May 24, 2013, 18:05 – 20:00, Room 209
Under auspices: President Andrzej Żyławski.
Welcome and Keynotes:
The Aalborg Problem Based Learning for Medialogy
Prof. dr. Lise Busk Kofoed, Aalborg University, Denmark
The Duluth Problem Based Learning for Computer Color Vision
Prof. dr. hab. inz. Marian S. Stachowicz, University of Minnesota Duluth, USA,
The Warsaw School of Computer Science, Warsaw, Poland
Keynote Speakers - Biographical Information
Dr. Lise Busk Kofoed is Professor and head of the Medialogy section, Aalborg University, Copenhagen, Denmark. Her research areas are within development of the Problem Based Learning (PBL) concept within engineering educations with special focus on cross disciplinary programs, development of transferable skills in PBL and project work, methods to change management and staff development. Dr. Kofoed is a board member in UNESCO International Centre for Engineering Education for Problem Based Learning, Aalborg University.
Dr. Kofoed has more than 100 publications in books, journal papers and conference proceedings, and has been responsible for several national and international research and developmental projects. Dr. Kofoed holds a Ph.D. in “Working Environment and Learning”.
Professor and Jack Rowe Chair Marian S. Stachowicz heads the Laboratory for Intelligent Systems at the Electrical and Computer Engineering Department, University of Minnesota Duluth, USA. He is also Professor at the Warsaw School of Computer Science, Warsaw, and Visiting Professor at the AGH-University of Science and Technology, Cracow, Poland. He received his M.S. degree in Control and Computer Engineering from LETI, Soviet Union and both his Ph.D. and D.Sc. from AGH - University of Science and Technology, Cracow, Poland. Professor Stachowicz has published 7 books, 130 papers in journals, conference proceedings, and 20 patents. His work centers on artificial intelligence and soft computing, decision analysis and control. Prof. Stachowicz received two prestigious awards for introduction digital fuzzy sets and he is co-author of the Fuzzy Logic Package for Mathematica.
1. Mathematica Image Processing Tutorial
2. Digital Fuzzy Sets for Mathematica
3. Color by Character
4. Road Sign Detection Using Neural Network
5. Color Reduction
6. Increased Data Density Using Color Codes
7. Color Recognition in Tracking Robots
8. Value Recognition of U.S. Postage Stamps
9. Intelligent Wallet
10. Intelligent Stethoscope
11. Algorithms for Vehicle Detection and Tracking
12. Application of Vehicle Detection Software in Traffic Control Systems
13,14. Fuzzy-Neural Control of Film Forming Processes. Parts A and B
15. Human in the Control Loop
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