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Team

PostDocs

  • Dr. Salima Lamsiyah, Researcher in Natural Language Processing, ML

PhD candidates

  1. MSc. Ali Mert Gurkan: Distributed Ledger Technologies Beyond Financial Applications: eDemocracy and New Forms of Governance. LAST-JD Graduate School. co-tutuelle with University of Bologna, Prof. Monica Palmirani. Supervisor.
  2. MSc. Prince Yaw Gharbin. Creative historical Stories with Illustrations for Digital History, using Natural Language Processing and Deep/Machine learning models. Supervisor. / D4H - Deep Data Science of Digital History.
  3. MSc. Alejandro Raboso Campos (external PhD candidate; European Investment Bank). Artificial Intelligence for unstructured data analysis in fundamental value investments.
  4. MSc. Aria Nourbaksh : Artificially assisted collaboration with a chatbot for working and learning.

    Co-Supervisions:
  5. Msc. Jingjing Xu: The research topic is to develop a leading knowledge-graph based question-answering (KG-QA) approach by combining the previous approaches for QA into one coherent framework. Co-Supervisor. Under main supervision of Prof. Pascal Bouvry.
  6. MSc. Tatjana Kaufman. Coding as source. co-supervisor. / D4H - Deep Data Science of Digital History. Main supervisor: Prof. Valêrie Schafer
  7. MSc. Paul Meder: BigTexts - A Distributed Graph Database for Large-Scale Text Analytics. co-supervision. Under main supervision of Prof. Martin Theobald.
  8. MSc. Giuseppe Pisano: Legal reasoning: argumentation and explanation. Under main supervision of Prof Leon van der Torre.
  9. MSc. Julia Göke. Cloud-Native Shared Authority: AI Enhanced Public Participation in Digital History. Main Supervision: Prof. Gerben Zaagsma, C2DH.
  10. MSc. Marta Sofia Rodrigues Oliveira : Joint embeddings of multi-model data for analyzing brain an cognition. Main Supervision: Prof. Jorge Goncalves, LCSB.
  11. MSc. Enora Renée Arth : A methodology for Subjective Handling Variable Analysis. Main Supervision : Dr. Roderick McCall, LIST.

Guest Researcher

  • Prof. Dr. Yolanda Spinola, Guest Professor, UNiversity of Sevilla , 18 April 2023 -30 November 2023.
  • Dr. Jessica Cavalaglio Camargo Molano, University Rome Uninettuno 1 April 2023 - 31 December 2023

Former PhD Candidates

Supervisor

  1. Dr. Yasaman Yousefi: Title : "The Quest to Fairness in Algorithmic Decisions: Ethical, Legal and Technical Solutions". University of Luxembourg and University of Bologna.
  2. Dr. Faria Ferooz: "Legal Knowledge Modelling of Medieval Manuscript of History of Law: Linked Open Data of Cultural Heritage". University of Luxembourg and University of Bologna.
  3. Dr. Nina Hossini-Kivanani. "Advancing Dementia Screening Through Handwriting Analysis and Data Augmentation: A Study of Off-Line and On-Line Drawing Tasks".
  4. Dr. Daniel Karpati (2025):"REMEDIS – Interdisciplinary Considerations and Consequences related to the Development of an AI-supported Medication Dispenser".
  5. Dr. Ekaterina Kamlovskaya (2021): Approaching Indigenous Australian History with Text Mining methods. DHH Graduate School).
  6. Dr. Federico Galli (2021): The Unfair Commercial Practices Directive in the age of AI and personalization. University of Bologna, Italy - LAST-JD program)
  7. Dr. Siwen Guo (2019): Deep Neural Networks for Sentiment Analysis with Information Decay.
  8. Dr. Winfried Höhn (2018): Semiautomatische Annotation von digitalisierten Altkarten.
  9. Dr. Dimitrios Kampas (2016): "Topic Identification considering word order in Markov Chains".
  10. Dr. Sviatlana Höhn (2016): "Data-driven repair models for text chat with language learners". Supervisor.
  11. Dr. Mihail Minev (2014): "Feature Detection and Classification in Financial News".
  12. Dr. Jayanta Poray (2012): "INACS -- An Intelligent and Adaptive Systems for Conversational Streams".
  13. Dr. Sascha Kaufmann (2010): "CUBA -- Artificial Conviviality and User Behaviour Analysis".
  14. Dr. Maria Biryukov (2010): "Methods of Extracting Meta-Information from Bibliographic Databases".
  15. Dr. Michael Hilker (2008): "Network Security through Artificial Immunity with SANA".

