Veronica Sundstedt is an Associate Professor at BTH. She has been the Head of the Department of Creative Technologies (DIKR) and afterwards the Head of the Department of the Computer Science (DIDA) at BTH during the years 2014-2020. Previously, she was a Lecturer at Trinity College Dublin, and she has been a Postdoc at the University of Bristol and the University of Bath. Veronica holds a Ph.D. in Computer Graphics from the University of Bristol and an M.Sc. in Media Technology from the University of Linköping. Her research interests are in visual and interactive computing, focusing on human-centered computing, including perception in computer graphics and visualization and novel analysis and interaction techniques (e.g., eye tracking). Veronica co-chaired the ACM Applied Perception in Graphics and Visualization conference in 2007 and the Eurographics Ireland Workshop in 2009. She organized the first conference on Novel Gaze-Controlled Applications in 2011 at BTH and was Program Chair for ACM SAP (2012). In 2020 she co-chaired the Eurographics STAR track and in 2022 she gave the keynote on PLEY – the 3rd Eye Tracking in Games and Play Workshop. Veronica is on the editorial board of the ACM TAP journal and the Frontiers journal – Virtual Reality and Human Behaviour. Veronica published the first book on eye tracking and games called “Gazing at Games: An Introduction to Eye Tracking Control”. Since 2021, she is also managing the five-year program Master of Science in Engineering: Game Technology at BTH.
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.
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.
Prashant Goswami is an Associate Professor in the GAME team at the Department of Computer Science at BTH. He obtained his B.Tech & M.Tech in Computer Science and Engineering from the Indian Institute of Technology (IIT), Delhi (2000-2005), and a PhD from the University of Zurich in Feb 2012. He was a Research Fellow at Nanyang Technological University, Singapore (2012-2013), and a postdoc at INRIA-Grenoble, France (2013-2014), before starting as an Assistant Professor at BTH in November 2014. His specialization lies in the field of computer graphics, specifically dealing with the physical simulation of fluids, (water, clouds, and snow), processing and visualization of large datasets, and GPU-based programming. He has also co-supervised Ph.D. students in the related fields of traffic data analysis and eHealth. He is an active peer reviewer of high-standing journals and conferences in the field of computer graphics. He has served as the leading Guest Editor for a special Issue in Education Sciences (MDPI), and Frontiers in Virtual Reality journals. He has also obtained a grant from the Swedish government (Linnaeus-Palme) to establish a teaching collaboration between BTH Karlskrona and Indian Institute of Technology (IIT) Mandi.
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. Currently, Cheddad is leading Theme C in the HINTS research profile. 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.
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.
Håkan Grahn is a professor of Computer Engineering at the Department of Computer Science at Blekinge Institute of Technology. He received a M.Sc. degree in Computer Science and Engineering in 1990 and a Ph.D. degree in Computer Engineering in 1995, both from Lund University. His main interests include computer architecture, multicore systems, parallel computing, performance evaluation, image processing, and AI/machine learning. He has published well over a hundred international peer-reviewed papers on these subjects, including more than 25 journal articles. He lead the research project “Scalable resource-efficient system for big data analytics”, funded with 36 MSEK by the Knowledge Foundation during 2014-2020. From January 1999 to June 2002, he was Head of Department for the Dept. of Software Engineering and Computer Science, and during 2011-2013 he was Dean of research at Blekinge Institute of Technology.
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).
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”.
Lars Lundberg is since more than 23 years a full professor of computer systems engineering at Blekinge Institute of Technology (BTH) in Sweden. Lars took has a master in computer science from Linköping university (Sweden), and a Ph.D. from Lund University (Sweden). Professor Lundberg is the dean of the faculty of computing at Blekinge Institute of Technology. Lars has advised 15 PhD students to their doctoral degree and published more than 200 papers in international journals and conferences. He is a co-founder (together with two of his students) of an IT company (www.hll.se). The company started 2000 and has up until 2022 had a total turnover exceeding 16,000,000 Euros. His research interests include big data, machine learning, real-time systems, high-performance processing, combinatorial optimization, software engineering and cloud computing.
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.
Thi My Chinh Chu (M’17) received the B.S. degree in electronics and communications from Hanoi University of Science and Technology, Vietnam, in 2004, and the M.Sc. degree in electronics and communications from University of Science and Technology, Vietnam, in 2007. From 2004 to 2010, she was with the Radio Broadcasting of Vietnam, the Voice of Vietnam (VOV). In April 2011, she joined the Radio Communications Group, Blekinge Institute of Technology, Sweden as a Ph.D. candidate. In May 2015, she received the Ph.D. degree in Telecommunication Systems. Currently, Dr. Chu is a Senior Lecturer at the Blekinge Institute of Technology. Her current research interests include cooperative communications, cognitive radio networks, mobile multimedia, quality of experience, and perceptual quality assessment.
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.
Valeria Garro is an associate 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).
