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Our team

AAIS
Research Team

Passionate people delivering exceptional research works

Our dedicated team works collaboratively to create impactful research across a wide range of areas that will help the betterment of humanity and take the AI landscape to a broader region.

Lab Advisors

Research Leads

Emon, M.M.R.

Lead Researcher
Journals: 2
Conferences: 6
Datasets: NA
Citations: 54
Former Project Manager & Support Engineers' Team Lead at RainbowIT
Department of Computer Science, American International University-Bangladesh (AIUB)

Ayon, S.S.

Lead Researcher
Journals: 5
Conferences: 16
Datasets: 3
Citations: 47
Department of Computer Science and Engineering, American International University-Bangladesh (AIUB)

Lab Co-Ordinators

Khan, M.

Research Assistant
Journals: 2
Conferences: 4
Datasets: NA
Citations: 3
Former Intern at IT, American International University-Bangladesh (AIUB)
Department of Computer Science, American International University-Bangladesh (AIUB)

Emon, M.M.R.

Lead Researcher
Journals: 2
Conferences: 6
Datasets: NA
Citations: 54
Former Project Manager & Support Engineers' Team Lead at RainbowIT
Department of Computer Science, American International University-Bangladesh (AIUB)

Khan, M.I.

Research Assistant
Journals: NA
Conferences: 3
Datasets: NA
Citations: 1
Department of Computer Science, American International University-Bangladesh (AIUB)

Research Interns

Das, S.K.

Research Intern
Junior Software Engineer, R3 Soft.
Institute of Information Technology (IIT), Jahangirnagar University

Fardous, M.A.

Research Intern
Junior Software Engineer, Software Development, Orange Solutions, LTD.
Institute of Information Technology (IIT), Jahangirnagar University

Saha, D.K.

Research Intern
Software Engineer, Pirthe Ltd.
Department of Computer Science and Engineering, Bangladesh University of Business and Technology (BUBT)
Research Strengths
AAIS-LAB

Transforming AI research into intelligent solutions

AAIS-LAB brings together advanced AI methodologies, computational intelligence, and interdisciplinary research to develop practical solutions for complex challenges. Our research strengths span multiple areas of artificial intelligence, with a focus on advancing intelligent systems, data-driven technologies, and real-world AI applications.

Research Expertise Index:

Machine Learning & Deep Learning
0%
Natural Language Processing
0%
Intelligent Systems
0%
Cross Domain
0%
Computer Vision
0%
Data Analytics & AI Modeling
0%
Explainable & Trustworthy AI
0%
Bioinformatics
0%

Let's Build The Future Together

Collaborate with AAIS-LAB to explore innovative artificial intelligence research, intelligent systems, and next-generation AI solutions.

AAIS-LAB
Research FAQ

Everything You Need To Know About Our Research

Explore frequently asked questions about AAIS-LAB’s research areas, collaboration opportunities, AI technologies, publications, and our approach to developing intelligent systems.

AAIS-LAB conducts research in artificial intelligence, machine learning, deep learning, computer vision, natural language processing, and intelligent systems. Our work focuses on developing innovative AI methods and practical solutions for real-world challenges.

Researchers, students, and industry partners can collaborate with AAIS-LAB through joint research projects, knowledge exchange, publications, and innovative AI development initiatives.

We explore AI-driven projects involving predictive modeling, intelligent automation, data-driven systems, neural networks, and human-centered artificial intelligence applications across different domains.

Yes. AAIS-LAB contributes to the global AI research community through peer-reviewed publications, conference papers, and research contributions in emerging areas of artificial intelligence and intelligent systems.

AAIS-LAB highly welcomes students interested in artificial intelligence research, machine learning, and emerging technologies through research assistance, learning opportunities, and collaborative projects.

Our research follows a structured methodology involving literature analysis, model development, experimentation, validation, and continuous improvement to produce reliable and impactful AI solutions.