Bio
Currently volunteering as a researcher with SPriTELab, and as the Embedded Systems and Integration Lead for developing a multi-disciplinary FlatSat testbed to enable cybersecurity research at UTSA.
Research Interests
Information and Network Security
Safety, Privacy and Security in Cyber-Physical Systems
Machine and Deep Learning
Computational Biology
Game Theory, Blockchains, IoT
Work Experience
January 2025toPresent
Researcher
January 2021toMay 2025
Graduate Teaching Assistant
January 2018toAugust 2020
Graduate Research Assistant
August 2016toDecember 2017
Graduate Research Assistant
Education
Ph.D. in Computer Science
M.S. in Computer Science
BTech in Information Technology
Awards and Honors
- Received Best Poster Award at NSF CCRI Workshop 2021
- Received Apple Student Travel Scholarship at IEEE WristSense 2018
- Received IEEE WristSense 2018 Best Paper Award
- Received NSF Student Travel Grant for PerCom 2018
- Became fellow of the Eta Kappa Nu (Epsilon Xi Chapter), 2016
Recent Publications
- Mythili Menon†, Nisha Vinayaga-Sureshkanth†, Alec Schon, Kaitlyn Hemberger, and Murtuza Jadliwala. "Linguistic Hooks: Investigating The Role of Language Triggers in Phishing Emails Targeting African Refugees and Students", 26th Privacy Enhancing Technologies Symposium (PETS 2026; Issue 1), Calgary, Canada, July 2026. [Pre-Print]
- Nisha Vinayaga Sureshkanth. "Pedestrian Safety, Security and Privacy in the Era of Pervasive Mobile and Ubiquitous Computing", Doctoral Dissertation, Department of Computer Science, University of Texas at San Antonio, San Antonio, Texas, USA, May 2025. [Dissertation]
- Mohd Sabra, Nisha Vinayaga Sureshkanth, Ari Sharma, Anindya Maiti, Murtuza Jadliwala. "De-anonymizing VR Avatars using Non-VR Motion Side-channels", ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec), Seoul, Korea, May 2024. [Paper]
- Devan Shah, Ruoqi Huang, Nisha Vinayaga-Sureshkanth, Tingting Chen, Murtuza Jadliwala. "ScooterID: Posture-based Continuous User Identification from Mobility Scooter Rides", IEEE Transactions on Mobile Computing, 2024. [Article]
- Mohd Sabra, Nisha Vinayaga Sureshkanth, Ari Sharma, Anindya Maiti, and Murtuza Jadliwala. "Exploiting Out-of-band Motion Sensor Data to De-anonymize Virtual Reality Users", SPriTELab Report, January 2023. [Report]
- Nisha Vinayaga-Sureshkanth, Raveen Wijewickrama, Anindya Maiti, and Murtuza Jadliwala. "An Investigative Study on the Privacy Implications of Mobile E-scooter Rental Apps", ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec), San Antonio, Texas, USA, May 2022. [Paper] [Slides]
- Anindya Maiti†, Nisha Vinayaga-Sureshkanth†, Murtuza Jadliwala, Raveen Wijewickrama, and Greg P. Griffin. "Impact of E-Scooters on Pedestrian Safety: A Field Study Using Pedestrian Crowd-Sensing", IEEE PerCom Workshop on Sensing Systems and Applications using Wrist Worn Smart Devices (WristSense), Pisa, Italy, March 2022. [Paper] [Slides]
- Nisha Vinayaga-Sureshkanth, Raveen Wijewickrama, Anindya Maiti, Murtuza Jadliwala. "Security and Privacy Challenges in Upcoming Intelligent Urban Micromobility Transportation Systems", ACM Workshop on Automotive and Aerial Vehicle Security (AutoSec), New Orleans, Louisiana, USA, March 2020. [Paper] [Slides]
- Anindya Maiti†, Nisha Vinayaga-Sureshkanth†, Murtuza Jadliwala, Raveen Wijewickrama, and Greg P. Griffin. "Impact of E-Scooters on Pedestrian Safety: A Field Study Using Pedestrian Crowd-Sensing", SPriTELab Report, May 2020. [Report]
- Nisha Vinayaga-Sureshkanth, Anindya Maiti, Murtuza Jadliwala, Kirsten Crager, Jibo He, and Heena Rathore. "A Practical Framework for Preventing Distracted Pedestrian-related Incidents using Wrist Wearables", IEEE Access, Volume 6, 2018. [Article]
- Nisha Vinayaga-Sureshkanth, Anindya Maiti, Murtuza Jadliwala, Kirsten Crager, Jibo He, and Heena Rathore. "Towards a Practical Pedestrian Distraction Detection Framework using Wearables", IEEE PerCom Workshop on Sensing Systems and Applications using Wrist Worn Smart Devices (WristSense), Athens, Greece, March 2018. Best Paper Award. [Paper] [Slides] (Best Paper Award)
- Nisha Vinayaga-Sureshkanth, Anindya Maiti, Murtuza Jadliwala, Kirsten Crager, Jibo He, and Heena Rathore. "Towards a Practical Pedestrian Distraction Detection Framework using Wearables", SPriTELab Report, October 2017. [Report]