Anton Borg

Anton Borg


Institutionen för datavetenskap, Rum J3117


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Brief Summary

Scientific Experience

I began my Ph.D. studies in 2009 at Blekinge Institute of Technology, in a project with the goal to prevent malicious software. Within this project we investigated the identification of malicious software using reputation systems for software (using simulations), as well as classification of software based on End User License Agreement (using predictive machine learning methods). Further, the classification of e-mail based on online social network data was investigated (using predictive machine learning methods). In 2012 I defended my Licentiate Thesis, Decision support for the estimation of the utility of software and e-mail. The main theme of the thesis was methods and decision support systems to help users decide on the utility of software and e-mail.

In 2012 I started working in a project in collaboration with local law enforcement in Blekinge. The goal of the project was to develop a method for structured data collection from residential burglaries and to develop a decision support system. The research that I was mostly involved in concerned how machine learning approaches can be used to detect links between crime cases, i.e. detecting series of crimes. The methods that were investigated were clustering and classification techniques, with the results evaluated and analyzed using appropriate statistical tests. The project, initially, involved on the local regional law enforcement, but has during the years grown to involve law enforcement on the national level and multiple regional areas, as well as the Swedish National Forensic Center. The developed decision support system is, today, in use by law enforcement departments in several areas in Sweden. The feedback from these organizations have been very positive and a good cooperation exists.

Late 2014 I defended my Ph.D. thesis, On Descriptive and Predictive Models for Serial Crime Analysis. The thesis main theme is intelligent decision support systems for crime series analysis, focusing on residential burglaries. The work is mainly in applied machine learning. The thesis deals with data structures, comparison of methods (predictive and descriptive), and evaluation of method results. A thread throughout my research career has been the use of machine learning to solve research problems. The methodology used are mainly experimental, in combination with appropriate approaches, e.g. statistical tests, in order to evaluate the results.

The project in collaboration with law enforcement has been very successful and attention in media, by the government, and by several law enforcement organizations (including internationally). The interest for the project from Nordic criminology and law enforcement researchers, and Swedish and international law enforcement organizations have been high. Sweden’s former minister of justice have expressed interest and visited BTH to learn more about the project. A number of presentations has been held within the project to several governmental agencies (e.g. Swedish coast guard) and other companies (e.g. insurance companies), where the research results have met positive feedback. Two follow up projects have been financed by the Regional Council of Blekinge (2015), and from Vinnova (2016). The collaboration with law enforcement during both continuation projects have been very positive. I was co-applicant for these project and the sub-project leader for key sub-projects.

I have since spring 2017 been involved in the project titled Scalable resource-efficient systems for big data analytics.

Teaching Experience

I started my teaching as a Ph.D. student. Within in my Ph.D. studies I’ve had 20% department duties (primarily teaching). During this teaching time I have been involved in multiple courses, holding lectures and assignments within the Bachelor program in Computer Security, e.g. Introduction to Computer Security, Software Security. I have also been involved in programming courses, Programming, Data structures, and Algorithms and introduction to programming in C++, where I’ve held lecture series, practical exercises, and examined course modules. As my research focuses on machine learning, I have also been involved in the assignments (including examinations) in the Machine Learning course. Further, I’ve developed and been responsible for course modules in other courses, e.g. Databases, Computer Security for parents, Security in Digital Ecosystems.

I have, since the beginning of 2015, been employed in a post-doc position. During this time I have, similar to my time as a Ph.D. student, had 20% teaching time. The at least half of this time has been as responsible for the Bachelor program in Computer Security at BTH. In this role, I’ve been responsible for courses to include in the program and which order of courses occur, pedagogical progress, student contact, etc. The remaining time has been used to give lectures, supervise thesis work, but primarily as a reviewer of bachelor and masters theses. Further, since Jan 1, 2017 I’ve also been responsible for the civil engineering program in computer security. I am also responsible for the development of a Bachelor of Science Engineering (Swedish Högskoleingenjör) in Computer Security.

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