Håkan Grahn is a professor in Computer Engineering at the Department of Computer Science and Engineering 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 are computer architecture, multicore systems, parallel computing, performance evaluation, image processing, machine learning and data mining. He has published more than hundred papers on these subjects. He is heading the research project Scalable resource-efficient system for big data analytics, financed 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 the Faculty of Engineering.
Lars Lundberg is a professor in Computer Systems Engineering at the Department of Computer Science and Engineering at Blekinge Institute of Technology inSweden. He has a M.Sc. in Computer Science from LinköpingUniversity (1986) and a Ph.D. in Computer Engineering from LundUniversity (1993). His research interests include parallel and cluster computing, real-time systems and software engineering. Professor Lundberg’s current work focuses on performance and availability aspects.
Markus Fiedler is professor of Teletraffic Systems at Blekinge Institute of Technology, Department of Communication Systems. He received his Dipl.-Ing. (M.Sc.E.) and Dr.-Ing. (Ph.D.) degrees in Electrical Engineering with focus on ICT from Saarland University, Saarbrücken, Germany, in 1993 and 1998, respectively. His research focuses on Quality of Experience (QoE) of networked services and applications, an area in which he has co-organised several conferences and special issues; work within a set of European Networks of Excellence; three Dagstuhl Seminars; and recently a Dagstuhl Perspective Workshop.
Niklas Lavesson is Professor of Computer Science at Blekinge Institute of Technology, Sweden. He received his M. Sc. in software engineering (2003) and Ph. D. in computer science (2008) from Blekinge Institute of Technology. His main area of research is empirical machine learning with a special focus on evaluation and optimisation of supervised learning algorithms. He is the deputy manager of the KKS research profile Scalable and Resource-efficient Systems for Big Data Analytics.
Veselka Boeva is a professor at the Department of Computer Science and Engineering, BTH. She received her M. Sc. in mathematics with specialization in computer science from the Plovdiv University and Ph. D. in computer science from the Technical University of Sofia-branch Plovdiv (Bulgaria). She is Professor of Computer Science at the Department of Computer Systems and Technologies of the Technical University of Sofia-branch Plovdiv (Bulgaria). She has a long teaching experience in computer science and research experience in the field of data analysis, machine learning, decision making, bioinformatics, expertise retrieval and formal methods in software systems. Veselka has visited on different research fellowships several European universities as the Slovak Technical University, the Stockholm University, the Ghent University (Belgium), the Max Planck Institute for Human Development of Berlin and Blekinge Institute of Technology (Sweden).
Marie Persson received her PhD in Computer Science (2010) from Blekinge Institute of Technology, Sweden and is now working as an assistant professor at the same university. Her research interest includes healthcare modelling and resource allocation problems, especially with the application of simulation, optimization and machine learning.
Dr Abbas Cheddad did his PhD at the faculty of Computing and Engineering at the University of Ulster in Northern Ireland, UK. The PhD’s focus was on strengthening steganography in digital images. His thesis, completed in 2009, was a worthwhile contribution to knowledge in the subject area and also produced two successful international patent applications. Dr Abbas Cheddad have in records 14 international, peer reviewed, Journal papers, 26 peer reviewed international conference papers, 3 patents and patent applications, a book and a book chapter (invited). He was awarded a research grant from University of Ulster’s Innovation centre worth £7,430 and Invest NI & European Regional Development Fund worth £77074.20.
Emiliano Casalicchio joined BTH in 2015 as associate professor at the Department of Computer Science and Engineering. He has a PhD in computer Science from University of Rome Tor Vergata where he was postdoc and researcher. He was also visiting researcher at George Mason University, The Volgenau School of Engineering. Emilianos research interests include large scale distributed computer systems, with a focus on performance and security of Web-based systems, Cloud-based systems, and Critical Infrastructures. Since 1999 my research topics include Web systems, Grid systems, Publish-subscribe systems, Content Delivery Networks, Service Oriented Architectures. More recently i have been working on autonomic cloud computing, big data security, Identity theft prevention in mobile systems. Emiliano is PC member in international conferences, acts as reviewer for international journal and as independent project reviewer for the EU DG-CONNECT Unit E.2 Software & Services, Cloud.
