Past Interns / Visitors

Past Onsite Interns at ReaLearn

• Phuriwat Angkoondittaphong (Undergratudate Student, Faculty of Information and Communication Technology, Mahidol University. From June 1, 2024 To June 25, 2024)

  • Topic: Quantum Embedding of Knowledge for Machine Learning Applicatiions

  • Areas: Knowledge Representation and Reasoning, Representation Learning

• Chayanee Junplong (Master Student in Computer Science (International Program), Faculty of Information and Communication Technology. From December 1, 2023 To March 31, 2024)

  • Topic: Explaining the Predictions of Machine Learning-based Code Clone Detection Techniques

  • Areas: Post-hoc Explanation, Software Engineering

• Yizhi Pan (Undergraduate Student, Hangzhou Medical College. From February 1, 2024 To February 29, 2024)

  • Topic: Fairness: Discriminating Algorithms (Reading)

  • Areas: FAccT AI & ML

• Han Shu (Undergraduate Student, Hangzhou Medical College. From February 1, 2024 To February 29, 2024)

  • Topic: Algorithmic Privacy: The Power of Randomization (Reading)

  • Areas: FAccT AI & ML

• Suphawit Xu (Undergraduate Student, Faculty of Information and Communication Technology, Mahidol University. From December 18, 2023 To January 15, 2024)

  • Topic: Evaluation of Interpretable Machine Learning Models for Explaining Black-Box Model Predictions

  • Areas: Post-hoc Explanation, Machine Learning

• Chavakan Yimmark (Undergraduate Student, Faculty of Engineering, Mahidol University. From May 15, 2023 To August 12, 2023)

  • Topic: Towards Representation Learning of Knowledge Graph with Set-Theoretic Semantics

  • Areas: Description Logic, Ontology, Knowledge Representation Learning

  • Projects: Py-Discord-Hook-Module, Re-Impl-OWL2Vec*

• Nitit Ngamphotchanamongkol (Undergraduate Student, Faculty of Information and Communication Technology, Mahidol University. From June 15, 2023 To August 15, 2023)

  • Topic: Mining Bipolar Argumentation Framework from Text Data

  • Areas: Argument Mining, Natural Language Processing 

• Runchana Seesung (Undergraduate Student, Faculty of Information and Communication Technology, Mahidol University. From July 1, 2023 To August 15, 2023)

  • Topic: Explaining Concept Similarity in Description Logic EL

  • Areas: Description Logic, Ontology, Explainable AI

• Siranut Akarawuthi (Undergraduate Student, Faculty of Information and Communication Technology, Mahidol University. From July 1, 2023 To August 15, 2023)

  • Topic: Explainable Queries in Virtual Knowledge Graph

  • Areas: Description Logic, Ontology-based Data Access, Explainable AI

  • Additional Information: Personal Website

• Khadija Meghraoui (PhD Student, Institut Agronomique et Vétérinaire Hassan-II. From Feb 1, 2023 To Feb 28, 2023)

  • Topic: The Utilization of Machine Learning with Domain Knowledge for Crop Yield Prediction from Time Series Data

  • Areas: Ontology Reasoning, Machine Learning, Hybrid AI

  • Status: Co-operating after returning her home university

Past Online Interns at ReaLearn

• Phuriwat Angkoondittaphong (Undergratudate Student, Faculty of Information and Communication Technology, Mahidol University. From December 1, 2023 To April 30, 2024)

  • Topic: Defeasible Description Logics: Proof theory and Applications

  • Areas: Knowledge Representation and Reasoning, Computational Logic

• Pachara Wongthanakarn (Undergraduate Student, Sirindhorn International Institute of Technology, Thammasat University. From December 1, 2023 To April 30, 2024)

  • Topic: Metrics for Evaluating Ontology Embedding

  • Areas: Representation Learning, Knowledge Representation, Machine Learning

• Kazuki Takashima (Undergraduate Student, Ryukoku University. From April 1, 2023 To August 1, 2023)

  • Topic: Towards Robust Visual Reasoning with Neural-Symbolic Learning

  • Areas: Hybrid AI, Computer Vision, Answer Set Programming

• Suphawit Xu (Undergraduate Student, Faculty of Information and Communication Technology, Mahidol University. From April 1, 2023 To July 19, 2023)

  • Topic: Learning a Surrogate Model for Explaining a Neural Network Model

  • Areas: Post-hoc Explanation, Machine Learning

Guest Professors / Researchers 

• Dr. Nguyen Trung Tin, Le Quy Don Technical University (DBLP). From December 2, 2023 To December 28, 2023 

  • Topic: Reliable AI in the Age of Big Data on Youtube Analysis

  • Areas: Information System, Big data analytics, Big data management