AquaMote: Ultra Low Power Sensor Tag for Animal Localization and Fine Motion Tracking. - Eun Sun Lee; Jeya Vikranth Jeyakumar; Bharathan Balaji; Rory P. Wilson; Mani B. Srivastava (SenSys, 2017)

Deep Convolutional Bidirectional LSTM Based Transportation Mode Recognition. - Jeya Vikranth Jeyakumar; Eun Sun Lee; Zhengxu Xia; Sandeep Singh Sandha; Nathan Tausik; Mani B. Srivastava (UbiComp/ISWC Adjunct, 2018)

SenseHAR: a robust virtual activity sensor for smartphones and wearables. - Jeya Vikranth Jeyakumar; Liangzhen Lai; Naveen Suda; Mani B. Srivastava (SenSys, 2019)

Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics. - Jeya Vikranth Jeyakumar; Ludmila Cherkasova; Saina Lajevardi; Moray Allan; Yue Zhao; John Fry; Mani B. Srivastava (ICIOT, 2020)

How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods. - Jeya Vikranth Jeyakumar; Joseph Noor; Yu-Hsi Cheng; Luis Garcia 001; Mani B. Srivastava (NeurIPS, 2020)

Automatic Concept Extraction for Concept Bottleneck-based Video Classification. - Jeya Vikranth Jeyakumar; Luke Dickens; Luis Garcia 001; Yu-Hsi Cheng; Diego Ramirez-Echavarria; Joseph Noor; Alessandra Russo; Lance M. Kaplan; Erik Blasch; Mani B. Srivastava (CoRR, 2022)

On the amplification of security and privacy risks by post-hoc explanations in machine learning models. - Pengrui Quan; Supriyo Chakraborty; Jeya Vikranth Jeyakumar; Mani B. Srivastava (CoRR, 2022)

Robust and Interpretable Predictions for Multimodal Sensor Systems - Jeya Vikranth Jeyakumar (2022)

X-CHAR: A Concept-based Explainable Complex Human Activity Recognition Model. - Jeya Vikranth Jeyakumar; Ankur Sarker; Luis Antonio Garcia; Mani B. Srivastava (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing. - Pengrui Quan; Xiaomin Ouyang; Jeya Vikranth Jeyakumar; Ziqi Wang 001; Yang Xing; Mani Srivastava 001 (HotMobile, 2025)