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

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

Under Review:

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

2. Advanced Convolutional Neural Networks for Superior Melanoma Detection Using ResNet34 (Conf.)(Submitted)

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

4. Machine Learning in Healthcare: Key Applications and Insights from Recent Studies (Conf.)(Accepted)

5. Ensemble based Machine Learning Models for Early Stroke Prediction and Risk Factors Identification (Conf.)(Accepted)

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

7. Enhancing Autism Spectrum Disorder Prediction with Advanced Machine Learning and Ensemble Technique (Conf.)(Submitted)

8. A Comparative Analysis of Machine Learning Models for Enhancing Human Activity Recognition Systems (Conf.)(Accepted)

9. Dynamic and Transformative Hybrid Machine Learning Strategies for Effective Stability Prediction in Smart Energy Networks (Conference Proceedings)(Accepted)

10. Outcome-Based Education: Evaluating Students' Perspectives Using Transformer (Accepted)

11. Enhancement of SmartGrid Stability by Optimal Energy Management System (EMS) through Deep Learning (Conf.)(Accepted)

Ongoing Research:

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

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

3. How Accurately Can Vision-Language Models Predict Age from Images? An Evaluation and Enhancement Approach (In progress)

4. AI-based Defect Detection: Machine learning algorithms for real-time identification of defects in fabrics (In progress)

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

6. Synthetic Medical Image Generation for Prostate Cancer Diagnosis Using DCGAN (In progress)