Dr. Shahrooz Abghari is a lecturer in the Computer Science Department at Blekinge Institute of Technology (BTH), where he pursued his PhD. Shahrooz is affiliated with the Artificial Intelligence and Data Analytics (AIDA) research group of the Department of Computer Science of BTH. His main research interests and activities are around the topic of outlier detection. He mainly works with the industry on different application domain problems and challenges. Regarding research experience, he primarily focuses on data analysis, unsupervised machine learning and data mining techniques, and time series analysis. Shahrooz is currently involved in a research project as a team member, “Distributed and Adaptive Edge-based AI Models for Sensor Networks” in collaboration with SONY R & D Lund Center.
Milena Angelova is a Postdoc in Computer Science at the Blekinge Institute of Technology. She earned her Ph.D. from the Technical University of Sofia, branch Plovdiv, Bulgaria (TU-Plovdiv), in 2020, after completing an MSc at the same institution in 2015. She was an Assistant at TU-Plovdiv from 2015 to 2019. Milena has approximately 9 years of industrial experience. She worked from 2014 to 2020 as a Full Stack Developer in a small Bulgarian company. After that, she continued working as a Data Engineer at two different Bulgarian companies from 2020 to 2021 and from 2021 till 2023. Milena is an online trainer and teaches online courses in different private academies where she teaches Python as a programming language. She has interests related to Data Mining, Machine Learning, Semantic Web, and Expert Systems. She is an enthusiast in learning programming languages and technologies, as well as sharing them with people who would like to enter the world of computer science.
Diego Fernando Navarro Prada is a Ph.D. student and an adjunct lecturer for the Department of Computer Science, at the Blekinge Institute of Technology. He worked as a research assistant for the Multimedia Research Group (GIM) from the Nueva Granada Military University in Bogotá, and as a lecturer for the Multimedia Engineering bachelor‘s program at the same university. After finishing his master’s studies, Diego worked as an adjunct lecturer for the Department of Creatives Technologies at the Blekinge Institute of Technology in Karlskrona, Sweden. Diego’s research interests and main fields of experience are Game Design and Development, HCI, Emerging Interaction Technology, Virtual Reality, and Psychophysiological analysis. Diego holds a Bachelor’s degree in Multimedia Engineering from Nueva Granada Military University (2009), a Magister of Science degree in Multimedia Management from Saint Thomas Aquinas University (2011), a Master of Science degree in Design, Interaction and Game Technologies (2014), and a Licentiate degree on Computer Science (2020) from the Blekinge Institute of Technology.
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).
Yu Fu is a PhD. Candidate at BTH. She obtained her MSc. degree in Software Engineering in 2018 at BTH. and BSc. degree in Information and computing science in 2013 at Beijing Union University, with a minor, in Art and Design, at Coll & Univ. T.C. Coll RD. Zone, Beijing. By the end of 2017, she joined Computer Science department in BTH as a Ph.D. candidate. Her research interest is the application and evaluation of extended reality with game techniques in healthcare. She has been the reviewer of the IEEE-EMBS international conference on biomedical and health informatics (BHI 2022) and the EAI Endorsed Transactions on Pervasive Health and Technology (2022).
Tharuka Kasthuri Arachchige is a Ph.D. student in Computer Science at Blekinge Institute of Technology. She earned her MSc in Big Data Analytics from Robert Gordon University, Scotland, in 2022, following a BSc in Computer Science from the University of Jaffna, Sri Lanka, in 2019. Joining BTH in June 2023, she brings three years of industry experience as a machine learning engineer. Tharuka’s research interest lies in machine learning within distributed systems. She is currently involved in a research project titled ‘Contribution Evaluation in Federated Learning’ in collaboration with Ericsson.
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.
Viktor Kelkkanen is a Ph.D. student in the Computer Science department at the Blekinge Institute of Technology (BTH) in Karlskrona, Sweden. He is a back-end C/C++ programmer and experimental computer scientist currently studying remote rendering for VR. Main areas of expertise involve network programming, multithreading, performance optimization and graphics. Viktor holds a M.Sc. in engineering from BTH in game and software engineering since 2016 and a teknologie licentiate in computer science since 2021.
Max Danielsson, CEO, Blackdrop Interactive
Jörgen Gustafsson, Research Director AI, Ericsson Research
Stefan Wilke, Program Manager Innovation and Research, Ericsson Karlskrona
Martin Enthed, Innovation Manager, IKEA Marketing & Communication AB
Dr. Christian Johansson, CEO, NODA Intelligent Systems AB
Dr. Andreas Rossholm, Senior Research Scientist, Spotify AB
Ivan Perlesi, CEO, Virotea AB
Dr. Azra Habibovic, Technology Leader Human Factors, Research and Innovation (YR), Scania CV AB
Prof. Dr. Enkelejda Kasneci, Technical University of Munich
Prof. Amos Storkey, University of Edinburgh
Assoc. Prof. Özgü Alay, University of Oslo
Dr. Ulrich Engelke, CSIRO Data61
Genti Cifliku, Minc