Curriculum Vitae (CV)

Research Interest
Computer Vision, Large Language Models, and Multimodal Machine Learning
Education
  • BSc in Computer Science and Engineering
    United International University — 2021 - Present GPA: 3.98/4.0 | Major: Data Science
    Thesis: Translation Tangles: Performance Benchmarking and Bias Detection in LLM-Based Translation Across Language Families and Domains
    Notable Courses: Machine Learning, Digital Image Processing, Data Mining, Bioinformatics, HCI
Work Experience
  • Research Assistant
    MIRA, CCDS, IUB — May 2025 – Present
  • AI Intern
    Ontik Technology — Mar 2025 – Present
  • Undergraduate Researcher
    PRISML Lab, Charles Darwin University — Jan 2024 – Present
  • Undergraduate TA
    UIU — Nov 2023 – Jan 2025
  • Grader
    UIU — Oct 2022 – Nov 2023
Publications

Published


  • MosquitoFusion: A Multiclass Dataset for Real-Time Detection of Mosquitoes, Swarms, and Breeding Sites Using Deep Learning
    Md. Faiyaz Abdullah Sayeedi, Md Ashiqur Rahman, Fahim Hafiz
    Oral Presentation, Tiny Papers Track, ICLR 2024
  • MIMIC: Multimodal Islamophobic Meme Identification and Classification
    S M Jishanul Islam*, Sadia Ahmmed*, Sahid Hossain Mustakim*, Md. Faiyaz Abdullah Sayeedi*, Swapnil Khandoker*, Syed Tasdid Azam Dhrubo*, Nahid Hossain (*Equal contribution)
    Poster Presentation, NeurIPS 2024 (MusIML Workshop)
  • ElectroCom61: A Multiclass Dataset for Detection of Electronic Components
    Md. Faiyaz Abdullah Sayeedi, Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Jannatul Ferdous Deepti, Raiyan Rahman, Salekul Islam
    Data in Brief, Elsevier Inc.
  • A Comparative Analysis for Optimizing Machine Learning Model Deployment in IoT Devices
    Md. Faiyaz Abdullah Sayeedi, Jannatul Ferdous Deepti, Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Safrin Sanzida Islam, Md. Motaharul Islam
    Applied Sciences, MDPI (Q1)
  • MosquitoMiner: A Light Weight Rover for Detecting and Eliminating Mosquito Breeding Sites
    Md. Adnanul Islam, Md. Faiyaz Abdullah Sayeedi, Jannatul Ferdous Deepti, Shahanur Rahman Bappy, Safrin Sanzida Islam, Fahim Hafiz
    Oral Presentation, IEEE TENSYMP 2024
  • BrailleSense: Deep Learning for Braille Character Classification
    Md. Faiyaz Abdullah Sayeedi, Anas Mohammad Ishfaqul Muktadir Osmani, Dewan Md. Farid
    Oral Presentation, ICEEICT 2024
  • Fem-Scale: A Data-Driven Approach for Quantifying Degree of Individual Feminism Perspective
    Jannatul Ferdous Deepti, Md. Faiyaz Abdullah Sayeedi, Anayatul Ahad Shoikot, Safrin Sanzida Islam, Anika Tasnim Rodela, Akib Zaman
    Oral Presentation, IEEE InC4 2023

Under Review


  • A Review on the Diagnosis of Mental Health Disorders using Artificial Intelligence: The Role of Explainable AI (XAI) and Clinicians in Advancing Research on Mental Health AI
    Arefin Ittesafun Abian, Md. Faiyaz Abdullah Sayeedi, Mohaimeaul Azam Khan Raiaan, Mirjam Jonkman, Sami Azam, Friso De Boer
    Under Review, Artificial Intelligence Review (Q1, IF 10.7), Springer Netherlands
  • JailbreakTracer: Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation
    Md. Faiyaz Abdullah Sayeedi, Maaz Bin Hossain, Md Kamrul Hassan, Sabrina Afrin, Molla Md Sabit, Md Shohrab Hossain
    Under Review, IEEE Access (Q1, IF 3.4)
Selected Projects
  • MosquitoMinerGitHub Link
    Autonomous rover for detecting and controlling mosquito breeding places.
  • MoscProtecGitHub Link
    AI platform to collect and analyze mosquito-borne disease data and identify mosquito species.
  • ProMaSGitHub Link
    Project management system for budget tracking, resource allocation, and team collaboration.
  • UIU Healthcare ManagementGitHub Link
    Healthcare management tool with appointment booking and real-time hospital locator.
Awards & Honors
  • 100% Scholarship (11/12 trimesters) – UIU
  • Finalist – National Blockchain Olympiad
  • Best Poster Award – Final Year Project (Spring 2024)
  • Champion – Microprocessor Lab (Summer 2024)
  • Champion – Software Engineering (Spring 2024)
  • Champion – Python AI/ML Competition 2024 – UIU App Forum
  • Champion – OOP Project Show (Fall 2022)
  • 1st Runner-Up – Decentralized Edge Blockchain
  • 2nd Runner-Up – DBMS (Spring 2023)
  • 2nd Runner-Up – System Design (Fall 2023)
Skills
  • Programming: C, C++, Java, Python
  • Scripting: BASH, HTML, PHP, CSS, JavaScript, SQL, LaTeX
  • Tools & Platforms: Git, GitHub, Proteus, Logisim, Cisco Packet Tracer, ESP32, Arduino, Raspberry Pi
  • ML/DL Libraries: Scikit-Learn, Matplotlib, Numpy, Pandas, Seaborn, Autoviz, Keras, TensorFlow, PyTorch, PyTorch-Lightning

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