Faculty Members Ongoing Researches
- Drug Delivery Systems and Advanced Drug Delivery Technologies
- Pharmaceutical Formulation and Product Development
- HPLC-Based Analytical Method Development and Validation
- Forced Degradation, Stability, and Drug–Excipient Compatibility Studies
1. Pharmacogenomics
2. Molecular Biology
3. Genetic Polymorphisms
My research focuses on the discovery and development of bioactive compounds from natural sources for the prevention and treatment of human diseases. I am particularly interested in integrating pharmacology, medicinal chemistry, phytochemistry, and computational drug discovery to identify and characterize novel therapeutic agents. My M.Pharm thesis investigated the phytochemical profiling, pharmacological evaluation, and safety assessment of Baccaurea motleyana using integrated in vitro, in vivo, and in silico approaches.
My research interests encompass natural product pharmacology, molecular docking, molecular dynamics simulation, ADMET prediction, toxicological assessment, and mechanism-based drug discovery. A major area of my interest is the exploration of natural products, particularly medicinal mushrooms, as potential therapeutic agents for cancer. I am especially interested in elucidating the molecular mechanisms through which mushroom-derived bioactive compounds regulate autophagy, apoptosis, oxidative stress, and immune responses to inhibit cancer progression and improve therapeutic outcomes. In addition, I investigate the role of natural products in inflammation, wound healing, metabolic disorders, and neurodegenerative diseases.
Through interdisciplinary collaboration, I aim to integrate experimental and computational approaches to accelerate the discovery of safe, effective, and evidence-based therapeutics. My long-term goal is to translate natural bioactive compounds into clinically relevant drug candidates while advancing pharmaceutical research, education, and mentorship
- Machine Learning
- Neural Networks
- Digital Image Processing
- Transfer Learning
- Statistical Model in Machine Learning
- Software Engineering
- Image Processing
- Artificial Intelligence
Natural Language Processing, Explainable AI, Computational Linguistics
On Going Research Projects:
-Multimodal Idiomaticity Representation
-Text Domain Classification
-Figurative Language Understanding
-Low Resource Language
Blockchain, Machine Learning, AI and Computer Vision.
Data Science, Natural Language Processing (NLP), Data Mining, and Machine Learning.
- Natural Language Processsing (NLP)
- Deep Learning
- Machine Learning
- Computer Vision
- Cyber security
- Machine Learning
- Data Mining
- Explainable AI
- Intelligent Transportation Systems
- Malware Analysis
- Malware Detection
- Computer Security
- Cyber Security
- Software Security
- Artificial Intelligence
- Software Engineering
- Distributed Software Engineering
- Software Maintenance
- Reusable Software Development
- Service Oriented Software Engineering
Technology Law & Policy
Human-Computer Interaction
Societal Computing
Software Engineering
- Machine Learning
- Deep Learning
- Medical Image Analysis
- Microarray Gene Expression Data
- Bio-informatics
Data Science
Statistical and financial Data Analysis
Bioinformatics
Generative AI

