8 citations · 13 across the 13 of their papers we have counts for
14 papers
VLAgeBench: Benchmarking Large Vision-Language Models for Zero-Shot Human Age Estimation
Rakib Hossain Sajib, Md Kishor Morol, Rajan Das Gupta +2
Human age estimation from facial images represents a challenging computer vision task with significant applications in biometrics, healthcare, and human-computer interaction. While…
HyCARD-Net: A Synergistic Hybrid Intelligence Framework for Cardiovascular Disease Diagnosis
Rajan Das Gupta, Xiaobin Wu, Xun Liu +1
Cardiovascular disease (CVD) remains the foremost cause of mortality worldwide, underscoring the urgent need for intelligent and data-driven diagnostic tools. Traditional predictiv…
Cross-Lingual Probing and Community-Grounded Analysis of Gender Bias in Low-Resource Bengali
Md Asgor Hossain Reaj, Rajan Das Gupta, Jui Saha Pritha +4
Large Language Models (LLMs) have achieved significant success in recent years; yet, issues of intrinsic gender bias persist, especially in non-English languages. Although current…
BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
Rajan Das Gupta, Md Kishor Morol, Nafiz Fahad +3
As the global burden of Alzheimer's disease (AD) continues to grow, early and accurate detection has become increasingly critical, especially in regions with limited access to adva…
GANDiff FR: Hybrid GAN Diffusion Synthesis for Causal Bias Attribution in Face Recognition
Md Asgor Hossain Reaj, Rajan Das Gupta, Md Yeasin Rahat +3
We introduce GANDiff FR, the first synthetic framework that precisely controls demographic and environmental factors to measure, explain, and reduce bias with reproducible rigor. G…
ViMoNet: A Multimodal Vision-Language Framework for Human Behavior Understanding from Motion and Video
Rajan Das Gupta, Lei Wei, Md Yeasin Rahat +3
This study investigates the use of large language models (LLMs) for human behavior understanding by jointly leveraging motion and video data. We argue that integrating these comple…
A deep learning and machine learning approach to predict neonatal death in the context of São Paulo
Mohon Raihan, Plabon Kumar Saha, Rajan Das Gupta +6
Neonatal death is still a concerning reality for underdeveloped and even some developed countries. Worldwide data indicate that 26.693 babies out of 1,000 births die, according to…
Intelligent Operation and Maintenance and Prediction Model Optimization for Improving Wind Power Generation Efficiency
Xun Liu, Xiaobin Wu, Jiaqi He +1
This study explores the effectiveness of predictive maintenance models and the optimization of intelligent Operation and Maintenance (O&M) systems in improving wind power generatio…
Real-Time Confidence Detection through Facial Expressions and Hand Gestures
Tanjil Hasan Sakib, Samia Jahan Mojumder, Rajan Das Gupta +3
Real-time face orientation recognition is a cutting-edge technology meant to track and analyze facial movements in virtual environments such as online interviews, remote meetings,…
Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
Md. Yeasin Rahat, Rajan Das Gupta, Nur Raisa Rahman +4
The prediction of foreign exchange rates, such as the US Dollar (USD) to Bangladeshi Taka (BDT), plays a pivotal role in global financial markets, influencing trade, investments, a…
From Explanations to Architecture: Explainability-Driven CNN Refinement for Brain Tumor Classification in MRI
Rajan Das Gupta, Md Imrul Hasan Showmick, Lei Wei +4
Recent brain tumor classification methods often report high accuracy but rely on deep, over-parameterized architectures with limited interpretability, making it difficult to determ…
Exploring the Convergence of HCI and Evolving Technologies in Information Systems
Rajan Das Gupta, Ashikur Rahman, Md Imrul Hasan Showmick +2
Modern technology driven information systems are part of our daily lives. However, this deep integration poses new challenges to the human computer interaction (HCI) professionals.…
Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models
Md. Tanzib Hosain, Rajan Das Gupta, Md. Kishor Morol
In this work, we provide DZEN, a dataset of parallel Dzongkha and English test questions for Bhutanese middle and high school students. The over 5K questions in our collection span…
Multimodal Programming in Computer Science with Interactive Assistance Powered by Large Language Model
Rajan Das Gupta, Md. Tanzib Hosain, M. F. Mridha +1
LLM chatbot interfaces allow students to get instant, interactive assistance with homework, but doing so carelessly may not advance educational objectives. In this study, an intera…