Former Co-Supervisor, Member of the Defence Committee

  1. Dr. Rachele Carli: Deception in social robotics: problematic profiles of human-robot interaction. Under main supervision of Prof Leon van der Torre.
  2. Dr. Nima Nabizadeh, TU Berlin, Germany (17 April 2024).
  3. Dr. Andreas Koukorinis (2024) : Machine Learning for High-Frequency Financial Time Series. University College London (External Reviewer)
  4. Dr. Minh Vu Chau (2023): Constitutive modelling of nonlinear isotropic elasticity using deep regression neural networks. (Chairman of the defence; member of the CET). Under main supervision of Prof. Andreas Zilian.
  5. Dr. Shohreh Haddadan: "Argumentation Mining in Political Debates". Under main supervision of Prof Leon van der Torre. Member of the Doctoral Training Unit DHH. Defence: 4 April 2022. Chair of the Defence.
  6. Dr. Daniela Gierschek: "Automatic Detection of Emotions in Luxembourgish User Comments". Under main supervision of Prof Peter Gilles (Department. of Linguistics). Defence: 25 February 2022. Vice-Chair of the Defence.
  7. Dr. Lucio Idone (2020, UC London, UK): Validation of trading strategies for the foreign exchange. Role: External Expert + Chairman of Defence.
  8. Dr. Valentina Leone (2021) "Knowledge Patterns for the Privacy and data Protection domain: extraction and reuse". Co-Supervisor. Under main supervision of Prof Martin Theobald.
  9. Dr. Eva Andersen (2021):"Psychiatric Associations in Europe (1842 - 1940). The Importance of Transnational Contacts for the Dissemination of Knowledge." Under main supervision of Prof Benoit Majerus, C2DH. Member of the Doctoral Training Unit DHH. Role: co-Supervisor and Chairman of Defence.
  10. Dr. Denis de Montigny. Bayesian Networks for Asset Management and Financial Risk. External Expert and Chairman of Defence. UC London (2020)
  11. Dr. Robert Mebenga Mbala"Transhumanisme: Une approche éthique philosophique des nouvelles biotechnologies de la transformation de l'être". Co-tutuelle, and under main supervision of Prof Lukas Sosoe (UL) and Prof Marc Maesschalck (Leuven). Role: co-Supervisor and Chair of the Defence.
  12. Dr. Tahereh Pazouki (2019): "MaGrid – From Developing a Language-Neutral Learning Application to Predictive Learning Analytics". External Expert. Main Supervision: Prof Roman Martin and Prof Antoine Fischbach).
  13. Dr. Max Kemman (2018): "Trading Zones of Digital History - Boundaries of Collaboration, Coordination, and Communication". External Expert. Main Supervision: Prof Andreas Fickers, C2DH.
  14. Dr. Thorsten Doherr (2018): Disambiguation of Researchers Careers: Shifting the Perspective from Documents to Authors. Vice-Chairman of the Defense jury (Centre of Research in Economics and Management; Prof Katrin Hussinger).
  15. Dr. Jiali Wang (2017): System Biology Approach Towards the oncogenic signaling in GISTs (Life Science Dept). Co-Supervisor and Chairman of the Defense jury (Prof Serge Haan).
  16. Dr. Alessio Antonini (2016): FirstLife, building a technological platform for supporting urban networks and institutions cooperation in daily activities. External Reviewer and Member of the Defense jury. Departimenta di Informatica, Università di Torino (2016; Prof Guido Boella).
  17. Dr. Florian Feltes (2016): Mitarbeiterführung und Social-Media-Nutzung im Führungsalltag von Generation-Y-Führungskräften - Eine Explorative Analyse mittels Mixed-Methods-Ansatz. Internal Reviewer and Vice-Chairman of the jury. Luxembourg (Prof Charles Max, SnT).
  18. Dr. Martin Sewell (2016): "Application of Machine Learning to Financial Time Series Analysis". External Reviewer + Chairman of Defence; University College London, UK (Prof Philip Treleaven).
  19. Dr. Llio Humphreys (2016): "Populating legal ontologies with information extraction based on semantic role labeling and text similarity". co-Supervisor and Chairman of Defense (Prof Leon van der Torre, Computer Science).
  20. Dr. Andreas Chouliaras (2016): "Essays on the impact of information on Financial Markets: evidence from the European Financial Crisis". co-Supervisor (Prof Theoharry Grammatikos, Dept of Finance).
  21. Dr. Denis Shirnin (2014): "Formalizing the twofold structure of a proactive system: Proof of concept on deterministic and probabilistic levels". co-Supervisor (Prof Denis Zampunieris, Computer Science).
  22. Dr. Philippe Blanca (2014): "The scientific journal in the age of multimodality". co-Supervisor (with Dept of Education, Culture, Cognition, and Society; Prof Charles Max, SnT).
  23. Dr. Cynthia Wagner (2012): "Security and Network monitoring based on Internet flow measurements". Chairman of the Defence Jury (Prof Thomas Engel, Computer Science + SnT).

