Ongoing Researches

Condensed Matter Physics, Solid State Physics, Material Science

1. Neuropharmacology

2. Endocrinology

3. Metabolic Syndrome

4. Molecular Pharmacology and Drug Discovery

5. Public Health

Cloud Computing, Network Function Virtualization, Edge Computing

1. Nano drug delivery system 

2. Nanomedicine 

3. Antibiotic resistance

Data Science

Internet of Things

• Opportunistic Networks
• IoV, VANET
• Cryptography & Network Security
• Wireless Communications
• Wireless Sensor Networks & IoT

Organic Chemistry, Chemical Biology, Analytical Chemistry, Synthetic Chemistry, Phytochemistry.

Natural and synthetic product-based discovery of newer antimicrobials, antibiotic resistance breakers (ARB) and antibiotic re-sensitizers.

Discovering combined activity of natural products and existing drugs against infectious and metabolic diseases and their molecular mechanisms.

Nano technology-based drug delivery,

Bioinformatics.

Computational chemistry.

•    Phytochemical extraction and characterization of medicinal plants.

•    In vivo pharmacological evaluation using rodent models (e.g., antidiabetic, antihypertensive, and anti-inflammatory studies).

•    In vitro pharmacological screening of Bangladeshi medicinal plants, including antioxidant, cytotoxic, anticancer, and antimicrobial activities.

•    Green synthesis, characterization, and biological evaluation of plant extract-mediated nanoparticles.

•    In silico molecular docking and computer-aided drug discovery.

1. Software Engineering
2. Intelligent Systems
3. Computer Vision
4. Data Science

• Phytochemical Isolation.
• Studies on in vitro pharmacological activities like antioxidant, cytotoxic, antimicrobial etc. of Bangladeshi medicinal plants.
• Analytical method development and validation by HPLC.
• In-silico molecular docking.

Analytical Chemistry,  Phytochemistry and natural products, Pharmacology , Public Health

• Artificial Intelligence
• Machine Learning
• Field and Service Robotics
• Human Computer Interaction

His research spans Machine Learning, Deep Learning, and Computer Vision, with particular emphasis on the Fairness, Robustness, and Interpretability of Machine Learning Systems. He is currently investigating methods to ensure ML models are transparent, reliable, and equitable in real-world applications, with a focus on developing fair and interpretable algorithms for decision-critical domains.