Research Interests
- Efficient Machine Learning (ML) & Deep Learning (DL)
- Kolmogorov Arnold Networks (KAN)
- Geometric & Spiking Neural Networks
- Physics-Informed Neural Network (PINN)
- Quantum Computing
- Quantum Machine Learning (QML)
- Trustworthy AI
- Explainable AI (XAI)
- Uncertainty Quantification (UQ)
- Conformal Prediction (CP)
- Self-Supervised Learning (SSL)
- Contrastive Learning
- Reinforcement Learning (RL)
- Inverse RL (IRL)
- Imitation Learning
- Human-in-the-loop RL
- Natural Language Processing (NLP)
- Sentiment Analysis
Research Experiences
| AI Researcher | Aug 2025 - Present |
|---|---|
| Center on Knowledge Graphs, Information Sciences Institute (ISI), Marina Del Rey, CA, USA | Portfolio |
| Office Location: ISI 718 (7th floor), 1038 (10th floor), and 922 (9th floor), Information Sciences Institute, 4676 Admiralty Way, Marina del Rey, CA 90292 | |
| Supervisors: Prof. Craig Knoblock and Prof. Jay Pujara | |
| Research Projects: | |
| ■ Modeling Sparse and Heterogeneous Geochemistry Data to Accelerate Critical Mineral Discovery (STTR Phase II) [Funded by DARPA/USGS] | |
| ■ Enhancing Scalability of Knowledge Graphs for Enterprise Defense Solutions (STTR Phase I funded by U.S. Air Force Research Laboratory (AFRL), led by SIMBA Chain, Inc. | |
| ■ Temporal Knowledge Graphs for Multi-Hop Pattern Recognition |
| Lead Researcher | Mar 2023 - Aug 2025 |
|---|---|
| Advanced Machine Intelligence Research Lab (AMIRL), American International University-Bangladesh (AIUB), Bangladesh | Portfolio |
| Roles: Research Assistant (Mar 2023 - Dec 2023), Researcher (Dec 2023 - Feb 2024), Lead Researcher (May 2024 - Present) | |
| Research Affiliations: | |
| Department of Natural Language Processing and Computational Linguistics | |
| Supervisor: Prof. Mohammad Firoz Mridha (Professor, Department of Computer Science, AIUB) | |
| Collaborators: Prof. R. Simon Sherratt (IEEE Fellow), Prof. Nilanjan Dey, Prof. Jungpil Shin, Prof. Yuichi Okuyama, Prof. Zeyar Aung, Prof. Yutaka Watanobe, Prof. Md. Rashedul Islam | |
| ■ Published articles in the fields of DL, QML, GNN, XAI, conformal prediction, human-in-the-loop, NLP, and operations research |
| Visiting Researcher (VR) | Mar 2024 - Mar 2025 |
|---|---|
| Physics and Biology Unit, Okinawa Institute of Science and Technology Graduate University (OIST), Japan | Affiliation |
| Research topic: Evolutionary dynamics of strongly conserved sequences in vertebrates and insects | Code Repository |
| Supervisor: Professor Jonathan Miller (BS in Statistics, Yale; PhD in Biology, Cambridge; PhD in Physics, Caltech) | |
| ■ Contributed to FY2023 Annual Report |
| Visiting Research Student (VRS) | Feb 2023 - Feb 2024 |
|---|---|
| Physics and Biology Unit, Okinawa Institute of Science and Technology Graduate University (OIST), Japan | Affiliation |
| Research topic: Evolutionary dynamics of strongly conserved sequences in vertebrates and insects | Code Repository |
| Supervisor: Professor Jonathan Miller (BS in Statistics, Yale; PhD in Biology, Cambridge; PhD in Physics, Caltech) | |
| Collaborators: Dr. Lucia Zifcakova, Dr. Priscila Do Nascimento Biller, Dr. Zdenek Lajbner, and Dr. Reuven Pnini | |
| ■ Critically analyzed and visually represented all potential combinations of inter-gap segments (IGS), ancestral repeats (ARs), and contiguous mismatched ARs in human/mouse and human/gorilla genome alignments, focusing on both DNAs and repetitive sequences | |
| ■ Successfully replicated the findings of the neutral indel model proposed by Lunter, Pointing, and Hein (2006) |
| Research Lead | May 2022 - Mar 2023 |
|---|---|
| Research Camp 02, Scholarship School BD, Bangladesh | |
| Research topic: Ultrasound-Based AI for COVID-19 Detection | |
| Supervisor: Dr. Mohammad Arafat Hussain (Post-doctoral Research Fellow at Image, Informatics & Intelligence Research Lab, Harvard Medical School; PhD in Biomedical Eng., UBC Canada; MASc in Biomedical Eng., UBC) | |
| Experiences: | |
| ■ Led the research team of 17 fellow researchers on a project titled “Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies” | |
