SIAM  Conference on Image Science

June 5-8, 2018
Bologna Italy
Within the SIAM Conference on Imaging Science, I organize a symposium
 on "Dimensionality Reduction Algorithms for

Large-Scale Images". The symposium will have a strong focus on image
processing and analysis across different scales, including new numerical,
and optimization
methods for large-scale data mining, modelling and
reduction. Problems
of interest include but are not limited to:

- Neuroimaging,
- Medical Imaging
- Bio Imaging
- Manifold Learning Algorithms to Data Reduction
- Linear and Nonlinear Methods to Functional Connectivity
- Uncertainty Quantification approaches
- Parallel and GPU Computing techniques
- Numerical methods for Image Registration
- Segmentation Analysis Techniques
- Machine Learning-Artificial Intelligence Techniques
- Pattern Recognition
Constantinos Siettos
Constantinos Siettos
Associate Professor
Computational Science & Engineering

National Technical University of Athens
School of Applied Mathematics and Physical Sciences
Section of Mechanics,
9, Heroon Polytechniou str.    
GR 157 80 Polytechnioupoli, Zografos, Athens
Tel.: +30-210-772 3950 (office)
e-mail: ksiet@mail.ntua.gr 








Research Interests

Funding
Academic Positions

Teaching

2004-present,  Faculty, School of Applied Mathematics & Physical Sciences, NTUA


2012, Visiting Professor, Princeton University, USA

2001-2004,  Post-Doctoral Fellow/Research Associate, Princeton University, USA



People
Selected  Publications
Education/ Training

Post-Doctoral Fellow, Princeton University, USA, 2001-2004
Ph.D., School of Chemical Engineering, National Technical University of Athens, 2000
Diploma,  Industrial Management, University of Piraeus, 2001
Diploma,  Chemical Engineering, National Technical University of Athens,1994


Plenary Talks/ Ιnvited Presentations/ Visiting


Editing of Journals/ Organization of Conferences/ 
Professional Service
                                                                                                                                  Computing Facilities