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USD 80 /hr

Optimization Expert | Reducing R&D Costs through Bayesian, Multi-objective & Simulation-Based Models

Profile Summary

I am a Senior Lecturer and researcher with over a decade of expertise in developing advanced computational frameworks for complex, real-world problems. My work specialises in Bayesian Optimisation and Simulation-Based Optimisation, particularly when dealing with expensive objectives and multiple conflicting criteria.

With a PhD in Mathematical Information Technology and a background in Chemical Engineering, I bridge the gap between theoretical data science and practical industrial application. I have led and contributed to major research projects funded by international bodies, including UK and Canadian development agencies and the National Environment Research Council.

Expertise & Services: 
Bayesian Optimisation: Designing efficient search strategies for "black-box" problems where simulations are expensive or noisy.
Multi-Objective Decision Making: Managing trade-offs in engineering and design, such as wind farm layouts and pump hydrodynamics.
Simulation-Based Models: Integrating machine learning with physical simulations (CFD, wake models) for digital twinning and process engineering.
Data-Driven AI: Developing surrogate models (specifically probabilistic machine learning models) to estimate healthcare surges and climate shocks.

I have published over 40 peer-reviewed articles and have served as an Associate or Guest Editor for leading journals. Whether you need to optimise an industrial process or design a robust experiment, I provide high-level statistical rigour and actionable insights.

Subject Matter Expertise

Services

Data & AI

Data & AI Predictive Modeling

Work Experience

Senior Lecturer

University of Exeter

March 2025 - Present

Lecturer

University of Exeter

July 2020 - Present

Postdoctoral Research Fellow

University of Exeter

February 2018 - July 2020

Postdoctoral researcher

Jyvaskylan Yliopisto

July 2017 - December 2017

Education

Doctoral Student (Mathematical Information Technology)

Jyvaskylan Yliopisto

September 2013 - June 2017

Masters in Chemical Engineering

Indian Institute of Technology, Hyderabad - India

September 2010 - August 2012

Certifications

Certification details not provided.

Publications

JOURNAL ARTICLE

Tinkle Chugh, Jake Hollins, Evangelos Papatheou, Keith Worden, Konstantinos Tatsis, Konstantinos Agathos (2026). A projection basis adaptation scheme for the update of reduced order models using vibration measurements . Mechanical Systems and Signal Processing.

Tinkle Chugh, Yaochu Jin, Xilu Wang, Hemant Singh, Alma Rahat (2024). Introduction to the Special Issue on Data-Driven Evolutionary Computation . ACM Transactions on Evolutionary Learning and Optimization.

Tinkle Chugh, Atanu Mazumdar, Jana Burkotová, Tomáš Krátký, Kaisa Miettinen (2024). Handling simulation failures of a computationally expensive multiobjective optimization problem in pump design . Engineering Applications of Artificial Intelligence.

Probabilistic Selection Approaches in Decomposition-Based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . IEEE Transactions on Evolutionary Computation.

Tinkle Chugh, Samia Saad, Akbar A. Javadi, Raziyeh Farmani (2022). Optimal management of mixed hydraulic barriers in coastal aquifers using multi-objective Bayesian optimization . Journal of Hydrology.

Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen(2022). A Visualizable Test Problem Generator for Many-Objective Optimization . IEEE Transactions on Evolutionary Computation. 26. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--11. Institute of Electrical and Electronics Engineers ({IEEE})

Tinkle Chugh, Jasdeep Kaur, Vikas K. Sangal(2020). Energy efficient global optimisation of reactive dividing wall distillation column . Indian Chemical Engineer. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--13. Informa {UK} Limited

Tinkle Chugh, Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray, Kaisa Miettinen(2019). A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization . IEEE Transactions on Evolutionary Computation. 23. (6). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1000--1014. Institute of Electrical and Electronics Engineers ({IEEE})

Tinkle Chugh, Yaochu Jin, Handing Wang, Dan Guo, Kaisa Miettinen(2019). Data-Driven Evolutionary Optimization: An Overview and Case Studies . IEEE Transactions on Evolutionary Computation. 23. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 442--458. Institute of Electrical and Electronics Engineers ({IEEE})

Tinkle Chugh, Karthik Sindhya, Jussi Hakanen, Kaisa Miettinen(2019). A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms . Soft Computing. 23. (9). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 3137--3166. Springer Nature

Chugh, T., Sindhya, K., Hakanen, J., Miettinen, K.(2019). A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms . Soft Computing. 23. (9). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 3137-3166.

Habib, A., Singh, H.K., Chugh, T., Ray, T., Miettinen, K.(2019). A Multiple Surrogate Assisted Decomposition Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization . IEEE Transactions on Evolutionary Computation.

Jin, Y., Wang, H., Chugh, T., Guo, D., Miettinen, K.(2019). Data-Driven Evolutionary Optimization: An Overview and Case Studies . IEEE Transactions on Evolutionary Computation. 23. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 442-458.

Kaur, J., Chugh, T., Sangal, V.K.(2019). Energy efficient global optimisation of reactive dividing wall distillation column . Indian Chemical Engineer.

Yaochu Jin, Kaisa Miettinen, Jussi Hakanen, Karthik Sindhya, Tinkle Chugh(2018). A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization . IEEE Transactions on Evolutionary Computation. 22. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 129--142. Institute of Electrical and Electronics Engineers ({IEEE})

Chugh, T., Jin, Y., Miettinen, K., Hakanen, J., Sindhya, K.(2018). A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization . IEEE Transactions on Evolutionary Computation. 22. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 129-142.

