Peter Dolog

peter_dolog

I am an Associate Professor of computer science at the Department of Computer ScienceAalborg University leading the IWIS – Intelligent Web and Information Systems research group where we are primarily dealing with Web Science and Engineering. There, my main interest lie in applied machine learning, personalization, recommendation, user modeling, preferences, and their application in different tasks. The IWIS group is part of Database, Programming and Web Technologies unit. Since 2012 until 2015 I served as a member on study board for computer science and since 2012 I have been on the department council at the CS department. I am also a research leader of Web Science and Engineering area at the CS department and serve as a member of the research committee for that area at the department. I am also a member of Association of Computer Machinery (ACM)IEEE Computer SocietyGerman Society for Computer Science (GI)International Society of Web Engineering (ISWE), and I was a steering committee member of International Conferences of Web Engineering between 2013 and 2016.

Here is my Google ScholarDBLP, and AAU institutional publication record. My H-Number from Google Scholar retrieved on 03.02.2016 is 26.

Visit the web site of IWIS: Intelligent Web and Information Systems group.

Visit the web site of UMAP 2014: International Conference on User Modeling, Adaptation and Personalization where I served as General Chair.

Visit the web site of ICWE 2013: International Conference of Web Engieering where I served as General Chair.

Find out about other activities at Activities!

FINISHED PROJECTS:

EU FP7 STREP M-Eco: Medical Ecosystem: Personalized Event-Based Surveillance – Technical director, Principal investigator at Aalborg University, Personalization theme leader, WP5 leader

EU FP7 STREP KIWI: Knowledge in a Wiki – Deputy project coordinator, Principal investigator at Aalborg University, Personalization theme leader

EU FP7 STREP idSpace: Tooling of and Training for Collaborative Distributed Product Innovation – Principal investigator at Aalborg University, combination of creativity techniques and MDA theme leader

EU-IST FP6 Prolearn – NoE on professional learning – project coordinator when at L3S and associate partner at AAU.

EU-IST FP5 ELENA – Creating a Smart Space for Learning – workpackage coordinator.

FROGS: A Famework for Forward Recovery Web Service Transaction Compensations

The ontology for state machines

Learner RDF bindings for personalization purposes in open RDF-based networks Short description with RDF schemas can be found at Elena project web site undepersonalization results.

The Personal Reader

Engine (Learning Service) which interprets UML State Machines adaptively according to learner profiles.

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