Gender-based feature analysis in campus-wide WLANs. - Udayan Kumar; Nikhil Yadav; Ahmed Helmy (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2008)

An architecture for personalized health information retrieval. - Nikhil Yadav; Christian Poellabauer (SHB, 2012)

Using isolated vowel sounds for classification of Mild Traumatic Brain Injury. - Michael Falcone; Nikhil Yadav; Christian Poellabauer; Patrick J. Flynn (ICASSP, 2013)

Portable neurological disease assessment using temporal analysis of speech. - Nikhil Yadav; Christian Poellabauer; Louis Daudet; Tomás Collins; Shane McQuillan; Patrick J. Flynn (BCB, 2015)

Challenges in Concussion Detection Using Vocal Acoustic Biomarkers. - Christian Poellabauer; Nikhil Yadav; Louis Daudet; Sandra L. Schneider; Carlos Busso; Patrick J. Flynn (IEEE Access, 2015)

Portable mTBI Assessment Using Temporal and Frequency Analysis of Speech. - Louis Daudet; Nikhil Yadav; Matthew Perez; Christian Poellabauer; Sandra L. Schneider; Alan Huebner (IEEE J. Biomed. Health Informatics, 2017)

Gaming Projects for Cognitive Testing in an Undergraduate Mobile Healthcare Technology Course. - Nikhil Yadav; Joan DeBello; Celeste Gallardo; Sherice T. Jackson (FIE, 2018)

Secure Mobile Automation of Ecological Momentary Assessments (EMA) For Structured Querying. - Nikhil Yadav; Mehrdad Aliasgari; Christopher Azzara; Fazel Keshtkar (EAI Endorsed Trans. Ambient Syst., 2018)

Recommended Practices for Python Pedagogy in Graduate Data Science Courses. - Nikhil Yadav; Joan E. DeBello (FIE, 2019)

An Adaptable LSTM Network Predicting COVID-19 Occurrence Using Time Series Data. - Anthony Li; Nikhil Yadav (ICDH, 2021)

Privacy-Preserving Crowd-Sensing for Dynamic Spectrum Access With Malicious Workers. - Erald Troja; Nikhil Yadav; Ice Lin; Nhie U. Diep (IEEE Access, 2021)

An End-to-End Machine Learning Solution for Anxiety and Depressive Disorder Symptom Occurrence During COVID-19: A New York Case Study. - Nikhil Yadav; Christopher Singh; Kajal Srivastava (HICSS, 2022)

Mitigating Autonomous Vehicle GPS Spoofing Attacks through Scene Text Observations. - Erald Troja; Joan DeBello; Nikhil Yadav; Mehrdad Aliasgari; Laura M. Truong; James Worden (HICSS, 2023)

What's Race Got to do with it? Predicting Youth Depression Across Racial Groups Using Machine and Deep Learning. - Nathan Zhong; Nikhil Yadav (CoRR, 2023)

Multi and Binary Task Classification for Real and Imagined Motor Movements Using EEG Signals. - Yibo Cheng; Nikhil Yadav (RO-MAN, 2024)

Self-disclosure to conversational AI: a literature review, emergent framework, and directions for future research. - Hashai Papneja; Nikhil Yadav (Pers. Ubiquitous Comput., 2025)