Winter School
on Machine Learning
in Robotics
December 7 - 20, 2020
Innopolis/ Russia


A unique opportunity to explore the fundamentals and practical applications of Machine Learning methods in Robotics
COVID-19 | UPDATE
SUMMER SCHOOL on Machine learning in Robotics 2020 IS POSTPONED

As COVID-19 continues to affect life around the globe in unprecedented ways, the safety of our participants, instructors, and staff remains our highest priority.

That is why we have made the decision to offer the Winter School on the same topic. See the application submission deadline updated below.

If you have already applied for the Summer School pn ML in Robotics 2020 programme, please check your email inbox for further information.

We hope you stay safe, and stay healthy.

Innopolis University team

Winter school is organized in 3 stages
The first stage
7-13 December participants will have technical lectures and seminars
The second stage
14-20 December, participants will form mixed teams of 4–6 people and will work on the projects together
After the winter school
Interested students and young researchers will have the possibility to stay for internship at Innopolis University
Winter School Scope & Goals
The International Winter School on Machine learning in Robotics will highlight the powerful combination of Robotics and Machine learning which is opening
the door to entirely new automation possibilities.

The keynote sessions of the school program aim to give a clear overview of ML methods in Robotics with a particular emphasis on
  • Reinforcement Learning
  • Deep Learning

One of the main goals of the Winter School on ML in Robotics is gaining practical experience to put ML theory into practice and make it more relevant for all participants.

We invite students, researchers and professionals to exchange ideas and to be
a part of fascinating conversations on ML in Robotics.
Winter school on ML lasts for two weeks but the knowledge you gain will last forever! Go ahead and press Submit!
Winter School Scope & Goals
The International Winter School on Machine learning in Robotics will highlight the powerful combination of Robotics and Machine learning which is opening
the door to entirely new automation possibilities.

The keynote sessions of the school program aim to give a clear overview of ML methods in Robotics with a particular emphasis on
  • Reinforcement Learning
  • Deep Learning

One of the main goals of the Winter School on ML in Robotics is gaining practical experience to put ML theory into practice and make it more relevant for all participants.

We invite students, researchers and professionals to exchange ideas and to be
a part of fascinating conversations on ML in Robotics.
Winter school on ML lasts for two weeks but the knowledge you gain will last forever! Go ahead and press Submit!
Important dates
September 1
September 1
Submission deadline
October 1
October 1
Acceptance notification
December 7–13
December 7–13
Technical lectures and seminars
December 14–20
December 14–20
Project work (optional)
from December 20
from December 20
Internship (optional)
Program
The school program is designed for two weeks
and consists of three intensive parts:
Theoretical
Lectures conducted by the highly-skilled specialists in the IT field
Practical
Individual and team research projects
Cultural
Excursions and tours around Kazan
Key Speaker and Co-organizer
Stefano Nolfi

  • Research Director of the Italian National Research Council (CNR)
  • Director of the Laboratory of Autonomous Robotics and Artificial Life of the Institute of Cognitive Sciences and Technologies.
  • Professor, Doctor, h-index 57

stefano.nolfi@istc.cnr.it
Jan Peters
  • Professor at Technische Universität Darmstadt and Researcher at MPI for Intelligent Systems
  • h - index - 63

jan.peters@tu-darmstadt.de
Angelo Cangelosi
  • Professor of Machine Learning and Robotics at the University of Manchester (UK)
  • h -index - 41

angelo.cangelosi@manchester.ac.uk
Adil Khan
PhD, Kyung Hee University, South Korea
Head Lab of Machine Learning and Knowledge Representation at Innopolis University

a.khan@innopolis.ru
Audience
  • Undergraduate students (3rd year and above)
  • Graduate and postgraduate students
  • Researchers and industry professionals working in Robotics, Machine learning or related areas, willing to expand their knowledge and skills

Admission Requirements
  • Strong mathematical background
  • Programming skills in at least one of the following languages: C ++ / Java/ Python / MatLab
  • Upper-intermediate knowledge of English
  • Personal computer*

*It is expected that participants will bring their personal computers. Please contact organizers beforehand, if you are not able to bring your personal computer with you.
Registration Fee
Registration fee covers accommodation (at the Campus of Innopolis University), daily meals (breakfast, lunch and dinner), all educational materials and social activities
€ 400
International participants
Application form
₽ 28 000
Russian participants
Application form
Travel
Venue
Innopolis
Transportation
Accommodation
Winter School on ML will take place at Innopolis University. Specializing in the field of modern information technologies, Innopolis University is not only one of Russia's youngest universities, but also the new city's intellectual center. The teaching staff consists of leading Russian and foreign IT specialists and robotic science. Driven by the demands of both business and industry, the educational programs are committed to producing a high-quality stream of professionals for companies located in Innopolis.
Innopolis is a new Russian city, located in the Republic of Tatarstan. The city's economy is based on high-tech industries. In Innopolis, a unique environment has been created that combines a modern residential infrastructure in harmony with the nature, safe environment, and broad opportunities for education and professional development.
Taxi. The road from Kazan to Innopolis takes 40-50 minutes. You can see the route here. Average trip cost from Kazan — 600 rub using Yandex, Uber or Gett taxi services.

