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Irtaza Rasheed defended his Master Thesis on Name Disambiguation on Digital Library Data for an Enhanced Profile Analysis in Visual Trend Analytics

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In his thesis, Irtaza Rasheed implementated a universal name disambiguation approach that considers almost any existing property to identify authors. After an author of a paper is identied, the normalized name writing form on the paper is used to refine the author model and even give an overview about the different writing forms of the author’s name. This can be achieved by first examine the research on Human-Computer Interaction specifically with focus on (Visual) Trend Analysis. Furthermore, a research on different name disambiguation techniques. After that, building a concept and implementing a generalized method to identify author name and affiliation disambiguation while evaluating different properties.

Kickoff of the European Project “Partnerships with Eastern Europe”

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With the kickoff of the European collaboration project “Partnerships with Eastern Europe”, the Darmstadt University of Applied Sciences, and particularly our team, has decided to focus more on European cooperation. Our exchange project funded by the German Academic Exchange Service (DAAD) includes partners from Russia, Romania and Poland and aims at strengthening the collaboration with Eastern Europe.

Subject of our collaboration activities are machine learning and information visualization with a strong collaboration with the Technical University of Ulyanovsk in Russia. The project is set up for three years and involves various faculties of the Darmstadt University.

Further information

– More information to the project Partnerships with Eastern Europe

Our team wishes you happy christmas holidays and a happy new year!

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After an extremely challanging year, the Human-Computer Interaction and Visual Analytics team at h_da wishes you peace, joy and prosperity throughout the coming year.

Thank you for your continued support and partnership. We look forward to working with you in the years to come.

Midhad Blazevic defended his Master Thesis on Visual Search and Exploration for Scientific Publications through Similarity

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In his thesis, Midhad Blazevic alyzes exploratory search systems which use sophisticated features, visualizations and similarity-based algorithms to enhance exploratory searches. Examining how similarity algorithms are currently used in combination with elements from information retrieval, natural language processing and visualizations, but also examine what exploratory search is, what the requirements are and what makes it so special in modern times. Furthermore, the user himself or herself will be analyzed as user behavior during exploratory searches is a key factor that has to be taken into consideration when looking to optimize the exploratory search process overall. Based on these aspects, means of improvement will be developed and showcased, which will be used to determine if there is an improvement in comparison to other well-known systems. The outcome of this thesis will present a prototype of an exploratory search system along with a practical use case.

h_da is Partner of European University of Technology

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The Darmstadt University of Applied Sciences (h_da) is part of the “European University of Technology” under the permission of the European Commission. The eight universities involved convinced the EU Commission with their vision of a networked European University. Together, the university partners want to improve their quality and competitiveness and promote European values ​​and identity. Numerous university members could benefit from the growing together of universities – students, for example, from better mutual recognition of academic achievements. EU Commissioner Thierry Breton is one of the supporters of the project. The h_da is one of only two selected universities for applied sciences in Germany.

The consortium led by the Technical University of Troyes brings together 100,000 students and 12,000 employees. The alliance with the name “European University of Technology”, or “EUt +” for short, will initially receive funding of five million euros – with good prospects for additional EU funds. In a pilot project, the partners first want to work out the focal points of the cooperation. This could include facilitating the exchange of scientists over longer periods of time – as well as closer coordination of teaching content so that students can seamlessly take modules at a partner university. At the end of this development, there could even be joint European degrees. The background to the merger is the shared realization that global challenges such as climate change, resource overuse and growing inequality, as well as the social consequences of digitization, can only be solved together.

The European University of Technology consists of eight alliance members:

Further information

Prof. Dr. Kawa Nazemi elevated to IEEE Senior Member

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IEEE is the world’s largest professional association dedicated to advancing technological innovation and excellence for the benefit of humanity. IEEE has more than 423,000 members in more than 160 countries working to inspire a global community through publications, conferences, technology standards, and professional and educational activities.

Prof. Dr. Kawa Nazemi has been elevated to senior member of IEEE. The IEEE Board of Directors announced this decision in a virtual meeting in June 2020.

The IEEE Senior Membership is only awarded to a very limited number of members who have contributed significantly to the further development or application of science and technology. Less than 8% of the members worldwide are awarded senior member status based on their merits in research, profession and teaching.

Master Student Interviewed toward her Thesis in Detection of Fake News with AI

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Mina Schütz wrote her master thesis under the supervision of Prof. Dr. Kawa Nazemi und Prof. Dr. Melanie Siegel toward “Detection and Identification of Fake News: Binary Content Classification with a Pre-Trained Language Model” at Austrian Institute of Technology (AIT), Center for Digital Safety & Security in Vienna. During her work she could successfully conceptualize and develop a system that enables classification of news with a high probability as fake or real on the basis of Artificial Intelligence algorithm. The work is a great product of scientific and empirical acting and will be published in the scientific world soon.

For her excellent work and the high societal relevance, the impact magazine of the h_da has interviewed her to outline the topic and her approach in a better understandable manner, particularly for non-computer-science experts. The full interview is available (in German only) on: https://impact.h-da.de/forschung/corona-und-fakenews/.

Advanced Seminar toward Visual Analaytics in next Summer Semester at h_da/FBI (computer science)

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In the upcoming summer semester 2020, our doctoral students provide an advanced seminar at the department of computer science at the Darmstadt University of Applied Sciences. The topic of the seminar will be toward “Visual Analytics for Smart Manufacturing and Trend Analysis”:

Due to the increasing digitization, analyzes are a constant necessity, which also applies to the identification of errors, problems or opportunities for improvement. With visual analytics, the combination of algorithmic and massive calculation opportunities of computer-based systems on the one side as well as the visual and cognitive skills of the users on the other side are used together. The seminar focuses on the use of visual analytics in the two current areas of smart manufacturing and trend analysis. On behalf of the given task, current approaches, methods and implementations should be researched and examined. The goal should be a scientific elaboration based on empirical and scientific standards.

Interested students are invited to register soon, since the number of places will be limited.

Due to virtual lecturing, please note the course information in Moodle!

Our team wishes you happy christmas holidays and a happy new year!

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The Human-Computer Interaction and Visual Analytics team at h_da wishes you peace, joy and prosperity throughout the coming year.

Thank you for your continued support and partnership. We look forward to working with you in the years to come.

Information Science: The new degree program at Darmstadt University of Applied Sciences

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Digitization contributes to the accumulation of knowledge in immense amounts of data, but often unstructured and widely scattered. Information Scientists bring this knowledge together and make it usable for business and society. The new study program Information Science at the University of Applied Sciences Darmstadt (h_da) trains students to become experts in the professional handling of data, information and knowledge. The bachelor and master program starts for the first time in the winter semester 2019/20 and replaces the previous course Information Science. Applications are possible from the 15th of May.

“Since digitization processes and rapid technological changes have a major impact on companies, information scientists also contribute to future and innovation processes,” emphasizes Prof. Dr. Kawa Nazemi. He is in charge of the bachelor’s and master’s degree program Information Science. His graduates also qualify for leadership positions in companies, institutions, media organizations, administrations or libraries as well as for research activities. The master’s degree also qualifies for a doctorate. There are perspectives at the Hochschule Darmstadt in the cross-university doctoral program “Applied Computer Science”, in which research group is involved.

 

Information about the application and the admission requirements can be found at:
https://h-da.de/bewerben

Detailed information on the Information Science program can be found at:
https://iw.h-da.de/

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