Dr. Hüseyin Kusetoğulları received his PhD degree from the University of Warwick, UK, in 2012 and received his MSc and BSc degrees from the Electrical and Electronics Engineering Department at Eastern Mediterranean University, Cyprus in 2005 and 2007, respectively. After completing his PhD, he worked as a Post-Doc researcher in the Image Processing and Expert Systems Laboratory in the School of Engineering at Warwick University, UK. In 2013, he joined Department of Computer Engineering at Gediz University as Asst. Prof. and he gave technical core and elective courses for BSc and MSc students as well as doing research in his interested research area. After that, he worked on multiobjectivisation problems at the Department of Computer Science at Aberystwyth University as a Research Associate. He is currently working as a Post-Doc researcher for the Big Data project led by Prof. Håkan Grahn and Prof. Niklas Lavesson in the Department of Computer Science and Engineering at Blekinge Institute of Technology.
Anton Borg works as a researcher at the Department of Computer Science and Engineering at Blekinge Institute of Technology (BTH), Sweden. He received his Ph.D. in computer science from BTH in 2014. His main research interest is machine learning in decision support systems, previously within the areas of information security and computational criminology. Further, Anton has an undergraduate background in computer security.
Anton is responsible for the bachelor of science program in computer security, as well as the master of science in engineering in computer security (civilingenjör datorsäkerhet).
Martin Boldt is an assistant professor in Computer Science at the Department of Computer Science and Engineering at Blekinge Institute of Technology (BTH) in Sweden. He has a M.Sc. in Software Engineering from BTH (2003) and after graduating he started working at BTH as a teacher. In 2005 he started as a doctoral student, while working 50% as a teacher, and he successfully defended his Ph.D. thesis in Computer Science (2010). His research interests include learning algorithms and decision support systems, within areas such as computational criminology and information security.
Dr Fredrik Erlandsson
Fredrik Erlandsson is an Assistant Professor in Computer Science the Department of Computer Science and Engineering at Blekinge Institute of Technology (BTH) in Sweden. Fredrik’s research contains a huge amount of data from social media such as Facebook and Twitter etc. He’s research have focused on how to understand the users online behaviors, and further on to predict different behaviors. This have been done by modeling the behaviors on social media into interaction networks, which enable network-based and graph-based methods to model and understand the users’ behaviors.
Specialties: Social Media, Social Networks, Data Analytics, Machine Learning, Computer Security
Shahrooz Abghari is a PhD student in Computer Science at the Department of Computer Science and Engineering at Blekinge Institute of Technology in Sweden. He hold a Master in Computer Science from Blekinge Institute of Technology in 2013. His research interests are machine learning and data mining, and time series prediction.
Florian is a PhD student in Computer Systems Engineering at Blekinge Institute of Technology (BTH), Sweden. He received his B.Sc. in IT Systems Engineering from Hasso Plattner Institute (HPI) at the University of Potsdam, Germany (2011), and his M.Sc. as a dual degree in IT Systems Engineering/Computer Science from HPI and BTH (2014/15). His research area is centered around the processing of historical handwritten documents.
Christian is a PhD student in Computer Science at the Department of Computer Science and Engineering at Blekinge Institute of Technology (BTH) in Sweden.
He holds a Master of Science in Engineering in Computer Security from 2016.
His research interests include machine learning and data mining, currently within the home care domain.
Vishnu Manasa Devagiri is a PhD student in Computer Science at the Department of Computer Science. Manasa took her master’s degree in Computer Science at BTH, as a part of Integrated course from India. She has been working at Telenor as a consultant from Sigma Technology Systems for around 2 years. She worked with a team and they were developing APIs, used by the Telenor Apps.
Stefan is currently a research engineer within the BigData@BTH project. He received a BSc and an MSc in computer science from Blekinge Institute of Technology (BTH). Stefan is a lecturer at BTH since 2007 and since 2011 also program manager for the Master of Science in Game and Software Engineering and Master of Science in Computer Security programs at BTH. His current interests include computer graphics, image processing and GPGPU. Stefan have been involved in 2 international conference papers, 2 patent applications and a book chapter.
