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Dr. Radu Vasiu
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Academic Career Length
22Years (2005-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
SVSilviu Vert
Silviu VertDADiana Andone
Diana AndoneATAndrei Ternauciuc
Andrei TernauciucVMVlad Mihaescu
Vlad MihaescuOROana Rotaru
Oana RotaruRVRadu Vasiu
Radu Vasiu +2
Digital storytelling platforms have proven to be a great way of bringing cultural heritage closer to people. What lacks is a deeper understanding of the user experience of such systems, especially in multi-platform digital storytelling. For the last three years, we have been developing a project called Spotlight Heritage Timisoara, which is at its core a digital storytelling platform for the city of Timisoara (Romania), soon to be European Capital of Culture in 2023. The project consists of a website, mobile applications, and interactive museographic and street exhibitions. This paper presents a multi-platform usability evaluation study which employed semi-structured interviews, observations, think-aloud protocol, SUS questionnaire, Net Promoter Score and Product Reaction Cards to gather insights from 105 participants and reveal usability problems in the Spotlight Heritage context. We found out that the four platforms, i.e., interactive touchscreen table, desktop/laptop, mobile and Augmented Reality, have very good usability scores, are considered accessible and useful, work seamlessly together, and create user satisfaction and loyalty, across demographic groups, having the potential to bring people closer to cultural heritage.
Journal Article
Ciprian ORHEIVBVictor Bogdan
Victor BogdanCBCosmin Bonchis
Cosmin BonchisRVRadu Vasiu
Radu VasiuEdges are a basic and fundamental feature in image processing that is used directly or indirectly in huge number of applications. Inspired by the expansion of image resolution and processing power, dilated-convolution techniques appeared. Dilated convolutions have impressive results in machine learning, so naturally we discuss the idea of dilating the standard filters from several edge-detection algorithms. In this work, we investigated the research hypothesis that use dilated filters, rather than the extended or classical ones, and obtained better edge map results. To demonstrate this hypothesis, we compared the results of the edge-detection algorithms using the proposed dilation filters with original filters or custom variants. Experimental results confirm our statement that the dilation of filters have a positive impact for edge-detection algorithms from simple to rather complex algorithms.
Journal Article
Ciprian ORHEISVSilviu Vert
Silviu VertMMMuguras MOCOFAN
Muguras MOCOFANRVRadu Vasiu
Radu VasiuComputer Vision is a cross-research field with the main purpose of understanding the surrounding environment as closely as possible to human perception. The image processing systems is continuously growing and expanding into more complex systems, usually tailored to the certain needs or applications it may serve. To better serve this purpose, research on the architecture and design of such systems is also important. We present the End-to-End Computer Vision Framework, an open-source solution that aims to support researchers and teachers within the image processing vast field. The framework has incorporated Computer Vision features and Machine Learning models that researchers can use. In the continuous need to add new Computer Vision algorithms for a day-to-day research activity, our proposed framework has an advantage given by the configurable and scalar architecture. Even if the main focus of the framework is on the Computer Vision processing pipeline, the framework offers solutions to incorporate even more complex activities, such as training Machine Learning models. EECVF aims to become a useful tool for learning activities in the Computer Vision field, as it allows the learner and the teacher to handle only the topics at hand, and not the interconnection necessary for visual processing flow.
1 January 2012 in Communications in Computer and Information Science
Book Chapter
17 March 2020 in BRAIN. BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE
Journal Article
VHVictor Holotescu
Victor HolotescuRVRadu Vasiu
Radu VasiuChallenges and Emerging Solutions for Public Blockchains
1 January 2014 in Communications in Computer and Information Science
Book Chapter
SVSilviu Vert
Silviu Vert
RVRadu Vasiu
Radu VasiuAbout Me
Prof. Dr. Radu Vasiu received his M.Sc. and Ph.D. degrees in Electronics and Telecommunications Engineering from the Politehnica University of Timisoara, Romania in 1982 and 1997, respectively. He is currently a professor at the Faculty of Electronics, Telecommunications, and Information Technologies of the Politehnica University of Timisoara, former President of the Politehnica University Senate until 2023, Director of the Multimedia Research Centre, and Director of the Institute for Digital Transformation. His research interests are in the area of blockchain technologies, AR/VR technologies, open data, smart cities, mobile applications, e-learning, multimedia, and web technologies. Since 1993 he has been involved in more than 30 international projects, especially in the field of multimedia and e-learning, both as coordinator and as contractor. The publication list includes 12 books, 5 conference proceedings as editor, 21 book chapters, and more than 200 papers published in journals or conference proceedings. He was involved in 45 research or international cooperation projects. He acts as President of the International Association for e-Science (IAFeS). He is also a member of the IEEE Computer Society and IEEE Communications Society, European Distance and E-learning Network (EDEN)-EDEN Fellow, European Universities Association (EUA), International Association of Science and Technology Engineers for Development (IASTED), and the Romanian Academy for Technical Sciences.