How software systems of the future will manage themselves

Alois Reitbauer |  August 23, 2018 | 15:00 | E.2.42

Abstract

You may have heard of autonomous self-driving cars, but what is autonomous self-driving software. Dynatrace has been running their software systems following a NoOps approach for several years now. Based on their experience they have developed a new approach to manage software applications using concepts like unbreakable delivery pipelines and self-healing deployments. Learn what is behind the idea of NoOps and how to build applications that run and manage themselves, what can be built today and what the future will bring.

CV

Alois Reitbauer is the Chief Technology Strategist of Dynatrace and leads the Dynatrace innovation lab. Alois has successfully developed several solutions in the application performance management space and brought them to market. Currently he is working with his team on building autonomous software systems that manage themselves. Alois is further interested in the impact of new collaboration technologies like voice or Augmented Reality. In both areas he currently works with customers to develop market-ready products. Alois is also a frequent speaker at technology conferences and the chair of the W3C Distributed Tracing working group.

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Machine Learning Applications to Internet of Things


Dr. Hari Prabhat Gupta |  June 22, 2018 | 11:00 | Lakeside L4.1.04

Abstract

Internet of Things (IoT) is growing rapidly in decades, various applications came out from academia and industry. IoT is an amazing future to the Internet, but there remain some challenges to IoT for human have never dealt with so many devices and so much amount of data. Machine Learning (ML) is the technique that allows computers to learn from data without being explicitly programmed. Generally, the aim is to make predictions after learning and the process operates by building a model from the given (training) data and then makes predictions based on that model. Machine learning is closely related to artificial intelligence, pattern recognition and computational statistics and has strong relationship with mathematical optimization. In this talk, we focus on ML applications to IoT. Specially, we focus on the existing ML techniques that are suitable for IoT. We also consider the issues and challenges for solving the IoT problems using ML techniques.

CV

Dr. Hari Prabhat Gupta received the B.E. degree in Computer Engineering from Government Engineering College Ajmer, Ajmer, India, the M.Tech. and Ph.D degrees in Computer Science and Engineering from the Indian Institute of Technology Guwahati (IITG), Guwahati, India. He worked with Samsung R&D Bangalore, India. He has received a research fellowship from TATA Consultancy Services, India. He is currently working as Assistant Professor in Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India. His research interests include wireless sensor networks, wireless ad hoc networks, and distributed algorithms. He has published various IEEE and ACM conference papers and Journals in the field of wireless sensor networks.

 

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Autonomous Flying access Networks

Omid Esrafilian, MSc |  June 25, 2018 | 3 pm | Lakeside B04, B4.1.114

Abstract

The use of drones, a.k.a. unmanned aerial vehicles (UAVs) as a flying radio access network (RAN) is currently gaining significant attention. It holds promises as a complement to classical fixed infrastructure by allowing ultra flexible deployments, with use cases ranging from disaster recovery scenarios to improving the performance and coverage of the network. Beyond obvious challenges within regulatory, control, navigation, and operational domains, the deployment of autonomous flying-RANs also come with a number of exciting new research problems such as the issue of autonomous real-time placement of the drones in non-trivial propagation scenarios (i.e. scenarios where the optimal placement is not just dictated by a trivial geometry or statistical argument due to shadowing effects, e.g. in cities). We present several different approaches, lying at the cross-roads between machine learning, signal processing, and optimization. Some approaches involve the reconstruction of a city map from sampled radio measurements which can have application beyond the realm of communications.

CV

Omid Esrafilian has started his Ph.D. since 2016 in the Communication System department of EURECOM under the supervision of Professor David Gesbert.

He received both his Master’s and Bachelor’s degree in Control-Electrical Engineering from K.N.Toosi University of Technology in 2016 and 2014, respectively. He graduated as first ranked among M.Sc. students of control major in his university. The subject of His Master’s Thesis was „Simultaneous localization and mapping and autonomous flight of a Quad-Rotor robot using a monocular camera“.

From 2012 to 2016, he worked as a research assistant and head of Quad-Rotor robotic team at the Advanced Robotics and Automated Systems lab (ARAS), K.N.Toosi University of Technology in Iran. During this period, he participated in some robotic competitions and won some prizes.

From 2014 to 2015, he was an assistant professor at Instrumentation Laboratory, K.N.Toosi University of Technology in Iran.