| ■ Contributed to writing the original manuscript, software implementation, and data curation and served as a corresponding author for the entire communication with the journal |
| Research Intern (RI) | Oct 2021 - Mar 2022 |
|---|---|
| Physics and Biology Unit, Okinawa Institute of Science and Technology Graduate University (OIST), Japan | Affiliation (Acceptance Rate: 14%) |
| Research topic: Evolutionary dynamics of strongly conserved sequences in vertebrates and insects | Code Repository |
| Supervisor: Professor Jonathan Miller (BS in Statistics, Yale; PhD in Biology, Cambridge; PhD in Physics, Caltech) | |
| Experiences: | |
| ■ Awarded with full-funded scholarship with a daily allowance of JPY 2400 per working day (taxable) | |
| ■ Conducted research on perfectly conserved sequence (PCS) length distributions of UCSC 44 pairwise genome sequences | |
| ■ Analyzed quantile kurtosis of PCS lengths proposed by Nash and Lenhard (2018) and identified a ‘knee’ in the PCS distributions of the heavy-tailed region | |
| ■ Collaborated with Dr. Zifcakova to track erroneous out-of-bound PCS coordinates generated by Nash and Lenhard (2018), utilizing R and Bedtool, and resolved issues using Python 3.10 | |
| ■ Optimized Nash and Lenhard’s 3 R scripts for PCS generation, quantile kurtosis analysis, and genomic regulatory blocks (GRBs), reducing time and memory complexity. Successfully reproduced PCS coordinates following UCSC format and fixed genome coordinate related errors in R’s Bioconductor package | |
| ■ Demonstrated proficiency in shell scripting, parallel computing, and software installation on the HPC Deigo cluster | |
| ■ Presented weekly progress to the Unit using MS PowerPoint slides and animations |
| Research Intern | May 2021 |
|---|---|
| Department of Computer Science and Computational Engineering, UiT - The Arctic University of Norway | Internship Report |
| Supervisors: Ghada Bouzidi, Prof. Aleksander Pedersen, Prof. Rune Dalmo | |
| Internship Mentor: Prof. Per Arne Sundsbø | |
| Duties included: | Code Repository |
| ■ Conducted comprehensive data and statistical analysis on the Narvik road dataset as part of the DIT4BEARs Smart Road project | |
| ■ Designed, implemented, and evaluated ML models (classifiers: KNN, Logistic Regression, XGBoost, Prophet) that identified the road state as one of the following states: dry, moist, wet, icy, snowy, slushy) to tackle the winter weather challenges encountered in the Barren Euro-Arctic region | |
| ■ Proposed a novel safety metric and forecasted its values using ML regressors: Ridge, Lasso, Elastic Net, Linear Regression, XGBRegressor | |
| ■ Effectively communicated project findings by presenting results at the final meeting, attended by 4 distinguished professors |
Grants & Funding
Competitive Research Funding in AI
-
University of Aizu, Japan 2023
QAmplifyNet: pushing the boundaries of supply chain backorder prediction using interpretable hybrid quantum-classical neural network
Research Sponsor: Prof. Jungpil Shin -
Khalifa University, UAE 2024–Present
TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical–Quantum Framework with Uncertainty Quantification
Research Sponsor: Prof. Zeyar Aung -
Khalifa University, UAE 2024–Present
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection
Research Sponsor: Prof. Zeyar Aung -
Hamad Bin Khalifa University, Qatar 2024–2025
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
Research Sponsor: Prof. Md Al Amin -
University of Aizu, Japan 2024
A Hybrid Transformer and Attention-Based Recurrent Neural Network for Robust and Interpretable Sentiment Analysis of Tweets
Research Sponsor: Prof. Yutaka Watanobe -
Multimedia University, Malaysia 2025
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
Research Sponsor: Prof. Hezerul Abdul Karim -
Multimedia University, Malaysia 2025
Vision Transformers for End-to-End Quark-Gluon Jet Classification from Calorimeter Images
Research Sponsor: Prof. Md. Jakir Hossen
Peer Review Experiences
(Web of Science ResearcherID: AFE-0313-2022).
