Professor Håkan Grahn
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 almost 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 Department of Software Engineering and Computer Science, and during 2011-2013 he was Dean of research at the Faculty of Engineering. Professor Grahn is a member of the ACM, the IEEE, and the Computer Society.
Professor Lars Lundberg
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.
Professor Robert Feldt
Robert Feldt is a professor of software engineering at Blekinge Institute of Technology, Sweden and at Chalmers University of Technology, Sweden. He has also worked as an IT and software consultant for more than 20 years helping companies with strategic decisions and technical innovation. His research interests include applications of optimization and machine learning in software engineering, human-centered software engineering, software testing and verification and validation, requirements engineering and user experience. He is considered one of the early pioneers of search-based software engineering. Most of his research is empirical and conducted in close collaboration with industry partners in Sweden and globally. He received a Ph.D. (Techn. Dr.) in computer engineering from Chalmers University of Technology in 2002. He has developed open-source libraries that together have been downloaded more than 50,000 times.
Professor Markus Fiedler
Contact information Personal webpage
Professor Niklas Lavesson
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.
Assoc. prof Siamak Khatibi
Digital imaging, image processing, image analysis and computer vision
Dr Patrik Arlos
Dr Mikael Svahnberg
Mikael Svahnberg is an associate professor in Software Engineering at the Department of Software Engineering at Blekinge Institute of Technology. He has ha M.Sc. in Software Engineering (1989) and a PhD in Software Engineering from Blekinge Institute of Technology (2003). His research interests include Software Architectures, Requirements Engineering, Empirical Research Methodology, Software Engineering Decision Support, Static Code Analysis, and Software Architecture Reconstruction
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
Dr Marie Persson
Dr Yulia Sidorova
Julia Sidorova, PhD, graduated from Moscow State University in 2002 and obtained her PhD from Universitat Pompeu Fabra, Barcelona, in 2009. She is a postdoctoral researcher in the industry-academia project Scalable resource-efficient systems for big data analysis, with Telenor Sweden (PI L. Lundberg), and she is the PI of "Performance evaluation of database technologies for mobility data". Her research concerns data mining and applications: researchgate,googlescolar. Master's Students: S. Karlsson (speech as a cost-effective biomarker in neurodisorders), S. Sagar (chemical retriever, and graph clustering of user mobility for Telenor), Ch. Lindas (games).
Contact information Personal webpage
Dr Abbas Cheddad
I did my PhD at the faculty of Computing and Engineering at the University of Ulster in Northern Ireland, UK. My PhDs focus was on strengthening steganography in digital images. My thesis, completed in 2009, was a worthwhile contribution to knowledge in the subject area and also produced two successful international patent applications. I 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). I was awarded a research grant from University of Ulsters Innovation centre worth £7,430 and Invest NI & European Regional Development Fund worth £77074.20.
Dr Emiliano Casalicchio
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 Kusetogullari
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.