His research interest is robotic (UAVs) and communication and since the beginning of his PhD he published some publications on the topic of UAV-aided Radio Access Networks. Moreover, he was involved in the PERFUM’s first demo of the autonomous cellular flying relays.

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Solving x’=?

Prof. Konstantin Mischaikow  | 6. Juni 2018 | 16:00 Uhr | Z.1.09

Abstract

With the advent of every improving information technologies, science and engineering is being being evermore guided by data-driven models and large-scale computations.  In this setting, one often is forced to work with models for which the nonlinearities are not derived from first principles and quantitative values for parameters are not known.

With this in mind, I will describe an alternative approach formulated in the language of combinatorics and algebraic topology that is inherently multiscale, amenable to mathematically rigorous results based on discrete descriptions of dynamics, computable, and capable of recovering robust dynamic structures.

To keep the talk grounded, I will discuss the ideas in the context of modeling of gene regulatory networks.

CV

Konstantin Mischaikow earned his Master and PhD degree at the University of Wisconsin–Madison in 1983 and 1985, respectively. Currently he is a Distinguished Professor at Rutgers University, New Jersey, USA. His main research interests are topological methods for the analysis of dynamical systems, computational topology and mathematical biology.  Professor Mischaikow has supervised 16 PhD theses and has been advisor of 21 postdocs. He has over 110 publications, including four books.

He is a leading expert of Conley theory, as well as of rigorous computer-assisted computations. One of his most celebrated results is the proof of chaos in the Lorenz attractor, which serves as a prominent example of the application of both techniques.  In 2014, in recognition of his contributions to dynamical systems as well as to applied and computational topology, Professor Mischaikow was elected to be a fellow of the American Mathematical Society.

 

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Teaching and practicing the students‘ knowledge using games

Dr. Karel Perutka | 13. Juni 2018 | 10:00 Uhr | Z.1.09

Abstract

The main idea of this strategy is based on the essential textbook of pedagogy Orbis sensualium pictus which was written according to Komenský’s belief that the school should be a game. It was first published in Nürnberg in 1658. He believed, contrary to the teaching practices at the time, that the pupils should be able to teach learned matter not only to renounce mechanically but to understand what they were learning. He, therefore, provided a textbook with some illustrations so that it would be captivating for the children. It was about biology (living and inanimate nature), theology and man, something that can now be called the foundations of social sciences.

Modern times have brought new opportunities to implement this strategy.

For example, using simple computer games for practicing and verifying the student’s knowledge. During the lecture, several computer games created for this purpose will be presented. Games are primarily designed to teach automation and programming in MATLAB software at university.

They are created in the way that the data about the matter are read from an external file. This file is enough to be edited and used for any subject of the study program. In the lecture, there will also be introduced several electronic aids facilitating the teaching of work with graphics programs and programs in the office at secondary schools in the Czech Republic. All these games and utilities were rated by students using questionnaires after the completion of the courses, and these results will be presented, too.

 

Bio

Karel Perutka received his Ph.D. degree in 2007 at Tomas Bata University in Zlin, Faculty of Applied Informatics, Czech Republic, where he is the senior lecturer. Technical Cybernetics was the principal branch of his first research. Karel Perutka was the editor of the book about MATLAB (http://www.intechopen.com/books/matlab-for-engineers-applications-in-control-electrical-engineering-it-and-robotics), the author of one monograph about MATLAB, several book chapters about MATLAB and control theory, and author or co-author of more than 80 papers in the conference proceedings. He is a member of the organizing and reviewing committees of several conferences. He lead more 100 Bachelor and Master Theses.

Karel Perutka is teaching MATLAB programming, electronics, microelectronics, diagnosis of digital systems and modulations and demodulations of signals. He is the most popular teacher of curriculum IT for administrative studies voted by students where he teaches the software used in the office.

His main research interests are adaptive control, real-time control, control of multivariable systems, application of MATLAB and new methods of teaching programming and creating didactic aids for secondary schools, programming in C++ and VBA in MS Excel.

He is working on the topic Teaching and practicing the students knowledge using games for last 6 years. He lead the students of Master degree Teachers of Informatics for 6 years, he published 15 papers about this topic, created several teaching games and multimedia tools with the focus in the control theory, the computer graphics, the software in office.