- ICML 2026
- PLOS One
- Quantum Machine Intelligence (Springer Nature)
- Information Systems (Elsevier)
- ICML 2025 Workshops: LatinX in AI, Actionable Interpretability Workshop, DataWorld
- IEEE Transactions on Biomedical Engineering
- IEEE Transactions on Systems, Man and Cybernetics: Systems
- Scientific Reports (Nature Portfolio)
- ACM Transactions on Intelligent Systems and Technology
- Expert Systems with Applications (Elsevier)
- IEEE Access
- Neural Networks (Elsevier)
- Computers & Industrial Engineering (Elsevier)
- Multimedia Tools and Applications (Springer Nature)
- Engineering Applications of Artificial Intelligence (Elsevier)
- The Journal of Supercomputing (Springer Nature)
- Cluster Computing (Springer Nature)
- Journal of Contemporary African Studies (Taylor & Francis)
- Journal of Multidisciplinary Healthcare (Taylor & Francis)
- 7th European Conference on Industrial Engineering and Operations Management (Augsburg, Germany, July 2024)
Professional Affiliations
AAAI Student Member (Member #649479) Dec 2025 – Nov 2026
Association for the Advancement of Artificial Intelligence
✉️ mjahin@acm.org
ACM Student Member (Member #3553960, USC ACM Chapter) Aug 2025 – Jul 2026
Association for Computing Machinery
✉️ mjahin@acm.org
🔗 Official Member Profile
IEEE Graduate Student Member (Member #96981120, Coastal Los Angeles Section) Jan 2026 – Present
IEEE Computational Intelligence Society Jan 2026 – Present
IEEE Computer Society Jan 2026 – Present
IEEE Communications Society Jan 2026 – Present
IEEE Young Professionals Jan 2026 – Present
Quantum Technical Community, IEEE Computer Society Jan 2022 – Dec 2025
Leadership and Advisory Roles
| KUET Research Society | Nov 2023 - May 2024 |
|---|---|
| Co-founder & President | LinkedIn Page |
| Co-moderator: Dr. Md. Saiful Islam | |
| Responsibilities: | |
| ■ Served as an Executive Committee Member and President of the Industrial Engineering and Management Research Unit | |
| ■ Supervising (as an alumnus) 6 groups of research students concentrating on ML-DL and computational fuzzy logic, fostering cross-departmental research collaboration | |
| ■ Teaching (as an alumnus) scientific research methodology, research ethics, and journal article formatting meeting publication criteria and acquiring funding for publications |
| USC CS Undergraduate Mentorship Program (Fall 2025) | Oct 2024 - Present |
|---|---|
| Graduate Mentor | Area: General AI/Machine Learning (theoretical/applied) |
| ■ Mentoring 2 undergraduate CS students at USC on research preparation, course planning, and pathways to graduate study through recurring one-on-one advising | |
| ■ Advising on faculty outreach, independent skill development, and research-focused internships and REU opportunities |
| IEEE Computer Society - Coastal Los Angeles Section, Chapter C16 (CH06240) | Jan 2026 - Present |
|---|---|
| Treasurer | |
| ■ Managed chapter financial operations, including budgeting, expense review, record maintenance, and reporting to the Section Executive Committee | |
| ■ Prepared and submitted annual financial statements (L-50) and ensured compliance with IEEE MGA policies and audit requirements |