- Plasma Physics
- Wireless Communications and Networks.
- Plasma Physics
- Cloud Electrification
- Dusty Plasma Physics
- Applied Mathematics
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Robust methods of estimation, Outlier detection, Regression diagnostics, Data mining and statistical machine learning, Multivariate analysis, Statistical computing and graphics, Econometrics methods, Simulation and bootstrapping techniques.
Porous Materials for Environmental Remediation
-Synthesis of porous materials such as Metal-organic fameworks (MOFs), Zeolites, Nickle phosphate molecular sieves.
-Rapid synthesis of porous materials with microwave and ultrasound irradiation.
-Functionalization/modification of MOFs for targeted applications.
Adsorption/separation/Purification
–Adsorptive removal of hazardous materials, including Sulfur Containing Compound (SCC), Nitrogen Containing Compounds (NCC), Pharmaceuticals and Personal Care Products (PPCPs), Contaminants of Emrrging Concerns (CECs).
-Gas phase adsorption of arometics.
Heterogeneous Catalysis
-Acid catalysis with nano porous materials.
-Conversion of biomass into chemical intermediates via dehydration
-Reduction and photocatlysis of organic pollutants
1. Highly porous materials
- Synthesis/Application of porous materials (MOFs, zeolites, carbons, AlPOs)
- MOF- or organic polymer-derived carbons (highly porous, ordered and having various functionalities) adsorption/storage, catalysis and electrical energy storage.
-Rapid/continuous synthesis of porous materials with microwave and ultrasonics
- Functionalization/Modification of MOFs for selective adsorption of hazardous compounds
2. Adsorption/separation
- CO2 capture with porous adsorbents
- Fuel purification (removal of S- and N- containing compounds)
- Water purification (removal of pharmaceuticals, personal care products, pesticides, dyes)
- Adsorption/separation of hydrocarbons
- Adsorption/storage of gases
3. Heterogeneous catalysis
- Acid catalysis with porous materials (dehydration, isomerization, alkylation)
- Conversion of biomass into chemical intermediates with dehydration
4. Electrochemistry
-Supercapacitor
-Sensor
- Structural petroleomics, i.e., Petroleum oil analysis
- Investigation of structure of individual compounds in complex natural mixtures by High Resolution Mass Spectrometry (HRMS)
- Environmental Pollution by Heavy metals
- Analysis of Heavy metals by Atomic Absorption Spectroscopy, Inductively Coupled Plasma Mass Spectrometry (ICP-MS)
- Structural Analysis of Chemicals, i.e., Polycyclic Aromatic Hydrocarbons (PAHs) Compounds
- Separation of PAHs by Liquid Chromatography coupled to Mass Spectrometry (LC-MS)
- Analysis of Environmental Samples, e.g., Coal, Petroleum, Fuel, Bio-oil, soil, water etc by Instrumental Techniques
- Dynamical System
- Differential Geometry
- Astrophysics:
Gravitational lensing, large-scale structure of the universe, General Theory of Relativity, cosmic structures, ray tracing methodology, N-body simulations, dark matter, dark energy, and implementing machine learning approaches to deal with big datasets.
- Plasma Physics:
Electrostatic waves and their nonlinear structures in various plasma systems, space and astrophysical plasmas, multi-ion plasmas, degenerate quantum plasmas, nonextensive plasmas, strongly coupled plasmas, and dusty/complex plasmas.
- Theoretical and Computational Mathematics
1. Synthesis and Characterization of Nanomaterials: My research focuses on the synthesis and characterization of nanomaterials, with a particular emphasis on two-dimensional (2D) materials for applications in energy, environmental, and electronic devices.
2. Alignment with East West University Capabilities: At East West University, my research aligns with available resources, aiming to foster collaborations that advance nanomaterials research for practical technological solutions.
- Statistical Modeling
- Time Series Analysis
- Stochastic Processes
- Analysis of Longitudinal Data
- Bayesian Analysis
- Public Health
- Public health
- Data Science
- Education
- Biostatistics
- Bayesian Network and modelling
- Bio-statistics, epidemiology and Statistical Computation
- Statistical Modeling, Longitudinal Data Analysis, causal Inference, Povarty issue analysis
