activity
20212024
most citedManifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity

47 citations · 67 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2024★ 2 cited

ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis

Matthew A. Reyna, Deepanshi, James Weigle +10

We introduce the ECG-Image-Database, a large and diverse collection of electrocardiogram (ECG) images generated from ECG time-series data, with real-world scanning, imaging, and ph…

cs.AI2024★ 1 cited

Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing

Chaitra Hegde, Yashar Kiarashi, Allan I Levey +3

INTRODUCTION: Mild cognitive impairment (MCI) is characterized by a decline in cognitive functions beyond typical age and education-related expectations. Since, MCI has been linked…

cs.HC2023★ 2 cited

Indoor Localization using Bluetooth and Inertial Motion Sensors in Distributed Edge and Cloud Computing Environment

Yashar Kiarashi, Chaitra Hedge, Venkata Siva Krishna Madala +5

Spatial navigation of indoor space usage patterns reveals important cues about the cognitive health of individuals. In this work, we present a low-cost, scalable, open-source edge…

cs.CV2023★ 15 cited

A Feasibility Study on Indoor Localization and Multi-person Tracking Using Sparsely Distributed Camera Network with Edge Computing

Hyeokhyen Kwon, Chaitra Hegde, Yashar Kiarashi +10

Camera-based activity monitoring systems are becoming an attractive solution for smart building applications with the advances in computer vision and edge computing technologies. I…

physics.optics2021★ 47 cited

Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity

Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu +3

Here, we present a new approach based on manifold learning for knowledge discovery and inverse design with minimal complexity in photonic nanostructures. Our approach builds on stu…