He gave lectures at universities in Europe, mostly in Portugal where he visited ISEP Porto, IST Lisboa, UTAD Vila Real, UA Faro.

He speaks 4 foreign languages. Austria is his favorite country. He goes in Austria also for vacation every year.

 

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Aktivierende Elemente in der Lehrer(innen)bildung

Dr. rer. nat. Markus Alexander Helmerich | 24. Mai 2018 | 18:15 Uhr | L.1.0.14

Kurzfassung:

Die Leitidee der Siegener Lehrer(innen)bildung ist es, die angehenden Lehrerinnen und Lehrer zu einem reflektierten Handeln in Lehr-Lern-Situationen zu befähigen. Die Umsetzung dieser Leitidee erfordert eine starke Aktivierung der Lehramtsstudierenden in den Lehrveranstaltungen.
In unseren Vorlesungen, Übungen und Seminaren wurden verschiedene aktivierende Elemente und didaktische Prinzipien für eine aktivierende Lehre zur Förderung einer bewussten Haltung eingesetzt.
Beispielhaft für diesen Ansatz wird das Seminar „Schüler handeln, forschen und entdecken“ vorgestellt und diskutiert werden. Darin konzipieren Studierende Mathematik-Projekte, die mit Lerngruppen in der Siegener MatheWerkstatt durchgeführt werden, und analysieren anschließend  die Lehr-Lern-Prozesse. In dieser praxisorientierten Auseinandersetzung mit mathematischen Inhalten und der Gestaltung von Lernarrangements lernen die Studierenden, ihr Handeln und ihre Erfahrungen mathematikdidaktisch zu reflektieren.
Präsentiert werden das Siegener Leitbild für die Lehrer(innen)bildung sowie die unterschiedlichen Planungsdimensionen des Seminars anhand von Erlebnissen und Analysen der Studierenden.

CV:

HelmerichMarkus Alexander HELMERICH ist wissenschaftlicher Mitarbeiter in der Abteilung Didaktik der Mathematik des Departments für Mathematik an der Naturwissenschaftlich-Technischen Fakultät und im Sommer-semester 2018 Gastprofessor für Didaktik der Mathematik an der Alpen-Adria-Universität Klagenfurt. Nach dem Abschluss des Diplom-studiums in Mathematik an der Technischen Universität Darmstadt (2002) widmete er sich im Rahmen seiner Dissertation zu „Linien-diagrammen in der Wissenskommunikation“ (2008, ebenfalls TU Darmstadt) der Verbindung von Methoden der formalen Begriffs-analyse, der Semiotik und der Mathematikdidaktik. Von 2005-2009 war er Geschäftsführer des Ernst-Schröder-Zentrums für Begriffliche Wissensverarbeitung e.V. in Darmstadt. Der interdisziplinären Verbindung fachwissenschaftlicher, wissenschaftshistorischer und -philosophischer sowie fachdidaktischer Ansätze widmete er sich über seine Dissertation und die Tätigkeit am Ernst-Schröder-Zentrum hinaus als mehrfacher Mitveranstalter der Tagungsreihe zur „Allgemeinen Mathematik“ und als Mitherausgeber der entsprechenden Reihe von Sammelbänden im Springer-Verlag.  Von 2013-2015 war er Sprecher des Arbeitskreises „Mathematik und Bildung“ der Gesellschaft für Didaktik der Mathematik. Seit 2009 lehrt und forscht Markus Helmerich im Bereich Didaktik der Mathematik an der Universität Siegen. Einen Schwerpunkt seiner aktuellen mathematikdidaktischen Arbeit stellen Untersuchungen zur Rolle von Experimenten, Vorstellungen und Reflexionen für handlungsorientiertes Lehren und Lernen im Mathematikunterricht aller Schulstufen und in der Mathematiklehrer(innen)ausbildung dar.

 

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Virtual and Augmented Reality and its Applications

Rositsa Radoeva, PhD | May 22, 2018 | 10 am | L.1.0.14

Abstract

The talk focuses on virtual and augmented reality technologies and examines various devices and technologies in the field of three-dimensional visualization and different applications of these technologies. The author presents a software for 3D interactive visualization, supporting disassembly and assembly processes of specialized equipment that have been developed by the VR-Team. Also, it will give a look at the development process of the presented software.

