Dr. Veselka Boeva is currently a Professor of Computer Science at BTH. She has research experience in the field of data analytics, outlier modelling and detection, decision making, bioinformatics, AI and unsupervised machine learning. The current research focus of Dr. Boeva is on advanced AI solutions that are able to cope with significant amounts of streaming data in a real-time context. Her research has been partly funded by successful research projects (Swedish Knowledge Foundation (KKS), Bulgarian National Science Fund, SONY Research Award Program) and a string of different research fellowships (Swedish Institute, NATO, Belgian Federal Science Policy Office, DAAD). As a result, she has visited and worked at several European universities as the Stockholm University, the Ghent University (Belgium) and the Max Planck Institute for Human Development of Berlin. Prof. Boeva is currently affiliated with a research group AIDA (Artificial Intelligence and Data Analytics) of the Department of Computer Science of BTH. The AIDA research is pursued in close collaboration and co-production with industrial partners under different R&D projects. Dr. Boeva was a PI of Sony RAP 2020 project “Distributed and Adaptive Edge-based AI Models for Sensor Networks”. Her publication record consists of over 100 peer reviewed publications. 

Yan Hu is a senior lecturer at the Department of Computer Science at BTH. Yan Hu received her M.Sc. degree in Computer Science in 2010 at Blekinge Institute of Technology, Sweden and M.Sc. degree in Computer Application Technology in 2011 at Zhejiang University of Technology, China. By the end of 2011, she joined BTH as a Ph.D. candidate. In April 2017, she received her Ph.D. degree in Computer Science. Her research interests include human-computer interaction, user experience design and evaluation, XR interaction, biometric research in behaviours and interaction, eHealth and applying XR to the health-related area. She has worked on several research projects in the area of mHealth, game addiction and human-centered computing for visual and interactive applications. 

Kurt is a professor for telecommunication systems and leads BTH’s team on SDS (Secure and Distributed Systems). His research interests are gathered around the architectures and operation of distributed future generation softwarized networks (incl. NFV and SDN), Clouds and IoT. Kurt has specialized on the orchestration, control, and performance of service management (incl. marketplaces, Blockchains). Lately, he has turned to topics of security, data privacy, and digital sovereignty. Kurt was holding the Chair of Future Communication at the University of Vienna (2008 to 2013; funded by Telekom Austria) and worked at NICT’s (National Inst. for Inform. and Comm. Tech.) in Tokyo, Japan (2008). He received a Ph.D. in CS (1999) and a Habilitation (2008) from the University of Würzburg, Germany. Kurt has an h-index of 26, secured over more 15MSEK of external funding for BTH, and over 37 Mio SEK (since 2003; date: 2022-09-20). He is currently leading or engaged in multiple national and international projects (e.g. KKS HÖG Symphony, H2020 Bonseyes/BonsAPPs). Kurt serves as the General Chair of the IEEE Conference on NFV-SDN since 2017. 

Markus Fiedler is Professor of Teletraffic Systems at the Department of Technology and Aesthetics (DITE). He received his Ph.D. degree in Electrical Engineering with focus on information and communication technology (ICT) from Saarland University, Saarbrücken, Tyskland, in 1998. Since then, he has been employed at Blekinge Institute of Technology (BTH). At BTH/DITE, he is research and education responsible for media technology with its programs digital visual production, digital sound production, design of digital and immersive experiences, and design of digital experiences for learning. His main research interest is user-perceived Quality of Experience (QoE) of applications and services. In addition to leading positions in a set of inter- and national projects, researcher networks, special issues and conferences, he has been strongly involved in the development of the QoE area as co-organiser of four Dagstuhl Seminars and one Dagstuhl Perspectives Workshop. He is specifically interested in QoE of Extended Realities (XR), sustainability issues related to ICT, and QoE as well as application of machine learning to QoE modeling. In teaching, he is passionate about quality issues and evaluation as a natural part of media design and production processes, towards “QoE By Design”. 

Emiliano Casalicchio is Associate Professor in Computer Science at Blekinge Institute of Technologies and at Sapienza University of Rome. His research interests gravitate to the area of large-scale distributed systems (cloud, edge, fog computing) and in particular, he deals with models, algorithms and technologies to ensure adequate levels of performance, reliability and security. His research has been developed over the years under many research projects funded by prestigious private and public institutions. E.Casalicchio is the author of numerous scientific papers published in prestigious international journals and conferences. He also served as peer reviewer for international journals and as conference and workshop chair. E. Casalicchio is currently affiliated with the research group AIDA (Artificial Intelligence and Data Analytics) of the Department of Computer Science of BTH. The AIDA research is pursued in close collaboration and co-production with industrial partners under different R&D projects. 

