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Dr Tinkle Chugh

Lecturer (E&R)


Office: Innovation Centre Phase 1, Room 13

Bio: Hello, I am Tinkle Chugh, working as Lecturer at the Department of Computer Science, University of Exeter, UK. Between Feb 2018 and June 2020, I worked as Postdoctoral Research Fellow in the BIG data methods for improving windstorm FOOTprint prediction (BigFoot) project. I received my Doctor of Philosophy (Ph.D.) in Mathematical Information Technology in 2017 from the University of Jyvaskyla, Finland and Master of Technology (M.Tech) in Chemical Engineering in 2012 from Indian Institute of Technology Hyderabad, India.

My research interests are in evolutionary optimisation, Bayesian optimisation, Multi and Many-objective optimisation, Robust optimisation, Benchmarking for optimisation algorithms, latencies in multi-objective optimisation, uncertainty quantification, Bayesian inference, and applications including wind farm layout optimisation, design of centrifugal pumps, time series modelling, and polymerisation.

Google Scholar profile

If you are interested in doing your Undergraduate, Master or PhD project with me, feel free to contact me for a discussion.

Check these links if you are looking for a PhD position



1. South Asia Development Fund (2021, University of Exeter), £3600 - PI. I received an award of £3600 to support the travelling of my Indian collaborators to visit the University of Exeter. The award aimed to strengthen the existing collaboration on designing wind farms using machine learning techniques.

2. National Environment Research (NERC) Fellow (2020 - 2021, NERC UK) - £10000 - PI. I received a grant of £10000 as a NERC fellow in the Constructing a Digital Environment Programme funded by NERC, UK. The programme aimed to use machine learning tools in promoting citizen science, visualization and decision making.

3. Research-led Initiative award (2019, University of Exeter) - £1000 - PI. I received an award of £1000 from the University of Exeter under the Research-led initiative programme to organize a workshop on Multiple Criteria Decision Making. The workshop attracted more than 40 participants in different disciplines and received positive feedback.

Teaching and Supervision

1. Coordinator and Lecturer of COMM510 (2020/21 - Present): Multi-objective Optimisation and Decision Making module in MSc Computer Science Programme

2. Coordinator and lecturer of COM3023 (2020/21 - 2022/23 ): Machine learning and AI module in BSc Data Science Programme

3. Coordinator and lecturer of ECMM459 (2020/21 - Present): Statistical Modelling module in MSc Data Science (Professional) Degree Apprenticeship Programme 

4. Supervisor in ECM3401 (2020/21 - Present): Individual Literature Review and Project in the BSc Computer Science Programme

5. Supervisor in ECMM433 (2020/21 - Present): Data Science Project 1 in the MSc Data Science (Professional) Degree Apprenticeship Programme

6. Supervisor in ECMM451, ECMM453, ECMM465 (2020/21 - Present): MSc (Computer Science, Data Science and Cyber Security) Research Project

Awards and Membership

1. Best paper award (2017). I received the best paper award for my paper 'Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system' at the IEEE Congress on Evolutionary Computation (IEEE CEC) Conference, San Sebastian, Spain. Press release at the University of Jyvaskyla and Press release at the University of Surrey

2. Academic Excellence Award (2012). I received the Academic Excellence Award from former President of India Dr APJ Abdul Kalam at the Indian Institute of Technology Hyderabad, India.

3. Member of International Society on Multiple Criteria Decision Making (2014 - Present)

Invited Talks

  1. Mono-surrogate vs Multi-surrogate at the workshop on Multi-objective Bayesian Optimisation, University of Warwick (Feb 27, 2023)
  2. Multi-objective Bayesian Optimisation and Applications at the Data Science, Machine Learning and Optimisation in Support of the Society of the Future workshop at PPSN 2022 (Sep 11, 2022)
  3. Multi-objective Bayesian Optimisation over Sets at the Multi-objective Optimisation Group, University of Jyvaskyla, Finland (Dec 7 2021, online)
  4. Conflicting Expensive Objectives: Theory and Applications of Machine Learning + Optimisation at the Artificial Intelligence Society, University of Exeter, UK (Dec 14, 2020, online)
  5. Calibrating Citizen Weather Stations at the National Oceanographic Center, UK (May 13, 2020, online)
  6. Evolutionary Computation and Applications at the Met Office, Exeter, UK (January 31, 2019)
  7. Handling Expensive Multiple Objective with Different Latencies at the University of Surrey, UK (April 11, 2018)
  8. Evolutionary Computation in Practice at the Aalto University, Finland (November 24, 2017)

Workshop and Reading Group Organisation

  1. Workshop on Surrogate-assisted Evolutionary Computation at the GECCO conference (2022 - Present) with Alma Rahat, Richard Everson, Handing Wang and Yaochu Jin
  2. Reading Group on Evolutionary Computation and Machine Learning (2020 - Present) at the University of Exeter with George De Ath
  3. Workshop on Evolutionary Computation + Multiple Criteria Decision Making at the GECCO conference (2019 - Present) with Richard Allmendinger and Jussi Hakanen (and Julia Handl from 2023 onwards)
  4. Workshop on Evolutionary Algorithms with Uncertainty at the GECCO conference (2021) with Khulood Alyahya, Jonathan Fieldsend and Juergen Branke
  5. Workshop on Multiple Criteria Decision Making at the University of Exeter (2019)
  6. Workshop on Data Science meets Multiple Criteria Decision Making at the International Conference on MCDM (2019) with Richard Allmendinger and Jussi Hakanen
  7. Workshop on Data-driven Optimization and Applications at the IEEE CEC conference (2017) with Handing Wang and Chaoli Sun

Other Activities

1. Reviewer of journals IEEE Transactions on Evolutionary Computation, IEEE Computational Intelligence Magazine, Soft Computing, Applied Soft Computing, Materials and Manufacturing Processes, Information Sciences, IEEE Transactions on Emerging Topics in Computational Intelligence, Natural Computing, Journal of Global Optimization, Complex and Intelligent Systems, IEEE Transactions on Cybernetics, and conferences GECCO, IJCNN, MCDM, and IEEE SSCI

2. Invited to participate in the Dagstuhl Seminar on Multi-objective Optimisation on a Budget (Sep 3-8, 2023)

3. Invited to participate in special group workshop on MACODA: Many Criteria Optimization and Decision Analysis (16 - 20 Sep 2019) in Leiden, Netherlands

4. Participated in Doctoral Network Training Cruise Seminar (arranged by Prof. Ahti Salo, Aalto University School of Science) from Helsinki to Tallinn, 29-30 May 2017

5. Visited Prof. Yaochu Jin at the University of Surrey, the UK as a Ph.D. student in July-August 2016 and September-November 2015

6. Invited to attend in workshop on surrogate-assisted multi-criteria optimization (SAMCO) from Feb 29 to March 4, 2016, Leiden, Netherlands

7. Participated in EURO PhD School on MCDM from Feb 17 to Feb 28, 2014, Madrid, Spain