Siamak Khatibi is associate Professor of Computer Science at Blekinge Institute of Technology, Department of Communication Systems. He received his MSc in Electrical Engineering and his PhD for investigation in 3D reconstruction of brain cells using conventional microscopy and fluorescence illumination at Chalmers University of Technology in Göteborg, Sweden. His research interests are computer vision, image analysis, multimedia interaction and assessment, robotic vision, optical and sensory advancement, and human centered computing. He has also extensive experience with industry projects; resulting to several new patents and an innovation award, Der Deutsche Innovationspreis, in 2013 for a novel autostereoscopic 3D display technology.
Patrik is an assistant professor of telecommunication systems at Blekinge Institute of Technology since 2007, and the programme manager of the Telecommunication’s Master program since 2014 ( approximately 150 students). His current research interest includes Virtualization, Quality of Experience, Orchestration, Network Performance and Network Performance Measurement and Optimization. Patrik has operated the Network Performance Lab at BTH since 2003, and recently deployed and operated the Fi-ware Cloud node at BTH (XIFI).
Patrik has a MSc in EE with emphasize on Telecommunications and Signal processing (1999) from BTH, and a PhD in Telecommunication Systems from BTH in 2005. He was the Swedish representative to the COSTTMA (IC0703) between 2008 and 2012, the action was about Traffic Measurements and Monitoring.
Edgar is a PhD student in Computer Science and his research area is fraud detection and related interest topics: Multi-Agent Based Simulation, Machine Learning techniques with applied Visualization in the domain of retail stores, mobile payments and Anti Money Laundering (AML) for financial transactions. Edgar has a Bachelors degree in Computer Science from EAFIT University in Colombia and a Masters degree in Computer Science from Linköping University in Sweden.
Dr Stefan Axelsson
Stefan Axelsson received his MSc in Computer Science and Engineering at Chalmers University of Technology in Göteborg, Sweden and his PhD from the same university. Between the years of 2000 and 2006 he worked as a systems manager at Ericsson with the security of mobile telecommunications products. He is currently a senior lecturer at Blekinge Institute of Technology in south east Sweden. His research background includes intrusion detection and surveillance especially the application of the combination of machine learning and information visualisation to the problem. His current research interests include to apply the methods of network/computer surveillance to other areas of study, mainly digital forensics including fraud and money-laundering detection
Christine Niyizamwiyitira completed her PhD 2018-09-21 in Computer science at Blekinge Institute of Technology (BTH) in Sweden in Computer Science and Engineering Department. She completed her masters in 2010 in computer engineering from Korea university of Technology (KUT) in South Korea. Her research interests includes Real time systems, cloud computing, high performance computing, Database performance, and Voice based application. Her current Research focuses on Scheduling of real time systems on Virtual Machines (uniprocessor & multiprocessor) and Big data processing.
Sogand completed her PhD 2019-01-16 in Computer science at Blekinge Institute of Technology (BTH) in Sweden at the department of Computer Science and Engineering. Sogand was a PhD student in Computer Science and her research area is related with Cloud Computing, Virtualization and Real-time Scheduling. Sogand has a Bachelors degree in Computer Science and a Masters degree in Embedded Systems from Kristianstad University in Sweden. At the moment she is engaged in the large cloud computing project in corporation with Ericsson and Compuverde companies.
Eva García Martín completed her PhD studies on the 31 of January 2020 in Computer Science at the Department of Computer Science and Engineering at Blekinge Institute of Technology in Sweden. She holds a Master in Computer Science from Blekinge Institute of Technology (2013) and a Bachelors’s degree in Telecommunications engineering from Rey Juan Carlos University (2013). Her research area is machine learning, with a specific focus on developing energy-efficient data stream mining algorithms
J. Sidorova was born in Moscow, USSR in 1980. She received the M.S. degrees in linguistics from Moscow State
University, in 2002 and the Ph.D. degree in cognitive sciences from Universitat Pompeu Fabra, Barcelona,
From 2010 to 2014, she was a postdoctoral fellow at Universitat Autonoma de Barcelona and Universidad
Carlos III de Madrid, Spain. Since 2015, she has been with Blekinge Institute of Technology, where she is an Assistant
Professor with the Department of Computer Science and Engineering, Karlskrona, Sweden. She is the author of 26
scientific articles with research interests including pattern recognition, knowledge discovery, cognitive
paralinguistics and innovation biomedical applications. Dr. Sidorova was a recipient of several grants from Generalitat
de Catalonia, from the Alliance of Spanish universities and the Swiss Science Foundation.