Home/Metademic Lab
Back to Homepage
Independent research laboratory

Metademic Lab

Research, made reproducible.

Metademic is an independent research laboratory exploring artificial intelligence, intelligent systems, and computing — investigating ideas, building experimental technology, and sharing reproducible knowledge.

Founder

Shariful Haque

Shariful Haque founded Metademic to connect rigorous research practice with applied engineering. His work spans artificial intelligence, business analytics, blockchain, and enterprise systems — with an emphasis on questions that can be tested, measured, and reproduced by others.

Read the full profile

How the lab works

Research, experiment, build, share — in that order.

01

Research

Ask precise questions and map the knowledge gap before committing to a direction.

02

Experiment

Test ideas with explicit baselines, documented assumptions, and measurable outcomes.

03

Build

Turn validated research into software, tools, and experimental technology.

04

Share

Publish methods, data decisions, and results so others can reproduce and extend the work.

Research areas

A laboratory for connected fields — each area has its own questions, evidence, and output.

Artificial intelligence
Learning, reasoning, and evaluation methods for developing capable AI models and practical applications.
Distributed computing
Methods and architectures for coordinating computation across heterogeneous devices, networks, and changing resource conditions.
Intelligent control
Feedback, decision-making, and adaptive control for systems operating under uncertainty.
Autonomous systems
Perception, planning, and coordinated decision-making for autonomous systems in physical environments.
Trustworthy systems
Reliability, security, interpretability, and transparent evaluation for AI and engineered systems.
Explore the full programme
Publications, projects, and lab notes for every research area are maintained on the Metademic site.
Featured product · Experimental

RACoN

Reciprocal Agentic Compute Network

A Metademic product exploring how heterogeneous machines can share computational work reliably — from scheduling and trust to measurement and reproducibility.

Explore RACoN

Good questions deserve more than one perspective

Researchers, engineers, students, and technical writers all have a place in reproducible research. Visit the laboratory to see current work, products, and ways to contribute.

Go to metademic.org