← Read my short book on the Cambridge supervision system, called 'How to define an elephant'!
Supervisions are an ancient teaching system used by Cambridge and Oxford, in which students interact in very small groups (usually 2 or 3) with a subject tutor. I used to supervise many undergraduate courses at Cambridge.
Students and interns
1advised: I contributed nontrivially to the supervision of the student, but was not the primary supervisor.
Aaron Stockdill. Ph.D., 2017—present (ongoing) (advised1).
Automating representation change across domains for reasoning.
Samuel Lau. Microsoft Research Internship, 2020 (ongoing).
Supporting end-user code tweaking.
Henry Mattinson. Undergraduate dissertation, 2019.
Music generation in Microsoft Excel.
📜 Paper presented at NIME 2020
Sruti Srinivasa Ragavan. Microsoft Research Internship, 2018.
Evaluating spreadsheet comprehension with multiple representations.
Ruixue Liu. Microsoft Research Internship, 2018.
Comparing methods for personalising intelligent systems.
📜 Paper presented at ExSS 2019
Judith Borghouts. Microsoft Research Internship, 2017 (advised1).
Uncertainty in spreadsheets.
Laszlo Makk. Undergraduate dissertation, 2017.
Automated captioning of visualised data.
Ben P.W. Catterall. Undergraduate dissertation, 2016.
Parallelized Deep Learning for Convolutional Networks on the Intel Xeon Phi.
Tamas Stzanka-Toth. Undergraduate dissertation, 2016.
Cached Bug Prediction for Python Repositories on GitHub.
Ana Šemrov. Undergraduate dissertation, 2016.
Interactive exploration of latent semantic spaces.
🏆 Best poster award at OWCSC 2016
📜 Paper presented at Diagrams 2018
Tanvi S. Potdar. Undergraduate dissertation, 2016.
Semantic Markup of Heterogeneous Networks for Concept Evolution.
Lawrence F. Dior. Undergraduate dissertation, 2016 (advised1).
Visualising uncertainty of approximate database queries through sketchy rendering.
Mariana Mărășoiu. M.Phil. dissertation, 2015 (advised1).
Consultative sketching of statistical hypotheses.
🏆 Honourable mention at Eurographics/IEEE VGTC EuroVis 2016
Neil Satra. M.Eng. dissertation, 2015 (advised1).
Sketching Statistical Queries.
Maria Gorinova. Undergraduate dissertation, 2015.
Interactive Development Environment for Probabilistic Programming.
📜 Paper presented at ACM CHI 2016
🏆 Young researcher prize at OWCSC 2016
Abhishek Chander. Undergraduate dissertation, 2015.
Dynamic Visualisation of Data Based on Eye-Tracking.
📜 Paper presented at PPIG 2016
Roman Kolacz. Undergraduate dissertation, 2015.
Time-Lapse Based Weather Classification.
Neil Satra. Undergraduate dissertation, 2014 (advised1).
Mario Carreon. M.Phil. dissertation, 2014.
A study of the usage of the R statistical programming language based on mining a source code corpus.
- Co-designer of Interaction with machine learning, a course for the MPhil in advanced computer science at the University of Cambridge, 2020-21, 2018-19, 2017-18.
- Invited lecturer for Designing Decisions, a second-year "live project'' module in the BA design course at Goldsmiths, University of London, 2017
- Honorary demonstrator for An introduction to digital design for graduate students in the humanities and social sciences, an experimental course run in collaboration by the Computer Lab and the Cambridge Centre for Research in Arts, Social Science and Humanities (CRASSH), 2014.
Cambridge undergraduate courses supervised
© Advait Sarkar