Other former members

  • Prof. Dr. Joris Hulstijn, now Department of Information and Computing Sciences at University of Utrecht
  • Ivan Jacobs (resigned): Programmable and explainable Deep learning Target Discovery and solution generation.
  • Dr Vladimir Despotovic (Reseach Associate, PostDoc; 09/19 - 12/21)
  • Dr Joshgun Sirajzade Research Associate, PostDoc, STRIPS , DeepHouse (06/19 - 12/20)
  • Dr Julianna Stropp (PostDoc Researcher; 02/20 - 11/20) Taxon-Time. Marie Curie Fellowship (EU Programme).
  • Dr. Juliane Tatarinov (PostDoc Resarcher; 06/21 -11/21).
  • Dr Siwen Guo, PostDoc researcher (12/2019)
  • Dr. Dimitrios Kampas (06/2016)
  • Dr. Sviatlana Höhn (03/2016; 01/2018 - 08/2019)
  • Dr. Alejandro Correa Bahnsen (2012-2014)
  • Dr. Patrice Caire (11/2006 - 10/2007)
  • MSc. Aliona Codrean (2021)
  • Dipl.-Inf. Ralph Weires (04/2006 - 03/2008)
  • MSc. Ben Schroeder (10/2005 - 09/2007)

Master/Diploma Candidates

2025

  • Dylan da Silva Moreiro: Finding That Irresistible Spark: AI-Driven Methods for Discovering and Generating Similar Music.
  • Akshata Tejas Karandikar: An Explainable Student Dropout Prediction Method through Fine-Tuning Large-Language Models in Federated Learning
  • Vlada Khomenko: An Explainable Book Recommendation Chatbot.
  • Noah Klopp: Predicting Student Performance: Modeling Exam Performance Based on Socioeconomic Factors (Reviewer)
  • Lionel Oliveira: LLM-Based Food Recommendation (with LUNEX - Higher Education Institution specialised in Health, Sports and Management).
  • Narman Sharma: Secure Image and Text Steganography using Deep Learning Networks.
  • Emad Kalantari Khalilabad (reviewer)
  • Alain Schuster (reviewer)

