Jakub Smołka

Jakub Smołka
Lublin University of Technology
Institute of Computer Science
Nadbystrzycka 36B, 20­618 Lublin
Phone: +48 81 5384608
email: [email protected]
Research Interests Computer vision, image segmentation and image compression.
Motion analysis, motion capture.
Education
2005­2011 – Ph.D. in Computer Science/Computer Vision. Silesian University of Technology, Faculty Of Automatic Control, Electronics and Computer Science, Institute of Computer Science, Poland. Thesis: “An adaptive system supporting over­segmentation removal in images segmented
by means of watershed transformation”.
1998­2003 – MSc in Electrical Engineering/Computer Science in Engineering. Lublin University of Technology, Poland.
Work Experience
•10/2003­Present – Assistant at the Institute of Computer Science, Faculty of Electrical Engineering and Computer Science, Lublin University of Technology.
•7/2002, 10/2002­6/2003 ­ Internship at the Department of Computer Science, Faculty of Electrical Engineering, Lublin University of Technology
•7­8/2001 – Internship at Linguistic Data Consortium – University of Pennsylvania, Philadelphia, USA
Leadership and organizing activities
•Implementation and administration of eduroam network at Lublin University of Technology (2009­present)
•Administration of the MSDN Academic Alliance program at the Faculty of Electrical Engineering and Computer Science (2003­2009)
Academic Experience
Research activities
•Image segmentation: application of cluster analysis for over­segmentation reduction, hybrid segmentation methods, segmentation driven by quality assessment functions, supervised segmentation
•Image compression: adaptive wavelet compression, perceptual quality measures, parallelization of wavelet compression methods
•Motion analysis: review and analysis of available methods
Teaching
•Algorithms and data structures
•Numerical methods
•Mobile devices programming, Architecture of mobile applications
•Services in wide area networks
•Database systems programming
•Java programming •Pascal programming •Theoretical foundations of computer science
•Optimization methods
Courses and training
•Installing and managing Microsoft Internet Security and Acceleration Server
•Microsoft Windows 2000 Network and Operating System Essentials, Implementing Microsoft Windows 2000 Professional and Server – Microsoft Certified Professional
Publications
Chapters in books:
1.TOPQS color local visual distortion maps, Maria Skublewska­Paszkowska, Jakub Smołka, Advances in intelligent and soft computing 102 – Image Processing and Communications Challenges 3, edited by: Ryszard S. Choraś, Editor­in­Chief: Janusz Kacprzyk, Springer­Verlag Berlin Heidelberg 2001 2.The block adaptive wavelet compression using PQS measure with deblocking filter, Maria Skublewska­
Paszkowska, Jakub Smołka, Aleksander Wojdyga, Computer Graphics. Selected Issues, Scientific editors: Waldemar Wolski, Mariusz Borawski,ISBN: 978­83­7518­241­5
3.The influence of Picture Quality Scale measure on choosing the wavelet transform during image compression, Maria Skublewska­Paszkowska, Jakub Smołka, Lecture Notes in Computer Science 5337, Springer­Verlag Berlin Heidelberg 2009, ISSN 0302­9743 / ISBN 978­3­642­02344­6 4.Comparison of Hierarchical Cluster Analysis Methods Applied to Image Segmentation by Watershed Merging, Jakub Smołka, Maria Skublewska­Paszkowska, Advances in Soft Computing 45 – Computer Recognition Systems 2 (2007), Springer­Verlag, Berlin Heidelberg, ISSN 1615­3871 / ISBN 978­3­540­75174­8
Journal papers:
5.Wavelet Image Compression Adapted by Local Block Visual Distortions, Maria Skublewska­Paszkowska, Jakub Smołka, Aleksander Wojdyga, Polish Journal of Environmental Studies, Vol. 18, No. 3B (2009), 332­340, HARD Publishing Company, Olsztyn, ISSN 1230­1485
6.Improving Performance of Watershed Clustering Algorithm by Using Wavelet Transform, Jakub Smołka, Maria Skublewska­Paszkowska, Aleksander Wojdyga, Polish Journal of Environmental Studies, Vol. 18, No. 3B (2009), 341­346, HARD Publishing Company, Olsztyn, ISSN 1230­1485
