Let's begin 2018 with another non-trivial and interesting topic connected with human-computer interaction - Recognition Morning@Lohika. This time, with our old friend Mykola Maksymenko, and two new friends - Matvii Kovtun, Junior Data Scientist @ Eleks, and Oles Dobosevych, Deputy Dean, Faculty of Applied Sciences @ UCU. The event will take place this January, 27, at Lohika Lviv Office

Mykola Maksymenko

R&D researcher focused on applied Machine Learning, i.e. bio-metric applications, affective computing, signal processing. Holds a PhD in theoretical physics and worked as a researcher in Germany and Israel (Max-Planck Society and Weizmann Institute of Science), developing theory and algorithms for various complex-systems problems spanning from infection propagation in social networks to design of novel quantum states and magnetic materials. His current research touches statistical physics of neural networks and application of tensor network algorithms in machine learning.

How can machine understand Emotions?

Giving machines the power to recognize human emotions is on agenda of many research groups in the world. The technology allows novel fields of human-computer interactions, dubbed Affective Computing, as well as entirely new possibilities for businesses to interact with their customers.

The true Emotion Recognition is far more complex than basic recognition of facial expressions. In practice, it requires acquiring of multi-mode biosignals and behavioral data and a good deal of signal processing and feature engineering game. I will sketch up these technical difficulties of the field and some tricks to deal with them.

Matvii Kovtun, Junior Data Scientist @ Eleks

Matvii Kovtun is Junior Data Scientist at ELEKS and 3rd year student at Faculty of Applied Sciences @ Ukrainian Catholic University. His professional interests are machine learning and computer vision.

Oles Dobosevych, Deputy Dean, Faculty of Applied Sciences @ UCU

Oles Dobosevych is Deputy Dean, Faculty of Applied Science @ Ukrainian Catholic University. Oles has more than seven years of experience in IT industry that varies from web development to personal analytics. Currently, Oles is running his own business, completing Ph.D. thesis in functional analysis and teaching at Ukrainian Catholic University. His professional interests are machine learning and functional analysis.

MNIST Ukrainian Style

Modified National Institute of Standards and Technology (MNIST) dataset of handwritten digits is de facto standard for training various image processing systems. It is popular, high-quality and obviously well-studied. Most of us took their first steps in machine learning using it. But its applicability is сlearly limited to handwritten digits.

During this talk you will be introduced to a collected MNIST-style dataset of handwritten Ukrainian characters. Matvii and Oles will explain how ML algorithms may save paper, time and money in Ukrainian realities.

See you there!

show full info show less info

Who's going?

All visitors
From Lviv
To see your friends at the event, log in via facebook


Download the 2Event mobile app

For organizers and visitors of the events:
  • All events and tickets online
  • List of all visitors
  • Dating and appointments
  • Search fellows, travelers and roommates



Visit website
Share event

Or send an invitation to your friends.

Send invitation
Meeting place:
  • Tables
  • Tables
  • Tables
  • Tables
  • Tables
  • Tables
  • Tables

Subscribe for actions and announcements

City of interest

  • Lviv
  • Kharkiv
  • Dnipro
  • Odesa
  • Kyiv
  • Lviv
  • Kharkiv
  • Dnipro
  • Odesa
  • Kyiv


Aleksandra Mironova
Hey. Do you want to go with me to the speech of Architects?
Hey. Yes of course. This is my favorite band. just tell me a little about yourself first
ok)) give me a minute...
Aleksandra is typing . . .
У вас вже є квиток на цю подію?

Перед тим як створити план поїздки та переглядати доступний транспорт, будь ласка, придбайте квиток на подію

Я буду на цій події Купити квиток
New user? Register
If you already have account on 2Event - please login. Login
Reset password
Create password
Future feature
This feature will appear in the near future.
Back to home
Ви успішно підписались на анонси та знижки від 2event. Приєднуйтесь до нас і в соц. мережах
Wrong email
Back to home
Select city
Select country
Add to Gallery