University of Dhaka · Interdisciplinary Research Lab
MIRAI: Machine Intelligence & Reasoning for Analytics & Informatics
MIRAI Lab brings together students, researchers, and mentors from across the University of Dhaka to develop applied solutions in health, education, agriculture, environment, and society.
Research
Active and funded projects with applied outcomes across the lab.
Smartphone-based soil analysis and crop-planning intelligence
Developing an accessible system that estimates soil properties from smartphone images and combines them with climate and geospatial data to support Bangladeshi farmers.
Collaborators · University of Dhaka, Jessore University of Science and Technology
View projectResearch
Non-funded and seeking-funding initiatives alongside our funded collaborations.
An AI-assisted legal services platform for client intake, research, drafting, and case management — with licensed lawyer oversight and Bangla–English support.
Transforming fragmented legacy data into a secure, centralized, AI-ready data lake with governance, privacy, and analytics foundations.
An adaptive learning and assessment platform that personalizes lessons, practice, and exams while giving teachers actionable performance insight.
Dependable accountable anonymity for decentralized identity via zero-knowledge credential binding and threshold tracing
Ongoing research on dependable accountable anonymity for decentralized identity using Groth16 proofs, threshold tracing, and on-chain governance.
An AI system for early disease screening from non-invasive signals — medical images, voice, cough, vitals, and wearables — with physician oversight and low-cost community access.
Dev
RegGrad and Geo API are both live — preview each site below.
Enrol as a Registered Graduate at the University of Dhaka: confirm eligibility, complete the form, and prepare for Senate elections.
Bangladesh geography infrastructure for product teams — cascading address pickers with catalog-native IDs.
Themes
Cross-disciplinary areas where MIRAI Lab mentors and students contribute active work.
Decision support and monitoring for clinics, public health, and community wellbeing.
Adaptive learning tools, assessment analytics, and accessible educational technology.
Soil intelligence, crop planning, and field data for more resilient farming systems.
Sensing, forecasting, and policy-facing analytics for environmental stewardship.
Applied informatics for civic services, inclusion, and community-level impact.
Machine learning, reasoning, and analytics pipelines that power lab projects.
Supervisors, consultants, and research assistants guiding university-wide project work.
Supervisor, MIRAI Lab
Department of Computer Science and Engineering, University of Dhaka
Research Assistant, MIRAI Lab
University of Dhaka
Research Assistant, MIRAI Lab
University of Dhaka
Research Assistant, MIRAI Lab
University of Dhaka
Supervisor, MIRAI Lab
Department of Computer Science and Engineering, University of Dhaka
Consultant, MIRAI Lab
Research Assistant, MIRAI Lab
University of Dhaka
Research Assistant, MIRAI Lab
Department of Computer Science and Engineering, University of Dhaka
Research Assistant, MIRAI Lab
Department of Computer Science and Engineering, University of Dhaka
Recent notices, publications, and gatherings from the lab.
Event · 6–20 September 2026 · Past
University of Dhaka · Apply at labmirai.org/apply
Two-week recruitment window at the University of Dhaka. Apply online, meet the lab, and hear from supervisors, consultants, and research assistants.
Blog · August 31, 2026 · 6 min
Abdullah Ibne Hanif Arean
A practical roadmap from PyTorch fluency to production RAG, agents, inference, and reinforcement learning — pick one starting line and put in the reps.
Notice · August 15, 2026
Pan–University of Dhaka recruitment is live. Apply at labmirai.org/apply with your CV and motivation letter. Member Recruitment Week: 7–20 September 2026.
Gallery
Visits, collaborations, and moments from MIRAI Lab.
Meeting with Soil Expert on SPADE-AI Project
September 14, 2026
3 photos
Partners and researchers are welcome to propose collaborations with the lab. For questions about student recruitment, contact the team.
