Towards a Practical Pedestrian Distraction Detection Framework using Wearables. - Nisha Vinayaga-Sureshkanth; Anindya Maiti; Murtuza Jadliwala; Kirsten Crager; Jibo He; Heena Rathore (PerCom Workshops, 2018)

A Practical Framework for Preventing Distracted Pedestrian-Related Incidents Using Wrist Wearables. - Nisha Vinayaga-Sureshkanth; Anindya Maiti; Murtuza Jadliwala; Kirsten Crager; Jibo He; Heena Rathore (IEEE Access, 2018)

Impact of Urban Micromobility Technology on Pedestrian and Rider Safety: A Field Study Using Pedestrian Crowd-Sensing. - Anindya Maiti; Nisha Vinayaga-Sureshkanth; Murtuza Jadliwala; Raveen Wijewickrama (CoRR, 2019)

Security and Privacy Challenges in Upcoming Intelligent Urban Micromobility Transportation Systems. - Nisha Vinayaga-Sureshkanth; Raveen Wijewickrama; Anindya Maiti; Murtuza Jadliwala (AutoSec@CODASPY, 2020)

Impact of E-Scooters on Pedestrian Safety: A Field Study Using Pedestrian Crowd-Sensing. - Anindya Maiti; Nisha Vinayaga-Sureshkanth; Murtuza Jadliwala; Raveen Wijewickrama; Greg P. Griffin (PerCom Workshops, 2022)

An Investigative Study on the Privacy Implications of Mobile E-scooter Rental Apps. - Nisha Vinayaga-Sureshkanth; Raveen Wijewickrama; Anindya Maiti; Murtuza Jadliwala (WISEC, 2022)

Exploiting Out-of-band Motion Sensor Data to De-anonymize Virtual Reality Users. - Mohd Sabra; Nisha Vinayaga-Sureshkanth; Ari Sharma; Anindya Maiti; Murtuza Jadliwala (CoRR, 2023)

De-anonymizing VR Avatars using Non-VR Motion Side-channels. - Mohd Sabra; Nisha Vinayaga-Sureshkanth; Ari Sharma; Anindya Maiti; Murtuza Jadliwala (WISEC, 2024)

ScooterID: Posture-Based Continuous User Identification From Mobility Scooter Rides. - Devan Shah; Ruoqi Huang; Nisha Vinayaga-Sureshkanth; Tingting Chen 001; Murtuza Jadliwala (IEEE Trans. Mob. Comput., 2025)