Following is a list of public talks I have given in the past.
| Title | Date | abstract |
|---|---|---|
| Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions | Apr 20, 2024 | Paper presentation at International Workshop on Natural Language-Based Software Engineering (NLBSE) 2024. |
| Data vs. Model Fairness Testing: An Empirical Study | Apr 20, 2024 | Paper presentation at International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest) 2024 workshop. |
| Data vs. Model Fairness Testing: An Empirical Study | Apr 18, 2024 | Poster presentation at International Conference of Software Engineering (ICSE) 2024. |
| Bridging the Gap Between Visual and Analytical Machine Learning Testing | Jun 2, 2023 | Lightening talk at SEN Symposium 2023. |
| Towards Understanding Machine Learning Testing in Practice | May 15, 2023 | Poster presentation at International Conference on AI Engineering (CAIN) 2023. |
| Data Validation with TFDV | May 16, 2022 | Guest lecture for Release Engineering for Machine Learning Applications course at TU Delft. Materials for the hands-on tutorial on using Tensorflow Data Validation, instructions & code can be found in this github repo. |
| Data Smells in Public Datasets | May 4, 2022 | Paper presentation at the International Conference on AI Engineering (CAIN) 2022. |
| Privacy Preserving Deep Learning | Sep 7, 2021 | A talk on Privacy Preserving Deep Learning (PPDL) I gave to my research group. It was largly based on a literature review I did during my Msc. |
| Research Workflow in Plaintext | Jul 12, 2021 | Talk on using Emacs and org-mode to craft a research workflow. |
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