Welcome toDeepHealth Research Lab
At DeepHealth Research Lab, we pioneer cutting-edge AI research in healthcare, developing innovative solutions for medical diagnosis, patient care, and health monitoring that are both accurate and reliable.
Our research focuses on leveraging AI to transform healthcare through intelligent diagnostics, personalized treatment, and preventive care solutions.
Recent News
Stay informed about the latest developments, achievements, and events from our lab.
Linguistic Bias with the Variance of Context Span
Our paper "Linguistic Bias with the Variance of Context Span: Pragmatic Formality and Informality in Bengali Language Representations" has been accepted at the prestigious IJCNLP-AACL 2025 Conference, to be held in Mumbai, India (Dec 20-24, 2025)!
BRAINS: A Retrieval-Augmented System for Alzheimer's Detection
Our paper "BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring" has been accepted at the renowned IEEE ICMLA 2025 Conference (USA)!
B-REASO: Multi-Level Multi-Faceted Bengali Evaluation Suite
Another Ranked Conference from DeepHealth Research Lab! Our paper "B-REASO: A Multi-Level Multi-Faceted Bengali Evaluation Suite for Foundation Models" has been accepted to EMNLP 2025 Findings!
DeepHealth Lab is now officially registered
DeepHealth Lab is now an officially registered Limited Liability Company (LLC) in the USA!
We are hiring!
DeepHealth Lab is hiring! We have openings for a Research Assistant and a Research Intern—Application Closed.
Hybrid Self-Attentive Linearized Phrase Structured Transformer
Our paper "A Hybrid Self-Attentive Linearized Phrase Structured Transformer Based RNN for Financial Sentence Analysis with Sentence-Level Explainability" has been officially accepted in Springer Nature - Scientific Reports.
Core Research Areas
at DeepHealth Lab
Generative AI
DeepHealth Lab develops models that generate new data, like text or images, expanding the creative potential of AI.
Explainable AI (XAI)
We create AI systems that are transparent, offering clear insights into their decisions to build trust and accountability.
Natural Language Processing
Our work in NLP advances the ability of machines to understand and generate human language, improving communication with technology.
Computer Vision
DeepHealth Lab focuses on algorithms that enable machines to interpret visual data, driving innovation in fields like autonomous systems and healthcare.
Human-AI Interaction (HAI)
We design user-friendly interfaces and experiences, enhancing the way people interact with technology.
Ongoing Projects
Explore the innovative projects currently underway at DeepHealth Lab.
Xolver: Multi-Agent Reasoning
A multi-agent, training-free reasoning framework that enhances LLMs by integrating holistic experiences such as tool usage, collaboration, and iterative refinement, enabling them to perform expert-level reasoning.
HoloInteract
An advanced Human-Computer Interaction project that uses augmented reality (AR) to create immersive, user-friendly interfaces, enhancing experiences in education and training.
VisionX
A computer vision system that detects and classifies objects in real-time, optimized for healthcare and autonomous navigation, leveraging Explainable AI to interpret visual data.
Recent Publications
Explore the current research contributions and innovations from DeepHealth Lab
The Generative AI Landscape in Education: Mapping the Terrain of Opportunities, Challenges and Student Perception
by Ziehan Ahmed, Shakib Sadat Shanto, Mosi Khatun Mitu, Nafiz Fahad, Jakir Hossen, Md. Abdullah-Al-Jubair
A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction
by Rasel Ahmed, Nafiz Fahad, Md Saef Ullah Miah, Md. Jakir Hossen, Md. Kishor Morol, Mufti Mahmud, M Mostafizur Rahman
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