Team

The AIML group brings together researchers working on robust, responsible, and generative AI across theory, methodology, and real-world applications.

Head of AIML Group

Postdoctoral Researchers

Doctoral Researchers

Administrative Support

Alumni

• Alaa Elobaid, External PhD Student (CERTH, Greece), Project: NoBias.
• Dr. Vivek Kumar Singh, Postdoc, 2023 - 2025, Project: STELAR.
• Dr. Tai Le Quy, PhD Student, 2016 - 2023, PhD thesis: “Fairness-aware machine learning in educational data mining”.. Last seen: Postdoctoral Researcher, Universität Koblenz.
• Manuel Heurich , PhD Student, August 2021 - May 2022, Topic: Adaptive learning.
• Yi Cai , PhD student, November 2020 - May 2022, Topic: Explanations for text classification.
• Philipp Naumann , PhD student, March 2021 - May 2022, Topic: Counterfactual fairness.
• Dr. Nabil Alsabah , Lecturer.
• Dr. Vasileios Iosifidis, PhD student, June 2016 - July 2020, PhD thesis: Fairness-aware machine learning & learning under limited labels, PhD thesis: “Semi-supervised learning and fairness-aware learning under class imbalance”.. Last seen: Data Scientist @ Schenker AG.
• Amir Abolfazli , PhD student, April 2019 - July 2020, Topic: Adaptive machine learning.
• Damianos Melidis , PhD student, 2017 - 2018, Topic: Ensemble learning over heterogeneous stream.
• Chirag Pandav, MSc, Research assistant, project: MAMMoth , 2024.
• Michael Dickopf , MSc, Research assistant, project: STELAR , 2024.
• Viktoria Andres , BSc , Research assistant, project: Hephaestus , WiSe21/22
• Anton Kriese , MSc, Research assistant, project: DFG SFB 1463: “Offshore Megastrukturen” , WiSe21/22

Visiting Researchers

• Tobias Hyrup (Visiting Ph.D. student), 01/010/2024-30/11/2024, University of Southern Denmark, Denmark. Research topic: Privacy- and bias-aware synthetic data generation.
• Srijanani Saiegiridar (Visiting B.Sc. student), 01/010/2024-30/11/2024, University of Southern Denmark, Denmark. Research topic: Privacy- and bias-aware synthetic data generation.
• Bahman Askari (Erasmus MSc student), WiSe18/19-SS19, University of Camerino, Italy. Research topic: demand prediction. Related publication SSMLS@COMPSAC 2020 .
• Wenbin Zhang (Visiting Ph.D. student), WiSe17/18-SS18, University of Maryland, USA. Research topic: Online fairness. Related publication IJCAI 2019 .

Master and Bachelor students

Bundeswehr University Munich (UniBwM) , Germany

• Fin Eckhoff, M.Sc., “Developing a simulator for machine-learning driven sonar data generation”, FT24.

Freie Universität Berlin (FUB) , Germany

• Sara Bonati , M.Sc., “The impact of spatial and temporal context in fairness-aware machine learning”, SoSe23.
• Esra Gücükbel , M.Sc., “Evaluating The Explanation of Black Box Decision for Text Classification”, WiSe22/23.
• Florian Mies , M.Sc., “Analysis of the Generative Replay Algorithm and Comparison with other Continual Learning Approaches on Newly Defined Non-stationary Data Stream Scenarios”, [code], SoSe22.
• Viktoria Andres , B.Sc., “Generating Counterfactual Explanations for Electrocardiography Classification with Native Guide”, [code], WiSe21/22.

