I received bachelor, master and PhD degrees in Electrical and Computer Engineering from School of Electrical Engineering (ETF), University of Belgrade. Although my interests during bachelor studies were closely related to the telecommunication networks, my research on master and PhD studies is mainly focused on recommender systems and machine learning techniques.
Since August 2013 I started working at Regulatory Agency for Electronic Communications and Postal Services (RATEL), firstly as Advisor in IT department and then as Senior Cyber Security Advisor at Serbian National Computer Emergency Team.
I actively participate in the working group 1 of COST CA17124 action Digital forensics: evidence analysis via intelligent systems and practices and in CASPER (Children Agents for Secure and Privacy Enhanced Reaction Cascading) project funded by H2020 Next Generation Internet Trust 2019001. Recently, I become Member Committee Substitute for COST CA18115 action Transnational Collaboration on Bullying, Migration and Integration at School Level.
Beside application of artificial intelligence in the area of cyber security and digital forensics, my current research interests are related to evidence based policy. I am holder of certificate provided by IDB10-1x: Data for Effective Policy Making course, created by Inter-American Development Bank.
You can download my CV here.
SYSTEMS
LEARNING
Machine learning is a core subarea of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. The main focus of my research are neural networks, deep learning and algorithms that can provide real-time learning in resource limited environments.
COMPUTING
Edge computing is a method of optimizing cloud computing systems by performing data processing at the edge of the network, near the source of the data. This reduces the communications bandwidth needed between consumer devices and the central data centre by performing analytics and knowledge generation at or near the source of the data. The main focus of my research are machine learning algorithms that can work under these conditions.
SECURITY
Information Security refers to the processes and methodologies which are designed and implemented to protect print, electronic, or any other form of confidential, private and sensitive information or data from unauthorized access, use, misuse, disclosure, destruction, modification, or disruption. The main focus of my research is protection of users’ privacy.
[1] M. Krstić, M. Bjelica, “Personalized Guide for Choosing Multimedia Content,” 60th Society for Electronics, Telecommunications, Computers, Automatic Control and Nuclear Engineering (ETRAN) Conference, Zlatibor, Serbia, TE1.2.1. 1-5, June 2016.
[2] M. Krstić, P. Jovanović, “Improving Characteristics of Given Finite Impulse Response Filter,” 16th Telecommunications Forum TELFOR, Belgrade, Serbia, pp. 976-979, November 2008.
Personalized Program Guides for Digital Television
Personalized Electronic Program Guide
Carrier Ethernet: аrchitecture, standards and interoperability with GMPLS technology
[1] Electro-Active polyHIPE Polyelectrolytes – Bilateral project between Serbia and Slovenia.
[1] Participant of ACM Summer School on Recommender Systems, Bozen-Bolzano, Italy, 21-25 August 2017.
[2] Speaker at Data Science Conference, Belgrade, Serbia, 11-12 October 2016.
[3] Participant of Blue Sky conference, Budapest, Hungary, 17 – 19 June 2014.
[4] Participant of EYE (Empowering Young Explorers) Lab Surfing workshop, Belgrade, 11 – 12 March 2014.
[1] IEEE Student Member
[2] Member of UDIES – Electrical Engineers Society of Serbia