Invitation to WSPS 7

The Section of Mathematical and Information Sciences of the Association of Hungarian PhD and DLA Students anticipates your attendance at the 7th Winter School of PhD Students in Informatics and Mathematics, which will be held between:
24th – 26th January, 2020 at the University of Pannonia, Veszprém.

The co-organiser and the sponsor of the event is the Faculty of Information Technology of the University of Pannonia.

The aim of our winter school is dual:

  • improve the multidisciplinary scientific network of PhD students by inviting them to present their work in poster sessions, and
  • improve professional skills in an intensive workshop.

Each year, the workshop has a topic relevant for a wide audience. Internationally renowned scientists will give a number of in-depth lectures; these will be accompanied by seminar sessions where attendees will be able to explore topics in an interactive, hands-on way.
This year’s topic is human-computer interaction and artificial intelligence.

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Conference proceedings

Downloadable here.

Poster section and publication

All participants are invited to present their work in the form of posters, be it relevant to the topic of the workshop or to some other area of informatics or mathematics. The printing charge of the submitted posters is included in the registration fee!

All poster abstracts will be published in the conference proceedings, which will have an ISBN number.

Some additional information

Posters and abstracts should be uploaded here after registration.
Accepted formats are:

  • for posters: PDF, in A0 size
  • for abstracts: LaTeX (accepted template can be downloaded from here)


The registration fee is: 29 000 HUF, which covers all expenses, including the meals, the printing of the submitted posters and the accommodation for 2 nights.

Should you have any special requests please contact the organizers directly.

A special price of 19 000 HUF is available for the full members of the Section of Mathematical and Information Sciences of the Association of Hungarian PhD and DLA Students (DOSZ MITO).

The deadline for the registration is the 20th December, 2019 6th January, 2020.

Poster and abstract submission deadlines are the 3rd January, 2020 10th January, 2020.

Registration form

Registration is considered complete when the registration fee is transferred to the bank account of the Association of Hungarian PhD and DLA Students.
Address: 1055 Budapest Falk Miksa utca 1.
Tax number: 18397358-1-41
Bank account: 11600006-00000000-62169239
International bank account: HU50 1160 0006 0000 0000 6216 9239
Name of the bank: Erste Bank ZRt.
The transfer remark should contain the keyword „MITO” and your name.

Please note that places are limited and will be allocated in order of registration.

Planned Program

Feel free to use this calendar event which contains the whole program.

Day 1 – 24th January Friday:

  • 14:00 – 15:00: Registration
  • 15:00 – 15:30: Opening ceremony
  • 15:30 – 17:00: 3D VR – Radical breakthrough in future infocommunication (Dr. Péter Baranyi)
  • 17:00 – 17:20: Coffee break
  • 17:20 – 19:00: Poster section
  • 19:30 – 21:30: Gala dinner

Day 2 – 25th January Saturday:

  • 7:00 – 9:00 : Breakfast
  • 9:00 – 10:30: Adversarial Examples in Machine Learning I. (Dr. Márk Jelasity)
  • 10:30 – 10:50: Coffee break
  • 10:50 – 12:20: Adversarial Examples in Machine Learning II. (Dr. Márk Jelasity)
  • 12:40 – 13:50: Lunch
  • 13:50 – 15:30: Cultural program
  • 15:30 – 17:00: Enhancing Human Digital Capabilities via 3D Computational Affordances: Hands-On Examples Using the MaxWhere VR Platform I. (Dr. Ádám Csapó)
  • 17:00 – 17:20: Coffee break
  • 17:20 – 18:50: Enhancing Human Digital Capabilities via 3D Computational Affordances: Hands-On Examples Using the MaxWhere VR Platform II. (Dr. Ádám Csapó)
  • 19:00 – 20:20: Dinner

Day 3 – 26th January Sunday:

  • 7:00 – 9:00: Breakfast
  • 9:00 – 10:30: Cultural program
  • 10:30 – 13:00: Human centered HCI design (Dr. Veronika Szücs)
  • 13:00 – 14:00: Lunch

The programme committee reserves the right to modify the schedule.


Dr. Péter Zoltán Baranyi (Széchenyi István University)

Professor Peter Baranyi obtained his PhD degree in 1999 at the Budapest University of Technology and Economics, and was the youngest scientist to receive the Doctoral Degree of the Hungarian Academy of Sciences in 2006.

He invented the TP model transformation that is a higher order singular value decomposition of continuous functions. It has crucial role in nonlinear control design theories and opens new way for optimization.

Professor Peter Baranyi initiated and defined the Cognitive Infocommunications scientific discipline. ( He established the Cognitive Infocommunications concept around 2010. It has annual IEEE Int. Conf. and a number of scientific journal special issues. It focuses on then new cognitive capabilities of the blended combination of human and informatics.

He is the inventor of MaxWhere that is the first 3D platform including 3D web, 3D browser, 3D store and 3D Cloud.

His research group proved – based on MaxWhere – that the 3D visualisation is a new evolutionary step in digital visualisation. His work focuses on polytopic modeling and control, and on concepts of Cognitive Infocommunications, including virtual reality. He is the recipient of numerous international awards, including the Sigma Xi Young Investigator Award and the International Dennis Gabor Award. He has published over 450 scientific works, including 3 books – 6000 citations.

