Doctoral & Postdoctoral Research Fellow @ ▪ Data Science / Analysis, Predictive Modeling, Multivariate Regression ▪ Remote Sensing ▪ Machine Learning ▪ Reasoning with uncertainty ▪ Pattern Recognition and Image Processing applications ▪ Supervised classification (Random Forests, AdaBoost, Bagging, Support Vector Machines - SVM, Neural Networks) ▪ Deductive learning (Fuzzy Dempster-Shafer classifiers) ▪ Dimensionality reduction (Locality Preserving Projections, Neighborhood Preserving Embedding, Isomap, Linear Discriminant Analysis, Principal Component Analysis) ▪ Feature selection (Correlation-based Feature Selector, Best first, Linear Forward Selection, Sequential Floating Forward Selection) ▪ Multiple imputation (Amelia-II, Iterative Robust Model-based Imputation) ▪ Outlier removal (box plot, medcouple, modified Z-scores) ▪ Regression analysis (Generalized Linear Models, Boosted Regression Trees) ▪ Texture analysis (Local Binary Patterns, Local Entropy, Local Variance, Haralick features) ▪ Land cover and habitat mapping ▪ Biophysical parameter extraction ▪ Algorithm design and software development (C/C++, Python, Matlab, Octave, Java) ▪ Open source programming ▪ Statistical Analysis (R), Hypothesis testing ▪ 3D object search and retrieval ▪ Shape descriptor extraction, Shape matching algorithms ▪ Project Proposal writing From December 2009 to Present (6 years 1 month) Computer Lab Assistant @ Lab Assistance and marking in Signal Processing course of the Electrical and Electronic Engineering undergraduate curriculum From February 2011 to May 2011 (4 months) London, United KingdomRemote Sensing applications (intern) @ ▪ Satellite image analysis and processing. ▪ Cloud properties derivation for 3D visualization of atmospheric dynamics. ▪ MODIS atmospheric product analysis. From May 2009 to August 2009 (4 months) Website Developer (intern) @ ▪ Website design and development. ▪ HTML and CSS use. From October 2006 to December 2006 (3 months)

Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering @ Imperial College London From 2010 to 2015 Master of Science (M.Sc.), Space Studies, 80.7/100 @ International Space University From 2008 to 2009 Bachelor (B.Eng.) and Master of Engineering (M.Eng.), Electrical and Computer Engineering @ Aristotle University of Thessaloniki From 2001 to 2007 Zisis Petrou is skilled in: Image Processing, Pattern Recognition, Matlab, Computer Vision, Statistical Data Analysis, Remote Sensing, LaTeX, Machine Learning, C++ Language, Python, Java, HTML, Quantum GIS, GRASS GIS, Recommender Systems