Ployplearn Ravivanpong (Gib)
Karlsruhe Institute of Technology (KIT)
Campus Süd
Institute of Telematics
Chair for Pervasive Computing Systems / TECO
Vincenz-Prießnitz-Straße 1
76131 Karlsruhe
Germany
Building 07.07, Room : 202
email: ravivanpong(at)teco.edu
Short CV
| 2018 – present | PhD Candidate |
| 2017 – present | Research Associate at TECO |
| 2016 – 2017 | Pricing Analyst at GFKL Financial Services GmbH (Part of Lowell Group) |
| 2014 | Graduation with Master (MSc) of Economics Engineering at Karlsruhe Institute of Technology (KIT) |
| 2011 | Graduation with Bachelor (BSc) of Economics at University of Mannheim |
| 2008 | Graduation with Bachelor (BSc) of Electrical Engineering at University of Applied Science Mannheim |
Projects
| 2017 – present | Data Scientist @ Smart Data Solution Center (SDSC-BW) – Smart Data Analytics for Small and Medium Enterprises |
Research Interests
- Causuality, causal model, inference and effect estimation
- Text mining for economic policy and project evaluations
- Application of data mining and machine learning in economics
- Financial network analysis
Supervised Theses
Open
Running
- A Structured Review of Machine Learning Estimators of Causal Effects
- Automatische Auswahl von maschinellen Lernverfahren für kausale Inferenz
- Similarity Matrix Learning for Text Classification
Finished
- Predictive maintenance at risk: A churner warning system
- Text Mining Tool for Literature Survey on Data Mining Applications in Finance and Economics
- TxT-Fresh – Automatisches Feature-Extraction-Modul für die Textanalyse (co-supervising with Dr. Ngo)
- Will They Block Each Other? – A ‘block’ Prediction System for Live Chat (co-supervising with Dr. Ngo)
- Konzeption eines regelunterstützten, interaktiven Annotationssystems zur Klassifikation kritischer Geschäftsobjekte
Past Seminar Topics
Mobile Computing and Ubiquitous Technologies Seminar
- Structure Learning
- Review of Causal Forests
- Correlation vs. Causality
- Literature Survey on Data Mining Techniques in Economics
- Basics of Expert Systems
Designing and Conducting Experimental Studies Seminar
- Bedeutung von Machine-Learning in der Volkswirtschaftslehre – Expert Interviews
PUBLICATION
2022
Towards Extracting Causal Graph Structures from Trade Data and Smart Financial Portfolio Risk Management
Ravivanpong, P.; Riedel, T.; Stock, P.
2022. EDBT/ICDT-WS 2022: Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference ; Edinburgh, UK, March 29, 2022. Ed.: M. Ramanath, CEUR-WS.org
Ravivanpong, P.; Riedel, T.; Stock, P.
2022. EDBT/ICDT-WS 2022: Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference ; Edinburgh, UK, March 29, 2022. Ed.: M. Ramanath, CEUR-WS.org
2021
Correction to: Examining the usability of touchscreen gestures for adults with DS
Cáliz, D.; Ravivanpong, P.; Schankin, A.; Jadán-Guerrero, J.; Caraguay, W.; Arellano, L.
2021. Journal of reliable intelligent environments, 7 (4), Art.-Nr. 381. doi:10.1007/s40860-021-00145-2
Cáliz, D.; Ravivanpong, P.; Schankin, A.; Jadán-Guerrero, J.; Caraguay, W.; Arellano, L.
2021. Journal of reliable intelligent environments, 7 (4), Art.-Nr. 381. doi:10.1007/s40860-021-00145-2
Examining the usability of touchscreen gestures for adults with DS
Cáliz, D.; Ravivanpong, P.; Schankin, A.; Jadán-Guerrero, J.; Caraguay, W.; Arellano, L.
2021. Journal of reliable intelligent environments, 14. doi:10.1007/s40860-020-00122-1
Cáliz, D.; Ravivanpong, P.; Schankin, A.; Jadán-Guerrero, J.; Caraguay, W.; Arellano, L.
2021. Journal of reliable intelligent environments, 14. doi:10.1007/s40860-020-00122-1