Shuttle buses. There are two bus routes from Kazan to Innopolis: 1. "Kombinat Zdorovie" bus stop; 2. "Vostochny" bus station. Here you can see their timetable and route. Ticket price is 100 rub by card.

Transfer. A daily transfer to Innopolis from the main hotels of Kazan will be organized (according to the information from the Registration forms).
The participants will be accommodated in comfortable rooms of at the Innopolis University campus. Each room is equipped with all necessary appliances and new furniture. The photos of University Campus can be found here.
Internship
Internship can last from 2 weeks to 2 months and can be done at any IU lab or at the Center for technologies in robotics and mechatronics components.

By the end of the Winter School the participants will be nominated with the best project award.
Application
The application deadline is the 1st of
September 2020
For application, you will need the items listed below:
CV
max 2 pages including education, work experience and other relevant info
Motivation letter
Application form
Please note that as the number of places is limited, the application may close before the deadline
Name
Surname
Email
Status
Week 1: Lectures
Required to visit as a means of introducing students to the key concepts of ML with application in Robotics
Week 2: Project
Optional to visit. Choose if you wish to stay for project-based learning & testing ML methods in Robotics
Internship
Offers advanced training and work experience in their field of ML and Robotics
Accommodation
You can either stay on IU Campus or off campus at any hotel in Kazan
Visa support
For the international participants seeking visa support
CV
Motivation letter
Committees
Organizing Committee:
General Chair

  • Alexandr Klimchik, Head of the Center for technologies in Robotics and Mechatronics components, PhD, Associate Professor, Innopolis University
Сo-Chair
  • Alexander Maloletov, prof., Dr. Sc. (Phys.-Math.), Innopolis University
Organizing Committee:

  • Igor Gaponov, Associate professor, Candidate of physical and mathematical sciences, Innopolis University
  • Ramil Khusainov, Researcher, Laboratory of Mechatronics, Control and Prototyping, Innopolis University, Ph.D.
  • Alfiia Khabibulina, Innopolis University, Russia
  • Daria Shiyan, Innopolis University


Program committee
General Chair

  • Alexander Tormasov, Rector of Innopolis University
Сo-Chair
  • Iskander Bariev, Vice-Rector for Project, Science and Research Affairs, Innopolis University
Program committee

  • Jan Peters, Professor at Technische Universität Darmstadt and Researcher at MPI for Intelligent Systems
  • Adil Mehmood Khan, PhD, prof. Innopolis University
  • Sergey Savin, Senior Researcher, Laboratory of Mechatronics, Control and Prototyping,Innopolis University, Ph.D.
  • Giancarlo Succi, PhD, prof., Dean of the Faculty of Computer Science and Engineering, Innopolis University
  • Alberto Sillitti, PhD, prof. Innopolis University
  • Stefano Nolfi, Professor, Doctor, Research Director of the Italian National Research Council (CNR), Director of the Laboratory of Autonomous Robotics and Artificial Life of the Institute of Cognitive Sciences and Technologies
  • Angelo Cangelosi, Professor of Machine Learning and Robotics at the University of Manchester (UK)




      School coordinator
      Alexandr Klimchik
      Head of the Center for technologies in robotics and mechatronics components, Innopolis University, Ph.D.,
      Associate professor, h-index 14

      a.klimchik@innopolis.ru
      For the international participants
      For visa support please do not hesitate to contact local organizing committee of Winter School on ML via email mlsummerschool2020@gmail.com. We strongly recommend to apply for visa in advance since this process can take you a long time - up to several months. Interested applicants should send their Application form, CV and Motivation letter by June 1.
      Alumni Testimonials
      Eltun Ibrahimov
      Participant of «The International Project School on Self-driven vehicles, held in April 2019
      As a participant in International Project School on Self-driven vehicles organized by Innopolis University, I would simply state that event was beyond what I was hoping for. International environment, organized sessions and competitions were expected to improve our competency on this trendy area and all participants were highly encouraged to make use of these chances. By taking this opportunity to give feedback on such a valuable event, I would express my deepest gratitude to supervisors, organization team and all heroes behind the scenes. All in all, I am strongly convinced that this event is just a worthwhile example to anticipate the subsequent ones from Innopolis University.
      Marcus Ebner von Eschenbach
      Participant of «The International Project School on Self-driven vehicles, held in April 2019
      Taking part in the project school was a great experience. The project tasks were interesting and ambitious as they required to solve up-to-date challenges in autonomous driving. It was exciting to work with team members of various professional and cultural backgrounds in a friendly but fierce competition.
      Parth Chholak
      Participant of The International double summer school «Robot's cognition, perception and control», held in June 2019
      The summer school was well organised and packed with knowledge and opportunities. The classes were intense, and we were constantly supported by the faculties. The university was well equipped in terms of technology and transport and internet was up to the mark. Last but not the least, there were plenty of informal events and excursions that allowed us to meet other participants and faculties in a relaxed environment and experience the Tatar hospitality!



