Muhammad Tehmasib Ali Tashfeen

I am a PhD candidate at the Software Analysis and Intelligence Laboratory (NSF-supported), Wichita State University, advised by Dr. Zhiyong Shan. My dissertation focuses on LLM-assisted static analysis for Android application leak detection.

Before my PhD, I spent three years in industry cybersecurity — as a Senior Consultant at Ernst & Young (Technology Risk) and an Information Systems Auditor at The Bank of Punjab — evaluating security across 100+ enterprise applications.

Research interests: software & mobile security · AI for software engineering · network security (SDNs, side-channel attacks) · trustworthy ML

Technical Skills

Program Analysis

Machine Learning & AI

Languages

Infrastructure

news

May 11, 2026	Passed my PhD dissertation proposal defense. My committee has approved the proposal on LLM-assisted static analysis for Android memory leak detection.
Apr 25, 2026	Competing in the Three Minute Thesis (3MT) Competition at Wichita State University Graduate School — presenting doctoral research in three minutes to a general audience.
Apr 01, 2026	Serving as a reviewer for the Iraqi Journal of Information and Communication Technology (2026).
Oct 02, 2025	Received the Research Excellence Award at the 3rd International Conference on Emerging Trends and Innovation, 2025.
Oct 01, 2025	Received the Young Researcher Award at the 3rd International Conference on Emerging Trends and Innovation, 2025.

selected publications

ACM CSUR

Side-Channel Attacks in Software-Defined Networks: A Comprehensive Survey

Muhammad Tehmasib Ali Tashfeen and Zhen Shan

ACM Computing Surveys, 2025

Under review

Bib

@article{tashfeen2025sdnsurvey,
  title = {Side-Channel Attacks in Software-Defined Networks: {A} Comprehensive Survey},
  author = {Tashfeen, Muhammad Tehmasib Ali and Shan, Zhen},
  journal = {ACM Computing Surveys},
  year = {2025},
  note = {Under review},
}

EAI

An Intelligent Machine Learning Based Intrusion Detection System (IDS) for Smart Cities Networks

Muhammad Yousaf Ayub, Usman Haider, Asad Haider, and 3 more authors

EAI Endorsed Transactions on Smart Cities, 2023

Bib

@article{ayub2023intelligent,
  title = {An Intelligent Machine Learning Based Intrusion Detection System ({IDS}) for Smart Cities Networks},
  author = {Ayub, Muhammad Yousaf and Haider, Usman and Haider, Asad and Tashfeen, Muhammad Tehmasib Ali and Shoukat, Hafiz and Basit, Abdul},
  journal = {EAI Endorsed Transactions on Smart Cities},
  volume = {7},
  number = {1},
  pages = {e4},
  year = {2023},
}