Doctoral Colloquium AI & Data Science: Sowmya Chandrasekaran’s Presentation

Sowmya Chandrasekaran gave a presentation on her PhD topic “A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity” at the doctoral colloquium “AI & Data Science”. The doctoral colloquium is an event of the department “Informatics and Data Science” of the doctoral college “PK NRW”.


The lecture took place on March 20, 2024 in the rooms of the Institute for Data Science, Engineering, and Analytics at the TH Köln, Campus Gummersbach.
S. Chandarasekaran is supervised by Prof. Dr. Thomas Bartz-Beielstein, Prof. Dr. Dietlind Zühlke, and Prof. Dr. Rainer Herpers. She has already published several papers on this topic on applications in the field of drinking water monitoring:

  • Chandrasekaran, Sowmya; Bartz-Beielstein, Thomas:
    A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity
    In: Applications of Evolutionary Computation: 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings / Correia, João; Smith, Stephen; Qaddoura, Raneem (Hrsg.). – 26th International Conference on Applications of Evolutionary Computation, EvoApplications 2023, held as part of EvoStar 2023; Brno,Czech; 12.04.-14.04.2023 – In: Lecture Notes in Computer Science – Springer, Band 13989, S. 426 – 441. https://link.springer.com/chapter/10.1007/978-3-031-30229-9_28
  • Bartz-Beielstein, Thomas; Mersmann, Olaf; Chandrasekaran, Sowmya:
    Ranking and Result Aggregation
    In: Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide / Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.). – Singapore: Springer Nature, 2022-12-19, S. 121 – 161. https://link.springer.com/chapter/10.1007/978-981-19-5170-1_5
  • Bartz-Beielstein, Thomas; Chandrasekaran, Sowmya; Rehbach, Frederik:
    Case Study III: Tuning of Deep Neural Networks
    In: Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide / Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.). – Singapore: Springer Nature, 2022-12-19, S. 235 – 269. https://link.springer.com/chapter/10.1007/978-981-19-5170-1_10
  • Bartz-Beielstein, Thomas; Chandrasekaran, Sowmya; Rehbach, Frederik:
    Case Study II : Tuning of Gradient Boosting (xgboost)
    In: Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide / Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.). – Singapore: Springer Nature, 2022-12-19, S. 221 – 234. https://link.springer.com/chapter/10.1007/978-981-19-5170-1_9
  • Bartz-Beielstein, Thomas; Chandrasekaran, Sowmya; Rehbach, Frederik; Zaefferer, Martin:
    Case Study I: Tuning Random Forest (Ranger)
    In: Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide / Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.). – Singapore: Springer Nature, 2022-12-19, S. 187 – 220. https://link.springer.com/chapter/10.1007/978-981-19-5170-1_8
  • Zaefferer, Martin; Chandrasekaran, Sowmya:
    Case Study IV : Tuned Reinforcement Learning (in PYTHON)
    In: Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide / Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.). – Singapore: Springer Nature, 2022-12-19, S. 271 – 281. https://link.springer.com/book/10.1007/978-981-19-5170-1
  • Rebolledo Coy, Margarita Alejandra; Chandrasekaran, Sowmya; Bartz-Beielstein, Thomas:
    Sensor Placement for Contamination Detection in Water Distribution Systems 2020. https://arxiv.org/abs/2011.06406
  • Bartz-Beielstein, Thomas; Doerr, Carola; van der Berg, Daan; Bossek, Jakob; Chandrasekaran, Sowmya; Eftimov, Tome; Fischbach, Andreas; Kerschke, Pascal; Lopez-Ibanez, Manuel; Malan, Katherine M.; Moore, Jason H.; Naujoks, Boris; Orzechowski, Patryk; Volz, Vanessa; Wagner, Markus; Weise, Thomas et al: Benchmarking in Optimization : Best Practice and Open Issues. https://arxiv.org/abs/2007.03488
  • Rebolledo Coy, Margarita Alejandra; Chandrasekaran, Sowmya; Bartz-Beielstein, Thomas:
    Technical Report: Flushing Strategies in Drinking Water Systems. 2020. https://arxiv.org/abs/2012.13574
  • Chandrasekaran, Sowmya; Rebolledo Coy, Margarita Alejandra; Bartz-Beielstein, Thomas:
    EventDetectR-An Open-Source Event Detection System. 2020. https://arxiv.org/abs/2011.09833