      Attractions
      Kazan
      Kremlin
      Temple of All Religions
      Bolgar
      Sviyazhsk
      Raifa Monastery
      Cuisine
      Kazan is the capital of the Republic of Tatarstan in Russia. The city is located on the left bank of the Volga at the confluence of the Volga River into the Kazanka River. Kazan is one of the educational, cultural and economic centers of the country. Also, the city is a major river port. The population of Kazan is one million two hundred thousand people. The city was founded by the Volga Bulgars.

      Kazan is a city that combines a kind of cultural flavor of the east and west. Kazan can be divided into two parts: the historic center of the city, located in the south of the river Kazanka, and a modern city with high-rise buildings, modern buildings, shopping and entertainment centers.


      Kazan is an ancient city standing on seven hills. Archaeological research suggests that the capital of modern Tatarstan began to take shape back in the tenth century. Initially, the Kremlin hill and its environs were inhabited by the ancient Bulgars. The walls of the building were erected to strengthen the commercial settlement. Scientists still disagree about the dating of the construction of the citadel. Some believe that the process began in the XII century, others hold the opinion that architects built walls in the XV-XVI centuries by order of the Russian Tsar. The modern architectural complex of the Kremlin was formed by the end of the XIX century and includes the Syuyumbike tower, the governor's palace and the Palace Church. In 2005, the construction of the Kul Sharif mosque, the most famous in Russia and Europe, was completed.
      It unites 16 elements of different religions, both modern - for example, Orthodoxy, Catholicism, Buddhism, Islam, Judaism, etc., and those that have disappeared - for example, the ancient Assyrian religion. It's simply impossible to deny yourself the pleasure of appreciating the art of so many religions!
      The city was founded by the Bulgars - the Turkic-speaking tribes living in the territory of the Volga region. At first it was a small fortification, later it grew to the size of a city. The high bank at the confluence of the Kama and the Volga created excellent conditions for viewing the surrounding area and river navigation. In a short time he became the largest center of trade in his region. Soon after the founding, Islam became the main Bulgar religion. During its heyday, the town was considered one of the centers of handicraft. It was home to many skilled craftsmen, jewelers, blacksmiths and tailors.
      Many believe that he is the prototype of the fantastic island of Buyan, described by Pushkin in The Tale of Tsar Saltan. Tourists from all over Russia and other countries of the world travel to this place at any time of the year. Ivan the Terrible himself decided to build a fortress city after a series of failed operations to capture Kazan. It was necessary to create a strong point to support the army. The island was washed from three sides by the waters of the Pike, Sviyagi and Volga rivers, from the elevated terrain - the Round Mountain - the distant approaches were visible, and most importantly - the island was located at a distance of 24 hours from the capital of the Kazan Khanate. In our time, the island Sviyazhsk turned into one of the key attractions of the Republic of Tatarstan. Travelers are met by white-stone monasteries and golden domes of temples. Wonder Island hospitably welcomes tourists.
      In 1613, a hermit monk named Filaret settled on the shores of Lake Sumy (Raifa) surrounded by forests. So, other monks began to settle near Filaret, and a new monastic settlement appeared. About 60 novices live in the monastery now. It attracts both pilgrims and tourists from all over the country and even abroad. Many come to Raifa for the sake of the holy source, others - to receive peace of mind. Those who wish to plunge into the ice-hole come to the Baptism in the monastery.
      In addition to an extensive excursion program, you have the opportunity to get acquainted with the incredible and amazing cuisine of Kazan and Tatarstan. Culinary traditions of the Tatar cuisine evolved over one century. Keeping their originality, a lot in the kitchen changed: it was improved, enriched with new knowledge and products, which the Tatars learned from their neighbors. The main dishes of Tatar cuisine are: Meat a la Tatar, Ech-pochmak, Peremyach with meat, Talkish-kaleve, Chak-chak and many, many other incredibly delicious dishes.
      Innopolis University, 1, Universitetskaya Str., Innopolis, Russia, 420500


      If you have any questions, please contact our school organizer Alfiia Khabibulina, a.khabibulina@innopolis.ru

      You can visit the page of the last International double summer school «Robot's cognition, perception and control», which was held in June 2019