Tamer Khatib, Ph.D, | May 23, 2017 | 03.00 p.m.| Lakeside Labs, B4.1.114

Abstract

In late 2016, Tamer Khatib has led the energy mission of the Islamic Bank for Development to Mauritania. The mission aimed to learn about energy status in the country and draft a road map for energy development project. The mission was supposed to collaborate with the Mauritania government in the capital Nouakchott. However, the mission has faced many challenges in having this collaboration on ground due to faults done by the mission at the beginning in terms of communication and presentation. In this lecture Tamer will share the experience of working in Africa in the field of energy development including official communication, culture barriers and other political issues.

Bio

Tamer is a photovoltaic power systems professional. He holds a B.Sc. degree in electrical power systems from An-Najah National University, Palestine as well as a M.Sc. degree and a Ph.D degree in photovoltaic power systems from National University of Malaysia, Malaysia. In addition he holds Habilitation (the highest academic degree in German speaking countries) in Renewable and sustainable energy from Alpen Adria Universitat, Klagenfurt, Austria.
Currently he is an Assistant professor of renewable energy at An-Najah National University and IEEE Palestine sub-section chair. In addition he is a Privatdozent in Renewable Energy at Alpen Adria Universitat, Klagenfurt, Austria.
So far, he has 2 patents, 3 books and 100 research articles, while  his current h-index is 23. He has supervised 4 Ph.D researches, 8 master researches and 35 bachelor researches.
He is a senior member of IEEE, IEEE Power and Energy Society, The International Solar Energy society, Jordanian Engineers Association, Palestinian Solar and Sustainable Energy Association and International Association of Engineers.
His research interests mainly fall in the scope of photovoltaic systems and solar energy fundamentals. These interests include PV systems design and optimization, modeling and control of PV systems, hybrid PV/Wind systems, hybrid PV/diesel systems, Grid connected PV systems, sun trackers, MPPT technology, inverters in PV system, solar chargers, batteries and charge controllers, solar energy fundamentals, solar energy prediction, AI applications for solar energy and PV systems, wind power systems, wind chargers, wind energy modeling and prediction.

The review of the TEWI colloquia of Prof. Wen-Huang Cheng from May 10, 2017 comprises the slides.

Slides:

Abstract and Bio:

People are interested in predicting the future. For example, which films will bomb or who will win the upcoming Grammy awards? Making predictions about the future is not only fun matters but can bring real value to those who correctly predict the course of world events, such as which stocks are the best purchases for short-term gains. Predictive analytics is thus a field that has attracted major attention in both academia and the industry. As social media has become an inseparable part of modern life, there has been increasing interest in research of leveraging and exploiting social media as an information source for inferring rich social facts and knowledge. In this talk, we will address an interesting and challenging problem in social media research, i.e., predicting social media popularity. We aim to discover which image posts on social media are the “stars of tomorrow”, those will be the most engaging for social media audiences, e.g., receiving the most likes. Sociological finding and our novel solutions to effectively develop a structured modeling for popularity dynamics will be presented.

Wen-Huang Cheng received the B.S. and M.S. degrees in computer science and information engineering from National Taiwan University, Taipei, Taiwan, in 2002 and 2004, respectively, where he received the Ph.D. (Hons.) degree from the Graduate Institute of Networking and Multimedia in 2008. He is an Associate Research Fellow (Associate Professor) with the Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, Taiwan, where he is the Founding Leader with the Multimedia Computing Laboratory (MCLab), CITI, and an Associate Research Fellow with a joint appointment in the Institute of Information Science. Before joining Academia Sinica, he was a Principal Researcher with MagicLabs, HTC Corporation, Taoyuan, Taiwan, from 2009 to 2010. His current research interests include multimedia content analysis, multimedia big data, deep learning, computer vision, mobile multimedia computing, social media, and human computer interaction. He has received numerous research awards, including the 2016 Y. Z. Hsu Scientific Paper Award, the 2015-2016 Presidential Achievement Award of Rotary International, the Outstanding Youth Electrical Engineer Award from the Chinese Institute of Electrical Engineering in 2015, the Top 10% Paper Award from the 2015 IEEE International Workshop on Multimedia Signal Processing, the Outstanding Reviewer Award from the 2015 ACM International Conference on Internet Multimedia Computing and Service, the Prize Award of Multimedia Grand Challenge from the 2014 ACM Multimedia Conference, the K. T. Li Young Researcher Award from the ACM Taipei/Taiwan Chapter in 2014, the Outstanding Young Scholar Awards from the Ministry of Science and Technology in 2014 and 2012, the Outstanding Social Youth of Taipei Municipal in 2014, the Best Reviewer Award from the 2013 Pacific-Rim Conference on Multimedia, and the Best Poster Paper Award from the 2012 International Conference on 3D Systems and Applications. He is APSIPA Distinguished Lecturer.