Dr. Ádám Balázs Csapó (Széchenyi István University)

Adam B. Csapo obtained his PhD degree at the Budapest University of Technology and Economics in 2014. He is currently working as an associate professor at the Széchenyi István University in Győr, Hungary. His research focuses on soft computing tools for developing cognitive infocommunication channels in virtual collaboration environments, with the goal of enabling users to communicate with each other and their spatial surroundings in novel and effective ways. Dr. Csapo has over 50 publications, including 1 co-authored book and 16 journal papers.

Dr. Márk Jelasity (University of Szeged)

Mark Jelasity is a full professor and the head of the AI Department at the University of Szeged. He received his PhD degree in computer science from the University of Leiden in 2001. He spent several years in various institutions including the VU University, Amsterdam, University of Bologna, and Cornell. He received the DSc degree from the Hungarian Academy of Sciences in 2014. His research interests include decentralized data mining and adversarial machine learning.

Dr. Veronika Szücs (University of Pannonia)

Veronika Szücs started her university studies in 2007. In 2010 she got her Computer Engineering BSc degree, then in 2013 she got her MSc degree, also in Computer Engineering. She got her PhD degree in 2019. As a PhD student from the September of 2013, she helped the department by researching, teaching and working in projects. From 2016 she was an assistant lecturer, and beginning from 2019 she is a senior lecturer at the Department of Electrical Engineering and Information Systems. She works at the Virtual Environments and Applied Multimedia Research Laboratory. Her research areas include: Virtual Environments, applied multimedia, assistive technologies, information systems, web programming and mobile programming.

Lecture details

3D VR – Radical breakthrough in future infocommunication
Dr. Péter Zoltán Baranyi (Széchenyi István University)

This presentation investigates the unique potential of VR environments to serve as a comprehensive tool for future infocommunication. The same way that character-based interfaces (e.g., DOS) were replaced in the late ’90s by windowing systems (e.g., Windows), so should the widespread use of 2D
windows soon be superseded by 3D spatial content. We pointed out that just as the irreversible transition between DOS and Windows led to a significant increase in user effectiveness, so too would this transition between windows and spaces yield even greater benefits.

Tests shows that the users were able to complete the required workflow at least 50% faster in the MaxWhere 3D VR environment than in traditional 2D platforms and 3D VR environments are capable of providing users with a much higher level of comprehension when it comes to sharing and interpreting digital workflows.

Research shows unique potential of VR environments to serve as a comprehensive tool for communication and memory management and presents how VR spaces can do more than just provide appealing visual experiences, by capturing the psychology of how new memories are formed. Outstanding result, that MaxWhere can provide 30-50% increases in effectiveness in education and in enterprise applications. 3D VR plays an important role in everyday digital life and in professional industry (Industrie 4.0).

Enhancing Human Digital Capabilities via 3D Computational Affordances: Hands-On Examples Using the MaxWhere VR Platform
Dr. Ádám Balázs Csapó (Széchenyi István University)

Results in the fields of cognitive psychology, neuroscience and human-computer interactions have shown convincingly that user interfaces shape not only what we humans can do and how easily we can do it; but also how we conceptualize new information and create maps of knowledge based on those conceptualizations. In this talk, I will describe a new vision of 3D operating systems that carry the possibility of superseding 2D interactions, thereby allowing for information to be presented and understood via 3D relationships rather than in file and directory structures. I argue that this transition from 2D to 3D can enable both faster and more memorable knowledge discovery, as well as enhanced knowledge retention. Key ideas from the talk are demonstrated using the MaxWhere VR Platform. The talk will also include a hands-on demonstration, allowing the audience to try out various 3D spaces offered by MaxWhere.

Adversarial Examples in Machine Learning
Dr. Márk Jelasity (University of Szeged)

Since the publication of the seminal paper by Szegedy et al, 2014, adversarial examples for machine learning models have been in the focus of interest. In a nutshell, the problem Szegedy et al discovered is that machine learning models can be fooled very easily. That is, with little effort, one can find examples very close to an original example (for example, changing only one pixel of an image, or adding invisible noise, etc) that makes the model output arbitrary labels for the given example: a panda is recognized as a school bus, or an oistrich, or, in fact, anything we can think of. This is quite alarming, since with the increasing levels of automation, it is natural to require reliability and robustness from AI solutions, yet we see that they are in fact extremely fragile. Also, this phenomenon sheds light on the fact that the mechanisms machine learning models use to classify examples are extremely different from those ones that humans are using and, most importantly, we have very little understanding of (and thus very little control over) these mechanisms. In this talk I will review the problem and present some interesting approaches for explaining it and some promising attempts for solving it. We will also explore some of the techniques through hands-on examples in Google’s colab environment.

Human centered HCI design
Dr. Veronika Szücs (University of Pannonia)

Nowadays, in a growing number of areas of life, a Gamification approach is used to solve certain problems and to popularize certain activities. Virtual Reality (VR) technology provides a unique toolkit for effective rehabilitation, whether phobia treatment or motion therapy for stroke patients. The role of virtual reality-based „serious game” software solutions in post-stroke rehabilitation is also important. Several frameworks, even in the home environment, have been developed in recent years worldwide. Unfortunately, many of them did not spread, did not replace the hopes. The main reason for the failure of these and many similar projects and the experience of previous projects is that patients and supporters and nurses find it difficult to use new IT tools, difficult to personalize therapy, and patients lose motivation. This presentation will introduce a solution that supports motion controlled applications that are already in operation and will be developed in the future so that in the rehabilitation the movement therapy can be fully adapted to the users’ needs, condition to ensure a sense of success, to maintain user motivation.


Ministry of Human Capacities
Ministry of Human Capacities


mito [at] dosz [dot] hu

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