi, Sepehr and Morsali, Mehrdad and Angizi, Shaahin and Roohi, Arman
"NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors"
, 2023
https://doi.org/10.1109/ISCAS46773.2023.10181329
Citation
Details
Tabrizchi, Sepehr and Morsali, Mehrdad and Pan, David and Angizi, Shaahin and Roohi, Arman
"PINSim: A Processing In- and Near-Sensor Simulator to Model Intelligent Vision Sensors"
IEEE Computer Architecture Letters
, v.24
, 2025
https://doi.org/10.1109/LCA.2024.3522777
Citation
Details
Tabrizchi, Sepehr and Nezhadi, Ali and Angizi, Shaahin and Roohi, Arman
"AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration"
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
, v.13
, 2023
https://doi.org/10.1109/JETCAS.2023.3242167
Citation
Details
Tabrizchi, Sepehr and Taheri, Nedasadat and Angizi, Shaahin and Roohi, Arman
"RACSen: Residue Arithmetic and Chaotic Processing in Sensors to Enhance CMOS Imager Security"
, 2024
https://doi.org/10.1145/3649476.3658791
Citation
Details
Taheri, Nedasadat and Tabrizchi, Sepehr and Angizi, Shaahin and Roohi, Arman
"ChaoSen: Security Enhancement of Image Sensor through in-Sensor Chaotic Computing"
, 2024
https://doi.org/10.1109/ICCD63220.2024.00012
Citation
Details
Taheri, Nedasadat and Tabrizchi, Sepehr and Najafi, Deniz and Angizi, Shaahin and Roohi, Arman
"ResSen: Imager Privacy Enhancement Through Residue Arithmetic Processing in Sensors"
, 2024
https://doi.org/10.1109/ISVLSI61997.2024.00070
Citation
Details
Vungarala, Deepak and Amin, Md Hasibul and Mercati, Pietro and Roohi, Arman and Zand, Ramtin and Angizi, Shaahin
"LLM-IMC: Automating Analog In-Memory Computing Architecture Generation with Large Language Models"
, 2025
https://doi.org/10.1109/FCCM62733.2025.00071
Citation
Details
Vungarala, Deepak and Morsali, Mehrdad and Tabrizchi, Sepehr and Roohi, Arman and Angizi, Shaahin
"Comparative Study of Low Bit-width DNN Accelerators: Opportunities and Challenges"
2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)
, 2023
https://doi.org/10.1109/MWSCAS57524.2023.10405996
Citation
Details
Zhou, Ranyang and Ahmed, Sabbir and Roohi, Arman and Rakin, Adnan Siraj and Angizi, Shaahin
"DRAM-Locker: A General-Purpose DRAM Protection Mechanism Against Adversarial DNN Weight Attacks"
, 2024
https://doi.org/10.23919/DATE58400.2024.10546892
Citation
Details
Zhou, Ranyang and Tabrizchi, Sepehr and Morsali, Mehrdad and Roohi, Arman and Angizi, Shaahin
"P-PIM: A Parallel Processing-in-DRAM Framework Enabling Row Hammer Protection"
2023 Design, Automation & Test in Europe Conference (DATE 2023)
, 2023
https://doi.org/10.23919/DATE56975.2023.10137204
Citation
Details
Zhou, Ranyang and Tabrizchi, Sepehr and Roohi, Arman and Angizi, Shaahin
"LT-PIM: An LUT-Based Processing-in-DRAM Architecture With RowHammer Self-Tracking"
IEEE Computer Architecture Letters
, v.21
, 2022
https://doi.org/10.1109/LCA.2022.3220084
Citation
Details
Abedin, Minhaz and Roohi, Arman and Liehr, Maximilian and Cady, Nathaniel and Angizi, Shaahin
"MR-PIPA: An Integrated Multilevel RRAM (HfO x )-Based Processing-In-Pixel Accelerator"
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
, v.8
, 2022
https://doi.org/10.1109/JXCDC.2022.3210509
Citation
Details
Angizi, Shaahin and Morsali, Mehrdad and Tabrizchi, Sepehr and Roohi, Arman
"A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks"
IEEE Transactions on Emerging Topics in Computing
, 2023
https://doi.org/10.1109/TETC.2023.3285493
Citation
Details
Angizi, Shaahin and Tabrizchi, Sepehr and Pan, David Z. and Roohi, Arman
"PISA: A Non-Volatile Processing-In-Sensor Accelerator for Imaging Systems"
IEEE Transactions on Emerging Topics in Computing
, 2023
https://doi.org/10.1109/TETC.2023.3292251
Citation
Details
Lattanzio, Emily and Zhou, Ranyang and Roohi, Arman and Khreishah, Abdallah and Misra, Durga and Angizi, Shaahin
"Toward a Behavioral-Level End-to-End Framework for Silicon Photonics Accelerators"
2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC)
, 2022
https://doi.org/10.1109/IGSC55832.2022.9969371
Citation
Details
Morsali, Mehrdad and Nazzal, Mahmoud and Khreishah, Abdallah and Angizi, Shaahin
"IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge"
GLSVLSI '23: Proceedings of the Great Lakes Symposium on VLSI 2023
, 2023
https://doi.org/10.1145/3583781.3590248
Citation
Details
Morsali, Mehrdad and Reidy, Brendan and Najafi, Deniz and Tabrizchi, Sepehr and Imani, Mohsen and Nikdast, Mahdi and Roohi, Arman and Zand, Ramtin and Angizi, Shaahin
"Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing"
, 2024
https://doi.org/10.1145/3649329.3656261
Citation
Details
(Showing: 1 - 10 of 32)
(Showing: 1 - 32 of 32)
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