CV

Rositsa Radoeva is Assistant Professor at the Dept. of Computer Systems and Technologies of the Faculty of Mathematics and Informatics (FMI) at University of Veliko Tarnovo “St. Cyril and St. Methodius”. She obtained her PhD in Informatics at the Dept. of Computer Systems and Technologies, FMI at University of Veliko Tarnovo “St. Cyril and St. Methodius” in 2016. Since 2013 she is affiliated with the Dept. of Computer systems and technologies, FMI at University of Veliko Tarnovo “St. Cyril and St. Methodius”. Currently she is involved in research in the field of three-dimensional visualization, virtual and augmented reality. Since 2017, she is a part of the “VR-Team” – a team for the development of virtual and mixed reality software solutions.

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Business intelligence for knowledge generation at tourism destinations – A case from Sweden

Univ.-Prof. Dr. Matthias Fuchs | May 4, 2018 | 10 am | E.2.42

Abstract

A knowledge infrastructure which has recently been implemented at the leading Swedish mountain tourism destination, Åre is presented. By applying a Business Intelligence approach, the Destination Management Information System Åre (DMIS-Åre) drives knowledge creation and application as a precondition for organizational learning at tourism destinations. After having introduced the development process of indicators measuring destination performance as well as customer behavior and experience, the presentation highlights core aspects of destination data warehousing and how DMIS-Åre can be used by tourism managers to gain new knowledge about customer-based destination processes, like “Web-Navigation”, “Booking” and “Feedback”, respectively.

Bio

matfuc - Kopie__Matthias Fuchs, Ph.D. is Full Professor of Tourism Management & Economics at the Department of Tourism Studies and Geography, Mid-Sweden University, Östersund, Sweden. His research includes electronic-tourism (mobile services, e-business readiness and impact, online auctions, business intelligence and big-data), destination branding, and tourism economic impact analysis. Matthias is associate-editor of the Journal of Information Technology & Tourism. He serves on the editorial-board of the Journal of Travel Research, Annals of Tourism Research, Tourism Analysis, and the Journal of Hospitality & Tourism Management. Matthias is board member of IFITT (International Federation for Information Technology and Travel & Tourism) and chaired the research track at ENTER Conference in 2012. In 2018, Matthias was the overall chair of the ENTER@Jönköping, Sweden. Website:
https://www.miun.se/en/personnel/MatthiasFuchs/

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The process of new venture creation – towards the booming ICT start-ups

Prof. Tõnis Mets | April 24, 2018 | 10 am | K.0.01

Abstract

Estonia has enjoyed success stories in ICT implementation in a broad field of public and private sectors for last 15-20 years. The key event for that development was the launching of the Tiger Leap program in Estonian schools, 1996. The program fully equipped schools with computers and Internet access and other ICT services. Computer science classes were provided in 84% of schools in the following eight years. Since 2014 World Economic Forum considered Estonia among innovation-driven knowledge-based societies, and some years later – being hidden entrepreneurship champion in Europe. Besides, Estonia has become one of the developed start-up ecosystems where young ICT companies are booming.

These events mentioned above refer to the successful combination of educational and entrepreneurial ecosystems in Estonia. The presentation aims to disclose the role of ICT start-ups as the engine of the innovation-driven development in a small society. Case studies analyse the entrepreneurial process and journey of ICT start-ups suggesting dynamic stage model approach. This approach discloses complexity of the entrepreneurial journey from opportunity recognition to venture launch. Findings of studies show growing importance of digital technology, ICT start-ups and the entrepreneurial ecosystem in the welfare of Estonian citizens.

Bio

MetsTõnis Mets is Professor of Entrepreneurship at the University of Tartu in Estonia. He was Marie Curie Research Fellow at the Australian Centre for Entrepreneurship Research at the Queensland University of Technology in Brisbane, Australia 2014-2016. Also, Professor Mets is a founder of five companies, sold three of them. He has worked as a management consultant in his company (ALO OÜ), and as an entrepreneur, engineer, and manager in various high-tech companies in Estonia. Tõnis graduated from the Tallinn University of Technology. He also holds a Ph.D. in Technical Sciences from St Petersburg Agrarian University. Professor Mets is author and co-author of 15 patents, and more than 50 chapters and articles with international publishers. His main research interests are in the fields of (technology) entrepreneurship, intellectual property, and knowledge and innovation management.

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Is Your Process Development Process Green?

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

CsabaCsaba 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“.

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