Curriculum Vitae - Jarkko Ylipaavalniemi

updated 5.3.2012

Education

• Postgraduate Student: Aalto University, Finland (Current)
  Department: Information and Computer Science
  Major: Computer and Information Science
  Minor: Cognitive Science
  
  
• Master of Science (Technology): Helsinki University of Technology, Finland (2005)
  Department: Computer Science and Engineering
  Major: Computer and Information Science
  Minor: Industrial Management
  
  
• Military service: ViestiR - Riihimäki, Finland (1998)
  Rank: Lance Corporal
  
  
• Matriculation examination: Espoonlahden Lukio, Finland (1997)
  
  
• Language skills: Finnish native, English fluent, Swedish adequate

Work experience

• Adaptive Informatics Research Centre - Helsinki University of Technology
  Researcher 22.3.2005 -
  Teaching Assistant on Image Analysis in Neuroinformatics 2008 -
  Teaching Assistant on Signal Processing in Neuroinformatics 2007 -
  Research Assistant 1.6.2003 - 21.3.2005
  Analysis of functional brain imaging data with adaptive unsupervised methods. Pursuing a doctoral degree.
  
  
• Arcus Software Oy
  Software Engineer 8.2.2000 - 31.7.2002
  Development of tools and algorithms for 3-dimensional urban and terrain modeling and visualization.
  

Grants and Memberships

• Helsinki Graduate School in Computer Science and Engineering (HeCSE)
  Funded Position 1.1.2009 - 31.12.2009
  Adjunct Position 1.1.2008 - 31.12.2008
  
  
• Jenny ja Antti Wihurin rahasto
  Personal Stipend 7.10.2008
  
  
• Tekniikan Edistämissäätiö (TES)
  Personal Stipend 31.5.2009
  Personal Stipend 31.5.2007
  

Publications

• N. Reyhani, J. Ylipaavalniemi, R. Vigário and E. Oja. Consistency and asymptotic normality of FastICA and Bootstrap FastICA.
  In Signal Processing, In press 2012.
  
  
• J. Karhunen, T. Hao and J. Ylipaavalniemi. A Generalized Canonical Correlation Analysis Based Method for Blind Source Separation from Related Data Sets.
  In Proceedings of the 2012 IEEE International Joint Conference on Neural Networks (IJCNN 2012),
  In press, Brisbane, Australia, June 2012.
  
  
• J. Ylipaavalniemi, N. Reyhani and R. Vigário. Distributional Convergence of Subspace Estimates in FastICA: A Bootsrap Study.
  In Proceedings of the 10th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2012),
  pages 123-130, Tel Aviv, Israel, March 2012.
  
  
• J. Karhunen, T. Hao and J. Ylipaavalniemi. A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets.
  In Proceedings of the 10th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2012),
  pages 91-98, Tel Aviv, Israel, March 2012.
  
  
• J. Ylipaavalniemi, E. Savia, S. Malinen, R. Hari, R. Vigário and S. Kaski. Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli.
  In NeuroImage, issue 48(1), pages 176-185, October 2009.
  
  
• J. Ylipaavalniemi and J. Soppela. Arabica: Robust ICA in a Pipeline.
  In Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation (ICA 2009),
  pages 379-386, Paraty, Brazil, March 2009.
  
  
• J. Ylipaavalniemi and R. Vigário. Matching complex activation patterns with features of natural stimuli.
  In Conference Abstracts of the 1st INCF Congress of Neuroinformatics: Databasing and Modeling the Brain (Neuroinformatics 2008),
  page 71, Stockholm, Sweden, September 2008.
  
  
• J. Ylipaavalniemi and R. Vigário. Analyzing Consistency of Independent Components: An fMRI Illustration.
  In NeuroImage, issue 39(1), pages 169-180, January 2008.
  
  
• J. Ylipaavalniemi and R. Vigário. Subspaces of Spatially Varying Independent Components in fMRI.
  In Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation (ICA 2007),
  pages 665-672, London, UK, September 2007.
  
  
• J. Ylipaavalniemi, E. Savia, R. Vigário and S. Kaski. Functional Elements and Networks in fMRI.
  In Proceedings of the 15th European Symposium on Artificial Neural Networks (ESANN 2007),
  pages 561-566, Bruges, Belgium, April 2007.
  
  
• J. Ylipaavalniemi, S. Mattila, A. Tarkiainen and R. Vigário. Brains and Phantoms: An ICA Study of fMRI.
  In Proceedings of the 6th International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2006),
  pages 503-510, Charleston, SC, March 2006.
  
  
• J. Ylipaavalniemi. Variability of Independent Components in functional Magnetic Resonance Imaging.
  Master's Thesis, Espoo, Finland, March 2005.
  
  
• J. Ylipaavalniemi and R. Vigário. Analysis of Auditory fMRI Recordings via ICA: A Study on Consistency.
  In Proceedings of the 2004 IEEE International Joint Conference on Neural Networks (IJCNN 2004),
  pages 249-254, Budapest, Hungary, July 2004.
  

Referee duties

• The 9th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2010)
  
  
• NeuroImage (2008)
  
  
• International Journal of Systems Science (2007)
  
  
• The 2nd International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2007)
  

Professional knowledge

• Scientific knowledge: Information theory, neural networks, signal processing,
  functional brain imaging, neuroscience, neuroinformatics, computer graphics, software
  architecture, international project management and marketing, etc.
  
  
• Programming languages: C#, C++, Java, Javascript, Pascal, Perl, Python, Ruby,
  Php, Lisp, Scheme, various assemblers, etc.
  
  
• Software: AutoCAD, Maya, 3DStudio, Lightwave3D, Modo, Messiah, Blender,
  Matlab, Mathematica, Maple, MindManager, XMind, Office, OpenOffice, LaTeX,
  ACDSee, Digikam, Inkscape, Photoshop, Acrobat, etc.
  
  
• Operating systems: Amiga, OS X, Windows, Unix, Linux, iOS, Android, Symbian, etc.
  
  
• Networking standards: SQL, XML, HTML, CSS, VRML, TCP/IP, etc.
  

Professional interests

• Researching independent component analysis, canonical correlation analysis,
  source separation, functional brain imaging, neuroscience, computational neuroscience,
  supercomputing and related topics.
  
  
• I have always been interested in 3-dimensional modeling and visualization.
  My experience on the subject ranges from self made computer graphics demos, for
  participating in various competitions, to high-end CAD systems. Building on
  this experience I'm still eager to learn even more.
  
  
• In programming my strong skills are good low- and high-level abstraction,
  particularly in object-oriented designs and making clean and robust implementations.
  Based on my long experience with many languages and environments, I'm interested
  in software design architecture and programming tools.
  

Hobbies

• Running, gym and swimming
• Alpine skiing in various flavors
• Spacecrafts, astronomy and cosmology
• Computer coding, graphics and games