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Profile

Dr Tinkle Chugh

Students

PhD students

  1. Jake Hollins (2022 – Present, Co-supervised with Dr Konstantinos Agathos at the department of Engineering). Topic: Bayesian Multi-Objective Optimisation and Multi-Fidelity Reduced-Order Models for Digital Twinning.
  2. Atanu Majumdar (2018 – 2022, Co-supervised with Prof Kaisa Miettinen, and Prof Jussi Hakanen at the University of Jyvaskyla, Finland). Thesis title: Novel Approaches for Offline Data-Driven Evolutionary Multiobjective Optimization. Thesis can be downloaded from https://jyx.jyu.fi/handle/123456789/78886. After PhD, Atanu started working as Postdoc researcher at the University of Jyvaskyla.

MSc Project Students

  1. Zhou DingCheng (2022/23, MSc Computer Science, co-supervised with Dr Cyril Morcrette in Maths department). Predicting Cloud Fraction with ML
  2. Chenming Fu (2022/23, MSc Computer Science). Image text quiz using multimodal deep learning
  3. Zhuohang Liu (2022/23, MSc Computer Science). Analysis of user reviews of food delivery apps with NLP
  4. Tejas Rajput (2022/23, MSc Data Science). Optimising Hyperparameters in CNNs using BO
  5. Vishnu (2022/23, MSc Cyber Security). Automated system for real-time cyber threat detection with machine learning
  6. Jiling Zhou (2022/23, MSc Cyber Security). Differential Privacy in DNNs
  7. Ashish Loknath (2022/23, MSc Cyber Security). Encryption and Decryption with Symmetric and Asymmetric Algorithms.
  8. Yogesh (2022/23, MSc Cyber Security). Steganography for hiding data in Images
  9. Alex Evans (2022/23, MSci Computer Science Programme). Multi-objective Bayesian Optimisation.
  10. Dingcheng Zhou (2022/23). Co-supervised with Dr Cyril Morcrette. ML in Climate.
  11. Aayush Shah (2021/22, co-supervised with Dr Katy Sheen at the Department of Geography). Project title: Can artificial intelligence produce an effective early warning system for climate?
  12. Lance Payne (2021/22, co-supervised with Dr Katy Sheen at the Department of Geography). Project title: Can artificial intelligence produce an effective early warning system for climate?
  13. Dinesh Sundaravadive (2021/22, co-supervised with Prof Guangtao Fu at the Department of Engineering). Project title: Flood risk prediction using machine learning.
  14. Gengxiao Li (2021/22, co-supervised with Prof Guangtao Fu at the Department of Engineering). Project title: Flood risk prediction using machine learning.
  15. Yixuan Zhang (2021/22, co-supervised with Prof Guangtao Fu at the Department of Engineering). Project title: Flood risk prediction using machine learning.
  16. Jack Page (2021/22). Jack was part of MSc Professional (Degree Apprenticeship) Programme.
  17. Sourav Chakarobarty (2021/22). Sourav was part of MSc Professional (Degree Apprenticeship) Programme.
  18. Bowen Xiao (2021/22): Bowen was part of MSc Professional (Degree Apprenticeship) Programme.
  19. Chriss Finn (2021/22): Bowen was part of MSc Professional (Degree Apprenticeship) Programme.
  20. Joshua Lillis (2021/22): Joshua was part of MSc Professional (Degree Apprenticeship) Programme.
  21. Shahidul Haq (2021/22): Shahidul was part of MSc Professional (Degree Apprenticeship) Programme.
  22. Endi Ymeraj (2020/21). Project title: Wind Farm Layout Optimisation Using Multiobjective Bayesian Over Sets. The work produced a conference paper (In the proceedings of the GECCO). Endi is working as Data Scientist at British Airways
  23. Deepak Saini (2020/21). Project title: Model Predictive Control of Wind Turbines. Deepak is working as a Software Developer at Saggezza-Infostretch
  24. Arif Malik (2020/21). Project title: Arif is working as Senior Python Developer at Bank of America Merrill Lynch
  25. Rusen Alp (2020/21).
  26. Tuli Saha (2020/21). Tuli was part of MSc Professional (Degree Apprenticeship) Programme.
  27. Simon Stride (2020/21). Tuli was part of MSc Professional (Degree Apprenticeship) Programme.
  28. Steven Hester (2020/21). Steven was part of MSc Professional (Degree Apprenticeship) Programme.
  29. Simon Stride (2020/21). Simon part of MSc Professional (Degree Apprenticeship) Programme.
  30. Rui Go (2020/21). Rui was part of MSc Professional (Degree Apprenticeship) Programme.

BSc Project Students

  1. Montgomery Batt (2022/23) - Spatio-Temporal Modelling
  2. Mobayode Fashanu (2022/23) - Machine learning and AI to support Children with learning disabilities
  3. Elsa Guenole-Harrison (2022/23, with G-Research London now) - Bayesian machine learning.
  4. Tsun Hui (2022/23) - Deep Fake
  5. Tanish Mehta (2022/23) - Sentiment analysis in Cricket
  6. Miles Ress (2022/23) - Spatio-Temporal Modelling
  7. Jack Stallard (2022/23, with Accenture London now) - ML to create Fantasy Football Team 
  8. Georgi Tarashev (2022/23) - Backtracking in DNN
  9. Nguyen Tu (2022/23, with a startup in Hungary now) - Weather Forecasting using Drones
  10. Thomas Bird (2022/23) - Wind farm layout optimisation
  11. Joseph Wilson (2022/23) - Financial management software for student clubs and societies
  12. Tom Boatman (2021/22). Machine Learning and Optimisation in Optimising Wind Farm Layout Design Under Uncertainty.
  13. Benjamin Narbett (2021/22). Machine learning and optimisation to engineering problems
  14. Alex Evans (2021/22). Machine learning and multi-objective optimisation in design of experiments. The work has been sent to the Artificial Evolution Conference 2022 to be held in Exeter.
  15. Habib Zain (2021/22). How the pandemic affected employee attrition, why it’s happening and how to predict it.
  16. Lilian Pintac (2021/22). Project title: Combining Multi-objective Evolutionary Algorithms with Machine Learning Algorithms to Solve Real World Engineering Problems
  17. Ashley Richter (2021/22). Project title: Neural Style Transfer.
  18. Jamie Nottage (2020/21). Project title: Bayesian framework to measure the correlation between traffic and COVID-19 cases
  19. Matthew (2020/21). Project title: Optimisation and Analysis of Neural Networks for AI Gameplay
  20. Nicklas Wenzler (2020/21). Project title: Importance of differential privacy.
  21. Benjamin Trotter: Investigating Trading Strategies via Multi-objective Optimisation