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Alireza Modirshanechi
I am a computer science Ph.D. student in the Laboratory of Computational Neuroscience at EPFL where I work on computational models of learning and decision-making in the brain - under the supervision of Prof. Wulfram Gerstner. My main track of research focuses on (i) mathematical definitions of surprise and novelty, (ii) their influence on human behavior, and (iii) their manifestation in physiological measurements. I use statistical inference, information theory, and reinforcement learning to develop theoretical models which I test against behavioral and physiological data. I have worked with EEG, MEG, fMRI, and single neuron recordings.
Prior to joining EPFL, I received my B.Sc. in Electrical Engineering from the Sharif University of Technology, Tehran. During the last two years of my study, I did a few research projects in the Augmented Intelligence Research Lab (AIR Lab) under the supervision of Prof. Hamid Aghajan. My projects were mainly on (i) studying biomarkers of surprise in EEG signals, (ii) decoding surprise using these biomarkers, and (iii) fMRI-based classification of visual and auditory stimuli.
You can find my random scientific notes and educational articles here in my Medium account, and more information about me on my personal website.
Guillermo Ortiz Jimenez
I received my BSc. in telecommunications engineering (Valedictorian) from Universidad Politecnica de Madrid (UPM), Spain, in June 2015, and my MSc. in electrical engineering (Best Graduate, cum laude) from Delft University of Technology (TU Delft), The Netherlands, in August 2018. During my studies, I held positions at the Microwaves and Radar Group of UPM during 2015-2016 and at Philips Healthcare Research in Hamburg (Germany) during summer 2017. I am now working towards my PhD. thesis at the Signal Processing Laboratory 4 under the supervision of Prof. Pascal Frossard. My current research focuses on understanding deep learning by studying the complex interactions between datasets, architectures and optimization. In my work, I am providing a novel framework to design better and more reliable neural networks that exploit prior knowledge about the world. I am the recipient of a National Award for Excellence in Academic Performance from the Ministry of Education of Spain, a la Caixa Postgraduate Fellowship, and the Best Graduate award both at UPM and TU Delft.