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July2023a July2023b IMG_1829 mine-may23

Last update: August 2023


Open Positions

  • 2 October: great news, we will be able to offer a PostDoc position very soon in the field of AI for Education Stay tuned.

 

Lead


PostDoctoral researchers

  • Dr. Salima Lamsiyah, Researcher in Natural Language Processing: Text Summarization, Cybercrime, Education


PhD candidates

  • 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.
  • MSc. Prince Yaw Gharbin. Creating Historical Stories with Illustrations for Digital History, using Natural Language Processing and Deep/Machine learning models. Member of FNR PRIDE: D4H - Deep Data Science of Digital History.
  • MSc. Yasaman Yousefi:The quest for Fairness in AI: Legal, Ethical, and Technical Solutions. LAST-JD Graduate School. co-tutuelle with University of Bologna, Prof. Silvia Zullo.
  • MSc. Alejandro Raboso Campos: Artificial Intelligence for unstructured data analysis in fundamental value investments. with European Investement Bank, Luxembourg.
  • MSc. Daniel Karpati: REMEDIS - The Limits of Autonomous Decision-making in Machine Ethics.
  • MSc. Aria Nourbaksh: Chatbots. Member of FNR IPBG C21 and our industrial partners CISCO and SCRIPT
  • MSc. Faria Ferooz: Legal Knowledge modelling of medieval manuscript of history of law and open Data of Cultural Heritage. LAST-JD Graduate School. co-tutuelle with University of Bologna, Prof. Monica Palmirani.
  • MSc. Nina Hosseini-Kivanani: Automatic speech recognition of Parkinson's disease.
  • 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-Supervision (Porf. Theobald).
  • MSc. Tatjana Kaufman. Coding as source.Member of D4H - Deep Data Science of Digital History. Co-Supervision (Prof. Schafer, C2DH).
  • MSc. Paul Meder: BigTexts - A Distributed Graph Database for Large-Scale Text Analytics. co-supervision. Co-Supervision (Prof. Theobald).
  • MSc. Rachele Carli: Deception in social robotics: problematic profiles of human-robot interaction. Co-Supervision (Prof. van der Torre).
  • MSc. Giuseppe Pisano: Legal reasoning: argumentation and explanation. Co-Supervision (Prof. van der Torre).
  • MSc. Vu Chau: Data-driven identification of governing equations in continuum mechanics. Co-Supervision (Prof. Zilian).


Guest Researchers


Former PhD Candidates

(Doctoral program @ UL exists since 2005)

Supervisions

  • Dr. Ekaterina Kamlovskaya (2021): Approaching Indigenous Australian History with Text Mining methods. DHH Graduate School).
  • Dr. Federico Galli (2021): The Unfair Commercial Practices Directive in the age of AI and personalization. University of Bologna, Italy - LAST-JD program)
  • Dr. Siwen Guo (2019): Deep Neural Networks for Sentiment Analysis with Information Decay.
  • Dr. Winfried Höhn (2018): Semiautomatische Annotation von digitalisierten Altkarten.
  • Dr. Dimitrios Kampas (2016): Topic Identification considering word order in Markov Chains.
  • Dr. Sviatlana Höhn (2016): Data-driven repair models for text chat with language learners.
  • 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.

