Professors in Machine Learning in Materials Science

Innovative Microfluidic and Catalytic Techniques Innovation, Microfluidic and Capillary Electrophoresis Applications, Electrowetting and Microfluidic Technologies, Gold and Silver Nanoparticles Synthesis and Applications, Machine Learning in Materials Science

Perovskite Materials and Applications, Chalcogenide Semiconductor Thin Films, Quantum Dots Synthesis And Properties, Machine Learning in Materials Science, Conducting polymers and applications

Synthesis and biological activity, Organic Electronics and Photovoltaics, Conducting polymers and applications, Synthesis and Characterization of Heterocyclic Compounds, Machine Learning in Materials Science

Advanced Chemical Physics Studies, Machine Learning in Materials Science, Spectroscopy and Quantum Chemical Studies, Computational Drug Discovery Methods, Crystallography and molecular interactions

Radioactive element chemistry and processing, Catalytic Processes in Materials Science, Catalysis and Oxidation Reactions, Machine Learning in Materials Science, Extraction and Separation Processes

Catalytic Processes in Materials Science, Catalysis and Oxidation Reactions, Catalysis and Hydrodesulfurization Studies, Catalysts for Methane Reforming, Machine Learning in Materials Science

Catalytic Processes in Materials Science, Advanced Chemical Physics Studies, Machine Learning in Materials Science, Plasmonic and Surface Plasmon Research, Photonic and Optical Devices

Crystallization and Solubility Studies, Metal-Organic Frameworks: Synthesis and Applications, X-ray Diffraction in Crystallography, Covalent Organic Framework Applications, Machine Learning in Materials Science

Graphene research and applications, Fullerene Chemistry and Applications, Boron and Carbon Nanomaterials Research, Advancements in Battery Materials, Machine Learning in Materials Science

Cooperative Communication and Network Coding, Wireless Communication Security Techniques, Machine Learning in Materials Science, Chemical Thermodynamics and Molecular Structure, Mobile Ad Hoc Networks

Machine Learning in Materials Science, Computational Drug Discovery Methods, Process Optimization and Integration, Integrated Energy Systems Optimization, Chemical Thermodynamics and Molecular Structure

Anaerobic Digestion and Biogas Production, Adsorption and biosorption for pollutant removal, Biofuel production and bioconversion, Membrane Separation Technologies, Machine Learning in Materials Science

High Entropy Alloys Studies, High-Temperature Coating Behaviors, Plasma Diagnostics and Applications, Machine Learning in Materials Science, nanoparticles nucleation surface interactions

Computational Drug Discovery Methods, EEG and Brain-Computer Interfaces, Metabolomics and Mass Spectrometry Studies, Machine Learning in Materials Science, ECG Monitoring and Analysis

Computational Drug Discovery Methods, Machine Learning in Bioinformatics, Protein Structure and Dynamics, Machine Learning in Materials Science, Genomics and Phylogenetic Studies

Inorganic Chemistry and Materials, Organometallic Complex Synthesis and Catalysis, Carbon dioxide utilization in catalysis, Machine Learning in Materials Science, Catalytic Processes in Materials Science

X-ray Spectroscopy and Fluorescence Analysis, Machine Learning in Materials Science, X-ray Diffraction in Crystallography, Synthesis and Characterization of Heterocyclic Compounds, Luminescence Properties of Advanced Materials

Machine Learning in Materials Science, ZnO doping and properties, X-ray Diffraction in Crystallography, Computational Drug Discovery Methods, Semiconductor Quantum Structures and Devices

Probabilistic and Robust Engineering Design, Thermal properties of materials, Advanced Multi-Objective Optimization Algorithms, Intermetallics and Advanced Alloy Properties, Machine Learning in Materials Science

Graphene research and applications, Electron and X-Ray Spectroscopy Techniques, Carbon Nanotubes in Composites, Laser Material Processing Techniques, Machine Learning in Materials Science

CO2 Reduction Techniques and Catalysts, Electrocatalysts for Energy Conversion, Ionic liquids properties and applications, Machine Learning in Materials Science, Advanced Chemical Physics Studies

Machine Learning in Materials Science, Metal and Thin Film Mechanics, ZnO doping and properties, Electronic and Structural Properties of Oxides, Carbon Nanotubes in Composites

Crystallography and molecular interactions, Machine Learning in Materials Science, Spectroscopy and Quantum Chemical Studies, X-ray Diffraction in Crystallography, Advanced Chemical Physics Studies