International Experts in the Faculty of Computer Science
An important step in integrating the university into the global educational, scientific and research space is the expansion of international recruiting. Since its very first year, the Faculty of Computer Science at the Higher School of Economics has had a foreign professor working on staff. In 2015, four internationally recruited experts teach and conduct research in the faculty.
Geoffrey Decrouez has worked in the faculty since 2014. He currently teaches the courses Modern Methods of Decision Making and Probability Theory and Mathematical Statistics in the Data Science Master's programme. Geoffrey is a graduate of the Master's programme at the Grenoble National Polytechnic Institute (INPG); he received his PhD at the University of Melbourne (Australia).
Bruno Bauwens, an expert in Kolmogorov complexity, received his PhD from Ghent University in Belgium, after which he held post-doctoral fellowships at Porto University (Portugal), as well as at the University of Montpellier and University of Lorraine (both in France). He has worked at the HSE Faculty of Computer Science since September 2015.
‘I experience Moscow in a very similar way as Belgium. We also have a culture of faithful pessimism. Of course, I’m impressed by the mathematical history and general level of mathematical skills of PhD students here in Moscow. I’m also impressed by the pedagogical talents of teachers at HSE. When I’m spying in the auditoria, I see there is often a lot of interaction between the teacher and the students, even when teaching abstract and complicated topics. In the Russian language lessons, there is loads of fun and laughing…’
Attila Kertesz-Farkas received his PhD at the University of Szeged (Hungary), after which he worked at the University of Maryland (USA) and later held post-doctoral fellowships at the University of Trieste (Italy) and the University of Washington (Seattle, USA). He has been at the HSE Faculty of Computer Science since September 2015.
‘Before coming here I was a postdoc at the University of Washington in Seattle and I spent lots of time on what I really want to do in my professional career. I had several opportunities in the U.S., but unfortunately none of them seemed the right one. Then I found this opportunity at HSE in Moscow, which gives me everything I was looking for in a good job: freedom in research, a `nice city and culture to live in, and close to my home (in Hungary). I cannot imagine a better job offer than I have here at HSE. My wife is also very happy about this opportunity, as she is Muscovite.
‘I am developing novel Machine Learning and Data Mining algorithms for real-life applications. Within this I have different projects; for instance, I am currently working on a new deep learning method for matching biomolecular data. Lately, I have become interested in analyzing human motion data captured via mobile phone sensors.’
HSE has teamed up with the University of California at San Diego (ranked 14th on the ARWU ranking, 41st on THE, and 59th on QS) to launch the new Data Structures and Algorithms specialization on Coursera. The specialization is taught completely in English and consists of five interrelated courses. Registration is open until March 7.
Bruno Bauwens, an expert in Kolmogorov complexity, is a new recruit at the HSE Faculty of Computer Science. He started in September 2015. Bruno received his PhD from Ghent University in Belgium, after which he held postdoctoral fellowships at Porto University (Portugal), as well as at the University of Montpellier and University of Lorraine.
The Summer School on Machine Learning in High Energy Physics, which was co-organised by the HSE Faculty of Computer Science and Russian internet company Yandex, has ended. Below, the Head of HSE's Laboratory of Methods for Big Data Analysis, Andrey Ustyuzhanin, talks about the various ways in which physicists and programmers cooperate. He also discusses how researchers from HSE and Yandex have been participating in CERN experiments and how ordinary smartphone users can help unravel the secrets of the universe.
Vladimir Gromov graduated with a Bachelor’s degree in Software Engineering from the Faculty of Business Informatics. Completed his Masters on the Double Diploma programme at HSE and TU/e — Eindhoven Technical University.Currently lives in the Netherlands and works as a software engineer with UL Transaction Security.
The Faculty of Computer Science is only one year old – it was founded March 28, 2014 – but it already has a rich history and ambitious plans. Ivan Arzhantsev, Dean of the Faculty of Computer Science, spoke to The HSE Look about highlights from the past year, current research focuses, and the faculty’s plans for the future.
Two HSE students have won the Anita Borg Memorial Scholarship, founded by Google to support women studying computer technology. The scholarship is awarded for academic achievement, leadership qualities and interest in computer sciences.
HSE and Yandex have opened a laboratory for methods of Big Data analysis at the HSE Computer Science Faculty (LAMBDA). The purpose of the new academic research lab is to create a world-class research centre to solve fundamental issues in computer science and develop methods for processing and analysing Big Data.
The HSE Faculty of Computer Science, where international specialists teach alongside Russian professors and one Master’s programme on systems and programming engineering is taught entirely in English, has launched a public colloquium. The colloquium — a faculty-wide seminar — is a platform for teachers, research fellows, graduates and undergraduates and anyone interested in computer science to discuss and exchange opinions and information. The only rule for the colloquium is that whoever wants to talk about their new research results or issues related to computing must use language that everyone can understand.
The Summer School on Operational Research and Applications, which took place as part of the International Conference on Network Analysis, ended on May 18 at HSE’s campus in Nizhny Novgorod.