Welcome to the KNOWLEDGE DISCOVERY AND MINING research group

Core Team

• Prof. Dr. Christoph Schommer (Head)
• MSc. Federico Galli: The Unfair Commercial Practices Directive in the age of AI and personalization (PhD thesis; with Prof Sartor, University of Bologna, Italy - LAST-JD program)
• MSc. Ekaterina Kamlovskaya (PhD Candidate; DHH): Approaching Indigenous Australian History with Word Embeddings.
• MSc. Alejandro Raboso Campos (external PhD candidate; European Investment Bank): Artificial Intelligence for unstructured data analysis in fundamental value investments.
• Dr. Joshgun Sirajzade (PostDoc): Topic Modelling, Sentiment Analysis, Luxembourgish Language (Similarity Search Project with RTL).
• Dr Julianna Stropp (PostDoc): Taxon-­‐Time. Marie Curie Fellowship: Rediscovering biodiversity using big data to trace taxonomic knowledge through time.
• Dr Vladimir Despotovic (PostDoc): Speech, Natural Language Understanding
• Isabelle Schroeder (Secretariat)
• Rudrani Sharma: Building up Explainability of Multilayer Perception Neural Tetwork (with POST Luxembourg; Supervisor).
• Sebastien Valenne: From text to knowledge: Generating a knowledge graph from JIRA tickets and emails (Reviewer).
• Peter Hennen: Retailer Order Prediction Model with Market Basket Analysis (Supervisor).
• Mei Peng: Knoweldge Transfer: from synthetic data to real data (with IEE; Supervisor).
• Anna Felix: Sentiment, RTL News Messages, Project STRIPS (working title; Supervisor)
• Ze Wang: Deep Learning, Speech, and Parkinson (working title; Supervisor)
• Jingjing XU: Graph-based Mining (working title; Reviewer)
• Rosita Gerbo, University Torino (Erasmus Student): Master thesis in the field about Psychology and AI, for example a chatbot simulating sadness (working title; Supervisor)

Research Interests

• Data Science in general
• Computational Intelligence
• Machine Learning and Applications, in particular Deep Learning
• Emotion Detection in Texts
• Artificial Chatbots and Companions

Current Projects and Publications

• DHH - Digital History and Hermeneutics - Doctoral Training Unit (DTU Graduate School)
• STRIPS - A Semantic Search Toolbox for the Retrieve of Similar Patterns in Luxembourgish Documents
• ACC - Artificial Intelligence and Cognitive System Concepts

Current Courses

• Database Management I (BINFO)
• Database Management II (BINFO)
• Natural Language Processing (BICS) - Winter 2018/19
• Data Science for Humanities (BICS) - Summer 2019
• Information Retrieval and Learning (MICS)
• Knowledge Discovery and Data Mining (MICS)
• Machine Learning (MICS)
• Machine Learning (ISM - Space Master)
• Data Science (MMATH + Master in Logistics and Supply Change Management)

Former Members

• Dr. Siwen Guo (2019): Personalized Concept-Based Sentiment Analysis.
• Dr. Winfried Höhn (2018): Semi-automatisierte Annotation von digitalen Altkarten.
• Dr. Dimitrios Kampas (2016): Topic Identification considering word order in Markov Chains.
• Dr. Sviatlana Höhn (2016, 2018-2019): Data-driven repair models for text chat with language learners / Artificial Chatbots and Companions.
• Dr. Mihail Minev (2014): Feature Detection and Classification in Financial News.
• Dr. Jayanta Poray (2012): INACS -- An Intelligent and Adaptive Systems for Conversational Streams.
• Dr. Sascha Kaufmann (2010): CUBA -- Artificial Conviviality and User Behaviour Analysis.
• Dr. Maria Biryukov (2010): Methods of Extracting Meta-Information from Bibliographic Databases.
• Dr. Michael Hilker (2008): Network Security through Artificial Immunity with SANA.
• Dr. Alejandro Correa Bahnsen (2012-2014)
• Dr. Patrice Caire (11/2006 - 10/2007)
• Dipl.-Inf. Ralph Weires (04/2006 - 03/2008)
• MSc. Ben Schroeder (10/2005 - 09/2007)
• MSc. Fabien Bouleau