Research Portfolio

Machine learning

Classical Machine Learning (CML)

Deep learning

Human–computer Interaction (HCI)

Computer Vision

Reinforcement learning

Artificial Intelligence

Conference Paper:

1. Enhancement of SmartGrid Stability by Optimal Energy Management System (EMS) Strategy through Deep Learning

2. Cost Effective Optimal Solution for Hybrid Power System among Diverse Sources of Renewable Energy

3. IoT-Enabled Smart Air Traffic Control for Drones in Urban Areas: AI-Driven Route Optimization and Energy Management

4. Outcome-Based Education: Evaluating Students' Perspectives Using Transformer

5. Dynamic and Transformative Hybrid Machine Learning Strategies for Effective Stability Prediction in Smart Energy Networks

6. A SHAP-Guided Ensemble Learning Framework for Explainable Autism Spectrum Disorder Identification

7. Enhancing Clinical Decision-Making: Comparative Evaluation of Machine Learning Models for Symptom-Based Disease Diagnosis

8. Ensemble based Machine Learning Models for Early Stroke Prediction and Risk Factors Identification

9. Evaluation of CNNs for Flower Classification: A Study on Computational Efficiency and Model Performance

Journal:

1. Cost Effective Optimal Solution for Design Optimization and Performance Evaluation of ER Doped and ER-YB Co-Doped Fiber Amplifier Considering Ion-Ion Interaction Effect

Proceeding Paper:

1. MedViT-HoVer++(ViT): A Unified Transformer-Guided Framework for Multitask Nucleus Segmentation, Classification, and Count Regression in Histopathology Images (Conf.)(Proceeding)

2. A Comparative Study of Machine Learning Algorithms for Fetal Health Detection

3. Machine Learning in Healthcare: Key Applications and Insights from Recent Studies (Conf.)(Book Chapter)

4. Uncovering Latent Patterns in Social Media Usage and Mental Health: A Clustering-Based Approach Using Unsupervised Machine Learning (Conf.)(Proceeding)

5. Bridging the Medical and General Language Gap: A Dual-Mode LLM Framework for Enhanced Healthcare Communication (Conf.)(Proceeding)

6. A Machine Learning–Driven Framework for Enhancing Cognitive Function Using tDCS and Brain Gym Interventions (Conf.)(Proceeding)

7. An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks (Conf.)(Proceeding)

8. TransformerMed: A Hybrid Named Entity Recognition Framework for Clinical Text Using BioBERT, Multi-Head Attention, and Bidirectional GRU (Conf.)(Proceeding)

9. VLAgeBench: Benchmarking Large Vision-Language Models for Zero-Shot Human Age Estimation (Conf.)(Proceeding)

10. A Comparative Machine Learning Framework for Multi-Class Crop Recommendation using Soil and Weather Data (Conf.)(Proceeding)

Under Review:

1. Emotionally-Driven Intergenerational HCI for Family Storytelling and Memory Preservation: A Theoretical Framework (Conf.)(Submitted)

2. Self-Supervised Multi-Modal Fusion Model for Solar Energy Forecasting from Satellite Imagery, Weather Reports, and Solar Irradiance. (Journal)(Submitted)

3. Safe and Scalable Collaboration in Multi-Agent LLM Systems: A Comprehensive Review. (Journal)(Submitted)

4. A Multi-Task Learning Approach Integrated with Explainable AI to Optimize EV Charging Infrastructure by Predicting EV Demand, Grid Congestion, and Charging Duration. (Journal)(Submitted)

5. A Hybrid Fusion Approach for Heart Disease Classification Using Feature and Decision-Level Techniques on Color Doppler Echocardiogram Data (Conf.)(Submitted)

6. Machine Learning-Enhanced Cardiovascular Disease Risk Prediction: A Clinical Intelligence Framework (Conf.)(Submitted)

Ongoing Research:

1. Explainable AI in Smart Healthcare: Bridging Technology and Clinical Trust for the Future(In progress) (Journal)

2. Vision–Language Models: A PRISMA-Guided Systematic Review of Architectures, Training Paradigms, and Open Challenges(In progress) (Journal)

3. Are NLP-Based Embeddings Better than Transformer-Based Protein Embeddings?(In progress) (Journal)

4. Optimizing Machine Learning Algorithms with LLVM for Energy-Efficient and High-Performance Computing(In progress) (Conf.)

5. Large Language Models in E-commerce: A State-of-the-Art Bangla Chatbot(In progress) (Research Project)

6. LLM-Based Persona-Driven Multi-Turn Reasoning: A Framework for Trustworthy and Interpretable Clinical Decision Support(In progress) (Journal)

7. Adaptive BCI Calibration Using Neuro Agentic AI (In progress)

8. XAI-PredictFare: Comparative Flight Fare Prediction using Machine Learning Models with Dual Explainability through LIME and SHAP(In progress)

9. Efficient Deep Learning Approach for Binary Classification of Diabetic Retinopathy Using Custom CNN Model(Journal)(In progress)

10. Do Large Models Yield Better Results? Transformer Versus Traditional Natural Language Processing: A Case Study on Anti-Feminist Discourse(In progress)

11. Deep Learning-based Advanced Energy Management System (AMES) for SmartGrid Stability Index Prediction and Improvement in Reliable Power Systems Network (Journal)(In progress)