Statistical Learning Research Laboratory
Dr. Stephan Robert, Professor, PhD degree in Computer and Communication Sciences from EPFL. Stephan Robert was born in Neuchâtel, Switzerland. He graduated as an engineer (BSc) in microengineering with first honors. He received the ing. dipl. degree (MSc) in electrical engineering (Maillefer Award) and the « Docteur ès Sciences » degree (PhD) with Prof. Jean-Yves Le Boudec, both from EPFL, Lausanne (Switzerland). From 1996 to 1998, he has been a Post-doctoral Research Fellow at UC Berkeley with Prof. Jean Walrand. He worked as a researcher, consultant, engineer and projects manager for many companies during 8 years: Swisscom (Bern), Huber & Suhner (Herisau), ABB (Turgi), GDA (Bern) and Cisco Systems (San Jose, California). Since 2001, he has been a Professor at the University of Applied Sciences (HES-SO), Yverdon. On the political side he has been a « député » (deputy) at the « Grand Conseil Neuchâtelois« (2005-2009). During his Master’s thesis he developed the first prototype of an SSFIP antenna which is manufactured by Huber+Suhner and widely spread over our country. During his PhD, he discovered new models of Markov chains exhibiting self-similarities over a finite timescales. At Swisscom, he was the project leader of « Mobile Unlimited » (which won the highest application distinction, the GSM award in Cannes, March 2005) during the initiation phase. He was also involved in a number of EU projects for traffic engineering, mobility and wireless communications (UWB) aspects. Now his research interests are on artificial intelligence, machine learning, fraud detection, prediction, scheduling, smart caching and storage of spatio-temporal data. He also served as an editor for IEEE Communications Surveys and Tutorials and as a TPC member of many conferences. During seven consecutive years he organized a summer university with SJSU, PES-IT, CSULB, ASU and now with the extremely competitive Seoul National University (SNU).
Dr. Efstratios Rappos, Research Data Scientist, PhD in Operational Research, Imperial College, UK. MSc in finance University of London. BA and MA in mathematics, University of Cambridge. Dr. Efstratios Rappos (Stratos) is a postdoc at HEIG-VD. He has obtained a Ph.D. in combinatorial optimization / operations research from Imperial College London, a BA and MA in Mathematics from the University of Cambridge and an MSc in Finance from the University of London. He got the Bronze medal at the International Mathematical Olympiads (IMO, 1995). His research interests include mathematical modeling, integer programming, network design, combinatorial optimization, algorithm design and large-scale dataset manipulation. He has worked as a scientific team leader for the UK Department for Work and Pensions (DWP) developing mathematical models for large-scale data mining, cleaning and analysis of social security data, and has also collaborated in several academic EU projects.
Dr. Hugo Flayac graduated from the Blaise-Pascal University (currently Université d’Auvergne) in Clermont-Ferrand, France. He obtained his PhD degree in Theoretical Physics in 2012 which was awarded the best young researcher prize for his work on light-matter interaction in semiconductor nanostructures. Early 2013, he joined the group of Professor Vincenzo Savona at EPFL and worked as a Postoctoral Researcher/Senior Scientist for 5 years in the field of Quantum Photonics. He is currently Ra&D Researcher in the group of Professor Stephan Robert at HEIG-VD. He is in charge of the Artificial Intelligence research effort in building predictive models for healthcare logistics in collaboration with Calyps Switzerland. Publications available at Google scholar.
Dr. Regis Houssou, Research Data Scientist, Ph.D in Financial Mathematics, University of Neuchatel, Switzerland. Master of Advanced Studies (MAS) in Quantitative Finance, ETH Zurich, Switzerland. BSc and MSC in Applied Mathematics, University of Neuchatel. Dr. Regis Houssou obtained his Ph.D. in Financial Mathematics. During his Ph.D, he developed and implemented new quantitative approaches for the pricing of defaultable bonds and credit derivatives. His research interests include Credit Risk Models, Option pricing, Stochastic Processes, Partial Differential Equations, Machine Learning and Statistical Analysis. Dr. Regis Houssou has several years of experience working; he has worked as Quantitative Analyst at Fundo SA in Lausanne, as Statistician at Swiss Institute of Bioinformatics (SIB) in Lausanne and as Data Scientist at the United Nations Migration Agency (IOM) in Geneva. He is currently a Data Scientist at HEIG-Vd, working in collaboration with NetGuardians.
Associated, Former Members and Visitors
Dr. Lanpeng Ji, Research Scientist, now Assistant Professor at the university of Leeds, UK. PhD in Mathematics, University of Lausanne. MSc in Probability Theory, Nankai University, China. BSc in Information and Computer Science, Agriculture University of Hebei, China. Dr. Ji received an award from the Fondation Nicolas and Helena Porphyrogenis (Lausanne) 2014 for his excellent doctoral thesis entitled « Ruin and related quantities in some advanced insurrance risk models ». His research interests include stochastic processes, probability theory and machine learning.
Daejin Choi is a visiting scientist. He is also a Ph.D candidate in Seoul National University, Korea.There are two his research topics: (Internet) Data Science, and Future Internet Technologies. For the data scientist, he focuses on the users’ behaivoral characteristics and content propagation, which published several papers in ACM SIGMETRICS, WWW, and ACM COSN. In the master period, he designed and implemented a Content-Centric Network (CCN) router, which efficiently delivers contents to clients by removing redundant packets in Internet. Currently, he focuses on understanding how users consume online contents and various type of applications based on user consumption patterns. See more details in here (http://mmlab.snu.ac.kr/~djchoi)
Dr. Alexander Feldman, Visiting Research Scientist. Now at PARC, Palo Alto, California, USA. MSc and PhD in Computer Science, TU Delft, The Netherlands. Dr. Alexander Feldman (Alex) is a visiting scientist at HEIG-VD (used to be a post-doc in the same institution). He has obtained his Ph.D. (cum laude) in computer science/artificial intelligence and M.Sc. (cum laude) in parallel and distributed systems from the Delft University of Technology, The Netherlands. He is a visiting researcher at the Delft University of Technology and PARC (former Xerox PARC). He has published in leading conference proceedings and international journals covering topics in artificial intelligence, model-based diagnosis, and engineering. In cooperation with NASA Ames Research Center and PARC, Alexander Feldman has co-organized the First and Second International Diagnostic Competitions. Alexander Feldman’s interest cover wide spectrum including topics such as automated problem solving, software and hardware design, design of diagnostic space applications, digital signal processing, and localization. Prior to the start of his academic career Feldman has several years of experience working for the Market Risk Management of ING Bank, The Netherlands and Zend Technologies, Israel.