Tinkle Chugh, Nirupam Chakraborti, Karthik Sindhya, Yaochu Jin(2017). A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem . Materials and Manufacturing Processes. 32. (10). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1172--1178. Informa {UK} Limited

Chugh, T., Chakraborti, N., Sindhya, K., Jin, Y.(2017). A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem . Materials and Manufacturing Processes. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1-7.

Tinkle Chugh, Anitha Mogilicharla, Saptarshi Majumdar, Kishalay Mitra(2014). Multi-Objective Optimization of Bulk Vinyl Acetate Polymerization with Branching . Materials and Manufacturing Processes. 29. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 210--217. Informa {UK} Limited

Mogilicharla, A., Chugh, T., Majumdar, S., Mitra, K.(2014). Multi-objective optimization of bulk vinyl acetate polymerization with branching . Materials and Manufacturing Processes. 29. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 210-217.

CONFERENCE PAPER

Tinkle Chugh, Samuel Tebbet, George De Ath (2025). BEACON: Continuous Bi-objective Benchmark problems with Explicit Adjustable COrrelatioN control .

Tinkle Chugh, Jake Hollins, Kostantinos Agathos (2025). Nested Multi-objective Model Updating for an Aircraft Wingtail Digital Twin .

Tinkle Chugh, Frederico Leite Richardson, George De Ath (2024). Is greed still good in multi-objective Bayesian optimisation? .

R-MBO <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> .

Mono-surrogate vs multi-surrogate in multi-objective bayesian optimisation <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> .

Tinkle Chugh, George De Ath, Alma A. M. Rahat (2022). MBORE .

Chugh, T., Kratky, T., Miettinen, K., Jin, Y., Makonen, P.(2019). Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm . GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1147-1155.

Fieldsend, J.E., Allmendinger, R., Chugh, T., Miettinen, K.(2019). A feature rich distance-based many-objective visualisable test problem generator . GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 541-549.

Chugh, T., Allmendinger, R., Ojalehto, V., Miettinen, K.(2018). Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies . GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 609-616.

Chugh, T., Sindhya, K., Miettinen, K., Jin, Y., Kratky, T., Makkonen, P.(2017). Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system . 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1541-1548.

Hakanen, J., Chugh, T., Sindhya, K., Jin, Y., Miettinen, K.(2017). Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms . 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016.

BOOK CHAPTER

Tinkle Chugh, Atanu Mazumdar (2025). Data-Driven Multi-objective Optimisation with Uncertainty Quantification .

Tinkle Chugh, Franz Herm, Atanu Mazumdar (2025). Multi-objective Multi-agent Reinforcement Learning for Autonomous Driving in Mixed-Traffic Environments .

Tinkle Chugh, Alex Evans (2024). Integrating Bayesian and Evolutionary Approaches for Multi-objective Optimisation .

Tinkle Chugh, Alexander Evans (2023). Empirical Investigation of MOEAs for Multi-objective Design of Experiments .

Tinkle Chugh, Arnaud Liefooghe, Sébastien Verel, Jonathan Fieldsend, Richard Allmendinger, Kaisa Miettinen (2023). Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective .

Tinkle Chugh, Alma Rahat, Jonathan Fieldsend, Richard Allmendinger, Kaisa Miettinen(2022). Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature . 90--103Springer International Publishing

Tinkle Chugh, Atanu Mazumdar, Jussi Hakanen, Kaisa Miettinen(2020). An Interactive Framework for Offline Data-Driven Multiobjective Optimization . 97--109Springer International Publishing

Chugh, T., Sun, C., Wang, H., Jin, Y.(2020). Surrogate-assisted evolutionary optimization of large problems . Studies in Computational Intelligence. 833. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 165-187.

Chugh, T., Rahat, A., Volz, V., Zaefferer, M.(2020). Towards better integration of surrogate models and optimizers . Studies in Computational Intelligence. 833. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 137-163.

BOOK

Mazumdar, A., Chugh, T., Miettinen, K., López-Ibáñez, M.(2019). On dealing with uncertainties from kriging models in offline data-driven evolutionary multiobjective optimization . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11411 LNCS. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 463-474.

Chugh, T., Sindhya, K., Miettinen, K., Hakanen, J., Jin, Y.(2016). On constraint handling in surrogate-assisted evolutionary many-objective optimization . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9921 LNCS. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 214-224.

Chugh, T., Sindhya, K., Hakanen, J., Miettinen, K.(2015). An interactive simple indicator-based evolutionary algorithm (I-SIBEA) for multiobjective optimization problems . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9018. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 277-291.

OTHER

Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Jussi Hakanen, Yaochu Jin(2016). On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization . Parallel Problem Solving from Nature – PPSN XIV. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 214--224. Springer Nature

Tinkle Chugh, Karthik Sindhya, Jussi Hakanen, Kaisa Miettinen(2015). An Interactive Simple Indicator-Based Evolutionary Algorithm (I-SIBEA) for Multiobjective Optimization Problems . Evolutionary Multi-Criterion Optimization. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 277--291. Springer Science $\mathplus$ Business Media

level-one heading

Optimization Expert | Reducing R&D Costs through Bayesian, Multi-objective & Simulation-Based Models

Senior Lecturer

University of Exeter

Lecturer

University of Exeter

Postdoctoral Research Fellow

University of Exeter

Postdoctoral researcher

Jyvaskylan Yliopisto

Doctoral Student (Mathematical Information Technology)

Jyvaskylan Yliopisto

Masters in Chemical Engineering

Indian Institute of Technology, Hyderabad - India