Linda Fernsel | 13. Mai 2017 | 9:30 Uhr | L 1.0.14

Kurzfassung

Nur 20% aller Informatikstudierenden sind Frauen. Aber nicht weil Programmieren nichts für Frauen ist. Das Problem beginnt in den Köpfen der Gesellschaft und manifestiert sich im Informatikunterricht, der großen Einfluss auf die Entscheidung zu einem Informatikstudium haben kann. In der Online Community der Programmiersprache Scratch sind Mädchen mit Jungen fast gleich auf. Was können wir von Scratch lernen, um Informatikunterricht für alle zu machen und so Chancengleichheit zu schaffen?

Bio

Linda Fernsel ist seit 2015 Community Moderator und damit Teil des Scratch Teams. Sie kümmert sich um die Online Gemeinschaft von Scratch. Weil sie Scratch für so viele Menschen wie möglich zugänglich machen will engagiert sie sich in CoderDojos, Scratch Wikis und Scratch Konferenzen. Wenn sie gerade nicht mit Scratch beschäftigt ist studiert sie Internationale Medieninformatik im Bachelor an der Hochschule für Technik und Wirtschaft in Berlin.

Dr. Oge Marques | May 22, 2017 | 16:00 | E.2.42

Abstract

This talk provides an overview of the interdisciplinary science of vision, with emphasis on meaningful open problems in human and computer vision and contemporary approaches for solving such problems. It highlights selected challenges involved in understanding, modeling, and simulating human vision mechanisms; compares and contrasts the human vision system and computer vision systems designed to achieve comparable functionality; and contextualizes the latest advances in computer vision, artificial intelligence, and deep learning and their impact on the advancement of vision science. Moreover, it presents correlations between vision science and selected aspects of cognitive neurosciences, artificial intelligence, and representative works of art.

Oge Marques (http://faculty.eng.fau.edu/omarques/) is Professor of Computer and Electrical Engineering and Computer Science at Florida Atlantic University (FAU) (Boca Raton, Florida). He has more than 25 years of teaching and research experience in the fields of image processing and computer vision. His research interests are in the area of intelligent processing of visual information, which combines the fields of image processing, computer vision, image retrieval, machine learning, serious games, and human visual perception. He is the (co-) author of two patents, more than 100 refereed journal and conference papers, and several books in these topics, including the textbook Practical Image and Video Processing Using MATLAB (Wiley-IEEE Press, 2011). He is a Tau Beta Pi Eminent Engineer, a Senior Member of both the ACM and the IEEE and a member of the honor societies of Sigma Xi, Phi Kappa Phi, and Upsilon Pi Epsilon.

Johanna Janiszewski | 13. Mai 2017 | 9:00 Uhr | L 1.0.14

Scratch ist eine Programmiersprache mit einem einsteigerfreundlichen Design und wird deshalb häufig als sehr kindlich und nur für Anfänger geeignet betrachtet. Und sobald Kinder sich ein wenig damit vertraut gemacht haben, wird rasch von ihnen gefordert, auf eine “professionellere” Programmiersprache umsteigen. Dabei bietet Scratch viel Raum für großartige Ideen deren Umsetzung weit über ein paar kleine Programmierübungen hinausgeht. Auf der Scratch-Seite findet man Beispiele, was damit möglich ist. Manche kennen vielleicht den Scratcher Griffpatch, der berühmte Spiele wie “Terraria” oder “Geometry Dash” auf Scratch nachgebaut und auch einige sehr tolle eigene Ideen entwickelt hat. Bei meiner Arbeit als Game Designerin entwickle ich zwar selten komplette Spiele in Scratch, aber ich benutze Scratch, um verrückte Ideen auszuprobieren und Prototypen zu entwickeln.  In diesem Vortrag gebe ich einen kurzen Einblick in meinem Arbeitsalltag im Game Design und zeige anhand von ein paar Beispielen, wie man Scratch darin einsetzen kann.

