About Me

Hello! I am Fahim-Ul-Islam, currently working as a Graduate Research Assistant in Computer Science and Engineering at Brac University. under the supervision of Amitabha Chakrabarty. Besides, I am pursuing my master's degree at Brac University, where I am engaged in my thesis and have nearly completed my coursework.  I have also done my Bachelor's in Computer Science and Engineering at Brac University. My research interest can be mainly summarized as follows:

Efficient learning approaches for edge intelligence 

Robust machine learning for autonomous systems 

Cutting-edge solutions for Language Understanding 

In the domain of Computer Vision and Graphics, my research is driven by a profound interest in leveraging Artificial Intelligence (AI) to enhance the comprehension and interpretation of visual data. My work aims to advance the state-of-the-art in computer vision algorithms, addressing critical tasks such as object detection, recognition, image generation, and manipulation. By integrating sophisticated deep learning methodologies with computer graphics techniques, I aim to develop systems that can achieve near-human-level accuracy in analyzing and understanding visual content. Additionally, I am deeply interested in Natural Language Processing (NLP) and its multifaceted applications, with particular emphasis on developing Large Language Models (LLMs). I believe that advancements in NLP and LLMs can drive transformative changes across industries by greatly enhancing machines' understanding and processing of human language.

Journals

Wildfire Prediction in the United States Using Time Series Forecasting Models

Authors: Muhammad Khubayeeb Kabir, Kawshik Kumar Ghosh, Md Fahim Ul Islam, Jia Uddin
Journal: Annals of Emerging Technologies in Computing (AETiC), 2024
Impact Factor: 0.73

Wheat Disease Analysis Using Transformer Models with Reinforced Linear Attention and Federated Learning

Authors: Md. Fahim-Ul-Islam, Amitabha Chakrabarty, Sarder Tanvir Ahmed, Rafeed Rahman, Md. Jalil Piran
Journal: IEEE Access, 2024
Impact Factor: 3.4 [Accepted]

An Interpretable Fusion Model Integrating Lightweight CNN and Transformer Architectures for Rice Leaf Disease Identification

Authors: Amitabha Chakrabarty, Sarder Tanvir Ahmed, Md. Fahim-Ul-Islam, Syed Mahfuzul Aziz, Siti Sarah Maidin
Journal: Ecological Informatics, 2024
Impact Factor: 5.1 [Accepted]

Conferences

Real-time Mastitis Detection in Livestock Using Deep Learning and Machine Learning Leveraging Edge Devices

Authors: Kawshik Kumar Ghosh, Md Fahim Ul Islam, Abrar Ahsan Efaz, Amitabha Chakrabarty, Shahriar Hossain
Conference: International Symposium on Medical Information Communication Technology (ISMICT), 2023

Decoding Emotions: Leveraging Machine Learning to Analyze Emotional Expression for Deeper Mental Health Insights

Authors: Md Wahiduzzaman, Md Fahim-Ul-Islam, Amitabha Chakrabarty
Conference: International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), 2024

Multilingual Sentiment Analysis on Social Media: Harnessing Deep Learning for Enhanced Insights and Decision Support for Foreign Travelers

Authors: Mehedi Hasan, Md. Tahmid Rahman, Abu Hasnayen Zillanee, Md. Golam Rabiul Alam, Md Fahim-Ul-Islam, Amitabha Chakrabarty
Conference: 6th International Conference on Electrical Engineering and Information Communication Technology (ICEE-ICT), 2024

Transforming Precision: A Comparative Analysis of Vision Transformers, CNNs, and Traditional ML for Knee Osteoarthritis Severity Diagnosis

Authors: Tasnim Sakib Apon, Md Fahim-Ul-Islam, Nafiz Imtiaz Rafin, Joya Akter, Md Golam Rabiul Alam
Conference: 6th International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2024

Utilizing Deep Learning Architectures for Early Detection of Lung Diseases in Chest X-ray Images

Authors: Sarder Tanvir Ahmed, Mohammad Fairoz Mahdin, Shomtirtha Barua, Fahim Shariar Abir, Md Fahim-Ul-Islam, Amitabha Chakrabarty
Conference: 26th International Conference on Computer and Information Technology (ICCIT), 2023

