Day 1 :
Technical University of Cluj-Napoca, Romania
Time : 09:05-09:40
Dorian Gorgan, PhD. Eng. is Full Professor in Computer Science Department at the Technical University of Cluj-Napoca, Romania. He is a PhD Supervisor in Computers and Information Technology. His scientific research concerns with parallel and distributed processing over HPC infrastructures, development of platforms and applications for spatial data processing and visualization, interdisciplinary research in the domains of Earth Sciences and Earth Observations. He has been involved as Scientific Coordinator in national and international research projects such as NEARBY, HORUS, BIGEARTH, PECSA, enviroGRIDS, IASON, SEE-GRID-SCI, GiSHEO, MedioGrid, COMPLEXHPC and KEYSTONE. He has given more than 350 papers and presentations in the domains of computer science and earth observation. His research interest: parallel and distributed processing, high performance computation, platforms and applications for spatial data processing and visualization, visual analytics, interdisciplinary domains of earth sciences and earth observations.
The survey of the nearby space and continuous monitoring of the near Earth objects (NEOs) and near Earth asteroids (NEAs) are essential for the future of our planet. More computing power and sophisticated algorithms are needed to cope with the astronomy imaging cameras dedicated for survey telescopes. Medium and larger size telescopes (2-4m) are needed for the detection of fainter NEAs using the classic "blink" algorithm if targets are visible in most individual images, but smaller telescopes could be also used to image faint targets invisible on individual images using the "track and stack" and the new synthetic (or digital) tracking algorithms which need extensive computing resources. We propose to improve these methods and implement them in a new pipeline to reduce astronomical images and detect moving sources in astronomical surveys of the nearby space in almost real time needed to secure new discoveries. The NEARBY Project (Visual Analysis of Multidimensional Astrophysics Data for Moving Objects Detection) aims to develop a software platform and application to process and analyze multidimensional data in order to detect and identify faint moving objects in astronomical images of the same field taken in similar observing conditions (weather, filter, exposure time) within short time intervals. The project is funded by the Romanian Space Agency (ROSA). The NEARBY software also supports the visually analysis and validation of the moving objects, flexible description of the adaptive processing over high performance computation infrastructure.
University of Central Florida, USA
Time : 09:40-10:15
Pamela McCauley is PhD in Industrial Engineering, University of Oklahoma, May 1993. She pursued her Master’s and Bachelor’s Degree both in Industrial Engineering at the same university in December 1990 and May 1988 respectively. She is an internationally recognized Innovator and Industrial Engineering Researcher in the development of mathematical models, human engineering, and engineering leadership in the Department of Industrial Engineering at the University of Central Florida, USA. She is the author of over 80 technical papers, book chapters, conference proceedings and the best-selling ergonomics textbook, Ergonomics: Foundational Principles, Applications, and Technologies and her research-based book: “Transforming Your STEM Career Through Leadership and Innovation: Inspiration and Strategies for Women”. The US State Department awarded her the prestigious Jefferson Science Fellowship for the term 2015-2016.
It is well established that innovation exhibits strong geographical clustering in locations where specialized inputs, services and resources for innovation processes are located (Asheim & Gertler, 2005). Given the disparate nature of the international space community, it is logical to explore opportunities for creating this “innovation clustering” that is normally restricted to geographical clusters as a “virtual innovation cluster”. Thus, location and spatial concentration of firms that stimulate flows of knowledge between firms and between universities and firms and interactive learning are critical aspects of collaborative innovation efforts that generate new knowledge and innovations however much of this knowledge continues to be tied to certain physical locations (Liu, Chaminade & Asheim, 2013). Multinational firms take advantage of this by locating in those concentrations (clusters) in the world that have accumulated specific competencies and knowledge that is difficult to acquire elsewhere (Lewin, Massini & Peeters (2009), which gives opportunities to fully exploit the interaction between intra- and inter-firm knowledge networks (Coe, Dicken & Hess, 2008). The question is whether or not this can be accomplished with a virtual innovation cluster and this presentation makes a case for the establishment of science focused innovation clusters comprised of multinational companies, universities and governmental space agencies. To achieve this vision, one must understand the importance of local input factors and of local inter-firm dynamics for a firm’s ability to innovate and to gain competitive advantage is well documented in the literature on innovation and regional development (Wolfe, 2009). This understanding must then be translated and modelled in secure virtual, on-line or social media collaborative environments. This keynote presentation shares the importance of space collaboration advancing towards virtual clusters and explores the use of collaborative innovation models to achieve the goal of international virtual space innovation clusters.
Federal Agency for Cartography and Geodesy, Germany
Time : 10:40-11:15
Yüksel Altiner has earned his Bachelor of Science Degree from the Yildiz Technical University, Istanbul, Turkey and Master and Doctoral Degrees from the University of Bonn, Germany. In 1997, he was named a University Docent in Geodesy by the Turkish Interuniversity Committee. He developed an analytical surface deformation theory, which was published in a book in 1999 and later translated from English into Chinese. Since 1989, he has worked in the Geodesy Division of the Federal Agency for Cartography and Geodesy in Frankfurt am Main, Germany. From 1980 to 1988 he had an occupation as a Freelance Journalist at the German Parliament (Deutscher Bundestag) in Bonn. He is mainly interested in geodetic study of the earth’s crust movements.
The era of satellite geodesy began with the reception of the signal from the Russian satellite Sputnik on the earth's surface on October 4, 1957. That was the first satellite ever in space. On July 21, 1969, the American astronaut Armstrong became the first human to walk on the Moon. Between these two important events lies a time difference of only about 10 years. Today, there are so many satellites in space that pose a serious threat even to the world. This presentation focuses on the accuracy of navigation and positioning obtained using different satellite constellations and asks if we need so many satellites in space for our everyday personal and professional use or is this a fierce competition between the so-called great powers?