2024

  • Akhil Satheesh: "Fine-tuning Large Language Model with Proximal Policy Optimization for Educational Question Generation"
  • Akruti Reikwar: "SES Standardization and Centralization for Strategic Insights"
  • Aswathy Kokkothil: "Enhancing Educational Question-Answering Systems: An Empirical Study of Large-Language Models with Retrieval-Augmented Generation"
  • Esada Licina: "Towards an Interactive and Explainable Ticketing Systems Leveraging Large Language Models"
  • Samuel Kom Sande: "Efficient Implementation of Sequential Pattern Algorithm on Large Data set"

2023

  • Hamza Dovutbekov. Using ChatGPT and Dall-E for a new kind of Digital Storytelling.
  • Greeshma Menon. Songs to Lyrics Generation using Deep Learning Models. With Prince Gharbin (PhD candidate)
  • David Holbrechts: A practical application of Linguistic Steganography.
  • Navid Vafaei: An opinion text summarization approach with unsupervised domain adaptation. Daily Supervisor: Dr. Salima Lamsiyah

2022

  • Keerthana Murugaraj:Automated Summarization of Historical Texts (working title, in progress). Supervisor. Daily Supervisor: Dr. Salima Lamsiyah
  • Natsumi Shokida (with U Montreal) : Topical evolution of gender studies (in progress; Defence: 14 October 2022). Supervisor.
  • Aishwarya Krishnan: Design of a Chatbot for the SES Service-Now knowledge base (with SES Astra). Supervisor.
  • Léo Hillah: MOIEN: Moving English to Luxembourgish with Seq2Seq Networks. Supervisor.
  • Dastan Kasmamytov: Analysis of Open-Source Chatbot Architectures:Chirpy-Cardinal and Rasa.Master Thesis at FU Berlin. January 2022 (Supervisor).

2021

  • Yann Hoffmann: Reinforcement Learning for Autonomic Computing applied mostly to optimizing streaming engines within Talkwalker. Co-Spervisor.
  • Lucas Souza Romao: Analyzing skill networks of the European labor markets. Reviewer.
  • Pin Zhu. Alternating Minimization Methods for efficient training of (Deep) Neural Network’s parameters (Supervisor; with IEE)
  • Trang Thi Huyen Trang HOANG: Detecting Attacks against Telecom Networks with Deep Learning (Supervisor; with Post, Luxembourg)

2020

  • 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: Knowledge 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)

2019

  • Sadi Nasib: Real-time Streaming Detection of Anomalous Taxi Driving Behaviour (Reviewer)
  • Plarent Haxhidauti: Guided Inductive Logic Programming (Reviewer).
  • Doni Endringer: ADvanced Content Analysis for Web pages in Apache Spark (Reviewer).
  • Catia Mano Ferreira: Crafting Conversational Agents' Personality in a User-Centric Context (Supervisor).
  • Elisabeth Joy: Similarity Search in RTL Documents and Commentaries based on Sentiments (Supervisor).
  • Laurent Grober: Fake News Detection System driven by Belief Revision (Supervisor).
  • Ramya Ramamurthi: An Enhanced Chatbot with Character-based Associative Memories (Supervisor).
  • Maya Olszewski: Exploring Permissions in In/Output (Reviewer).

2018

  • Elida Van Nierop: Improving LDA Topic Modelling Using Word Embeddings Applied to a Corpus of User Commentary (Supervisor)
  • Rik Lamesch: Topic Modelling and Sentiment Analysis: Analysing a Corpus of User Commentary (Supervisor)
  • Bharati Vijayakumar: Exploring Formative Feedback Using Quizbot (Supervisor).
  • Soumya Ramakrishna: Computing Emotions and Sentiment Analysis in Luxembourgish News and Forums (Supervisor).
  • Yaqiong Zheng: Detecting and Incorporating Emotions in a Chatbot (Supervisor)
  • Simon Bandella: Learning a Distance Function for Symbols and Evaluating their Performances on Historic Maps (Supervisor).
  • Mike Pereira Goncalves: Machine Learning Approaches for Collaborative Context-Aware Mobile Learning (co-Supervisor).
  • Lucian Trestioreanu: Holographic Visualization of Radiology Data and Automated Machine Learning-based Medical Image Segmentation (co-Supervisor).
  • Mihail Antonov Tachev: Comparative Study of Machine Learning Techniques for Subfound Classification (Reviewer).
  • Mike Pereira Goncalves: Machine Learning Approaches for Collaborative Context-aware Mobil Learning (Reviewer).
  • Lucian Trestioreanou: Holographic Visualization of Radiology Data and Automated ML-Based Image Segmentation (Reviewer).

