Home – Our Research

Our Research Works

Research
Portfolio

Published Research Driving AI Innovation

AAIS-LAB publishes research in artificial intelligence, machine learning, deep learning, and intelligent systems, contributing new knowledge and innovative solutions to the global scientific community.

Deep Learning
AI in Agriculture

Conference

Title:
FusionLeaf-Net: A Multi-Backbone Adaptive Ensemble Framework for Tomato Leaf Disease Classification

Venue:

ACM

Year:

2026

Authors:

Md. Mintajur Rahman Emon*, Mah-Isha Khan, Jewel Mia, Mursalin Khan, Tasnuva Afrin, and Razuan Karim

Quantum Computing
Agriculture

Journal

Title:
Genomic Representation with Quantum Computing

Venue:

N/A

Year:

N/A

Authors:

Md. Mintajur Rahman Emon*, Mah-Isha Khan

6G
SDG

Journal

Title:
A Review Paper

Venue:

N/A

Year:

N/A

Authors:

N/A

How
We Work

From Ideas To Intelligent Systems

AAIS-LAB follows a structured AI research workflow that transforms innovative ideas into intelligent solutions through exploration, experimentation, validation, and real-world application.

'01

Step

Explore & Research

Identifying AI Opportunities

We investigate emerging challenges, analyze research gaps, and explore innovative opportunities in artificial intelligence, machine learning, and intelligent systems to define meaningful research directions.

'02

Step

Develop & Validate

Building Intelligent Models

We design, develop, and evaluate advanced AI models using data-driven methodologies, deep learning techniques, and rigorous experimentation to ensure reliable and effective solutions.

'03

Step

Deploy & Impact

Creating Real-World Solutions

We transform research outcomes into practical AI applications by optimizing intelligent systems, improving performance, creating technologies that deliver meaningful real-world impact, and publishing them in high-end venues.