Advanced Machine IntelligenceResearch & Development

Pioneering the future of AI through innovative research, development, and education. Join us in shaping tomorrow's intelligent systems.

AI Network Visualization

Mission & Vision

Driving innovation in artificial intelligence with purpose and vision

Our Mission

To advance the frontiers of artificial intelligence through groundbreaking research and development, while fostering a collaborative ecosystem that bridges academia and industry.

Our Vision

To be the global leader in AI innovation, creating transformative technologies that empower humanity and shape a more intelligent, sustainable future.

Our Values

Excellence in research, ethical AI development, collaborative innovation, and continuous learning form the cornerstone of our organizational values.

Core Areas

Our research and development focuses on key areas of artificial intelligence

Machine Learning

Advanced algorithms and models for automated learning and pattern recognition.

Natural Language Processing

Understanding and generating human language through advanced AI techniques.

Computer Vision

Enabling machines to understand and process visual information from the world.

Robotics & Automation

Developing intelligent systems for physical interaction and automation.

AI Ethics & Safety

Ensuring responsible AI development with focus on ethics and safety.

Edge AI & IoT

Implementing AI solutions for edge devices and Internet of Things.

Latest Publications

Our recent contributions to the field of artificial intelligence

Journal Article2025

An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data

AKB Arnob, MF Mridha, M Safran, M Amiruzzaman, MR Islam

International Journal of Computational Intelligence Systems 18 (1), 1-22
Journal Article2025

Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies

MDSM Bhuiyan, MDAL Rafi, GN Rodrigues, MDNH Mir, A Ishraq, and others

Array, 100390
Journal Article2025

Mpox-XDE: an ensemble model utilizing deep CNN and explainable AI for monkeypox detection and classification

D Kumar Saha, S Rafi, MF Mridha, S Alfarhood, M Safran, MM Kabir, and others

BMC Infectious Diseases 25 (1), 403
Preprint2025

MobilePlantViT: A Mobile-friendly Hybrid ViT for Generalized Plant Disease Image Classification

MR Tonmoy, MM Hossain, N Dey, MF Mridha

arXiv preprint arXiv:2503.16628
Journal Article2025

An Enhanced Deep Learning Approach to Potential Purchaser Prediction: AutoGluon Ensembles for Cross-Industry Profit Maximization

HA Shoaib, MA Rahman, J Maua, A Rahman, MF Mridha, P Kim, J Shin

IEEE Open Journal of the Computer SocietyCitations: 1
Journal Article2025

A Dual Output Temporal Convolutional Network with Attention Architecture for Stock Price Prediction and Risk Assessment

AK Biswas, MSA Bhuiyan, MNH Mir, A Rahman, MF Mridha, MDR Islam, and others

IEEE Access