Proteomics
Proteomics is a cutting-edge field in bioinformatics.
Team iOmics Lab
We are aiming to build a strong research community and want to build better connections.
Dr. Riasat Azim
Assistant Professor, Dept. of CSE, United International University
Dr. Azim leads the iOmics Lab focusing on AI-driven multi-omics research. His work spans single-cell analysis, spatial transcriptomics, computational drug design, and responsible AI for biomedical applications.
"Our mission is to bridge the gap between high-dimensional omics data and actionable clinical insights through rigorous, reproducible AI engineering."
• Director, iOmics Lab
• UIU Bioinformatics Research Unit
Research Performance Snapshot
Delivering publication-grade biomedical outcomes.
Updated: June 3, 2026
Publications
9+
Q1 Journals
6
Research Areas
8
Active Projects
4+
About iOmics Lab
Operating at the intersection of computational biology, AI engineering, and translational biomedical research.
Vision
Advance computational biology through transparent and clinically relevant bioinformatics systems.
Mission
Deliver reproducible methods, collaborative science, and high-quality scholarly outputs for real-world impact.
Principles
Rigor, ethics, interpretability, and open scientific communication guide every stage of our research pipeline.
Core Research Areas
High-priority research domains shaping our translational bioinformatics and AI pipeline.
Single-cell RNA Sequencing (scRNA-seq)
Analyzing transcriptomic profiles at single-cell resolution using autonomous AI agents like scRNA-RAGent.
Green Computing & Sustainable AI
Prioritizing energy efficiency and Carbon Efficiency Score (CES) in machine learning models.
Network & Edge Security
Developing hybrid SAE-SNN architectures and Intrusion Detection Systems for secure edge networks.
Digital Image Processing
Focusing on medical image segmentation, low-light enhancement, and Vision Transformers (ViT).
Genomic Signal Processing (GSP)
Cancer subtype discovery and advanced bioinformatics modeling methodologies.
Recent Projects
Selected implementation tracks with measurable outcomes across computational biology and health AI.
scRNA-RAGent
Active
An autonomous single-cell analyst project for comprehensive single-cell RNA sequencing data processing and marker gene identification.
Green-Minds
Active
A sustainable AI framework optimizing Carbon Efficiency Score in deep learning models for eco-friendly computing.
Hybrid SAE-SNN IDS
Published
Intrusion Detection System for edge networks utilizing the CIC-IDS2017 dataset.
Recent Publications
Peer-reviewed outputs and scholarly communication from ongoing iOmics research programs.
2026
Book Chapter
Book Chapter
Channel Attention Mechanism in Hybrid Deep Learning Model for Accurate Brain Tumor Classification
Md Ahamed, Sumaiya Dina, Iram Ishika, Roni Das, Riasat Azim
2026
Briefings in Bioinformatics
High Impact
Journal
Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?
Fahim Hafiz, Riasat Azim, Swakkhar Shatabda
2026
arXiv
High Impact
Preprint
SpatialMAGIC: A Hybrid Framework Integrating Graph Diffusion and Spatial Attention for Spatial Transcriptomics Imputation
Sayeem Zaman, Fahim Hafiz, Riasat Azim
2026
Briefings in Bioinformatics
High Impact
Journal
The good, the bad, and the ugly: opportunities, challenges, and pitfalls in spatial proteomics modeling
Shahil Haque, Swakkhar Shatabda, Salekul Islam, Shoaib Dipu, Riasat Azim
People Highlights
Leadership and contributors organized by role for clear collaboration visibility.
Leadership and Key Members
Lab leadership and core contributors driving research execution and engineering delivery.
Collaborators
2Graduate Research Students
1Undergraduate Research Students
4Alumni
1Research Groups
News & Events
Institutional updates, milestones, and upcoming engagements from the iOmics ecosystem.
Latest Announcements
Upcoming Events
Join iOmics Lab
Open opportunities for students, researchers, and collaborators to contribute to active initiatives.
Engineering
Software Developer (Next.js & Supabase)
Join the iOmics team to co-develop our advanced research web ecosystem. Responsibilities include building scalable frontend interfaces, integrating AI tools, and managing Supabase databases. Strong proficiency in Next.js, Tailwind CSS, and modern web architectures is required.
Student Research
Undergraduate Research Assistant (UIU Students Only)
Assist in curating the UIU-NIDS-2026 dataset and developing our RAG-based Bioinformatics Agent. Great opportunity for FYDP students.
Engineering
Machine Learning Engineer (Generative AI)
Work on our flagship CoDNet project. Develop diffusion networks for structure-based drug design.
Contact & Collaboration Desk
For research collaboration, student opportunities, and institutional partnerships, connect directly with our lab desk.
1. Send a Message
2. Contact Information
Department of CSE, United International University, Dhaka, Bangladesh. Lab Room: CSE Research Lab, Room 412.
contact@iomicslab.com
iomicslab.com
Response Times
- Academic collaborations: 2-3 business days
- Undergraduate research queries: 3-5 business days
- Dataset access requests: 5-7 business days
- Media and press communications: 1-2 business days
Lab Location