Abbas Cheddad is an Associate Professor in Computer Science at the department of Computer Science, BTH. He obtained the MSc degree in Computer Science from the University of Technology, Malaysia in 2005 and the PhD (with a distinction award) from the faculty of Computing and Engineering, University of Ulster, United Kingdom in 2009. Subsequently, he worked as a post-doc at Umeå Centre for Molecular Medicine. Following that, he joined the department of Medical Epidemiology and Biostatistics at Karolinska Institute as a researcher focusing on mammography statistical analysis for risk prediction of breast cancer. His research interests are in: Computer vision, Optical projection tomography, Steganography and information hiding, Image processing and analysis, and applied machine learning. He is a Senior IEEE Member and an ACM professional member. The group he led in the research profile “Scalable resource-efficient system for big data analytics”, collaborated with SONY Mobile Communications AB and Arkiv Digital AB. He also collaborated with GKN Aerospace Sweden AB in the supervision of a PhD student. He is the PI of the project “DocPRESERV”, funded by STINT. He has organised and chaired several international conferences and is a reviewer for top Journals in the field. He has published one book, one invited book chapter, two granted patents, and more than 70 publications. 

Valeria Garro is a senior lecturer at the Department of Computer Science (DIDA) at BTH. She obtained her Ph.D. degree in Computer Science in 2013 at the University of Verona and her Master’s Degree in Computer Engineering in 2008 at the University of Padova, Italy. Before moving to Sweden, she worked as research fellow at the Visual Computing Lab at ISTI-CNR (Italian National Research Council) located in Pisa, Italy. She has also been a postdoctoral research fellow at VIPS (Vision Image Processing and Sound) Lab at the University of Verona, Italy. Her research interests include visual and interactive computing in eXtended reality, visual perception, and visualization.  Some of her previous researches focused on computer vision and 3D shape analysis (e.g. 3D object retrieval, mobile metric 3D reconstruction and camera pose estimation).

Ilir Jusufi is a Senior Lecturer in the Department of Computer Science at Blekinge Institute of Technology (BTH), with a keen interest in the application of Information Visualization and Visual Analytics in game data analysis, alongside traditional domains such as life sciences, humanities, IoT, and software engineering. His work is dedicated to analyzing large, multivariate datasets, aiming to merge human visual capabilities with computational power to uncover unexpected patterns in complex data applications.

Ilir obtained his B.S. in Computer Science from South East European University, Tetovo, North Macedonia, in June 2006, followed by an M.S. in Computer Science from Växjö University, Sweden, in 2008. He earned his Ph.D. in Computer Science from Linnaeus University, Växjö, Sweden, on June 7, 2013, with a dissertation on ‘Multivariate Networks: Visualization and Interaction Techniques.’

After completing his Ph.D., Ilir served as a Postdoctoral Scholar at the University of California, Davis, CA, USA (2013-2014). At UC Davis’ Institute for Data Analysis and Visualization, he was involved in the Performance Analysis and Visualization at Exascale (PAVE) project, collaborating with Lawrence Livermore National Laboratory (LLNL) to develop visual analysis techniques for performance data from high-performance computing simulations.

 From 2015 to 2022, Ilir was a Senior Lecturer at Linnaeus University, Växjö, Sweden, in the Department of Computer Science and Media Technology. His research and teaching have centered around data analytics and visual analytics, with a particular focus on visual analytics techniques. He has been actively involved in co-advising students on topics related to data analytics, emphasizing the application of these techniques in various domains, including game data analysis.

Vishnu Manasa Devagiri is a Ph.D. student in the department of Computer Science at Blekinge Institute of Technology. The focus of her Ph.D. study is to explore unsupervised or semi-supervised learning algorithms suitable for evolving data. Her research interests include machine learning, concept drift, domain adaptation, data mining, and data analysis. She has experience in working with industrial research problems. During her Ph.D. studies, she collaborated with companies like iquest and Sony. Before starting her position at BTH, she worked as a developer in the industry for around two years. Manasa received her master’s and licentiate degrees in Computer Science from BTH in the years 2017 and 2021, respectively. 

Majed Elwardy is a Ph.D. student in the Computer Science department at the Blekinge Institute of Technology in Karlskrona, Sweden. He has previously worked as a research assistant at Signal Processing and Information Systems (SPIS) Laboratory at Sabanci University, Turkey, and as a teaching assistant for the Electronics Engineering and Mathematics department at Sabanci University. Prior to that, he was appointed as a teaching, and research assistant in the Electronics and Communications Engineering department (ECE), Mansoura University, Egypt. Majed’s research interests and main field of experience are Statistical Signal Processing, Machine Learning, Virtual Reality, and Brain-Computer Interfaces. Majed holds a bachelor’s degree in Communications and Information Engineering (CIE) from Mansoura University (2011) and a Master of Science degree in Electronics Engineering (EE) from Sabanci University (2016). 