co-Supervisions

  • De. Andreas Koukorinis, University College London. Machine Learning for High-Frequency Financial Time Series. Department of Computer Science. PI: Prof. Dr. Philip Treleaven. External review and Chair of the Defence.
  • Dr. Minh Vu Chau (2023): Constitutive modelling of nonlinear isotropic elasticity using deep regression neural networks. Department of Engineering. PI: Prof. Dr. Andreas Zilian. Chair of the Defence.
  • Dr. Shohreh Haddadan: Argumentation Mining in Political Debates (Prof Leon van der Torre). Member of the Doctoral Training Unit DHH. Defence: 4 April 2022. Chair of the Defence.
  • Dr. Daniela Gierschek: Automatic Detection of Emotions in Luxembourgish User Comments (Prof Peter Gilles, Department. of Linguistics). Defence: 25 February 2022. Vice-Chair of the Defence.
  • Dr. Lucio Idone: Validation of trading strategies for the foreign exchange (Prof. Guido Germano, University College London, UK). External Expert + Chairman of Defence (5 June 2020).
  • 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.
  • Dr. Eva Andersen (2021): Psychiatric Associations in Europe (1842 - 1940). The Importance of Transnational Contacts for the Dissemination of Knowledge (Prof Benoit Majerus, C2DH). FNR PRIDE DHH. Chairman of Defence.
  • Dr. Denis de Montigny: Bayesian Networks for Asset Management and Financial Risk (Prof. Philip Treleaven, University College London). External Expert and Chairman of Defence. UC London (30 May 2020)
  • Dr. Robert Mebenga Mbala: Transhumanisme: Une approche éthique philosophique des nouvelles biotechnologies de la transformation de l'être. (Prof Lukas Sosoe, UL) and Prof Marc Maesschalck ,Leuven). Co-tutuelle.  Role: Chair of the Defence.
  • Dr. Tahereh Pazouki (2019): MaGrid – From Developing a Language-Neutral Learning Application to Predictive Learning Analytics (Prof Roman Martin, Prof Antoine Fischbach). External Expert.
  • Dr. Max Kemman (2018): Trading Zones of Digital History - Boundaries of Collaboration, Coordination, and Communication (Prof Andreas Fickers, C2DH). External Expert.
  • Dr. Thorsten Doherr (2018): Disambiguation of Researchers Careers: Shifting the Perspective from Documents to Authors (Centre of Research in Economics and Management; Prof Katrin Hussinger). External Expert.
  • Dr. Jiali Wang (2017): System Biology Approach Towards the oncogenic signaling in GISTs (Prof Serge Haan). Chairman of the Defence.
  • Dr. Alessio Antonini (2016): FirstLife, building a technological platform for supporting urban networks and institutions cooperation in daily activities (Departimenta di Informatica, Università di Torino, Prof Guido Boella). External Reviewer, Member of the Defence.
  • 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).
  • 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).
  • Dr. Llio Humphreys (2016): Populating legal ontologies with information extraction based on semantic role labeling and text similarity (Prof Leon van der Torre, Department of Computer Science). Chairman of Defence.
  • Dr. Andreas Chouliaras (2016): Essays on the impact of information on Financial Markets: evidence from the European Financial Crisis. (Prof Theoharry Grammatikos, Department of Finance).
  • Dr. Denis Shirnin (2014): Formalizing the twofold structure of a proactive system: Proof of concept on deterministic and probabilistic levels (Prof Denis Zampunieris, Department of Computer Science).
  • Dr. Philippe Blanca (2014): The scientific journal in the age of multimodality (Prof Charles Max, SnT). Chair of Defence.
  • Dr. Cynthia Wagner (2012): Security and Network monitoring based on Internet flow measurements (Prof Thomas Engel, Departmentof Computer Science). Chair of the Defence.

 

Other former members

 

Master/Diploma Candidates

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.
  • David Holbrechts: A practical application of Linguistic Steganography.
  • Navid Vafaei: An opinion text summarization approach with unsupervised domain adaptation.

2022

  • Keerthana Murugaraj:Automated Summarization of Historical Texts.
  • Natsumi Shokida (with U Montreal) : Topical evolution of gender studies.
  • Aishwarya Krishnan: Design of a Chatbot for the SES Service-Now knowledge base. Industiral Partner: SES Astra.
  • Léo Hillah: MOIEN: Moving English to Luxembourgish with Seq2Seq Networks.
  • Dastan Kasmamytov: Analysis of Open-Source Chatbot Architectures: Chirpy-Cardinal and Rasa. Supervised Master Thesis at FU Berlin.

2021

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

2020

  • Rudrani Sharma: Building up Explainability of Multilayer Perception Neural Network. Industiral Partner: POST Luxembourg
  • Sebastien Valenne: From text to knowledge: Generating a knowledge graph from JIRA tickets and emails.
  • Peter Hennen: Retailer Order Prediction Model with Market Basket Analysis
  • Mei Peng: Knowledge Transfer: from synthetic data to real data. Industrial Partner: IEE
  • Anna Felix: Sentiment, RTL News Messages, Project STRIPS
  • Ze Wang: Deep Learning, Speech, and Parkinson
  • Jingjing XU: Graph-based Mining
  • Rosita Gerbo, University Torino (Erasmus Student): Master thesis in the field about Psychology and AI, for example a chatbot simulating sadness.

2019

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

2018

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

2017

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

2016

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

2015

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

2014

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

2012

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

2011

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

2010

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

2009

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

2008

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

2007

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

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

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

and many undergraduate students performing their Bachelor-Theses (BINFO, BICS).