*Robotics, kinematics and manipulation, autonomous systems, embedded systems, computer vision and robotic perception, pattern recognition, time series prediction *Statistics and data management, analysis and visualization *Optimization and machine learning techniques,including support vector machines, reservoir computing and deep neural networks, evolutionary algorithms, genetic programming, model predictive and adaptive control. *Signal and image processing *Programming: C, C++, Python, Matlab, Java, Basic, Assembly (x86, AVR), CUDA/OpenCL, OpenGL, SQL, MapReduce, Disco, Hadoop

AI Witch Doctor - Advanced Concepts Team @ Conduct research into deep learning and evolutionary algorithms for potential space applications as part of the Agency's future planning directive. Topics include spacecraft control, developmental robotics, perceptive systems, optimization methods, extreme machine learning, etc. Monitor, perform and foster multidisciplinary research as part of ESA's Advanced Concepts Team think tank. Provide support to decision makers within ESA and external entities. Monitor emerging and potentially disruptive technologies, appraise their potential future impact for space and provide recommendations. Establish and maintain relations with Universities and interested parties. From October 2013 to September 2014 (1 year) Teaching Assistant - Artificial Intelligence @ Guiding and grading undergraduate students through practical assignments on artificial intelligence related topics. From February 2012 to April 2012 (3 months) Teaching Assistant - Autonomous Systems @ Guiding and grading undergraduate students through robotics practical assignments. Responsible for the maintenance and supervision of the robot lab and the fleet of Nao and Pioneer robots. From April 2011 to June 2011 (3 months) Founder/Owner/Manager @ Internet services company providing internet access services for the Romanian retail market, particularly targeting low income households with regional development in aim. From June 2006 to July 2009 (3 years 2 months)

Msc., Artificial Intelligence @ Rijksuniversiteit Groningen From 2009 to 2012 Osaka University From 2010 to 2010 Dipl. Ing., Electronics @ Universitatea „Politehnica” din București From 2004 to 2009 Paul Neculoiu is skilled in: Artificial Intelligence, Neural Networks, Machine Learning, Pattern Recognition, Computer Vision, Robotics, Linux, Image Processing, C++, Algorithms, Signal Processing, Embedded Systems, Matlab, Python, Science, Programming, Data Mining, Statistics, LaTeX, Computer Science, Java, Optimization, Digital Image Processing, Reinforcement Learning, Modeling, Mobile Robotics, Evolutionary Algorithms, UAV, Data Analysis, C, Simulation, Microsoft Office, English, Evolutionary Computation, Soft Computing, Intelligent Systems, Chaos Theory, Stock Trading, Game AI, Artificial Life, Human-robot Interaction, Visual Perception, Experimental Research, OpenGL, Computational..., Deep Learning, Predictive Analytics, MapReduce, Disco, Hadoop