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AIT’s Data Science & Artificial Intelligence (DSAI) team is a multidisciplinary group of experienced scientists and engineers with diverse backgrounds - from data analytics, applied mathematics and statistics, to information security, and the humanities. The internationally renowned team members have a strong reputation in academia and are closely connected with international and local communities by organizing workshops, conferences, and meetups (e.g., Vienna R Meetup, Deep Learning Meetup Vienna).





Applied Artificial Intelligence

Topic Lead


Team Members Expertise Further Information
Daria Liakhovets Natural Language Processing, Information extraction, Explainable AI  
Jasmin Lampert Green Data Science, Geospatial Analytics, Computer Vision, NLP https://scholar.google.at/citations?user=ZUu2GLUAAAAJ&hl=de
Lam Pham VLSI design, Digital Signal Processing, Machine Hearing, Deep Learning for Audio https://scholar.google.com/citations?hl=en&user=66uCxxwAAAAJ&view_op=list_works&sortby=pubdate
Alexander Schindler Multi-Modal AI, Audio Analysis https://alexander.schindler.eu.com
Sven Schlarb Applied Natural Language Processing, Text Mining, Digitisation, Archiving https://orcid.org/0000-0003-3717-0014
Mina Schütz Natural Language Processing, Information extraction, Explainable AI, Visual Analytics https://scholar.google.com/citations?view_op=list_works&hl=en&user=TRCZtccAAAAJ


Industrial Data Science

Topic Lead

Team Members Expertise Further Information
Pedro Casas AI/ML for Networking, Network Security and Anomaly Detection, Network Measurements, Internet QoE http://pcasas.info/
Clemens Heistracher Predictive Maintenance, Multi-Modal Time Series Analytics, Natural Language Processing https://scholar.google.com/citations?user=nJtbTlMAAAAJ&hl=en
Anahid Jalali Time Series modeling, Machine & Deep Learning, eXplainable AI https://scholar.google.com/citations?hl=en&user=AzQvjY8AAAAJ
Denis Katić Machine Learning, Explainable AI and Quantum ML  
Roman Karl Functional programming, Algorithmics, Blockchain-based systems  


Data Science for Public Security

Topic Lead

Team Members Expertise Further Information
Mihai Bartha Software engineering and development, X IT security and administration, 3D realtime systems, Low-level software development https://scholar.google.com/citations?user=Hm7mEbgAAAAJ&hl=de
Melitta Dragaschnig Software engineering and architecture, Big (geospatial) data technologies, Mobility data analyses, Linux cluster administration https://orcid.org/0000-0001-5100-2717
Stefan Kitzler Data Science, Decentralized Finance  
Andrew Lindley Web-Crawling, Machine Learning, Software Engineering, Architecture and Design, Fake-Shop Analytics https://www.researchgate.net/profile/Andrew-Lindley-4
Pietro Saggese Cryptocurrencies, Economics and Data Science, Decentralized Finance https://scholar.google.it/citations?user=3J8D1KcAAAAJ&hl=it&authuser=1
Rainer Stütz Computational Statistics and Statistical Learning, Big Data, Large-scale Cryptoasset Analytics, Linux Cluster Administration https://orcid.org/0000-0001-9244-1441


Cultural Data Science

Topic Lead

Team Members Expertise Further Information
Medina Andresel Neural-symbolic AI, Knowledge Graphs, Rule-based Systems, Semantic Web https://www.linkedin.com/in/medinaandresel/?originalSubdomain=at
Sergiu Gordea Digital Cultural Heritage, Information Retrieval, Knowledge Management, Artificial Intelligence, Digital Humanities, Recommender Systems, Project Management https://www.researchgate.net/profile/Sergiu-Gordea
Rainer Simon Digital Humanities, Semantic technologies and Linked Data, Geospatial information modelling and visualization, User interface design and development https://rsimon.github.io
Srdjan Stevanetic Software Architecture and Design, IT Systems, Machine Learning and Artificial Intelligence, Big Data https://www.linkedin.com/in/dr-techn-srdjan-stevanetic-b286152a/
Michela Vignoli Open Science, Digital Humanities, Citizen Science, Open Data, Data Management https://orcid.org/0000-0002-9495-5697