Johanna Janiszewski (geb. Jacob) ist freiberufliche Game Designerin und Geschäftsführerin von „Tiny Crocodile Studios“ in Berlin. Ihr Debüt im Bereich der Digitalen Spiele machte sie 2008 mit Simon the Sorcerer 5 für Silver Style Entertainment. Derzeit arbeitet Sie an einem an „Schatzaffen“, einem Edutainment-Spiel für Kinder und spielfreudige Personen das Geometrie spielerisch vermittelt. Daneben bietet sie auch Kurse im Bereich der  Spieleentwicklung an. In ihrer Freizeit vermittelt sie Kindern mit grafischen Programmiersprachen wie „Scratch“, „App Inventor“ oder „Pocket Code“ die Grundlagen der Programmierung und Spieleentwicklung.

Prof. Wen-Huang Cheng | May 10, 2017 | 10:00 | E.2.42

Abstract

People are interested in predicting the future. For example, which films will bomb or who will win the upcoming Grammy awards? Making predictions about the future is not only fun matters but can bring real value to those who correctly predict the course of world events, such as which stocks are the best purchases for short-term gains. Predictive analytics is thus a field that has attracted major attention in both academia and the industry. As social media has become an inseparable part of modern life, there has been increasing interest in research of leveraging and exploiting social media as an information source for inferring rich social facts and knowledge. In this talk, we will address an interesting and challenging problem in social media research, i.e., predicting social media popularity. We aim to discover which image posts on social media are the “stars of tomorrow”, those will be the most engaging for social media audiences, e.g., receiving the most likes. Sociological finding and our novel solutions to effectively develop a structured modeling for popularity dynamics will be presented.

Wen-Huang Cheng received the B.S. and M.S. degrees in computer science and information engineering from National Taiwan University, Taipei, Taiwan, in 2002 and 2004, respectively, where he received the Ph.D. (Hons.) degree from the Graduate Institute of Networking and Multimedia in 2008. He is an Associate Research Fellow (Associate Professor) with the Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, Taiwan, where he is the Founding Leader with the Multimedia Computing Laboratory (MCLab), CITI, and an Associate Research Fellow with a joint appointment in the Institute of Information Science. Before joining Academia Sinica, he was a Principal Researcher with MagicLabs, HTC Corporation, Taoyuan, Taiwan, from 2009 to 2010. His current research interests include multimedia content analysis, multimedia big data, deep learning, computer vision, mobile multimedia computing, social media, and human computer interaction. He has received numerous research awards, including the 2016 Y. Z. Hsu Scientific Paper Award, the 2015-2016 Presidential Achievement Award of Rotary International, the Outstanding Youth Electrical Engineer Award from the Chinese Institute of Electrical Engineering in 2015, the Top 10% Paper Award from the 2015 IEEE International Workshop on Multimedia Signal Processing, the Outstanding Reviewer Award from the 2015 ACM International Conference on Internet Multimedia Computing and Service, the Prize Award of Multimedia Grand Challenge from the 2014 ACM Multimedia Conference, the K. T. Li Young Researcher Award from the ACM Taipei/Taiwan Chapter in 2014, the Outstanding Young Scholar Awards from the Ministry of Science and Technology in 2014 and 2012, the Outstanding Social Youth of Taipei Municipal in 2014, the Best Reviewer Award from the 2013 Pacific-Rim Conference on Multimedia, and the Best Poster Paper Award from the 2012 International Conference on 3D Systems and Applications. He is APSIPA Distinguished Lecturer.

Dr. Stephan Alexander Weiss | April 26, 2017 | 14:00 | B04, L4101

Abstract

The eigenvalue decomposition of a Hermitian matrix has favourable properties, which have been exploited for a variety of optimal solutions to narrowband problems. We will explore the extension to space-time covariance matrices that can capture the 2nd order statistics of broadband problems; their z-transform has a parahermitian structure, which extends the Hermitian property to matrices of functions. To investigate such a parahermitian matrix EVD,  first we will look towards the unit circle via an analytic EVD, before we investigate off the unit-circle with the ultimate aim to establish a time-domain solution. We will gain some insight into the problems and feasibility  of established polynomial matrix EVD algorithms, that despite a number of successful algorithms with proven convergence tend to result in high-order factorisations. I will conclude by showing some toy problems where a polynomial approach admits simple solutions that a Fourier approach cannot yield.

Bio

I am a Reader at the University of Strathclyde (Glasgow, Scotland), and head the Centre for Signal and Image Processing (7 academic staff and some 40 researchers and PhD students). The above topic is closely tied to my homes: Scotland through the work of Colin MacLaurin, and Germany through Karl Weierstrass‘ and Franz Rellich’s contributions.