Deep Learning Based Crowd Monitoring And Person Identification System 

Authors: Mohammad Fahim Haque, Tawhid Al Muhaimin Choudhury, Dipto Sarkar, Samiul Hoque Rafi, Md Shajidur Rahim, Md Fahim-Ul-Islam, Amitabha Chakrabarty
Conference: 26th International Conference on Computer and Information Technology (ICCIT), 2023

 Gastrointestinal Insights Redefined: An Integrated Hybrid Model Fusing Vision Transformer and Transfer Learning

Authors:  Shahriar Hossain, Rafeed Rahman, Md Fahim-Ul-Islam, Amitabha Chakrabarty
Conference: 6th International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2024

 Enhancing Transparency in Transport Mode Detection: An Interpretable Ensemble Model Classifier

Authors: Azwad Aziz, Nafisa Khan Youkee, Fariha Shams Ahmed,Sandia Tasnim, Md Fahim-Ul-Islam, Amitabha Chakrabarty
Conference: International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), 2024

Enhancing Monkeypox Diagnosis for Skin Lesion Classification

Authors: Namirah Nazmee, Mashyat Samiha Alli, Khusbo Alam,  Amitabha Chakrabarty,  Md Fahim-Ul-Islam
Conference: 26th International Conference on Computer and Information Technology (ICCIT), 2023

Posters

Vitamin D Deficiency Detection: A Novel Ensemble Approach with Interpretability Insights

Authors: Md Fahim-Ul-Islam, Mehedi Hasan, Md Tahmid Rahman, Amitabha Chakrabarty
Conference: 6th International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2024

 CoAtNet-Lite: Advancing Mammogram Mass Detection Through Lightweight CNN-Transformer Fusion with Attention Mapping

Authors:  Sarder Tanvir Ahmed, Shomtirtha Barura,  Md Fahim-Ul-Islam, Amitabha Chakrabarty
Conference: 6th International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2024

WORK EXPERIENCE

Graduate Research Assistant, Department of Computer Science and Engineering, Brac University, Dhaka, Bangladesh
2023 – Present

Conducting advanced research in various areas of computer science and engineering.

Associate (Operations), Quantanite, Dhaka, Bangladesh
2023

Contributed to operational efficiencies and strategic planning.

Machine Learning Engineer Intern, Virtual Market Solution Limited (VMSL), Dhaka, Bangladesh
2023

Developed and implemented machine learning models to solve real-world problems.

Project Intern, JAILBREAKVPN.COM (A Cybersecurity Firm), Dhaka, Bangladesh
2021

Assisted in cybersecurity projects and enhanced online security measures.

Web Developer (Contractual), Dhaka, Bangladesh
2020 – 2021

Designed and maintained websites, ensuring optimal performance and user experience.

Review Service

Conference External Reviewer:

International Conference on Advances in Computing, Communication, Electrical, and Smart Systems, (iCACCESS.2024) 

4th International Conference on Artificial Intelligence, Information Processing and Cloud Computing, (AIIPCC 2024) 

7th International Conference on Bioinformatics and Biomedical Engineering 2024, (BIBE2024)  

Journal Reviewer:

Engineering Applications of Artificial Intelligence, Elsevier 

IEEE Access, Institute of Electrical and Electronics Engineers Inc. 

Research Service

Undergraduate Thesis Panel Judge
Dept of CSE, Brac University
2023 - Present
Evaluated undergraduate thesis presentations, offering constructive criticism and grading to ensure high academic standards.

Undergraduate Thesis Co-supervisor
Dept of CSE, Brac University
2023 - Present
Collaborated with primary supervisors to guide students in their thesis work, focusing on research methodology and project execution.

Master of Computer Science and Engineering
Brac University, Dhaka, Bangladesh
Current Doing Coursework

Bachelor of Computer Science and Engineering
Brac University, Dhaka, Bangladesh
Spring 2019 - Spring 2023

Jalalabad Cantonment Public School and College, Sylhet
Higher Secondary School Certificate (Science)
January 2016 - October 2018

Received Merit-Based Scholarship

Sylhet Government Pilot High School
Secondary School Certificate (Science)
February 2014 - January 2016

Received Merit-Based Scholarship