Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures. - Yashar Kiarashinejad; Sajjad AbdollahRamezani; Ali Adibi (CoRR, 2019)

Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices. - Yashar Kiarashinejad; Sajjad AbdollahRamezani; Mohammadreza Zandehshahvar; Omid Hemmatyar; Ali Adibi (CoRR, 2019)

Knowledge Discovery in Nanophotonics Using Geometric Deep Learning. - Yashar Kiarashinejad; Mohammadreza Zandehshahvar; Sajjad AbdollahRamezani; Omid Hemmatyar; Reza Pourabolghasem; Ali Adibi (Adv. Intell. Syst., 2020)

Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity. - Mohammadreza Zandehshahvar; Yashar Kiarashi; Muliang Zhu; Hossein Maleki; Tyler Brown; Ali Adibi (CoRR, 2021)

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. - Matthew A. Reyna; Yashar Kiarashi; Andoni Elola; Jorge Oliveira 002; Francesco Renna; Annie Gu; Erick Andres Perez-Alday; Nadi Sadr; Ashish Sharma 001; Sandra da Silva Mattos; Miguel T. Coimbra; Reza Sameni; et al. (CinC, 2022)

Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational dataset. - Mohammadreza Zandehshahvar; Marly van Assen; Eun Young Kim; Yashar Kiarashi; Vikranth Keerthipati; Arthur E. Stillman; Peter Filev; Amir H. Davarpanah; Eugene A. Berkowitz; Stefan Tigges; Scott J. Lee; Brianna L. Vey; et al. (Computer-Aided Diagnosis, 2023)

Indoor Localization and Multi-person Tracking Using Privacy Preserving Distributed Camera Network with Edge Computing. - HyeokHyen Kwon; Chaitra Hegde; Yashar Kiarashi; Venkata Siva Krishna Madala; Ratan Singh; ArjunSinh Nakum; Robert Tweedy; Leandro Miletto Tonetto; Craig M. Zimring; Gari D. Clifford (CoRR, 2023)

Indoor Localization using Bluetooth and Inertial Motion Sensors in Distributed Edge and Cloud Computing Environment. - Yashar Kiarashi; Chaitra Hedge; Venkata Siva Krishna Madala; ArjunSinh Nakum; Ratan Singh; Robert Tweedy; Gari D. Clifford; HyeokHyen Kwon (CoRR, 2023)

Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth Technology. - Yashar Kiarashi; Soheil Saghafi; Barun Das; Chaitra Hegde; Venkata Siva Krishna Madala; ArjunSinh Nakum; Ratan Singh; Robert Tweedy; Matthew Doiron; Amy D. Rodriguez; Allan I. Levey; Gari D. Clifford; et al. (Sensors, 2023)

Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing. - Chaitra Hegde; Yashar Kiarashi; Allan I. Levey; Amy D. Rodriguez; Hyeokhyen Kwon; Gari D. Clifford (CoRR, 2024)

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 002; James Weigle; Zuzana Koscova; Kiersten Campbell; Kshama Kodthalu Shivashankara; Soheil Saghafi; Sepideh Nikookar; Mohsen Motie Shirazi; Yashar Kiarashi; Salman Seyedi; Gari D. Clifford; et al. (CoRR, 2024)

Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder. - Yashar Kiarashi; Pradyumna B. Suresha; Ali Bahrami Rad; Matthew A. Reyna; Conor Anderson; Jenny Foster; Johanna Lantz; Tania Villavicencio; Theresa Hamlin; Gari D. Clifford (IEEE J. Biomed. Health Informatics, 2024)