2017

  • Yan Medernach: Teammate and opponent recognition for Luxembourg United Deep learning approach in the autonomous robot football (Supervisor).
  • Claudio Cimarelli: Improving cooperation game for robot soccer competitions using machine learning techniques applied to dynamic role assignment (Supervisor).
  • Maciej Zurad: Deep Convolutional Neural Network for 6-DOF Image Localization (Reviewer).

2016

  • Kristjan Kelt: Vision-based human detection for aerial images (2016; Reviewer).
  • Ian Muller: Design and Implementation of Web Services for Multiple criteria sorting and ranking (2016, Reviewer).

2015

  • Tahereh Pazouki: Puzzle Solution Verification and Data Mining: A Journey from Geometry and Visual Spatial Math Puzzles to Touch Based Applications (Reviewer).
  • Raphael Sirres: Resolving the Vocabulary Mismatch Problem in Free-Form Code Search - A GitHub Search Engine (Reviewer).
  • Aikaterini Karanasiou: Medical Text Mining using Supervised Machine Learning for the Recognition of Drugs and Disorders (Supervisor)
  • Alain Pfeiffer: Generating cloze key-distractor pairs from texts. University of Luxembourg (Supervisor)
  • Zohreh Baniasadi: Machine Ethics in utiltarian-based Deontic Logic (Reviewer).

2014

  • Rahmi Emre Ocakdan: Implementation of k-Anonymity to protect sensitive data. University of Luxembourg (Supervisor)
  • Cristina Ghet: Preserving innocence and traps perspective in linguistic steganography. University of Luxembourg (Supervisor)

2012

  • Diana Marosin: Changing Enterprise Architectures: Abstract Framework, Revision Procedures and Algorithms. University of Luxembourg (Reviewer)
  • Paul Bicheler:A toolkit for table-based tangible widgets. University of Luxembourg (Reviewer)

2011

  • Sergio Sousa Intention Detection for BCI-controlled Robots. University of Luxembourg. 2011 (Supervisor)
  • Francois Beckius: A Method for Closed-Loop Brain-Computer-Interface Training Using a 14-Channel EEG. University of Luxembourg (Supervisor)

2010

  • Ronny Heinz: Do you know who you are - using scientific paper abstracts for author profiling. University of Luxembourg (Supervisor)

2009

  • Damien Garot: The n-tier Interactional and Pro-active Architecture of a SCORM Compliant Learning Management System. University of Luxembourg (Reviewer)

2008

  • Cailing Dong: Text Mining and Characterization of Bibliographic Communities. University of Luxembourg. (Supervisor)
  • Naipeng Dong: A Fingerprint Engine for Author Profiling. University of Luxembourg. (Supervisor)
  • Yafang Wang: Associative Mind-maps for Trust Modeling. University of Luxembourg. (Supervisor)
  • Claudine Brucks: Semantic Network Learning from Textual Streams. University of Luxembourg. (Supervisor)
  • Cynthia Wagner: CoZo+: A framework for Content Zoning of Text Streams. University of Luxembourg. (Supervisor)
  • Sviatlana Danilava: Attitude Mining zur Erkennung von Modalitaeten.. University of Luxembourg and Goethe-University Frankfurt/Main. (Reviewer)
  • Jun Ma. University of Luxembourg. (Reviewer).
  • Jayanta Poray. University of Luxembourg. (Reviewer)

