Kishalay Mitra

Head of Design

Hyderabad, Telangana, India28 yrs 1 mo experience
Highly StableAI Enabled

Key Highlights

  • Over 160 published research papers.
  • Top 2% Scientists globally as per Stanford University.
  • Invited expert panel member for climate change initiatives.
Stackforce AI infers this person is a leading expert in Machine Learning and Optimization within Chemical Engineering.

Contact

Skills

Core Skills

Machine LearningOptimizationModelingBattery Management

Other Skills

ControlData AnalysisProcess EngineeringLithium Ion BatteryStochastic ProgrammingNeural NetworksFuzzy LogicCombinatorial OptimizationMathematical ModelingMatlabSimulationsAlgorithmsOptimizationsR&DLaTeX

About

1. Basic and applied research in the areas of Machine Learning & Artificial Intelligence, Modeling, Optimization, Control since 1995 - areas of research includes + Climate Change Parameter Prediction + Wind Farm Layout optimization and control under wind state Uncertainty + Bio Supply Chain in India with carbon credits + Battery management systems + Systems biology - Calcium Oscillations in Neuron / Ophthalmic Cells + Algorithms for Big Data analysis + Surrogate Optimization for computationally expensive programs + Multi-objective Optimal Control of Bio reactors Applications: Energy (Wind), CO2 sequestration, Biological Systems, Bio Supply Chain, Chemical Engineering (optimal control of polymerization reactors), Metallurgical Engineering (optimization of complex processes like continuous casting, sintering, carburization, induration etc.), Mineral processing (optimization of grinding and flotation), Mechanical Engineering (uncertainty quantification in CFD models) 2. ~160 international journal and conference papers, book chapters published 3. Research funded by leading government agencies e.g. Department of Science and Technology, Department of Biotechnology, National Supercomputing Mission, Ministry of Human Resource Development, UKIERI (UK), DRDO, TATA STEEL etc. 4. Visiting Professor to University of Washington, Seattle & Washington University at St. Louis, USA. 5. Collaboration with leading universities e.g. U Exeter, UK; U Washington, Seattle, USA; Washington U at St. Louis, USA; U Texas, Austin, USA; Deakin U, Australia; Swinburne University of Technology, Australia; National University of Singapore, Singapore. 6. Implemented many large scale ML, optimization and control projects in process plants + Selected among top 2% Scientists in the world (Stanford University list) + Research Excellence Award, IIT Hyderabad + Technical Excellence Award by India Tech Foundation and the Instrumentation & Control Journal (2001-2002) + BEST PAPER AWARD in ACODS, 2020 + BEST B TECH STUDENT PROJECT AWARD (2021) by INAE + GOKUL PhD students awarded with Prime Minister's Research Fellowship + BATTERY 2030+, a long-term roadmap prepared by the EU Horizon 2020 initiative, mentions our work in the Li+ Battery space that will open up new opportunities to explore new cell formats and designs in future. + Invited expert panel member @ Vaibhav Summit 2020 (Climate Change Vertical): an initiative by honorable Prime Minister of India. + Editorial Board, IJMMP (T&F), Institute of Engg. (Springer) + Joint Secretary, Control Society India

Experience

Indian institute of technology hyderabad

2 roles

Affiliated Faculty, Department of Artificial Intelligence

Oct 2022Present · 3 yrs 5 mos

Affiliated Faculty, Department of Climate Change

Feb 2022Present · 4 yrs 1 mo

Iit hyderabad

Head Of Department, Chemical Engineering, IIT Hyderabad

Nov 2020Oct 2023 · 2 yrs 11 mos

Indian institute of technology hyderabad

3 roles

Professor

Promoted

Sep 2020Present · 5 yrs 6 mos

  • My research interests lie in the interface of process optimization and machine learning. These areas include various facets of optimization e.g. classical, evolutionary, combinatorial optimization, optimization under uncertainty, optimal control, planning and scheduling of supply chain for various chemical, mineral processing and metallurgical process industries as well as the analysis of biological systems. We have been quite active in adopting the machine learning applications for process systems engineering and applying them for various vibrant areas like energy (wind, battery, bio-energy, CO2 sequestration etc.), materials, climate change to name a few.
Machine LearningOptimizationControlData AnalysisProcess Engineering

Associate Professor

Promoted

Apr 2016Sep 2020 · 4 yrs 5 mos

  • Research and teaching in the department of chemical engineering. My research interests lie in the interface of process optimization and data analysis. These areas include various facets of optimization e.g. classical, evolutionary, combinatorial optimization, optimization under uncertainty, optimal control, planning and scheduling of supply chain for various chemical, mineral processing and metallurgical process industries as well as the analysis of biological systems.
OptimizationData AnalysisProcess Engineering

Assistant Professor

Mar 2012Mar 2016 · 4 yrs

  • Research and teaching in the area of optimization and modeling of chemical engineering problems
OptimizationModeling

University of washington

2 roles

Visiting Associate Professor

Jun 2018Aug 2018 · 2 mos · Greater Seattle Area

  • Working in the MAPLE lab of Department of Chemical Engineering in the area of Lithium Ion Battery related projects

Visiting Associate Professor

Apr 2017Jul 2017 · 3 mos · Greater Seattle Area

Lithium Ion BatteryBattery Management

Washington university in st. louis

2 roles

Visiting Professor

May 2014Aug 2014 · 3 mos · Greater St. Louis

  • Visiting Professor in the Department of Energy, Environmental and Chemical Engineering

Visiting Professor

Jul 2013Aug 2013 · 1 mo · Greater St. Louis

  • Visiting Professor in the Department of Energy, Environmental and Chemical Engineering

Ge global research

Lead Engineer

Jul 2010Apr 2012 · 1 yr 9 mos

  • Optimization Lead

Tcs

2 roles

Supply Chain Optimization Lead

Jan 2003Jun 2010 · 7 yrs 5 mos

  • Supply Chain Planning & Optimization under Uncertainty Lead

Optimization Lead @ EIS Research

Jan 2003Dec 2006 · 3 yrs 11 mos

  • Optimization Group Lead

Tata research development and design center (of tcs)

Scientist

Jan 1997Jan 2002 · 5 yrs

  • Optimization Group Lead

Education

Indian Institute of Technology, Bombay

PhD — Chemical Engineering

Jan 2003Jan 2009

Indian Institute of Technology, Kanpur

M. Tech — Chemical Engineering

Jan 1995Jan 1997

National Institute of Technology Durgapur

BE — Chemical Engineering

Jan 1991Jan 1995

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