Bio
I'm a PhD student in Computer Science and a Research Assistant at SPriTELab at The University of Texas at San Antonio. My research focuses on Trustworthy Generative AI and Spiking Neural Networks. I earned my Master's degree from Isfahan University of Technology, where my work centered on blockchain security, game theory, and distributed systems.
Research Interests
Generative AI
Spiking Neural Networks
Distributed Systems
Blockchain (Consensus Protocols, Economic & Incentive Mechanisms, Smart Contract)
Game Theory, Multi-Agent Systems
Work Experience
Jan 2023toPresent
Research Assistant
Education
MSc in Computer Engineering (Software Engineering): Isfahan University of Technology (IUT)
BSc in Computer Engineering (Software Engineering) : Shahrekord University
Awards and Honors
- Received the Distinguished Paper Award for our paper “Voice Deepfake Detection using Micro-Frequency and Compositional Analysis” at NDSS 2025
- Received the Internet Society Fellowship, NDSS 2025.
Recent Publications
- 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]
- Maryam Abbasihafshejani, Anindya Maiti, Murtuza Jadliwala. "Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs", IEEE/IFIP Network Operations and Management Symposium (NOMS) 2025. [Paper]
- Kavita Kumari, Maryam Abbasihafshejani, Alessandro Pegoraro, Phillip Rieger, Kamyar Arshi, Murtuza Jadliwala, Ahmad-Reza Sadeghi. "Voice Deepfake Detection using Micro-Frequency and Compositional Analysis", Network & Distributed System Security Symposium (NDSS), 2025. [Paper] (Distinguished Paper Award)
- Maryam Abbasi, Mohammad Hossein Manshaei, and Murtuza Jadliwala. "Detecting and Punishing Selfish Behavior during Gossiping in Algorand Blockchain", IEEE Virtual Conference on Communications (VCC), 2023. [Paper]
- Raveen Wijewickrama, Maryam Abbasihafshejani, Anindya Maiti, and Murtuza Jadliwala. "OverHear: Headphone based Multi-sensor Keystroke Inference", SPriTELab Report, November 2023. [Report]
- Maryam Abbasi, Mohammad Hossein Manshaei, Mohammad Ashiqur Rahman, Kemal Akkaya, and Murtuza Jadliwala. "On Algorand Transaction Fee: Challenges and Mechanism Design", IEEE International Conference on Communications (ICC), 2022. [Paper]