2007

  • Gerard de Melo. Adaptive Multilingual Text Classification using Ontologies Goethe-University Frankfurt/M.. 2007. (Co-Supervisor)
  • Jasmin Dzaferovic. University of Frankfurt. 2007 (Co-Supervisor).
  • Ejikeme Uzoghukwu: Adaptive Netting in Data Streams. University of Luxembourg. 2007 (Supervisor).
  • Conny Uhde: Untersuchungen zur Autorenprofilierung in Texten mit Hilfe eines Clusteringansatzes. . University of Luxembourg and JW Goethe University. 2007. (Supervisor)

Before 2005 (UL's Master program MICS started in 2005)

  • Patrick Duessel: Grid-Mining for Association Rules. University of Potsdam. 2005. (Co-Supervisor).
  • Jihua Xun: Evaluierung von Java-Parsern. JW Goethe-University Frankfurt/Main. 2004. (Co-Supervisor)
  • Sun Qin : Integration manueller Kategorisierungsregeln in die automatische Kategorisierung im Text Mining (IBM Laboratory and Goethe-University Frankfurt/M. 2003 (Co-Supervisor).
  • Silvia Burst: Erweiterung eines Mining-Szenario fuer die Analyse von Marktdaten nach WpHG Paragraph 9. Goethe-University Frankfurt/M., IBM Laboratory, Boeblingen, and BAFin - Bundesamt fuer Finanzdienstleistungsaufsicht. 2003. (Co-Supervisor)
  • Henry Helff: Analyse des TV-Sehverhaltens fur Database Marketing. Goethe-University Frankfurt/M. Ogilvy & Mather. 1999. (Supervisor)
  • Sascha Slomka: Adaptive Analyse von Finanzdaten mit Regelsystemen. Goethe-University Frankfurt/M. and Gesellschaft fuer Zahlungssysteme. 1999. (Supervisor)
  • Anja Kreis: Anwendung von Data Mining im Wirkstoffdesign. Goethe-University Frankfurt/M. and Bayer, Leverkusen. 1998. (Supervisor)
  • Sascha Kaufmann: TS-SOM: Segmentierung mit selbstorganisierenden Karten am Beispiel von Telekommunikationsdaten. Goethe-University Frankfurt/M. and AT&T, Frankfurt/Main. 1998. (Supervisor)
  • Jochen Schmidt: Korrelationsanalyse von Musterclustern in Zeitreihendaten Goethe-University Frankfurt/M. and Deutsche Bundesbank, Frankfurt/Main. 1998. (Supervisor)
  • Michael Hopf: Anwendung von Data Mining/Knowledge Discovery im Naturstoff Screening (Goethe-University Frankfurt/M. and Aventis, Frankfurt/Main. 1998. (Supervisor)
  • Michaela Pfeifer: MP-KLASS: Ein interaktives Data Mining-Werkzeug zur Entscheidungsfindung innerhalb eines Krankenhausinformationssystems (Goethe-University Frankfurt/M. and SMS, Eschborn. 1997. (Supervisor)
  • Matthias Stemmler: STLearn: Ein Data Mining-Werkzeug zur Klassifikation von Daten mit Hilfe eines baumorientierten Lernverfahrens. Goethe-University Frankfurt/M. 1996. (Supervisor)
  • Isabel Scheiding: Modellierung von HyTime Architectural Forms als Grundlage fuer das Annotieren strukturierter Dokumente. Goethe-University Frankfurt/M Co-supervision. 1996. (Supervisor)
  • Joachim Birken: Entwicklung einer Programmierschnittstelle für repetierenden Betrieb auf einer assoziativen Datenflussarchitektur. Goethe-University Frankfurt/M Co-supervision. 1994. (Supervisor)
    and many undergraduate students performing their Bachelor-Theses (BINFO, BICS).