Researcher & Software Engineer
MS, Computer Science
Latest News
Published "Secure yet fragile: adversarial vulnerabilities of federated vision-language models in medical AI" in Scientific ReportsNew
Scientific Reports
Released the arXiv preprint “Short Message Service (SMS) Phishing Attacks and Defenses: A Systematic Review”New
arXiv preprint
Received Employee of the Year award at Athlete DenNew
New York, USA
Received Eminence Award 2025 (MS Best Paper) from Tennessee Tech UniversityNew
Cookeville, TN, USA
Presented paper "SmishViz: Towards A Graph-based Visualization System for Monitoring and Characterizing Ongoing Smishing Threats" at ACM CODASPY 2025New
Pittsburgh, PA, USA
ACM CODASPY 2025
Led STEM education outreach at University of Tennessee Chattanooga Open HouseNew
Chattanooga, TN, USA
Presented research poster on SMS Phishing Detection using LLMs
San Francisco, CA, USA
45th IEEE Symposium on Security and Privacy (IEEE S&P)
Started as a Full-Time Software Engineer at Athlete Den LLC
New York, USA
AbuseGPT paper published in IEEE Xplore Digital Library
Successfully defended M.S. thesis on cybersecurity and AI
“Smishing (SMS Phishing) Attacks and Defenses: Current Concerns, Campaign Infrastructures, and Towards a Scoring-Based Defense System”
Tennessee Technological University
Presented AbuseGPT paper
San Antonio, TX, USA
12th International Symposium on Digital Forensics and Security (IEEE ISDFS)
Volunteered as First Lego League Robotics competition manager
Tennessee Tech University, TN, USA
Survey paper on Connected and Autonomous Vehicles Security published
Langkawi, Malaysia
IEEE International Conference on Computing (ICOCO)
About
Education
Tennessee Technological University
M.S. in Computer Science
Aug 2023 – Jul 2024
GPA: 4.00/4.00Graduate research in AI and cybersecurity. Degree conferred July 26, 2024.
New Jersey Institute of Technology
Graduate Studies in Computer Science
Sep 2022 – Aug 2023
Graduate study and research in healthcare security, static analysis, and threat modeling before transferring to Tennessee Tech.
Chittagong University of Engineering and Technology
BSc in Computer Science and Engineering
Mar 2013 - Nov 2017
GPA: 3.53/4.00Core software engineering and systems background.
Experience
Athlete Den
Software Engineer
May 2024 - Current
Leading ML pipeline architecture, production AI workflows, and analytics infrastructure.
Athlete Den
Software Engineer Intern
May 2023 - Aug 2023
Built early model-training and data-labeling workflows for sports analytics prototypes.
Tennessee Technological University
Graduate Teaching Assistant
Aug 2023 - May 2024
Developed SMS phishing detection systems and mentored 100+ students per semester.
New Jersey Institute of Technology
Graduate Research and Teaching Assistant
Sep 2022 - May 2023
Worked on PHI leakage detection, STRIDE modeling, and static analysis research.
Samsung R&D Institute Bangladesh
Software Engineer → Senior Software Engineer → Lead Software Engineer
Jul 2018 – Aug 2022
Delivered secure cloud-connected products and automated testing systems.
Projects
Professional
AI Sports Analysis Platform
Athlete Den LLC
May 2024 - Current (Intern: May 2023 - Aug 2023)
Patent-pending AI-powered sports analytics platform
Key Technologies
Highlights
- Real-time athlete activity detection
- Production ML model optimization
- Cloud infrastructure integration
- Patent-pending technology
Samsung Family Hub
Samsung R&D
2018-2022
Smart refrigerator application with cloud connectivity
Key Technologies
Highlights
- Secure API architecture
- 99% crash reduction
- Real-time notifications
- Multi-threaded data handling
Samsung Galaxy Buds
Samsung R&D
2020-2022
Windows application for Galaxy Buds management
Key Technologies
Highlights
- Secure firmware updates
- Bluetooth protocol implementation
- Encrypted data transmission
- Automated testing framework
Research
SMS Phishing Detection
Tennessee Tech
2023
Novel system for detecting SMS-based phishing attacks
Key Technologies
Highlights
- Custom threat detection scoring
- AI model integration
- Pattern analysis system
- Published research
Healthcare Data Protection
NJIT
2022
PHI leakage analysis in healthcare applications
Key Technologies
Highlights
- Static analysis system
- STRIDE threat modeling
- Automated security testing
- Healthcare compliance
Personal
AI Course Advisor
Personal Project
2025
LLM-powered web app for intelligent academic course advising.
