activity
20102025
most citedRobust Consensus in the Presence of Impulsive Channel Noise

28 citations · 80 across the 14 of their papers we have counts for

collaborators

18 papers

cs.AI2025

Fighter Jet Navigation and Combat using Deep Reinforcement Learning with Explainable AI

Swati Kar, Soumyabrata Dey, Mahesh K Banavar +1

This paper presents the development of an Artificial Intelligence (AI) based fighter jet agent within a customized Pygame simulation environment, designed to solve multi-objective…

eess.IV2024

User Authentication and Vital Signs Extraction from Low-Frame-Rate and Monochrome No-contact Fingerprint Captures

Olaoluwayimika Olugbenle, Logan Drake, Naveenkumar G. Venkataswamy +4

We present our work on leveraging low-frame-rate monochrome (blue light) videos of fingertips, captured with an off-the-shelf fingerprint capture device, to extract vital signs and…

eess.IV2023

Generalizability and Application of the Skin Reflectance Estimate Based on Dichromatic Separation (SREDS)

Joseph Drahos, Richard Plesh, Keivan Bahmani +2

Face recognition (FR) systems have become widely used and readily available in recent history. However, differential performance between certain demographics has been identified wi…

eess.SY2023

Data-Driven Nonlinear TDOA for Accurate Source Localization in Complex Signal Dynamics

Chinmay Sahu, Mahesh Banavar, Jie Sun

The complex and dynamic propagation of oscillations and waves is often triggered by sources at unknown locations. Accurate source localization enables the elimination of the rotor…

cs.LG2022★ 3 cited

Integrating machine learning concepts into undergraduate classes

Chinmay Sahu, Blaine Ayotte, Mahesh K. Banavar

In this innovative practice work-in-progress paper, we compare two different methods to teach machine learning concepts to undergraduate students in Electrical Engineering. While m…

eess.SP2022

A novel non-linear transformation based multi-user identification algorithm for fixed text keystroke behavioral dynamics

Chinmay Sahu, Mahesh Banavar, Stephanie Schuckers

In this paper, we propose a new technique to uniquely classify and identify multiple users accessing a single application using keystroke dynamics. This problem is usually encounte…