My current research focuses on the development and application of non-deductive reasoning techniques (non-monotonic reasoning and belief revision) and their application to automated diagnosis, scheduling, database mining, and related areas. The challenge is to retain the clarity and robustness of good theory, while making progress in their practical deployment in real applications.
The current most active application areas are intelligent scheduling, automated layout, and data base mining. The methods for scheduling and layout are based on extensions of the theory and practice of constraint solving and constraint logic programming. In both cases, there exist important and difficult challenges with respect to the incremental specification of complex scheduling and layout constraints, and the incremental dynamic specification of optimization criteria.
Related work includes the development of constraint languages and algorithms for restricted classes of application domains. These include personnel scheduling, high school timetabling, and the parallel development of visualization and user interaction tools to help develop specifications for these problems. With respect to data mining, the underlying methods again use constraint logic programming tools, augmented with more powerful inference techniques based on various forms of induction. Application-specific induction projects include the creation of hypotheses on protein structure, and the automatic formation of semantic indexing structures used to support content-based retrieval of text and images.
Osmar R. Zaiane is a researcher, computer scientist, professor at the University of Alberta specializing in data mining and machine learning
My area of research is Natural Language Processing (NLP), or, more broadly, Computational Linguistics.
Andreas Holzinger is lead of the Human-Centered AI Lab (Holzinger Group) at the Medical University Graz and since 2016 he is Visiting Professor for machine learning in health informatics at Vienna University of Technology. Andreas was Visiting Professor for Machine Learning & Knowledge Extraction in Verona; the RWTH Aachen, University College London and Middlesex University London. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Commission. He is in the advisory board of the Artificial Intelligence Strategy “AI Made in Germany 2030” of the German Federal Government and in the advisory board of the “Artificial Intelligence Mission Austria 2030”. Andreas Holzinger promotes a synergistic approach to Human-Centred Artificial Intelligence (HC-AI) and has pioneered in interactive machine learning (iML) with the human-in-the-loop. Andreas’ goal is to augment human intelligence with artificial intelligence to help to solve problems in health informatics. Andreas obtained a Ph.D. in Cognitive Science from Graz University in 1998 and his second Ph.D. in Computer Science from TU Graz in 2003. He serves as Austrian Representative for AI in IFIP TC 12, he is organizer of the IFIP Cross-Domain Conference “Machine Learning & Knowledge Extraction (CD-MAKE)” and is member of IFIP WG 12.9 Computational Intelligence, the ACM, IEEE, GI, the Austrian Computer Science and the Association for the Advancement of Artificial Intelligence (AAAI). More information: https://www.aholzinger.at
Juliano Rabelo has a bachelor degree in Computing Science, a Masters degree in Artificial Intelligence with a focus on Question Answering and a Doctorate degree on Text Classification (all degrees from UFPE/Brazil). Juliano founded and worked at a research-focused company for 10 years, and now he is a postdoc researcher at the xAI Lab. Being passionate about languages and how they are applied in different scenarios, Juliano's current research focus is on Natural Language Processing, Machine Learning and Explainable AI applied to text.
I have been researching with Prof. Randy Goebel's group since 2009, as a postdoc and research associate. Currently, I'm an assistant professor in Augustana campus, University of Alberta. My research interests are in natural language processing, machine learning, and text analytics. Currently, I'm studying information extraction from legal and medical data.
Nawshad is currently a PhD student at the Dept. of Computing Science, UofA, conducting research on Extraction and Modelling of Major Depressive Disorder from Human Language by employing Natural Language Processing and Machine Learning Algorithms. Before that he pursued his Master's degree from the University of Lethbridge, in Distributed Spatial Query Processing and Optimization. Nawshad has extensive experience in developing enterprise softwares through years of experience in software industry. He is originally from Bangladesh.
Housam is a PhD student at the Dept. of Computing Science, UofA, working on machine learning interptability and explainability
Shahin Atakishiyev is from Mirzabeyli village of Qabala, Azerbaijan. He received his BSc Computer Engineering degree from Qafqaz University (now called Baku Engineering University) on June 2015, and MSc Computer Engineering degree (with specialization in Software Engineering and Intelligent Systems) from the University of Alberta on January 2018. His master’s research was about evaluation of word embeddings using cluster and semantic similarity analysis. As of September 2019 - , he will be a PhD student at the Computing Science Department of the University of Alberta. Shahin’s research interests include Human-Centered Artificial Intelligence (ethical, trustable, explainable), Fuzzy Logic, Machine Learning, and Natural Language Processing.Education
PhD in Computing Science, University of Alberta, Canada, 2019 MSc in Computer Engineering, University of Alberta, Canada, 2016-2018 BSc in Computer Engineering, Qafqaz University, Azerbaijan, 2010-2015
Yao, Msc - Research Assistant
Position: Msc, University of Waterloo
Andreas HOLZINGER - Visiting Scientist
Position: Assoc.Prof. @ Graz University of Technology
Firas Lethaus - Visiting Scientist
Position: Group Lead of Volkswagen Machine Learning