Key Technologies
Highlights
- Built recommendation flow from course + preference analysis
- Implemented backend architecture in Flask
- Automated deployment pipeline from GitHub
- Delivered functional advisor demo experience
Generalized Price Tracker
Personal Project
2025
Generalized e-commerce price monitoring system using LLM-assisted extraction.
Key Technologies
Highlights
- Designed universal page parsing without site-specific DOM rules
- Automated price-change detection across diverse websites
- Used LLM-guided extraction for flexible scraping workflows
- Built reusable monitoring architecture for future expansion
Publications
Research work in AI, Cybersecurity, and Computer Vision
Preprints & Under Review
IterVLM: An Iterative Evaluation Framework for Vision-Language Models
A. M. Shibli, et al.
Manuscript (IterVLM)
2026
Framework for iterative generator-evaluator analysis and quality tracking in VLM pipelines.
Short Message Service (SMS) Phishing Attacks and Defenses: A Systematic Review
Mir Mehedi A. Pritom, Seyed Mohammad Sanjari, Maraz Mia, Ashfak Md Shibli, S. M. Mostaq Hossain, Muhammad Ismail, Shouhuai Xu
arXiv preprint (arXiv)
2026
Systematic review of smishing attacks, defenses, datasets, and open research directions.
Published
Secure yet fragile: adversarial vulnerabilities of federated vision-language models in medical AI
Awal Ahmed Fime, Tasfia Zaman Samiha, Md Zarif Hossain, Saika Zaman, Ashfak Md Shibli, Abdur R. Shahid, Zhen Ni, Ahmed Imteaj
Scientific Reports (Sci Rep)
2026
Journal article evaluating adversarial vulnerabilities and test-time defenses for federated medical vision-language models.
SmishViz: Towards A Graph-based Visualization System for Monitoring and Characterizing Ongoing Smishing Threats
Seyed Mohammad Sanjari, Ashfak Md Shibli, Maraz Mia, Maanak Gupta, Mir Mehedi Ahsan Pritom
ACM Conference on Data and Application Security and Privacy (ACM CODASPY)
2025 · Pittsburgh, PA
Graph-based visualization system for monitoring and characterizing ongoing smishing threats. Visualization software: https://smishviz.com/
Use of LLM-based Generative AI Chatbots for Smishing Attacks and Defenses
A. M. Shibli, M. M. A. Pritom
45th IEEE Symposium on Security and Privacy (IEEE S&P)
2024 · San Francisco, CA
Novel research on generative AI for SMS phishing detection and defense.
AbuseGPT: Abuse of Generative AI ChatBots to Create Smishing Campaigns
A. M. Shibli, M. M. A. Pritom, M. Gupta
12th International Symposium on Digital Forensics and Security (ISDFS)
2024 · San Antonio, TX
Research on AI-driven security threats in messaging communications.
Survey on Security Attacks in Connected and Autonomous Vehicular Systems
S. M. Mostaq Hossain, S. Banik, T. Banik, A. M. Shibli
IEEE International Conference on Computing (ICOCO)
2023 · Langkawi, Malaysia
Comprehensive analysis of autonomous vehicle security vulnerabilities.
Developing a Vision-Based Driving Assistance System
Shibli, A.M., Hoque, M.M., Alam, L.
Emerging Technologies in Data Mining and Information Security (Springer AISC)
2019
Presented at IEMIS 2018 and received Best Paper recognition; published in the Springer proceedings volume in 2019.
Awards
Total Recognitions
5
Latest Milestone
2026
Focus Areas
Research + Industry
Eminence Award 2025 - MS Best Paper
Tennessee Technological University, College of Engineering
Recognized for best paper contributions from the MS research track, reflecting impact in cybersecurity and AI research output.
Employee of the Year
Athlete Den
Awarded for technical leadership in AI model architecture, performance optimization, and product commercialization support.
ICON of the Month
Samsung Research
Two-time recognition for engineering excellence and high-impact execution across consumer product initiatives.
Outstanding Collaborator
Samsung Research
Recognition for cross-team collaboration and delivery effectiveness across application and desktop engineering programs.
Best Paper Award
International Conference on Emerging Technologies in Data Mining and Information Security
Presented at IEMIS 2018 and received Best Paper recognition; published in the Springer proceedings volume in 2019.