Professor

Kishalay Mitra

A-310

···

PhD: Ph.D, IIT Bombay

Research Interests: Process Optimization, Uncertainty, Machine Learning, Supply Chain, Climate Change, Energy, Managing e-Waste

View Research Page

“Our research is a humble effort towards exploiting the fascinating journey of Machine Learning for solving socially relevant engineering problems and exploit it to the best of our society’s need."

Research Overview

The relentless endeavor in Global Optimization and Knowledge Unearthing Lab (GOKUL) is to develop novel methodologies in optimization/machine learning (ML) and apply them while solving various socially relevant and challenging engineering problems. Applications include optimization of wind/bio-energy/H2 energy production under uncertainty, new alloy discovery, monitoring climate change parameters, fast charging protocols in Li+ battery, optimal vaccine production, crop health monitoring etc.

Research Highlights

Robust design of wind farms

Criticized for inconsistent outputs, wind farms are designed through our novel forecasting, Large Eddy Simulation & ML based wake modeling and data-driven robust optimization techniques, providing realistic bounds on consistent power generation under uncertainty.

Deep Neural Networks for novel materials discovery

Unveiling process-structure-property relationship is deeply involved when explored by experimentation/high fidelity simulation. Deep learning based our inverse optimization approach can be winner.

India-wide bio supply chain design

Tapping huge biomass generated in India, this waste-to-wealth generation research talks about how to optimize the entire supply chain through techno-economic-environmental & uncertain factor considerations helping the country’s move towards energy self-reliant.

ML driven optimal vaccine production

Challenging batch operation, better control profiles for vaccine production can be achieved through our bioreactor semi-batch optimization offering by Bayesian inference.

Associated Projects

Ongoing

Application of Deep learning techniques for Robust Optimal Design of Integrated Water networks towards sustainable water management in Petroleum Refineries

Start Year: 2023

Sponsor: Ministry of Education, SPARC II

Co-PI: Dr.Raja Banerjee

Ongoing

Prediction of Microstructure & correlating it with mechanical properties for all grades of steel rolled in HSM

Start Year: 2022

Sponsor: Tata Steel limited

Completed

Development of AI based model for coke quality prediction and coal blend optimization

Start Year: 2021

Sponsor: M/s Tata Steel Limited

Completed

Machine Learning Based optimal Parameter estimation for Bla Sim

Start Year: 2019

Sponsor: Tata Steel limited

Completed

Optimization of mechanical properties of hot rolled steel using evolutionary as well as classical approaches

Start Year: 2016

Sponsor: TATA Steel

Ongoing

Fund for Improvement of S&T Infrastructure in Universities and Higher Educational Institutions(FIST) Grant (To strengthen the research facilties in the Department)

Start Year: 2021

Sponsor: DST-FIST

Ongoing

Robust Wind Energy Conversion System when deep learning meets sustainable energy utilization

Start Year: 2020

Sponsor: National Supercomputing Mission(NSM),Indian Institute of Science(IISC),Bangalore

Completed

Application of Artificial Intelligence and optical control in optimizing protein / vaccine production in bioreactor system : A step towards affordable biomolecule production

Start Year: 2019

Sponsor: DBT

Co-PI: Dr. Lopamudra Giri

Completed

Wind farm layout optimization under uncertainty using wind speed forecasting through probabilistic models and comparison with machine learning algorithms.

Start Year: 2019

Sponsor: MHRD

Co-PI: Dr. Raja Banerjee

Selected Publications

An Overview of Virus-Free Protein Expression in Insect Cells: Rapid Manufacturing Platform for Therapeutics

Jagadeesh Mahadevan; Kishalay Mitra; Lopamudra Giri

Journal: Biotechnology and BioengineeringYear: 2025DOI: 10.1002/bit.28961

Reduction of detailed CH4/NH3/H2 combustion mechanism using ANN-based global sensitivity analysis

S Roy; R K Pal; R S Mathew; Kishalay Mitra; S Banerjee

Journal: FuelYear: 2025DOI: 10.1016/j.fuel.2025.136644

Decoding the Challenge of Ammonia Combustion: A Hybrid Approach Considering CFD and AI

A Tadepalli; R S Mathew; R Banerjee; Kishalay Mitra

Journal: Energy, Environment and SustainabilityYear: 2025DOI: 10.1007/978-981-96-6628-7_6

