Artificial Intelligence and Machine Learning
The AI and Machine Learning Research Group at American International University-Bangladesh (AIUB) is dedicated to pioneering research in the realm of artificial intelligence, with a focus on advancing machine learning algorithms and intelligent systems. Our interdisciplinary team delves into various facets of AI, exploring key topics that drive innovation and transformative breakthroughs. We are at the forefront of developing cutting-edge neural network architectures, enhancing models to process complex data and achieve remarkable accuracy in tasks such as image recognition, natural language understanding, and recommendation systems. Our work in NLP spans from sentiment analysis and language translation to dialogue systems and text generation. We're committed to the responsible development and deployment of AI technologies. Our group actively contributes to ethical guidelines and frameworks, ensuring that AI advancements align with societal values and ethical considerations.INTEREST(S)
Natural Language Processing (NLP)Sentiment Analysis
VISION
To be a global hub for transformative AI research, where innovation and ethical considerations converge, shaping the future of intelligent systems that address diverse societal needs with unparalleled accuracy and responsibility.
MISSION
Lead the forefront of AI and machine learning research at AIUB, advancing cutting-edge neural network architectures and algorithms to develop intelligent systems that positively impact society, while ensuring responsible and ethical deployment.
MEMBER(S)
Development a BCIS for Breast Cancer classification, detection and segmentation.
Breast cancer stands as a formidable non-communicable disease, casting a somber shadow with its significant global mortality rates. According to the World Health Organization (WHO), breast cancer rank...
Analyzing Factors Affecting Road Crash Severity Using Quantum Machine Learning Approach
This research proposal aims to utilize Quantum Machine Learning (QML) techniques to investigate the relationship between independent variables and crash severity. The study focuses on analyzing the im...
Generating Bengali Explanations for Machine Learning Predictions
The popularity of machine learning (ML) models is increasing day by day, especially for prediction tasks. Consequently, people are using ML models to make predictions for different tasks in Academia a...
Transforming Leaf Disease Diagnosis Through Deep Transfer Learning
Efficient and accurate detection of plant leaf diseases plays a critical role in safeguarding crop yields and ensuring food security. Despite advancements in agricultural technologies, traditional met...
Development of a Sustainable and Lightweight YOLO-Based Deep Learning Model for Throat Cancer Detection
Throat cancer is a serious health issue that requires early and accurate detection to improve patient outcomes and survival rates. While deep learning models have shown great promise in medical image ...
IoT-Enabled Assistive Sunglasses
The Assistive Sunglass System for IoT is a wearable device designed to assist individuals with visual impairments by enhancing their mobility and independence. The system integrates smart technologies...
IoT and Machine Learning-Embedded Fall Detection System
Falls are a major cause of medical problems among the elderly, often leading to severe injuries or fatalities, particularly for individuals living alone. Immediate medical attention is critical to min...
Multimodal Large Language Models in Medical Applications
Multimodal Large Language Models (MLLMs) have demonstrated potential in addressing medical applications, such as Medical Visual Question Answering (MVQA) and Medical Report Generation (MRG), by integr...
Tumor Detection through CNN
To enhance tumor localization and minimize needless radiation exposure in brain MRI scans, this thesis suggests a hybrid deep learning model that combines Graph Neural Networks (GNNs) and Convolutiona...
Enhanced Generic Fruit Disease Detection
The cultivation of various fruits plays a crucial role in the agricultural landscape of the Indian Subcontinent, particularly during the winter cropping season, significantly contributing to agricultu...
Enhanced Biomedical Why Question Answering Using Transfer Learning And Federated learning Approach
Recent advancements in natural language processing (NLP) have led to the creation of advanced language models for various applications. However, large language models (LLMs) often underperform in biom...
TriLangNet: Transfer-Learning Based Approach for Classifying Offensive Multilingual Text in Social Media
In today’s interconnected world where social media and virtual discussion platforms are widely embraced, it has become easier to communicate with one another across regions, but at the same time, incr...
The Art of Deception: Mastering Forensics to detect DeepFake images
The growth of social media and smart devices have transformed the way we communicate, enabling individuals to share content in real-time and connect with others around the world. This development has ...