An Institute of National Importance under the Act of Parliament

Biology

  • Bioinformatics and Molecular Modelling based approaches for Protein Engineering. 

Chemical Engineering

  • Process Systems Engineering: Process design and control, Machine learning applications in process design, Synthesis and optimization of process systems, fault detection and isolation, cyber phys cal systems. 
  • Photocatalysis by mixed matrix membrane, Simulation of coupled transport in porous medium, Composite membrane for ion transport.
  • Latent heat based thermal storage systems, Thermodynamic performance analysis of solar stills, Turbine blade cooling: Modelling and simulation.
  • Renewable Energy Harvesting Systems: Modelling and Simulation; (Candidates with B.Tech. in Electrochemical engineering may also apply)
  • Data science and AI for catalyst and drug design. (Candidates with B. Tech. in Electronics and Instrumentation Engineering (EIE)/ Instrumentation and Control Engineering (ICE) and Electronics and Control Engineering with an interest/ exposure in process control/ data science areas of research may also apply) 
  • Surface Engineering: Surface functionalization of polymers, Surface modification of polymeric materials by plasma treatment, Plasma sterilization 
  • Two-phase flow: Hydrodynamic investigations on gas-liquid, liquid-liquid flow through millimeter channels.
  • Wastewater Treatment: Adsorption, Photocatalysis, Ozonation, and Bioremediation of various pollutants (e.g., dyes, POPs, AHCs, etc.)..
  • Air Pollution Control: Metal-organic frameworks and Agro-based adsorbents for VOC (i.e., BTEX) removal..
  • Bioenergy: Waste to Energy..
  • Adsorption and separation, Hydrogen energy generation and storage, Molecular simulations and density functional theory, Carbon capture..

Chemistry

  • Exploitation of smart Nanomaterials in Bio-application
  • Fluorescent Molecular Materials: Fabrication, Properties and Applications 
  • Materials Chemistry
  • Organization of materials using block copolymer templates
  • Sustainable nanomaterials for energy storage and harvesting
  • Photocatalytic hydrogen generation 
  • Advanced materials for waste water treatment; Environmental monitoring
  • Exploration of novel materials for electrochemical water splitting and CO2 reduction

Computer Science

  • Distributed Systems
  • Machine Learning

Earth Sciences

  • Computational Geomechanics, Hydraulic fracture propagation modelling, Meshfree methods.
  • Engineering Properties of rocks and soil; Rock mass characterization; Rock Failure Mechanism. 
  • Geothermal Energy
  • Well Logging
  • Geochemistry of Earth’s material
  • Geochemical Exploration of Uranium deposits
  • Tectonics, Supercontinent cycles and Crustal Evolution

Electrical Engineering

  • Power Quality Aspects in Distribution Power System and interactive Microgrid. 

Mathematics

  • Linear Algebra, Optimization techniques and their applications in Machine Learning/Deep Learning,Probability and Statistics, Inverse problems.
  • Numerical Methods for Hyperbolic Conservation Laws and Related Models . 

Mechanical Engineering  

  • Heat transfer and fluid flow analysis, Aerodynamic analysis of turbomachinery flows, Gas turbine blade cooling techniques, biofuel use in gas turbine, waste to energy conversion 
  • Computational fluid dynamics and its applications in oil and gas sector.
  • Solar energy
  • Desalination and water treatment
  • PV performance enhancement
    (Mostly interdisciplinary work hence candidates with specialization in mechanical/energy/environmental/chemical/electrical are preferred)

Petroleum Engineering

  • Drilling fluid design and analysis; Enhanced Oil Recovery, Well stimulation techniques
  • Gas hydrate, Enhance Oil Recovery and Hydraulic Fracturing Fluid Design.
  • Flow assurance problems; Heavy crude oil-in-water emulsion; Enhanced oil recovery; Drilling fluid design and analysis, Petroleum production problems.
  • Enhanced Oil Recovery; Reservoir Modelling and Simulation; Multiphase Flow and Transport Processes in Porous Media; machine learning and data analytics in EOR.
  • Reservoir Simulation
© 2019 Indian Institute of Petroleum and Energy (IIPE), Visakhapatnam