Introduction

I am Mohammad(Moe) Sanjari, a PhD student in Computer Science at Tennessee Technological University and a research assistant in the ReACT Lab. I am advised by Dr. Pritom, where I work on advancing trustworthy and explainable AI systems for cybersecurity applications. My work focuses on the intersection of Software Engineering and Information Technology. Currently maintaining a 4.0 GPA, I aim to bridge the gap between academic theory and scalable industrial applications.

Latest News

  • Jun 2025 Served as Chair of the SaT-CPS 2025 workshop (on behalf of my supervisor, Dr. Pritom).
  • Jun 2025 Presented the SmishViz paper at ACM CODASPY 2025 in Pittsburgh, PA.
  • Jun 2025 Started work on the awarded proof-of-concept (POC) grant for the SmishViz dashboard.
  • May 2025 Presented poster: “A Few-Shot Learning Method for SMS Phishing Detection and Explanation Using SLMs” at IEEE S&P 2025.
  • Apr 2025 Awarded a highly competitive IEEE S&P 2025 travel grant (26/219 submissions).
  • Apr 2025 Selected for an NSF-funded travel grant to attend and participate in ACM CODASPY 2025.
  • Aug 2024 Serving as a Research Assistant at the CyTrust Lab, focusing on trustworthy AI for cybersecurity.
  • Aug 2024 Started my PhD in Computer Science at Tennessee Technological University.
  • May 2024 Graduated from Arkansas Tech University with a dual master’s degree and an IT certificate.
  • Apr 2024 Published “Advances in the performance of hybrid photovoltaic-thermoelectric generators: a review” (Senior Author).
  • May 2023 Published “Experimental investigation on the power generation for a hexacopter using a hydrogen fuel cell stack” (Senior Author).
  • Apr 2023 Secured 2nd place at the Arkansas Tech Annual Research Symposium.
  • Apr 2023 Participated in the Annual Arkansas Space Grant Symposium at the Winthrop Rockefeller Institute (Morrilton, AR).
  • Jan 2023 Started working as a Lab Manager at COMSEL, Arkansas Tech (Drone Research).
  • Aug 2022 Started my Master’s program in Information Technology at Arkansas Tech University.

Education

Ph.D. in Computer Science

2024 — 2027

Tennessee Tech University • GPA 4.0

M.S. in Information Technology

2022 — 2024

Arkansas Tech University • GPA 4.0

M.S. in Computer Software Engineering

2013 — 2016

University of Guilan, Rasht, Iran

B.S. in Computer Engineering

2007 — 2012

Payame Noor University, Rasht, Iran

Publications

SmishViz: Towards A Graph-based Visualization System for Monitoring and Characterizing Ongoing Smishing Threats

2025

SM Sanjari, AM Shibli, M Mia, M Gupta, MMA Pritom

Fifteenth ACM Conference on Data and Application Security and Privacy (CODASPY) [PDF | Code | POC]

Poster: A Few-Shot Learning Method for SMS Phishing Detection and Explanation Using SLMs

2025

SM Sanjari, J Roberts, MMA Pritom

IEEE Symposium on Security and Privacy (S&P) [PDF]

Advances in the performance of hybrid photovoltaic-thermoelectric generators: a review

2024

Z Zamanipour, SK Thallapelly, SMS Pirmahalleh

Future Technology 3 (4), 1-11 [PDF]

System and Methods for Ongoing SMS Phishing Campaign Visualization, Monitoring and Characterization

2025

SM Sanjari, AM Shibli, M Mia, M Gupta, MMA Pritom

Student Research and Creative Inquiry Day 2025

Experimental investigation on the power generation for a hexacopter using a hydrogen fuel cell stack

2023

Gerardo Urdaneta, Jacob Crawford, Andres Dewendt, Zuhanee Khan, Kyle McMillan, Christopher Meyers, Mohammad Sanjari

Future Energy 2 (2), 21-28 [PDF]

Recent Developments in Hydrogen Fuel Cell-Powered Drones

2023

SM Sanjari Pirmahalleh

Future Energy Journal

Projects

Smishgent

An intelligent agent framework for analyzing and generating smishing communication patterns for security research.

Python LLM

Quishing Dataset

An augmented dataset specifically designed for detecting and analyzing QR code-based phishing (Quishing) attempts.

Dataset Augmentation

SmishViz Project

The core repository for the SmishViz system, focusing on graph-based threat characterization and monitoring.

Graph AI Cybersecurity

Smishviz Dashboard

Link Pending

A high-performance interactive dashboard for visualizing smishing campaign clusters and temporal threat evolution.

D3.js Frontend