Sumit Kumar Bishnu

• Head of the Process Systems Engineering & Data Science Department responsible for leading & guiding researchers on Process Systems Engineering & Machine Learning.
• Winner of the Project Ankur Competition – Organized by Government of India under Startup India Initiative.
• Led a project on modelling of units associated with Hydrogen Network of a leading Oil & Gas company by providing complete end to end Machine Learning based solution.
• Project Manager of Data Driven Modelling based optimization project of Milling Operations in sugar production plant.
• Leading an ongoing project of Asset Performance Monitoring involving development of software which will provide real time status of assets in industries. This project involves data collection from historian, live sensors and then providing analysis like Fault - Mode Identification & Remaining Useful Life for various assets of the plant.
• Worked with management to evaluate future projects
• Set timelines and coordinated deliverables for R&D projects with other teams of the organization.
• Collaborating with other fellow researchers to solve their data science and mathematical optimization problems.

• Completed administrative and research duties per professor request.
• Performed statistical, qualitative, and quantitative analysis.
• Contributed to professionally-written scientific paper for publication.

Project: Multi-Objective Optimization of combined Water-Energy Networks for Industrial Cities.

Advisors: Dr. Patrick Linke & Dr. Mahmoud El-Halwagi

• Focused on application of Process Systems Engineering in areas of Energy and Environment & software development.
• Applied concepts of Stochastic Algorithms namely Simulated Annealing & Tabu search to synthesize an optimal Water-Heat & Power network for Industrial Cities of Qatar.
• Formulated the optimization model for the problem and developed a customized solver to solve for an optimal solution.
• Demonstrated the effectiveness of this developed model & solver on case study of Ras Laffan Industrial City.
• This research was presented at Process System Engineering (PSE) conference at San Diego,2018.

Project: Development and Implementation of solution techniques for Inter-Plant Carbon Network Integration Problems

Advisors: Dr. Patrick Linke & Dr. Mahmoud El-Halwagi

• This work is a first attempt to address and define multi-period carbon network integration problem and devise a solution technique for finding an optimal solution with incorporation of carbon capture technologies.
• Formulated an optimization problem for finding the amount of CO2 to be captured in each period considering the changes in the industrial city.
• This work was accepted and presented at European Symposium for Computer Aided Process Engineering (ESCAPE) conference, 2015 at Copenhagen, Denmark.