Maryam

Office:
SP1 310A, 506 Dolorosa St, San Antonio, TX 78204

Bio

I am a third-year PhD student in Computer Science and a Research Assistant at SPriTELab, The University of Texas at San Antonio. My research focuses on Generative AI and Spiking Neural Networks. I received the NDSS 2025 Distinguished Paper Award for my work on voice deepfake detection and was awarded the Internet Society Fellowship. I earned my Master’s degree from Isfahan University of Technology, where I worked on blockchain security, game theory, and distributed systems, publishing papers on Algorand security and transaction mechanisms.

Research Interests

  • Generative AI
  • Spiking Neural Networks
  • Distributed Systems and Blockchain (Consensus Protocols, Economic and Incentive mechanisms, Smart Contract)
  • Game Theory, Multi-Agent Systems

Education

  • MSc in Computer Engineering - Software , Isfahan University of Technology (IUT) , Isfahan, 2018–2021
  • BSc in Computer Engineering - Software , Shahrekord University,2013–2017

Work Experience

  • Research Assistant - SPriTELab, The University of Texas at San Antonio,Jan 2023-Present.
  • Research Assistant - GTMD ( Game Theory and Mechanism Design research laboratory), Isfahan University of Technology, Oct 2018 - Feb 2021.

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

  • Kavita Kumari, Maryam Abbasihafshejani, Alessandro Pegoraro, Phillip Rieger,Kamyar Arshi,Murtuza Jadliwala, Ahmad-Reza Sadeghi, Voice Deepfake Detection using Micro-Frequency and Compositional Analysis, NDSS 2025(Distinguished Paper Award). [Paper]
  • 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]
  • Raveen Wijewickrama,Maryam Abbasihafshejani, Anindya Maiti, Murtuza Jadliwala, OverHear: Headphone based Multi-sensor Keystroke Inference, 2023. [Paper]
  • Maryam Abbasihafshejani, Mohammad Hossein Manshaei, and Murtuza Jadliwala, Detecting and Punishing Selfish Behavior during Gossiping in Algorand Blockchain, IEEE Virtual Conference on Communications (VCC), 2023.[Paper]
  • 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]