Abrar Rahman Abir
I am Abrar Rahman Abir, a senior undergraduate at the Bangladesh University of Engineering and Technology (BUET), majoring in Computer Science and Engineering. From the very beginning of my undergraduate journey, I have been deeply passionate about Computational Biology and Machine Learning. My profound fascination for Mathematics drives me to explore the vast realm of Machine Learning, and I am particularly excited by the challenge of designing novel machine learning methods to address complex biological problems.
Since my third year, I have had the privilege of being closely supervised by Dr. Wei Zhang at the University of Central Florida and Dr. Liqing Zhang at Virginia Tech. Currently, my undergraduate thesis is focused on Connectomics, conducted in collaboration with the Shavit Lab at MIT. My thesis supervisor at BUET is Dr. Md Shamsuzzoha Bayzid, to whom I remain profoundly grateful for his mentorship and guidance.
My research spans multiple domains, with a strong publication record :
- Machine Learning for Structural Biology
- Generative Models for Biomolecules
- Computational Connectomics
- Computer Vision
- Single-cell and Spatial transcriptomics
- Neural Combinatorial Optimization
These experiences have shaped my vision of pursuing impactful research at the intersection of biology, computation, and AI, with the goal of contributing methods that advance both science and medicine.
Publications
- UnCOT-AD: Unpaired Cross-Omics Translation Enables Multi-Omics Integration for Alzheimer’s Disease Prediction
- LOCAS: Multi-label mRNA Localization with Supervised Contrastive Learning
- GTG-ACO: Graph Transformer Guided Ant Colony Optimization for Learning Heuristics and Pheromone Dynamics for Combinatorial Optimization
- DeepRNA-Twist: Language Model Guided RNA Torsion Angle Prediction with Attention-Inception Network
- BioLLMNet: Enhancing RNA-Interaction Prediction with a Specialized Cross-LLM Transformation Network
- RNA-EFM: Energy-based Flow Matching for Protein-conditioned RNA Sequence-Structure Co-design
- DCGAT-DTI: Dynamic Cross Graph Attention Network for Drug-Target Interaction Prediction
- AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion
- CFM-GP: Unified Conditional Flow Matching to Learn Gene Perturbation Across Cell Types
- Use of CPT and Other Parameters for Estimating Soil Unit Weight using Optimised Machine Learning Models
- A Machine Learning Based Novel Approach of Predicting International Roughness Index (IRI) from Traffic Characteristics using Random Forest Regression
- ST-DISTAL: Learning Spatial Transcriptomics Deconvolution via Spectral-Spatial Dual-Branch GCNs with Distributional Alignment
- MACS: Multi-Domain Adaptation Facilitates Accurate Connectomics Segmentation
- MExConn: A Mechanistically Interpretable Multi-Expert Framework for Multi-Organelle Segmentation in Connectomics
- MOXGATE: Modality-Aware Cross-Attention for Multi-Omic Gastrointestinal Cancer Sub-type Classification
Poster Presentations
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Abrar Rahman Abir, Sajib Acharjee Dip, Liqing Zhang
CFM-GP: Unified Conditional Flow Matching to Learn Gene Perturbation Across Cell Types
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Abrar Rahman Abir, Khandakar Tanvir Ahmed, Wei Zhang
DCGAT-DTI: Dynamic Cross Graph Attention Network for Drug-Target Interaction Prediction
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Abrar Rahman Abir, Sajib Acharjee Dip, Liqing Zhang
Multi-Omics Fusion for Alzheimer’s Disease Prediction: A Novel Unpaired Cross-Omics Translation Approach
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Abrar Rahman Abir, Md Toki Tahmid, Rafiqul Islam Rayan, M Saifur Rahman
Deciphering the Twists of RNA: RNA Torsion Angle Prediction with Attention-Inception Leveraging RNA Language Model
[Video] -
Abrar Rahman Abir, Md Toki Tahmid, M Saifur Rahman
Multi-Label Contrastive Learning Augmented mRNA Subcellular Localization Prediction Leveraging RNA Language Model
[Video]
Education
Bangladesh University of Engineering and Technology
Bachelor of Science in Computer Science and Engineering
Currently in Senior year
CGPA : 3.96