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

Projects

Research Interests

• Causal inference, especially causal discovery
• Combining causal discovery from quantitative data and causality extraction from text
• Text mining for economic policy and project evaluations
• Application of data mining and machine learning in economics and finance
• Financial network analysis

Teachings

• Praktikum Smart Data Analytics

Supervised Theses

Running

•  Investigating Combining Quantitative and Textual Causal Knowledge in Learning Causal Structure

Finished

Causal Inference

• Evaluation and Comparison of Causal Discovery Algorithms
• Accelerating PCMCI for Large Timeseries
• Inferring Causal Relations between Extreme Events (Co-supervised with Dr. Dominik Janzing)
• A Structured Review of Machine Learning Estimators of Causal Effects (in cooperation with inovex)
• Automatische Auswahl von maschinellen Lernverfahren für kausale Inferenz

Text analytics

• Document-Level Causality Extraction for Impact Evaluation
• NLP Methods to Identify Carbon Abatement Investments and the Impact of Carbon Prices ((in cooperation with ICIS)
• nywspaper – ML for News Comparison
• A Voting-Based Approach for Unsupervised Expert Recommendation on Bibliographic Data
• Development of an NLP process for the automated extraction of requirements from different sources based on a textual product idea Similarity Matrix Learning for Text Classification (in cooperation with FZI)
• 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)

Machine Learning

• Subsequence Time Series Clustering – a Review
• Predictive maintenance at risk: A churner warning system (in cooperation with SAP)
• 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 (in cooperation with SAP)

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