Evaluating the combined effect of yaw misalignment and wind farm column misalignment on wake losses in finite wind farm arrays using LES

U D Tiwari; N S Ghaisas; Kishalay Mitra

Journal: Physics of FluidsYear: 2025DOI: 10.1063/5.0278295

Representative driving cycle-based framework to model indirect CO2 emissions from electric cars

A Boruah; D S Pawar; R Jain; Kishalay Mitra; P Chatterjee

Journal: Transportation Research Part D: Transport and EnvironmentYear: 2025DOI: 10.1016/j.trd.2025.104777

Biochemical Oscillations in HeLa Cells: Automated Time-Lapse Image Analysis and Two-Step Parameter Estimation

Satya Deepika Neelapala; Suman Gare; Vaibhav Dhyani; Kishalay Mitra; Soumya Jana; Lopamudra Giri

Journal: IEEE EMBC Conference ProceedingsYear: 2025DOI: 10.1109/EMBC58623.2025.11254818

Metaheuristic multi-objective optimization for ring-opening branched copolymerization of L-lactide

Geetu P Paul; Virivinti Nagajyothi; Kishalay Mitra

Journal: Polymer Engineering & ScienceYear: 2025DOI: 10.1002/pen.27146

Integration of Neural Networks and First-Principles Model for Optimizing l-Lactide Branched Polymerization

Geetu P Paul; Virivinti Nagajyothi; Kishalay Mitra

Journal: Journal of Chemical Theory and ComputationYear: 2024DOI: 10.1021/acs.jctc.4c01347

Satellite Image based Crop Classification Using Convolutional Autoencoder

Aswitha Tadepalli; Kishalay Mitra

Journal: GECCO 2024 Companion ProceedingsYear: 2024DOI: 10.1145/3638530.3654383

Machine Learning Assisted Metaheuristic Based Optimization of Mixed Suspension Mixed Product Removal Process

Ravi Kiran Inapakurthi; Sakshi S Naik; Kishalay Mitra

Journal: Advanced Machine Learning with Evolutionary and Metaheuristic TechniquesYear: 2024DOI: 10.1007/978-981-99-9718-3_9

Chemical Engineering

Chem Engg

Kishalay Mitra

Research Overview

Research Highlights

Robust design of wind farms

Deep Neural Networks for novel materials discovery

India-wide bio supply chain design

ML driven optimal vaccine production

Associated Projects

Application of Deep learning techniques for Robust Optimal Design of Integrated Water networks towards sustainable water management in Petroleum Refineries

Prediction of Microstructure & correlating it with mechanical properties for all grades of steel rolled in HSM

Development of AI based model for coke quality prediction and coal blend optimization

Machine Learning Based optimal Parameter estimation for Bla Sim

Optimization of mechanical properties of hot rolled steel using evolutionary as well as classical approaches

Fund for Improvement of S&T Infrastructure in Universities and Higher Educational Institutions(FIST) Grant (To strengthen the research facilties in the Department)

Robust Wind Energy Conversion System when deep learning meets sustainable energy utilization

Application of Artificial Intelligence and optical control in optimizing protein / vaccine production in bioreactor system : A step towards affordable biomolecule production

Wind farm layout optimization under uncertainty using wind speed forecasting through probabilistic models and comparison with machine learning algorithms.

Selected Publications

An Overview of Virus-Free Protein Expression in Insect Cells: Rapid Manufacturing Platform for Therapeutics

Reduction of detailed CH4/NH3/H2 combustion mechanism using ANN-based global sensitivity analysis

Decoding the Challenge of Ammonia Combustion: A Hybrid Approach Considering CFD and AI

Evaluating the combined effect of yaw misalignment and wind farm column misalignment on wake losses in finite wind farm arrays using LES

Representative driving cycle-based framework to model indirect CO2 emissions from electric cars

Biochemical Oscillations in HeLa Cells: Automated Time-Lapse Image Analysis and Two-Step Parameter Estimation

Metaheuristic multi-objective optimization for ring-opening branched copolymerization of L-lactide

Integration of Neural Networks and First-Principles Model for Optimizing l-Lactide Branched Polymerization

Satellite Image based Crop Classification Using Convolutional Autoencoder

Machine Learning Assisted Metaheuristic Based Optimization of Mixed Suspension Mixed Product Removal Process