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

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

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

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

Under Review:

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

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

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

4. Evaluation of CNNs for Flower Classification: A Study on Computational Efficiency and Model Performance (Conf.)(Accepted)

5. Synthetic Medical Image Generation for Prostate Cancer Diagnosis Using Deep Convolutional Generative Adversarial Network (Submitted)

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

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

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

9. A SHAP-Guided Ensemble Learning Framework for Explainable Autism Spectrum Disorder Identification (Conf.)(Accepted)

10. Enhancing Clinical Decision-Making: Comparative Evaluation of Machine Learning Models for Symptom-Based Disease Diagnosis (Conf.)(Accepted)

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

12. Adaptive BCI Calibration Using Neuro Agentic AI (Submitted)

Ongoing Research:

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

2. A Comparative Evaluation of Supervised Machine Learning Algorithms for Symptom-Based Disease Prediction (Conf.)(In progress)

3. Automated ESG Analysis of Corporate Sustainability Reports Using ESG-BERT(In progress)

4. An IoT-enabled Smart Office via Autonomous LLM Agents (Journal)(In progress)

5. AI-Powered Advancements in Microbial and Tumor Cell Image Labeling for Enhancement Medical Diagnosis(In progress)

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

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

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

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