The review of the TEWI colloquia of Csaba Szabó from February 7, 2018 comprises the slides.

Slides:

Ing. Csaba Szabó PhD. | February 7, 2018 | 10 am | L1.0.14

Abstract

Like with Bio products, the world is developing to become a more nature-aware ecosystem. The green initiative defines two main goals: reduce energy consumption and use basic natural sources in electrical energy production.

This lecture focuses on energy consumption of working software and its development processes, where each development phase plays a significant role. Considering any software development process, the energy is being consumed while problem analysis, constructing and evaluating the code as well. Software or hardware tools have to be used to implement energy consumption monitoring for software run at the top of selected operating systems and for evaluation of the energy consumption. Usual usage scenarios are to monitor energy usage of selected software. We will also look at the possibility to use these tools to measure how green is the process that produced the programs.

CV

Csaba SZABÓ is Assistant Professor at the Dept. of Computers and Informatics of the Fac. of Electrical Engineering and Informatics (FEEaI) at Technical University of Kosice. He graduated (MSc.) with distinction at the Dept. of Computers and Informatics of the Fac. of Electrical Engineering and Informatics (FEEaI) at Technical University of Kosice in 2003. He obtained his PhD. in Program- and Information Systems at the FEEaI at Technical University of Kosice in 2007. Since 2006 he is affiliated with the Dept. of Computers and Informatics, FEEaI, Technical University of Kosice. Currently he is involved in research in the field of behavioral description of software, information systems and web services, software and test evolution, and testing and evaluation of software.

He is a member of the John von Neumann Computer Society (NJSZT, Hungary) and the Slovak Society for Applied Cybernetics and Informatics (SSAKI). Currently he is also leading the ERASMUS+ KA203 – Strategic partnership for higher education project No. 2017-1-SK01-KA203-035402: „Focusing Education on Composability, Comprehensibility and Correctness of Working Software“.

The review of the TEWI colloquia ofDr. Marko Tkalčič from December 21, 2017 comprises the slides.

Slides:

Abstract

The talk will cover the research carried out by the author in the domain of psychologically-driven personalized systems. In order to be truly personalized a system needs to understand the user. Current systems employ data-driven models, such as recommendations based on past ratings, clicks or purchases. However, psychologically-grounded models appear to have potential for better personalized systems. The author will cover models of emotions and personality, the unobtrusive acquisition thereof through social media crawling, video processing and machine learning and their use in personalization algorithms.

Bio

Marko Tkalčič is Assistant Professor at the Faculty of Computer Science at the Free University in Bolzano, Italy. He received his PhD from the Faculty of Electrical Engineering at the University of Ljubljana in 2011. After a postdoc at the University of Ljubljana, he worked as a postdoc at the Johannes Kepler University in Linz, Austria from 2013 to 2015. From 2016 he is with the Free University of Bolzano. His research explores ways in which psychologically-motivated user characteristics, such as emotions and personality, can be used to improve personalized systems. It employs methods such as user studies and machine learning.

Dr. Tkalčič has published in prestigious journals, such as Elsevier Information Sciences and Springer UMUAI. He has presented at venues, such as RecSys and UMAP. Recently he edited the book Emotions and Personality in Personalized Systems with Springer. He is active in organizing conferences (RecSys 2017, UMAP 2017) and workshops (EMPIRE, SOAP, HUMANIZE), editing special issues, and reviewing for prestigious journals, conferences and grant bodies. He is a member of the editorial board of the UMUAI journal.

Dr. Marko Tkalčič | December 21, 2017 | 3 pm | E.1.05

Abstract

The talk will cover the research carried out by the author in the domain of psychologically-driven personalized systems. In order to be truly personalized a system needs to understand the user. Current systems employ data-driven models, such as recommendations based on past ratings, clicks or purchases. However, psychologically-grounded models appear to have potential for better personalized systems. The author will cover models of emotions and personality, the unobtrusive acquisition thereof through social media crawling, video processing and machine learning and their use in personalization algorithms.

Bio

Marko Tkalčič is Assistant Professor at the Faculty of Computer Science at the Free University in Bolzano, Italy. He received his PhD from the Faculty of Electrical Engineering at the University of Ljubljana in 2011. After a postdoc at the University of Ljubljana, he worked as a postdoc at the Johannes Kepler University in Linz, Austria from 2013 to 2015. From 2016 he is with the Free University of Bolzano. His research explores ways in which psychologically-motivated user characteristics, such as emotions and personality, can be used to improve personalized systems. It employs methods such as user studies and machine learning.

Dr. Tkalčič has published in prestigious journals, such as Elsevier Information Sciences and Springer UMUAI. He has presented at venues, such as RecSys and UMAP. Recently he edited the book Emotions and Personality in Personalized Systems with Springer. He is active in organizing conferences (RecSys 2017, UMAP 2017) and workshops (EMPIRE, SOAP, HUMANIZE), editing special issues, and reviewing for prestigious journals, conferences and grant bodies. He is a member of the editorial board of the UMUAI journal.

Dr. Paul Smith | December 5, 2017 | 14.00 p.m. | E.1.42

Abstract

To enable the increased integration of renewable energy sources and the creation of new energy services, our electrical energy systems are being digitalized (i.e., we are creating the so-called smart grid). This digitalization has many potential benefits, but it also introduces new cyber security vulnerabilities that could be exploited by malicious actors. In this talk, we will look at a relatively new form of threat that uses advanced attack techniques to achieve a malicious goal, which results in disruption to power supply. The most notable example of this form of threat took place in the Ukraine in December 2015. Having looked at this threat, the talk will continue by giving an overview of a number of solutions that were developed in the EU-funded SPARKS project (https://project-sparks.eu). The talk will conclude with a discussion on future research directions.

Bio

Dr. Paul Smith is a Senior Scientist in the Center for Digital Safety and Security at AIT Austrian Institute of Technology.
He received his PhD in Computing from Lancaster University, UK in September 2003. Paul’s research is targeted at developing applied solutions to ensuring the security and resilience of critical information infrastructures. More specifically, in recent years, his researched has focused on securing future digitalized energy systems. Solutions have focused on approaches to risk management, anomaly detection, secure architecture specification, incident response, and resilience measurement. For each of these, his interests lie in understanding cyber-physical aspects of security and resilience. He has participated in a number of international research projects in this area, and has published articles on various aspects that relate to this core interest.