Modelling

Bharatkumar Suthar

Optimization and integration of water networks using systems theoretic approaches

The project will focus on recycle, regeneration and reuse of water in various water systems. A system theoretic approach based on formal modeling, optimization and control will be used to analyze existing networks and propose design guidelines for new networks. A strong background in mathematics, modeling, optimization and control is suggested.

Proposing Faculty
Research Area
  • Data Analysis
  • Modelling
  • Optimisation
  • Process Control

Advances in Systems Engineering using big data analytics and machine learning

The proposed project will advance the state-of-the-art in AI & ML based approaches towards solving niche problems associated with chemical engineering at different scales.

Proposing Faculty
Research Area
  • Data Analysis
  • Identification
  • Modelling
  • Optimisation
  • Process Control

Advances in Systems Engineering using big data analytics and machine learning

The proposed project will advance the state-of-the-art in AI & ML based approaches towards solving niche problems associated with chemical engineering at different scales.

Proposing Faculty
Research Area
  • Data Analysis
  • Identification
  • Modelling
  • Optimisation
  • Process Control

Single-cell data guided modeling of phenotype switching

 read more »

Proposing Faculty
Research Area
  • Biochemical Engineering
  • Biomolecular Engineering
  • Computational Biology
  • Data Analysis
  • Identification
  • Modelling
  • Optimisation
  • Reaction Engineering
  • Systems Biology

Design and control of divided wall columns

 read more »

Proposing Faculty
Research Area
  • Energy Integration
  • Modelling
  • Optimisation
  • Process Control

Topic 3: Development of synthetic biology tools for cyanobacteria.

Guide:  Prof. Pramod Wangikar.  read more »

Proposing Faculty
Research Area
  • Biochemical Engineering
  • Biomolecular Engineering
  • Data Analysis
  • Modelling
  • Optimisation
  • Systems Biology

Topic 2: Non-stationary 13C-Metabolic flux analysis of non-model organisms.

Guide:  Prof. Pramod Wangikar.  read more »

Proposing Faculty
Research Area
  • Biochemical Engineering
  • Biomolecular Engineering
  • Modelling
  • Systems Biology

State and parameter estimation of ensemble dynamics

 read more »

Proposing Faculty
Research Area
  • Computational Biology
  • Data Analysis
  • Identification
  • Modelling
  • Optimisation
  • Systems Biology

Integrated design and control of mixed energy integration

Mixed (combined direct and indirect integration) is an optimal way of designing energy-integrated batch process systems. While such configurations propose the maximum energy savings, these benefits can only be practical if such systems are robust to typical disturbances encountered by batch processes. This project aims to target this issue by considering an integrated design and control approach wherein operational considerations are incorporated right during the design stage. The resulting designs can therefore provide a good trade-off between economic benefits and ease of operation.  read more »

Proposing Faculty
Research Area
  • Energy Integration
  • Modelling
  • Optimisation
  • Process Control