Education:

Research Interests:

Mr. Abrar’s research interests span several advanced areas, including Machine Learning & Deep Learning, Natural Language Processing (NLP), eXplainable AI (XAI), Quantum Computing and Comparative Genomics. His work in these areas includes developing innovative models like Kolmogorov-Arnold Networks (KAN) and Physics-Informed Neural Networks (PINN), and applying them to practical problems in supply chain management, logistics, and demand forecasting.

Research Experience:

Visiting Researcher at the Physics and Biology Unit, Okinawa Institute of Science and Technology (OIST), Japan, since March 2024. Abrar is working under the supervision of Prof. Jonathan Miller on the project “Evolution of Strongly Conserved Sequence.”

Visiting Research Student at OIST from February 2023 to February 2024, contributing to research on conserved sequences and genomic alignments.

Researcher at the Advanced Machine Intelligence Research Lab (AMIRL), American International University-Bangladesh (AIUB), since March 2023, focusing on NLP and deep learning.

Research Lead at Research Camp 02, Scholarship School BD, Bangladesh, where he led a team on an AI project for COVID-19 detection from May 2022 to March 2023.

Research Intern at OIST, Japan, from October 2021 to March 2022, where he conducted research on sequence length distributions and optimized genomic data analysis workflows.

Research Intern at UiT – The Arctic University of Norway in May 2021, working on machine learning models for road state identification.

Honors and Awards:

Mr. Abrar has received numerous accolades, including being a Global Champion in the Smart Roads Hackathon 2021, Top 6 in Entrepret Season-2: Crafting Visions 2021, and a Global Nominee in the NASA Space Apps Challenge 2023. He has also been awarded the Dean’s Award at KUET three times and recognized as a Junior Research Fellow by SPARRSO in 2022.

Professional Skills:

Mr. Abrar is proficient in multiple programming languages and tools such as Python, C/C++, R, SQL, and SAS. He is skilled in Machine Learning, Data Analysis, and High-Performance Computing, and familiar with Quantum Machine Learning and XAI.