Research & Publications
Exploring the intersection of machine learning, genomics, and computational biology to accelerate scientific breakthroughs and transform how we understand complex biological systems.
Building AI systems that translate complex biological data into actionable scientific insights.
My research focuses on developing machine learning methodologies that bridge the gap between raw biological data and meaningful scientific discoveries. From deepfake detection to genomics, I apply rigorous computational approaches to solve complex real-world problems.
Effectiveness of EfficientNet-B4 and EfficientNet-B7 Deepfake Detection Techniques
This dissertation investigates the effectiveness of EfficientNet-B4 and EfficientNet-B7 architectures for detecting deepfake media, comparing their performance across various manipulation techniques and datasets. The research demonstrates significant improvements in detection accuracy using transfer learning approaches.
Big Data and Data Analytics
AI-Powered Insights: Modern Analytics for Genomics Research
A comprehensive exploration of AI's impact on business intelligence, transfer learning in NLP, and machine learning applications in cybersecurity. This book uncovers practical techniques and addresses key challenges across multiple domains.
Machine Learning and AI in Business Intelligence: Trends and Opportunities
International Journal of Computer (IJC)
Artificial Intelligence in Transportation Systems: A Critical Review
American Journal of Computing and Engineering
Forecasting of Crop Yield Using Remote Sensing Data, Agrarian Factors and Machine Learning Approaches
Journal of Engineering Research and Reports
Rise of Artificial Intelligence in Business and Industry
Journal of Engineering Research and Reports
Machine Learning in Cybersecurity: Techniques and Challenges
European Journal of Technology
A Tutorial on Principal Component Analysis for Dimensionality Reduction in Machine Learning
International Journal of Innovative Science and Research Technology
Convolutional Neural Networks for Image Classification
International Journal of Innovative Science and Research Technology
A Comprehensive Survey of Deep Learning Techniques Natural Language Processing
European Journal of Technology
The Role of Machine Learning in Transforming Business Intelligence
International Journal of Computing and Artificial Intelligence
A Review of Bayesian Machine Learning Principles, Methods, and Applications
International Journal of Innovative Science and Research Technology
Leveraging Machine Learning for Enhanced Business Intelligence
International Journal of Computer Science and Technology
Exploring the Use of Recurrent Neural Networks for Time Series Forecasting
International Journal of Innovative Science and Research Technology
The Impact of Artificial Intelligence on Business Processes
European Journal of Technology
AI-Driven Security: How Machine Learning Will Shape the Future of Cybersecurity and Web 3.0
American Journal of Neural Networks and Applications
Cloud Computing Forensics: Challenges and Future Perspectives - A Review
Asian Journal of Research in Computer Science
Artificial Intelligence and the Future of Web 3.0: Opportunities and Challenges Ahead
American Journal of Computer Science and Technology
Driving Business Growth with Artificial Intelligence and Business Intelligence
International Journal Of Computer Science And Technology
Artificial Intelligence in Orthopedics: A Concise Review
Asian Journal of Orthopaedic Research
Artificial Intelligence: Revolutionizing Business Intelligence
Predicting Crop Yield Using Deep Learning and Remote Sensing
Journal of Engineering Research and Reports
Transfer Learning in Natural Language Processing (NLP)
European Journal of Technology
Decentralized Authentication and Secure Distributed File Storage for Healthcare Systems Using Blockchain and IPFS
Computers, Materials & Continua
Introduction of the Popular Machine Learning Algorithm
International Journal of Innovative Science and Research Technology
AI in Healthcare
Developing machine learning models for clinical decision support, disease prediction, and personalized medicine approaches.
- Clinical decision support systems
- Disease progression modeling
- Medical imaging analysis
- Patient outcome prediction
Genomics & Bioinformatics
Building AI-ready data systems for analyzing genomic data and translating GWAS signals into interpretable biological insights.
- Large-scale genomic data processing
- GWAS signal interpretation
- Variant analysis pipelines
- Multi-omics integration
Drug Discovery
Applying computational methods to accelerate drug discovery pipelines and identify promising therapeutic candidates.
- Target identification
- Compound screening
- Biomarker discovery
- Clinical trial optimization
Computational Biology
Designing systems for modeling biological processes from longitudinal data where labels are weak and causality is complex.
- Disease progression modeling
- Longitudinal data analysis
- Causal inference in biology
- Biological network analysis
Deepfake Detection
Research on neural network architectures for detecting AI-generated synthetic media and combating misinformation.
- EfficientNet architectures
- Facial manipulation detection
- Video authenticity verification
- Adversarial robustness
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Interested in Research Collaboration?
I'm always open to discussing research opportunities, collaborations, and innovative ideas in AI and computational biology.