Chulalongkorn University, Faculty of Science, Smart Classroom 309, Mahamakut Building
March 30, 2023
10.15 am
10.15 am
The Next Big Thing
series of lectures by Skoltech professors & H.R.H. Princess Maha Chakri Sirindhorn Skoltech MSc Scholarships Program introduction
about the scholarship
full tuition waiver
monthly stipend starting from 40,000 Russian Rubles and ranging up to 55,000 Russian Rubles
reimbursement of travel expenses between Thailand and Russia
medical and
travel insurance
industry immersion & academic mobility programs
about the lecture
"The Next Big Thing" is a series of lectures by Skoltech professors, where prospective students and research fellows will have the opportunity to gain valuable insights into the latest developments in STEM fields such as AI, modern materials chemistry, 5G/6G, smart grid technologies, and more.
The event will feature keynote speeches from esteemed Skoltech professors who will present their cutting-edge research in an engaging and accessible manner. The event aims to provide attendees with a deeper understanding of the current state of research in various fields and to inspire them to pursue their own research goals. BSc students in their 2nd to 4th year, as well as faculty members and researchers, are invited to join Skoltech for this event, where they will have the chance to hear from experts in their field and gain valuable insights that can shape their future career.
The event will feature keynote speeches from esteemed Skoltech professors who will present their cutting-edge research in an engaging and accessible manner. The event aims to provide attendees with a deeper understanding of the current state of research in various fields and to inspire them to pursue their own research goals. BSc students in their 2nd to 4th year, as well as faculty members and researchers, are invited to join Skoltech for this event, where they will have the chance to hear from experts in their field and gain valuable insights that can shape their future career.
schedule
10.15
H.R.H. Princess Maha Chakri Sirindhorn scholarship introduction
Q&A
Smart house devices and coordinating EV charging protocols for grid flexibility, by Skoltech Professor Elena Gryazina
Machine learning in 5G/ 6G protocols by Skoltech Professor Alexey Frolov
10.30
11.00
11.40
speakers
Elena GryazinaSmart house devices and coordinating EV charging protocols for grid flexibility
Alexey FrolovMachine learning
in 5G/ 6G protocols
Alexey Frolov
Head of Research Group, Project Center for Next Generation Wireless and IoT
Dr. Alexey Frolov received the M.Sc. degree in computer science from Bauman Moscow State Technical University (BMSTU) in 2010, the Ph.D. degree in mathematics from the Institute for Information Transmission Problems (IITP), Russian Academy of Sciences (RAS), in 2012 and the D.Sc. degree in mathematics from Moscow Institute of Physics and Technology (MIPT) in 2021. He is currently a Full Professor at the Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia. His research interests include information theory and its applications in telecommunications, storage systems, and other areas. He was a recipient of the IEEE GLOBECOM Communication Theory Symposium Best Paper Award in 2020, the Russian Government Award in Science and Technology for Young Scientists in 2016 and the Moscow Government Award for Young Scientists in 2013.
Dr. Alexey Frolov received the M.Sc. degree in computer science from Bauman Moscow State Technical University (BMSTU) in 2010, the Ph.D. degree in mathematics from the Institute for Information Transmission Problems (IITP), Russian Academy of Sciences (RAS), in 2012 and the D.Sc. degree in mathematics from Moscow Institute of Physics and Technology (MIPT) in 2021. He is currently a Full Professor at the Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia. His research interests include information theory and its applications in telecommunications, storage systems, and other areas. He was a recipient of the IEEE GLOBECOM Communication Theory Symposium Best Paper Award in 2020, the Russian Government Award in Science and Technology for Young Scientists in 2016 and the Moscow Government Award for Young Scientists in 2013.
Elena Gryazina
Director of Energy Systems MSc Program
Elena Gryazina graduated with honors from Moscow Institute of Physics and Technology and got her Candidate of Sciences degree from the Institute of Control Sciences, Russian Academy of Sciences, under supervision of Prof. Boris Polyak. Her thesis was related to the structure of stability domain in parameter space for linear systems control exploiting algebraic geometry technique for this engineering problem. Later on she was involved in research in randomized methods in control and optimization.
Her areas of interest are very broad and include robust control, convex and nonconvex optimization, Markov Chain Monte Carlo methods, PageRank problems. At the Institute of Control Sciences Elena participated in joint research projects Robust and adaptive control of complex systems (2008-2010) with CNRS France; New Monte-Carlo-like methods in control, and applications within information-technology (2008-2010) and Signal identification and estimation methods for cognitive radio wireless networks (2011-2013) with Politechnico di Torino, Italy. She was a postdoc in Universite Joseph Fourier, Grenoble, France, and a visiting researcher at the University of Bergamo, Italy.
In addition to research activities, Elena is teaching Convex Analysis and Optimization at the Yandex Data Analysis School. She is a secretary and a program manager of the steering committees of Russian traditional summer schools for young researchers Control, Information and Optimization. Elena served as a Grand Award Judge at the Intel International Science and Engineering Fair in 2012 as well as at Rost ISEF (Intel affiliated contest) in 2013-2014.
Elena Gryazina graduated with honors from Moscow Institute of Physics and Technology and got her Candidate of Sciences degree from the Institute of Control Sciences, Russian Academy of Sciences, under supervision of Prof. Boris Polyak. Her thesis was related to the structure of stability domain in parameter space for linear systems control exploiting algebraic geometry technique for this engineering problem. Later on she was involved in research in randomized methods in control and optimization.
Her areas of interest are very broad and include robust control, convex and nonconvex optimization, Markov Chain Monte Carlo methods, PageRank problems. At the Institute of Control Sciences Elena participated in joint research projects Robust and adaptive control of complex systems (2008-2010) with CNRS France; New Monte-Carlo-like methods in control, and applications within information-technology (2008-2010) and Signal identification and estimation methods for cognitive radio wireless networks (2011-2013) with Politechnico di Torino, Italy. She was a postdoc in Universite Joseph Fourier, Grenoble, France, and a visiting researcher at the University of Bergamo, Italy.
In addition to research activities, Elena is teaching Convex Analysis and Optimization at the Yandex Data Analysis School. She is a secretary and a program manager of the steering committees of Russian traditional summer schools for young researchers Control, Information and Optimization. Elena served as a Grand Award Judge at the Intel International Science and Engineering Fair in 2012 as well as at Rost ISEF (Intel affiliated contest) in 2013-2014.
about Skoltech
Skoltech is a new international English-speaking STEM university that was founded by the group of world-renowned scientists in 2011 in Moscow, Russia. In just 10 years, Skoltech united dozens of researchers and globally renowned professors, built a stunning campus, set up world-class labs and made it to the top 100 young universities in the Nature Index.
registration
By continuing registration, you agree to the Regulations on the processing of personal data of the Autonomous non-profit educational organization of higher education "Skolkovo Institute of Science and Technology"