Chaoming Wang is a Ph.D. student in Computer Science at Blekinge Institute of Technology. The focus of her Ph.D. study is to assess visual analytics solutions for intelligent realities. She obtained MSc in Computer Science from Chalmers University of Technology (2023),with a focus on Data Science and AI, and she holds a BSc in Automation from Donghua University, China (2020). Her diverse background spans electrical engineering, automation, and computer engineering. Her research interest lies at the convergence of machine learning, computer vision, and visualization techniques from industry to arts.

Nan Huang is a PhD student in the Department of Computer Science, falling under the Faculty of Computing at BTH (Blekinge Institute of Technology). Mr. Nan Huang graduated from Guangzhou University in 2020 with a bachelor’s degree and graduated from Guangdong University of Technology with a master’s degree in 2023. He focused on the research of 3D reconstruction based on multi-view images before moving to BTH, now his research interests are computer graphics and human-computer interaction.

Emilia Mendes works as a Full Professor at the Computer Science Department at the Blekinge Institute of Technology. The core of the research she is involved in falls mostly within Software Engineering and Computer Science. Currently, the main research areas she leads/collaborates on relate to: i) human aspects in sustainability decision-making; ii) Methodological aspects in Software Engineering relating to Systematic Literature Reviews (when and how to update reviews); iii) Best strategies for Agile team formation (aiming at higher productivity, quality and climate); human factors in Software Engineering (e.g. personality); iv) use of Grounded theory to understand industrial practices; and v) the use of machine learning techniques for: dementia prognosis; and predicting: i) decisions in software-intensive industries; ii) software development effort; iii) productivity; iv) quality; and v) team climate in Agile software development. She has also carried out research in many other research areas, which, when combined with the above mentioned areas, have jointly led to more than 220+ refereed publications, including 56+ fully refereed journal papers, and three books (one edited (2005 – Web Engineering), and two written as sole author (2007 – Cost Estimation Techniques for Web Projects; 2014 – Practitioner’s Knowledge Representation: A Pathway to Improve Effort Estimation)), and 9 best paper awards at International Conferences. She has also given 14 keynotes to date at several events. Further, regarding other measures of one’s research impact and academic reputation, her achievements have been to date the following: i) in relation to citations and h-index measures, she has received 9146 citations to date, and a h-index of 53 (http://scholar.google.com/citations?user=Mz4IbXgAAAAJ&hl=en); ii) has been cited amongst the top 2% scientists in the world based on career citations (https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000918).

Hans-Jürgen Zepernick received the Dipl.-Ing. (M.Sc.E.) degree from the University of Siegen, Germany, in 1987 and the Dr.-Ing. (Ph.D.) degree from the University of Hagen, Germany, in 1994. From 1987 to 1989, he was with Siemens AG, Munich, Germany. He is currently a Professor of radio communications at the Department of Computer Science of BTH. Prior to this appointment, he held the positions of Professor of wireless communications at Curtin University of Technology, Deputy Director of the Australian Telecommunications Research Institute, and Associate Director of the Australian Telecommunications Cooperative Research Centre. He also held visiting professorships with the University of Western Australia, Duy Tan University, Vietnam, and Gunadarma University, Indonesia. Hans-Jürgen was approved as a National Institute of Information and Communications Technology (NICT) Rank A Guest Researcher, Japan, and was awarded a visiting professor fellowship under the World Class Professor programme of the Ministry of Research, Technology, and Higher Education of Indonesia. He served as a member of the Swedish management committee within the European Network of Excellence on Quality of Experience in Multimedia Systems and Services. His research interests include advanced wireless communication systems, mobile immersive media processing, and quality of experience assessment of mobile immersive media. External funding secured in these fields for research and education projects with the liaisons he formed over the years is in the order of EUR 22 million (approx. SEK 228 million). He has authored or co-authored 350+ refereed publications on these topics, including 75 journal articles, one book (English and Chinese), and 13 book chapters. Hans-Jürgen has been the main supervisor of 19 PhD students and co-supervisor of 5 PhD students toward their doctoral exams with degrees awarded at Curtin University of Technology, The University of Western Australia, and BTH. Seven of his former students are full professors, research professor, or associate professors at different universities in Canada, Indonesia, Rwanda, Sweden, UK, and USA of which two were elevated to the grade of IEEE Fellow.