activity
20092026
most citedGSM based CommSense system to measure and estimate environmental changes

29 citations · 96 across the 31 of their papers we have counts for

collaborators

34 papers

eess.SP2026

Comparing GNSS Derived Sea Ice Drift in the Arctic and Antarctic using Rotary Spectra and Principal Component Analysis

James H. Hepworth, Amit Kumar Mishra

Sea ice drift underpins air-sea-ice coupling and model evaluation, but the Southern Ocean remains chronically undersampled relative to the Arctic. This work presents a cross-polar…

eess.SY2025★ 4 cited

Agile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point

Travis Barrett, Amit Kumar Mishra

In this paper, we describe the design of an inexpensive and agile climate sensor system which can be repurposed easily to measure various pollutants. We also propose the use of mac…

eess.SP2023★ 1 cited

Analysis of Arctic Buoy Dynamics using the Discrete Fourier Transform and Principal Component Analysis

James H. Hepworth, Amit Kumar Mishra

Sea-Ice drift affects various global processes including the air-sea-ice energy system, numerical ocean modelling, and maritime activity in the polar regions. Drift has been invest…

eess.SP2023★ 7 cited

Sensing the Environment with 5G Scattered Signals (5G-CommSense): A Feasibility Analysis

Sandip Jana, Amit Kumar Mishra, Mohammed Zafar Ali Khan

By making use of the sensors and AI (SensAI) algorithms for a specialized task, Application Specific INstrumentation (ASIN) framework uses less computational overhead and gives a g…

cs.NI2020★ 10 cited

Crowd Size using CommSense Instrument for COVID-19 Echo Period

Santu Sardar, Amit K. Mishra, Mohammed Z. A. Khan

The period after the COVID-19 wave is called the Echo-period. Estimation of crowd size in an outdoor environment is essential in the Echo-period. Making a simple and flexible worki…

astro-ph.IM2020

Supervised Neural Networks for RFI Flagging

Kyle Harrison, Amit Kumar Mishra

Neural network (NN) based methods are applied to the detection of radio frequency interference (RFI) in post-correlation,post-calibration time/frequency data. While calibration doe…