Aatmesh Shrivastava

Associate Professor,  Electrical and Computer Engineering



  • 617.373.2063

Research Focus

Ultra-low Power Circuits and Systems, Analog Computing, Precision Circuits, Hardware Security


  • 2014 PhD in Electrical Engineering, University of Virginia, Charlottesville
  • 2006 BS in Electronics and Communications Engineering, Birla Institute of Technology, India

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.

Energy Efficient Circuits and Systems Group

Selected Research Projects

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.
Aatmesh Shrivastava


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.

Aatmesh Shrivastava


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.”

Aatmesh Shrivastava


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.”

Aatmesh Shrivastava


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.

Marvin Onabajo, Yunsi Fei, Aatmesh Shrivastava, and Francesco Restuccia.


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.”

Aatmesh Shrivastava stands in his lab.


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”.

Aatmesh Shrivastava


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.

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