Profile
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Name: Radu Dragusin
Birth date: 09.05.1987
Nationality: Romanian
Address: Strandvejen 6, 2100 Copenhagen Ø, Denmark
Phone: 0045-52752252
E-mail: radu@dragusin.ro


Natural Languages
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English (fluent), Romanian (native), Danish (basic), Italian (basic), French (basic)


Interests
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I am driven by a desire to contribute to improving the efficiency of processes through the development of software tools. I am particularly interested in identifying user information needs, analysing aggregated data, and designing user interfaces that support users in their specific daily tasks. I was main developer for FindZebra, a search engine to aid clinicians in the task of diagnosing difficult cases, and PyAlg, a tool for supporting computer science students in learning algorithms. Both resulted in published academic articles. I also have a keen interest in technical communication, computer security and data visualisation. My discovery and analysis of a recent security breach was covered in more than 100 news articles.


Experience
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Teaching Assistant, Department of Computer Science, University of Copenhagen; 
 Copenhagen, Denmark; August 2011 - present
  Assistant lecturer for Machine Architecture (Block 1, 2011).
  Assistant lecturer for Principles of Computer System Design (Block 2, 2011/2012).
  Assistant lecturer for Computer Networks (Block 4, 2012).
Internship, Alcatel Lucent; 
 Timisoara, Romania; August 2008
  Developing an ASP.NET application that provides an analysis of stock market evolution.
Internship, 2G PROD; 
 Timisoara, Romania; July 2008
  In charge of the new release of GSMGuide, a Java ME based phone navigation software.


Education
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University of Copenhagen, Denmark - Master Studies, August 2009 - September 2011
  MSc in Computer Science
West University of Timisoara, Romania - Master Studies, September 2009 - July 2011
  MSc in Artificial Intelligence and Distributed Computing
West University of Timisoara, Romania - Bachelor Studies, September 2006 - July 2009
  BSc in Computer Science (English)


Programming Languages
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Python, Java, C♯, Bash


Peer Reviewed Publications
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Radu Dragusin, Paula Petcu, Christina Lioma, and Ole Winther. Zebra: searching for rare diseases - A case of task-based search, submitted to the Task Based and Aggregated Search Workshop, ECIR (2012) 
Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik Jørgensen, and Ole Winther, Rare Disease Diagnosis as an Information Retrieval Task, in Proceedings of 3rd International Conference on the Theory of Information Retrieval 2011, Lecture Notes in Computer Science, Springer (2011), doi:10.1007/978-3-642-23318-0_38
Radu Dragusin, and Paula Petcu, PyAlg: An Algorithm Learning Platform, in Proceedings of the 5th International Conference on Virtual Learning, Bucharest University Press (2010), ISSN: 1844-8933


Publications Pending Review
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Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik L. Jørgensen, Ingemar Cox, Lars K. Hansen, Peter Ingwersen, and Ole Winther. Zebra: a vertical search engine for rare diseases, submitted for publishing to the International Journal of Medical Informatics (2012)


Master Thesis
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Radu Dragusin, and Paula Petcu. A Vertical Search Engine Supporting the Diagnosis of Rare Diseases. Copenhagen, August 2011. (available at: http://www.dragusin.ro/ThesisDIKU.pdf; project webpage: cogsys.imm.dtu.dk/rarediseases/)


Projects
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IEEE log – a data breach I discovered in September 2012, prevented the release of personal details for close to 100,000 engineers and scientists, as detailed at ieeelog.com/ and reported in more than 100 news articles in more than 20 languages (ieeelog.com/ieee-breach-in-press/) 
FindZebra - a vertical search engine optimised for the task of diagnosing rare diseases (available at: http://www.findzebra.com)
RareDisSS - a vertical search engine for rare diseases, the subject of the 2011 paper and of my master thesis (code available at: code.google.com/p/raredisss/)
PyAlg - an algorithm learning platform, the subject of the 2010 published article (code available at: code.google.com/p/pyalg/)
MalcolmFS - a stackable versioning file system implemented in Python (code available at: code.google.com/p/malcolm/)


References
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Ole Winther (owi@imm.dtu.dk), PhD, Associate Professor, Intelligent Signal Processing, Informatics and Mathematical Modelling, Technical University of Denmark (DTU); Joint group leader, Gene Regulation, Bioinformatics, University of Copenhagen (KU)
Christina Lioma (c.lioma@diku.dk), PhD, Assistant Professor, Department of Computer Science (DIKU), University of Copenhagen (KU)
Birger Larsen (blar@iva.dk), PhD, Associate Professor, Research group leader, Information Systems and Interaction Design, Royal School of Library and Information Science (IVA), Copenhagen.
Marcos Vaz Salles (vmarcos@diku.dk), PhD, Assistant Professor, Department of Computer Science (DIKU), University of Copenhagen (KU)
Jyrki Katajainen (jyrki@diku.dk), PhD, Associate Professor, Leader of the Performance Engineering Laboratory, Department of Computer Science (DIKU), University of Copenhagen (KU)