Curriculum Vitae (CV)
Research Interest
Computer Vision, Large Language Models, and Multimodal Machine Learning
Education
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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
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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
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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
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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
- MosquitoMiner – GitHub Link
Autonomous rover for detecting and controlling mosquito breeding places. - MoscProtec – GitHub
Link
AI platform to collect and analyze mosquito-borne disease data and identify mosquito species. - ProMaS – GitHub Link
Project management system for budget tracking, resource allocation, and team collaboration. - UIU Healthcare Management – GitHub
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