Bio

I am a researcher at ScooterLab and SPriTELab at The University of Texas at San Antonio. My primary research interests are in micromobility, mobile sensing and privacy and security.

Research Interests

Micromobility Mobile Sensing Wearable Systems Privacy and Security Human-Computer Interactions AI-Generated Content

Work Experience

Sept 2024toPresent
Vehicle & Sensing Development Lead / Researcher
ScooterLab , The University of Texas at San Antonio
Aug 2020toAug 2024
Vehicle & Sensing Development Lead / Research Assistant
ScooterLab , The University of Texas at San Antonio
Aug 2018toJuly 2024
Research Assistant
SPriTELab, The University of Texas at San Antonio
Jan 2023toAug 2023
Graduate Teaching Assistant
The University of Texas at San Antonio
May 2017toDec 2017
Research Assistant
SPriTELab, Wichita State University
Aug 2016toDec 2017
Graduate Teaching Assistant
Wichita State University

Education

PhD in Computer Science, 2024
The University of Texas at San Antonio
MS in Computer Science, 2017
Wichita State University, Kansas
BS in Computer Science, 2015
Asia Pacific Institute of Information Technology (APIIT), Sri Lanka

Recent Publications

  • Aaditya Khant, Raveen Wijewickrama, Murtuza Jadliwala. "ADVISE: Adversarial Invisible Steganography for Event-data", European Symposium on Security and Privacy (EuroS&P) 2026 - To Appear
  • Raveen Wijewickrama, Maryam Abbasihafshejani, Anindya Maiti, Murtuza Jadliwala. "OverHear: Headphone based Multi-sensor Keystroke Inference", Applied Cryptography and Network Security (ACNS) 2026 - To Appear [Pre-Print]
  • Khoi Trinh, Scott Seidenberger, Joseph Spracklen, Raveen Wijewickrama, Bimal Viswanath, Murtuza Jadliwala, and Anindya Maiti. "Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art", International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) 2026. [Pre-Print]
  • Scott Seidenberger, Marc Beret, Raveen Wijewickrama, Murtuza Jadliwala, and Anindya Maiti. "NinjaDoH: A Censorship-Resistant Moving Target DoH Server Using Hyperscalers and IPNS.", In Proc. Workshop Meas., Attacks, Defenses Web (MADWeb) 2026. [Pre-Print]
  • Aaditya Khant, Raveen Wijewickrama, and Murtuza Jadliwala. "SAFE: Spiking Neural Network-based Audio Fidelity Evaluation.", Asian Conference on Machine Learning (ACML) 2025. [Pre-Print]
  • Khoi Trinh, Scott Seidenberger, Raveen Wijewickrama, Murtuza Jadliwala, Anindya Maiti. "A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks", International Joint Conference on Artificial Intelligence (IJCAI) - Special Track on AI, the Arts, and Creativity, 2025. [Paper]
  • Joseph Spracklen, Raveen Wijewickrama, AHM Nazmus Sakib, Anindya Maiti, Bimal Viswanath, Murtuza Jadliwala. "We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs", USENIX Security Symposium 2025. [Paper] (Distinguished Paper Award)
  • Ubaidullah Khan, Raveen Wijewickrama, Buddhi Ashan M.K., A.H.M. Nazmus Sakib, Khoi Trinh, Christina Duthie, Nima Najafian, Ahmer Patel, R.N. Molina, Anindya Maiti, Sushil K. Prasad, Greg P. Griffin, Murtuza Jadliwala. "ScooterLab: A Programmable and Participatory Sensing Research Testbed using Micromobility Vehicles", IEEE International Conference on Pervasive Computing and Communication (PerCom) Demo Session, Washington, DC, USA 2025. [Paper]
  • Raveen Wijewickrama. "Friend or Foe? Evaluating Sensor-Based Information Side-Channels and Covert Communication Channels on Modern Wearable Devices", Doctoral Dissertation, Department of Computer Science, University of Texas at San Antonio, San Antonio, Texas, USA, August 2024. [Dissertation]
  • Christoph Sendner, Jasper Stang, Alexandra Dmitrienko, Raveen Wijewickrama, Murtuza Jadliwala. "MirageFlow: A New Bandwidth Inflation Attack on Tor", Network & Distributed System Security Symposium (NDSS), 2024. [Paper]
  • Joseph Spracklen, Raveen Wijewickrama, AHM Nazmus Sakib, Anindya Maiti, and Murtuza Jadliwala. "Special Delivery! Investigating the Prevalence, Causes, and Mitigation Methods of Package Hallucinations in Code Generating LLMs", USENIX Security Symposium (SECURITY) Poster session, Philadelphia, 2024. [Poster]
  • Raveen Wijewickrama†, Sameer Anis Dohadwalla†, Anindya Maiti, Murtuza Jadliwala, Sashank Narain. "SkinSense: Efficient Vibration-based Communications Over Human Body Using Motion Sensors", Internet of Things, 2023. [Article]
  • Raveen Wijewickrama, Maryam Abbasihafshejani, Anindya Maiti, and Murtuza Jadliwala. "OverHear: Headphone based Multi-sensor Keystroke Inference", SPriTELab Report, November 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]
  • Raveen Wijewickrama, Anindya Maiti, and Murtuza Jadliwala. "Write to Know: On the Feasibility of Wrist Motion based User-Authentication from Handwriting", ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec), Abu Dhabi, UAE, June 2021. [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]
  • Raveen Wijewickrama, Anindya Maiti, and Murtuza Jadliwala. "deWristified: Handwriting Inference Using Wrist-Based Motion Sensors Revisited", ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec), Miami, Florida, USA, May 2019. [Paper] [Slides] [Artifacts] (ACM Replicability Label)