Pioneering the Next Generation of Machine Intelligence
Advancing state-of-the-art machine learning, generative models, and scalable inference systems for a more intelligent future.
Our mission is to architect intelligent systems that are robust, transparent, and capable of solving complex global challenges through foundational research.
// Latest Workshop
Workshop on Machine Learning & Artificial Intelligence 2026
Chittagong University of Engineering and Technology
// Focus Domains
Where we push
the boundaries
Investigating high-impact disciplines across the spectrum of theoretical and applied machine learning.
Generative Models
Developing state-of-the-art transformers and diffusion architectures with robust structural coherence.
Graph Neural Networks
Analyzing relational datasets for applications in molecular chemistry and predictive social dynamics.
Scalable Inference
Optimizing model quantization, intelligent pruning, and low-latency serving infrastructure for edge constraints.
Reinforcement Learning
Training autonomous agents in simulated environments with complex multi-objective sparse reward parameters.
Algorithmic Alignment
Ensuring models behave identically to human constraints and absolute, verifiable mathematical safety bounds.
Multimodal Processing
Fusing text, spatio-visual, and auditory signals into cohesive massive embeddings for unified intelligence paradigms.
// Featured Works
Breakthrough
implementations
Showcasing our latest operational architectures and foundational models.
Synapse-7B Foundation
Our latest dense model trained entirely on hyper-curated academic sets. Surpasses comparable parameter weights on standard reasoning markers and logic verification tasks.
Neuro-Visual Interfaces
A cross-modal semantic bridge projecting raw EEG waveforms directly into controllable stable diffusion latent states.
RLHF Toolkit v2
Highly scalable alignment pipelines enabling low-VRAM fine-tuning and proxy-based reward modeling for local nodes.
// Esteemed Guidance
Our Respected Advisors
The guiding minds behind our academic direction and research initiatives.
Nishatee Binte Shahid
Assistant Professor
Bangladesh University of Engineering and Technology (BUET)
Civil Engineering (CE) & Structural Engineering
nishatee@ce.buet.ac.bd
Hiron Saraj Devnath
PhD Student
The University of Queensland, Australia
PhD Research
h.devnath@uq.edu.au
Mst. Sajia Afrin (Joya)
Lecturer
University of Chittagong
Department of Zoology
BS (Honors), MS (Wildlife Biology), DU
Juty Singha
Lecturer
Daffodil International University
Computer Science and Engineering (CSE)
// Departments
Our Divisions
Meet the dedicated teams driving our organization forward across various functional areas.
Visionary leaders guiding the lab's strategic direction and overarching mission.
Nirob Devnath
Director
Electrical & Electronic Engineering (EEE), Chittagong University (CU)
Apurbo Kumar
Co-Director
Civil Engineering (CE) & Data Science and Artificial Intelligence (DS&AI), Bangladesh University of Engineering and Technology (BUET) & Indian Institute Of Technology (IIT)
Nafi Naib Mon
Co-Director
Civil Engineering, Islamic University Of Technology (IUT)
Join the intelligence frontier.
We are intensely looking for brilliant theorists, scaling engineers, and postdocs to accelerate upcoming multimodal initiatives.
Official Mail: contact@mlai-research-bd.org