Lectures (2017)

 

Eric Bolo and Nicolas Seichepine (Batvoice Technologies)

Automated Conversational Analysis for Predictive Analytics  

A serial startupper, Eric Bolo is currently CTO at Batvoice, where he works on voice-powered machine learning and product development. Eric also co-founded Keela.co, a tech-for-good productivity platform for NGOs.

Nicolas Seichepine is an engineer at the École des Ponts ParisTech, where he specializes in the field of applied mathematics. He then deepened his training in signal processing and machine learning in the ENS Master MVA. Working for more than three years in the LTCI laboratory (Télécom ParisTech) on big data processing issues, Nicolas Seichepine joined Batvoice Technologies in October 2016.

 

Laurent Boudin (LJLL, UPMC)

Recent mathematical and modelling developments about the Hegselmann-Krause model

Laurent Boudin is associate professor in mathematics at UPMC since 2001, and a member of the Jacques-Louis Lions Lab (LJLL). His research activities are mainly focused on the applications of mathematics for complex systems in social sciences and in fluid mechanics (engineering, life sciences).

Raja Chatila (ISIR, UPMC)

 

Chloé Clavel (LTCI)

Challenges and methods for the analysis of opinions in interactions 

Chloé Clavel (https://clavel.wp.imt.fr/) is Associate Professor in affective computing at LTCI Laboratory. Her research focuses on two main issues: acoustic analysis of emotional speech and opinion mining through natural language processing. After her PhD, she worked in the laboratories of two large French companies, namely Thales Research and Technology and EDF Lab, where she developed her research around audio and text mining applications. Since she joined LTCI, she has set her research on interactions between humans and virtual agents, from users' socio-emotional behavior analysis to socio-affective interaction strategies. She is teaching and coordinating different courses and labs on machine learning, natural language processing, emotional speech analysis and speech processing at Telecom-ParisTech, one of the top French public institutions of higher education and research (Grandes écoles) of engineering in France. She has participated and is currently contributing to several collaborative european and national projects on Affective computing (ex: EU-ICT aria-valuspa, Labex smart, etc.).

Jean Daunizeau (ICM)

On the adaptive fitness of the social sense: lessons from Bayesian Decision Theory  

 

Jacques Dubucs (CNRS, Université Paris-Sorbonne)

Influencing Opinion, Influencing Behavior

Jacques Dubucs holds a CNRS senior scientist position in the "Sciences, Normes, Décision" Laboratory at Paris-Sorbonne University. His research interests are at the frontier of philosophy, logic and cognitive science. More here. 

 

Benoît Girard (ISIR, UPMC) 

Reinforcement learning in animals, from the standpoint of navigation 

Benoît Girard (http://people.isir.upmc.fr/girard) is a Research Director of the CNRS, currently working at the Institut des Systèmes Intelligents et de Robotique (ISIR, UPMC/CNRS). He does a lot of computational neuroscience, and a bit of adaptive robotics, focusing on decision-making, action selection and reinforcement learning.

 

Mehdi Khamassi (ISIR, UPMC)

Practical lab on model-based and model-free reinforcement learning algorithms

Dr. Mehdi Khamassi (http://people.isir.upmc.fr/khamassi) is currently a permanent research scientist at the French National Center for Scientific Research (CNRS) in the Institute of Intelligent Systems and Robotics (ISIR) at Université Pierre et Marie Curie - Paris 6 (UPMC). He is also a Visiting Researcher in the Robotics Lab of the National Technical University of Athens, Greece, and in the Department of Experimental Psychology at the University of Oxford, UK. He obtained his Habilitation to Direct Researches in Biology from UPMC in 2014. His interests include decision-making, reinforcement learning, performance monitoring and reward signals during social interactions.

 

Sylvain Lamprier (LIP6, UPMC)

Information Diffusion on Social Networks 

Sylvain Lamprier completed a PhD on Information Retrieval  at the LERIA of Angers in 2008, for which he obtained the first thesis 2009 price from the french association for artificial intelligence (AFIA). Then, he joined in 2009 the machine learning team (MLIA) of LIP6 (UPMC) as an assistant professor. His current main research topics concern learning problems for temporal dynamics extraction and prediction, especially from social data.

 

Vincent Perlbarg and Louis Puybasset (LIB)

Influence of biomarkers on medical decisions

Mathias Pessiglione (ICM)

Why don't you try harder? Computational approach to motivation deficit  

Mathias Pessiglione is Research Director at the Inserm. He is leading the "Motivation, Brain & Behavior" team at the ICM (Institut du Cerveau et de la Moelle, Hôpital de la Pitié-Salpêtrière, Paris). He is also the Head of the Prisme platform for the exploration of human behavior. His main research question is how the brain motivates the behavior, in both normal and pathological conditions. To address this question, he combines various approaches: behavioral testing, computational modeling, functional neuroimaging, pharmacology and neuropsychology.

 

Laure Rondi-Reig (IBPS, UPMC)

The Cerebellum: a link between sensory processing, memory and Goal directed behavior? 

 

Liane Schmidt (ICM)

Toward a motivational side of placebo effects: Placebo enhances wanting and liking

Liane Schmidt is a postdoctoral fellow at INSEAD and the Laboratoire de Neurosciences Cognitives at ENS. Her scientific background stems from cognitive and decision neurosciences. She earned her PhD at UPMC Paris, for her investigation of incentive motivation in humans. Her research interests aim at a better understanding of the neural underpinnings of expectancy effects on memory, learning and decision-making in healthy humans and patients with psychiatric, neurological and nutritional disorders. In her current work at INSEAD she investigates how expectancy is affected by gut signals on a behavioral and neural level.

Alessandro Zanasi (Zanasi & Partners)

Fake News, Fake Opinions: Big Data induced or Big Data solved? Cognitive Biases and the Opinion building

 Full Member of European Commission ESRAB/ESRIF (Security Research Advisory Board/Innovation Forum).

 IBM researcher in Big Data analytics in Paris (F) and San Josè (USA). Responsible of IBM Intelligence for South Europe, Middle East and Africa.

 Professor of Text Mining and Intelligence Techniques at Bologna, Paris, Rome Universities.

 Carabinieri officer at Rome Scientific Investigations Centre, charged of electronic intelligence.

 Graduation in Nuclear Engineering (Bologna Univ.) and Economics (Modena Univ.)