Aatmesh Shrivastava
Associate Professor, Electrical and Computer Engineering
Contact
- aatmesh@ece.northeastern.edu
- 416 ISEC
360 Huntington Avenue
Boston, Massachusetts 02115
Office
- 617.373.2063
Related Links
Research Focus
Ultra-low Power Circuits and Systems, Analog Computing, Precision Circuits, Hardware Security
Education
- 2014 PhD in Electrical Engineering, University of Virginia, Charlottesville
- 2006 BS in Electronics and Communications Engineering, Birla Institute of Technology, India
Honors & Awards
Professional Affiliations
- Circuits and System Society
- Institute of Electrical and Electronics Engineers
- Solid-State Circuits Society
Research Overview
Ultra-low Power Circuits and Systems, Analog Computing, Precision Circuits, Hardware Security
Energy Efficient Circuits and Systems Group
The EECS group is led by Prof. Aatmesh Shrivastava, performing research focussed on self-powered and ultra-low power circuits and system for Internet-of-things (IoTs). We are currently working to solve the power issue, in order to make IoT devices easily deployable in our environment. We are also focussing on energy-harvesting and power-first system/computer architecture, ultra-low power bio-medical and neural circuits, exascale computing, and high-reliability circuits and system design.
Selected Research Projects
- RINGS: Internet of Things Resilience through Spectrum-Agile Circuits, Learning-Based Communications and Thermal Hardware Security
- – co-Principal Investigator, National Science Foundation
- An Ultra-low Power Analog Computing Hardware Design Framework for Machine Learning Inference in Edge Biomedical Devices
- – Principal Investigator, National Science Foundation
- Ultra-Low Power Analog Computing and Dry Skin Electrode Contact Interface Design Techniques for Systems-On-A-Chip with EEG Sensing and Feature Extraction
- – Principal Investigator, National Science Foundation
- Novel Implantable Smart Magnetoelectric NanoRFIDs for Large-Scale Neural Magnetic Recording and Modulation
- – Co-Principal Investigator, National Institutes of Health
- Radio Receiver Architecture and Building Blocks for Ultra Low Power Communications
- – Co-Principal Investigator, Interdigital
Department Research Areas
Selected Publications
- A. Mittal, N. Mirchandani, G. Michetti, L. Colombo, T. Haque, M. Rinaldi and A. Shrivastava, “A ±0.5dB, 6nW RSSI Circuit with RF Power-to-Digital Conversion Technique for Ultra-low Power IoT Radio Applications”, IEEE Transactions on Circuits and Systmes-I (TCAS-I): Regular Papers, 2022, doi: 10.1109/TCSI.2022.3181543
- Z. Xu, A. Khalifa, A. Mittal, M. Nasrollahpourmotlaghzanjani, D. Das, M. Onabajo, N. Sun, S. S. Cash and A. Shrivastava , “A 30% Efficient High Output Voltage Fully Integrated Self-Biased Gate RF Rectifier Topology for Neural Implants”, IEEE Journal of Solid State Circuits (JSSC), 2022, doi: 10.1109/JSSC.2022.3180633.
- N. Mirchandani, Y. Zhang, S. Abdelfattah, M. Onabajo and A. Shrivastava, “Modeling and Simulation of Circuit-Level Nonidealities for an Analog Computing Design Approach with Application to EEG Feature Extraction,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, doi: 10.1109/TCAD.2022.3170248.
- A. Mittal, and A. Shrivastava , “Detecting Continuous Jamming Attack using Ultra-low Power RSSI Circuit“, IEEE International Symposium on Hardware Oriented Security and Trust (HOST), (June-2022, Washington DC)
- Y. Zhang, N. Mirchandani, S. Abdelfattah, M. Onabajo and A. Shrivastava, “An Ultra-Low Power RSSI Amplifier for EEG Feature Extraction to Detect Seizures,” in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 2, pp. 329-333, Feb. 2022, doi: 10.1109/TCSII.2021.3099056
- T. Yang, A. Mittal, Y. Fei and A. Shrivastava, “Large Delay Analog Trojans: A Silent Fabrication-Time Attack Exploiting Analog Modalities,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 29, no. 1, pp. 124-135, Jan. 2021, doi: 10.1109/TVLSI.2020.3034878.
Sep 20, 2023
Developing Ultra-Low Power Machine-Learning Hardware
ECE Associate Professor Aatmesh Shrivastava was awarded up to $1M Young Faculty Award (YFA) from DARPA for “Nano-Watt Power Machine-Learning Hardware using Precision Analog Computing.”
Sep 14, 2023
Improving Power Delivery for High-Performance Computing
ECE Professor Nian Sun and Associate Professor Aatmesh Shrivastava, in collaboration with Khurram Afridi and Huili (Grace) Xing from Cornell University, were awarded a $2M NSF grant for “Heterogeneous Integration in Power Electronics for High-Performance Computing (HIPE-HPC).”
Aug 07, 2023
Young Scholars Program for Local High School Students Finishes Strong
High school seniors engage in diverse engineering research during Northeastern’s Young Scholars Program, mentored by COE faculty and students.
Mar 08, 2023
Shrivastava Awarded Patent for Developing Self-powered Machine Learning Vision Architecture for Edge IoT application
ECE Assistant Professor Aatmesh Shrivastava was awarded a patent for “Self-powered analog computing architecture with energy monitoring to enable machine-learning vision at the edge.”
Aug 18, 2022
Ultra-low Power Distributed Beamforming to Harvest Indoor RF Energy
ECE Assistant Professor Aatmesh Shrivastava was awarded a $400K NSF grant for “High Efficiency Distributed Beamforming RF Energy Transfer using a Closed-loop Energy Receiver.”
May 19, 2022
Using Spark Fund Award to Reduce Power Consumption of IoT Devices
ECE Assistant Professor Aatmesh Shrivastava is using the Spark Funds he received earlier this year to extend the battery life of devices connected to the Internet of Things.
Apr 20, 2022
$1 Million NSF Award as Part of Resilient and Intelligent Next-Generation Systems Program for Spectrum-Agile IoT Networks
ECE Associate Professor Marvin Onabajo, Professor Yunsi Fei, Assistant Professor Aatmesh Shrivastava, and Assistant Professor Francesco Restuccia were awarded a $1M NSF grant for “RINGS: Internet of Things Resilience through Spectrum-Agile Circuits, Learning-Based Communications and Thermal Hardware Security.”
Apr 06, 2022
NSF CAREER Award to Use Ultra-low Power Analog Computing Circuits to Develop Machine Learning Hardware for Biomedical Devices
ECE Assistant Professor Aatmesh Shrivastava received a $500K NSF CAREER award for “An Ultra-low Power Analog Computing Hardware Design Framework for Machine Learning Inference in Edge Biomedical Devices”.
Feb 01, 2022
Creating Ultra-Low Power Consumption
ECE Assistant Professor Aatmesh Shrivastava was awarded a patent for “High stability gain structure and filter realization with less than 50 ppm/° c. temperature variation with ultra-low power consumption using switched-capacitor and sub-threshold biasing.”
Jan 27, 2022
2022 Spark Fund Awardees
BioE Professor Jeff Ruberti, ECE Assistant Professor Aatmesh Shrivastava, ChE Assistant Professor Benjamin Woolston, and MIE Associate Professor Yi Zheng are recipients of Spark Fund Awards, which help Northeastern researchers bridge the gap between promising lab results and demonstrating a commercially viable prototype.