Leibniz University Hannover (LUH) , Germany

• Philipp Naumann , MSc, ‘‘Evolutionary Instance Tweaking’’, WiSe20/21.
• Leonard Zucht , MSc, ‘‘Application of Amortized Fairness in Sequential Group Recommendations Using Collaborative Filtering’’, WiSe19/20.
• Philip Ossenkopp , BSc, ‘‘Dealing with Concept Drifts via Weightless Neural Networks’’, WiSe19/20.
• Niels Nuthmann , BSc, ‘‘Detecting tendon failure from acoustic emission data with machine learning methods’’ - in cooperation with Prof. Marx (Institut für Massivbau), SoSe19.
• Wazed Ali , MSc, ‘‘Sentiment Analysis using Deep Learning’’, WoSe18/19.
• Christopher Blake , MSc, ‘‘Knowledge Production and Control of a Black Box Using Machine Learning’’, WS18/19. Related publication: ICBK 2018.
• Theresa Tholsti , BSc, ‘‘Stability of high dimensional stream clustering’’, SoSe18.
• Kersten Nicksch , BSc, ‘‘Multicriteria recommendations with implicit criteria’’, SoSe18.
• Simon Wingert , MSc, ‘‘Augmentation on image data for deep learning’’, SoSe18.
• Alvaro Alvaro Veizaga Campero , MSc, ‘‘Sentiment Analysis with Deep Learning’’, SoSe18.
• Ruben Hohndorf , MSc, ‘‘Data stream clustering”, SoSe18.
• Bin Li , MSc, ‘‘Anomaly detection in sensor streams’’, SoSe18.
• Monseh Haghaieghshenasfard , Research project, Taxi Fare Prediction, SoSe18.
• Al Kafi Khan , Research project, ‘‘Predictive Maintenance’’, SoSe 17.
• Amit Tyagi , MSc project, “Outlier detection in data streams”, SoSe 17.
• Rajib Das, MSc, “Mining opinionated product features from Amazon reviews”, SoSe 17.
• Alvaro Alvaro Veizaga Campero , Research project, “Lexicon-based approaches for sentiment analysis in Twitter”, SoSe 17. Related publication: WIMS 2018 .
• Lijun Lyu , Research project, “Wikipedia Entity Enrichment from News Streams”, SoSe 17.
• Nrithya Muniswamy & Nidhi Chachra , Research project, “Implicit network mining from archive collections”, SoSe 17.
• Sudhir Kumar Sah , MSc, “Topic extraction from archive collections”, WiSe 16/17.

Ludwig Maximilians University Munich (LMU) , Germany

• Omar Backhoff , MSc, “Scalable Online-Offline Stream Clustering in Apache Spark”, TUM Munich, 2017. Related publication
• Daniel Basaran , MSc, “On the effect of duplicated reviews on performance statistics of recommender systems”, LMU Munich, 2016. Related publication
• Benedikt Böhm , Project work, “Building blocks for multicriteria recommendation systems”, LMU Munich, 2016.
• Yulia Bobkova , BSc, Interaktive Bestimmung charakterstischer Punktmengen durch Kombination von Clusterings”, LMU Munich, 2016. Related publication
• Hossain Mahmud , MSc, “Ensemble Learning in Data Streams”, TUM Munich, 2016.
• Sebastian Wagner ,BSc, “Ageing-based Multinomial Naive Bayes Classifiers over Data Streams”, LMU Munich, 2015. Related publication
• Annina Oelschläger , BSc, “Adaptive Ageing of Multinomial Naive Bayes Classifiers over Opinionated Data Streams”, LMU Munich, 2015.
• Tabea Schmidt , “High Dimensional Stream Clustering”, LMU Munich, 2015.
• Michael Stockerl , MSc, “Find Templates for Scans and Pictures of Paper Documents”, LMU Munich, 2014. Related publication
• Michael Stockerl , Project work, “Distributed Computation of User Similarities”, LMU Munich, 2014.
• Claudia Lauschke , MSc, “Topic extraction and evolution monitoring in social streams”, LMU Munich, 2014. Related publication
• Katharina Rausch , MSc, “Exploring Subspace Clustering for Recommendations”, LMU Munich, 2013. Related publication
• Michalis Petropoulos , BSc, “gRecs: A Group Recommendation System”, LMU Munich, 2013. Related publication
• Charlotte Prieß , BSc, “Domain-specific sentiment analysis in Twitter using Bayesian classifiers”, LMU Munich, 2012.
• Alina Sinelnikova , BSc, “Sentiment analysis in the Twitter stream”, LMU Munich, 2012. Related publication
• Alexander Velkov , Diploma thesis, “Incremental Data Bubbles for Non-Vector Data in Arbitrary Metric Space”, LMU Munich, 2011.
• Kumar Subramanim , Diploma thesis, “Community Detection in Social Networks using Density Based Clustering Algorithms”, LMU Munich, 2011. Related publication
• Claudia Lauschke , BSc, “User Profile Monitoring in Twitter”, LMU Munich, 2011.
• Veselin Georgiev , Project work, “Web Profile Monitoring”, Projektarbeit, LMU Munich, 2011.

University of Piraeus , Greece

• Georgios Tzoumis , MSc, “Data warehousing for news portals”, University of Piraeus, 2006.
• Marios Mpartzokas , BSc, “Comparing complex patterns: a study on collections of documents”, University of Piraeus, 2006.
• Anastasia Tzeveleka , BSc, “Duck-miner: A Tool for Discovering and Handling Knowledge from Large DBs”, University of Piraeus, 2005.