R & D Initiatives with  Industry

The group is also actively engaged in the following Research and Development programmes with Indian Industries.

  • High Density Polyethylene Reactor (Source of Problem; NOCIL)
    Apart from modeling and simulation, the group is presently working at a new research and development problem on tracking discontinuities efficiently in DAE modeled by the HDPE. 
    (Refer : IMG-RR-1999-1, IMG-RR-1999-3)
  • Emulsion Polymerization (with Hindustan Lever Limited)
    Modeling, Simulation and the related mathematical questions. 
    (Refer:  M.Sc.-Project-Report-2001-1, B.Tech.-Project-Report-2000-1)
  • Modeling and Control of a Crystal Size Distribution in an Industrial Crystallizer. (interested Industry: HCL, Foxboro in Chennai).
    (Refer : M.Sc.-Project-Report-2001-1, B.Tech.-Project-Report-2000-1)
  • Online Optimization : Algorithms and Implementation
    It has been observed that in Error Detection Module, one can use Neural Network Algorithms in conjunction with Genetic Algorithm to obtain faster and more accurate convergence. It is perceived that this approach will lead to some interesting problems involving differential equations, optimization and numerical analysis-culminating to new modular development techniques pertaining to On-Line Optimization. 
    (Refer : IMG-TR-2000-3,  IMG-TR-2000-5, M.Sc.-Project-Report-2000-5 )
  • Financial Engineering
    The main focus is on the Numerical  Simulation of Option Pricing Models and validating it using data from Indian Financial Markets. By adopting the existing models to compute the volatility (roughly the market trend), some experiments were conducted on  the  data obtained from some Indian  companies and the option pricing using Black -Scholes Model has been computed with the help of  finite difference schemes. 
    (Refer : M.Sc.-Project-Report-2000-8 )
  • Bus Scheduling
    It concerns with the problem of scheduling a fleet of buses to a given set of trips encountered by BEST in Mumbai. As a preliminary step, a single depot vehicle scheduling problem has been formulated as Zero One integer linear programming  problem and is solved using primal-dual algorithm. The model is tested on real world data obtained from BEST. 
    (Refer : IMG-TR-2000-5 )