7.Parallelizing the Time Consuming Computation of Local Visual Distorions Using Picture Quality Scale Measure, Aleksander Wojdyga, Maria Skublewska­Paszkowska, Jakub Smołka, Polish Journal of Environmental Studies, Vol. 18, No. 3B (2009), 403­407, HARD Publishing Company, Olsztyn, ISSN 1230­1485 8.Usuwanie nadmiernej segmentacji w transformacji wododziałowej za pomocą analizy skupień, Jakub Smołka, Maria Skublewska­Paszkowska, AGH Automatyka, Tom 12, Zeszyt 2, 463­482, ISSN 1429­3447, Kraków 2008 9.Implementation of perceptual measure Picture Quality Scale with neural network to evaluate distortions in compressed images, Maria Skublewska­Paszkowska, Jakub Smołka, Annales UMCS Informatica (2008), Vol 8, No. 2, 51­60, ISSN 1732­1360 10.Watershed merging method for color images, Jakub Smołka, Maria Skublewska­Paszkowska, Annales UMCS Informatica (2008), Vol 8, No. 1, 111­121, ISSN 1732­1360 11.Zastosowanie transformat falkowych Daubechies w kompresji obrazów, Maria Skublewska­Paszkowska, Jakub Smołka, Studia Informatica, Zeszyty Naukowe Politechniki Śląskiej, seria Informatyka, Vol. 29, No. 1 (75), Gliwice 2008 12.Comparison of hierarchical cluster analysis methods applied to image segmentation by watershed merging, Jakub Smołka, Maria Skublewska­Paszkowska, Polish Journal of Environmental Studies, Vol. 16, No. 4A (2007), 299­302, HARD Publishing Company, Olsztyn, ISSN 1230­1485 13.Hierarchical Cluster Analysis Methods Applied to Image Segmentation by Watershed Merging, Jakub Smołka, Annales UMCS Informatica AI 6 (2007) 73­84, ISSN 1732­1360 14.Multilevel Near Optimal Thresholding Applied to Watershed Grouping, Jakub Smołka, Annales UMCS Informatica AI 5 (2006) 191­200, ISSN 1732­1360 15.Watershed Based Region Growing Algorithm, Jakub Smołka, Annales Informatica UMCS AI 3, 169­178, Lublin 2005, ISSN 1732­1360 16.Multi­Class 3D Region Growing Algorithm, Jakub Smołka, Annales Informatica UMCS AI 2, 227­236, Lublin 2004, ISSN 1732­1360
17.Multi­class Region Growing Algorithm, Jakub Smołka, Annales Informatica UMCS AI 1, Lublin 2003, 165, ISBN 83­227­2137­4
Other referred conference and workshop papers:
18.Adaptacyjny system sterujący kompresją falkową obrazu z użyciem miary TOPQS, Maria Skublewska­
Paszkowska, Jakub Smołka, Zeszyty naukowe Wydziału Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej, nr 9, series: ICT Young, 2011, ISBN 978­83­60779­11­8 19.Wavelet image compression controlled by Picture Quality Scale measure, Maria Skublewka­Paszkowska, Jakub Smołka, Organizing Committee of the Symposium PPEE & Seminar BSE, Conference Archives PTETiS, VOL. 25, 2008 20.Porównanie transformat falkowych pierwszej i drugiej generacji w kompresji obrazów, Maria Skublewska­
Paszkowska, Jakub Smołka, Varia Informatica 2008, edited by: Marek Miłosz, Piotr Muryjas, 159­173, Katowice 2008, ISBN 978­83­60810­16­3 21.Aglomeracyjne metody analizy skupień zastosowane do usuwania nadmiernej segmentacji, Jakub Smołka, Maria Skublewska­Paszkowska, XV Krajowa Konferencja Naukowa Biocybernetyka i Inżynieria Biomedyczna, CD artykuł 225, ISBN 978­83­87982­52­2 22.Automatyczny zlewiskowy algorytm rozrostu regionu, Jakub Smołka, Varia Informatica, edited by: Stanisław Grzegórski, Marek Miłosz, Piotr Muryjas, 33­42, Lublin 2006, ISBN 978­83­922646­4­4 23.Szybki algorytm rozrostu regionu oparty na zlewiskach, Jakub Smołka, XIV Krajowa Konferencja Naukowa Biocybernetyka i Inżynieria Biomedyczna TOM 1, edited by: Leszek Rutkowski, 372­377, ISBN 83­921489­3­2
24.Optymalizacja algorytmu rozrostu regionu opartego na zlewiskach, Stanisław Grzegórski, Jakub Smołka,Varia Informatica, edited by: Stanisław Grzegórski, Marek Miłosz, Piotr Muryjas, 23­32, Lublin 2005, ISBN 83­920406­7­8 25.Eksploatacja systemu Dystrybucji Oprogramowania DysOp, Jakub Smołka, Ryszard Haraszczuk, Systemy i sieci komputerowe, edited by: Piotr Muryjas, Marek Miłosz, 99­104, Lublin 2004, ISBN 83­920406­0­0
26.Szybka implementacja podstawowych operacji morfologicznych, Jakub Smołka, Obliczenia naukowe – Wybrane problemy, edited by: St. Grzegórski, M. Miłosz, P. Muryjas, Polskie Towarzystwo Informatyczne, Lublin 2003, 93­101, ISBN 83­914678­7­2
27.C# ­ nowy język programowania na platformie .NET Microsoftu, Jan Smołka, Jakub Smołka, Informatyka Stosowana – VI Lubelskie Akademickie Forum Informatyczne, edited by: P. Muryjas, Lublin 2002, 279­287, ISSN 1231­5990
28.Wykorzystanie OpenGL w różnych środowiskach programistycznych, Jakub Smołka, Informatyka Stosowana – X Mikrokomputerowe Warsztaty Politechniki Lubelskiej, edited by: B. Wit, T. Cieplak, R. Skrzypa, Lublin 2001, 137­149, ISSN 1231­5990