Marko KrstićData Scientist & IT Professional

BIRTHDATE
01-11-1986
WORK AS
IT Professional at RATEL
EMAIL ADDRESS
mkrstic.etf@gmail.com

About Me

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.

A breakthrough in machine learning would be worth ten Microsofts.

- Bill Gates -

Research interests

RECOMMENDER

SYSTEMS

Recommender systems are software agents that help users choose objects of interest in the environments in which the number of available objects exceeds user’s ability to examine each of them individually. The main focus of my research are context-aware systems and systems that can work in resource limited environments.

MACHINE

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.

EDGE

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.

INFORMATION

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.

Statistics

3journal papers
4conference papers
1project

Publications

International journals

[1] M. Krstić, M. Bjelica, “Personalized Program Guide based on One-Class Classifier,” IEEE Transaction on Consumer Electronics, vol. 62, no. 2, pp. 175-181, May 2016.

[2] M. Krstić, M. Bjelica, “Impact of Class Imbalance on Personalized Program Guide Performance,” IEEE Transaction on Consumer Electronics, vol. 61, no. 1, pp. 90-95, February 2015.

[3] M. Krstić, M. Bjelica, “Context Aware Personalized Program Guide Based on Neural Network,” IEEE Transaction on Consumer Electronics, vol. 58, no. 4, pp. 1301-1306, November 2012.

International conferences

[1] M. Krstić, M. Bjelica, “Performance metrics for personalized program guides,” 13th Symposium on Neural Network Applications in Electrical Engineering, Belgrade, pp. 113- 117, September 2016.

[2] M. Krstić, M. Bjelica, “Personalized TV Program Guide Based on Neural Network,” 11th Symposium on Neural Network Applications in Electrical Engineering, Belgrade, pp. 227- 230, September 2012.

Domestic conferences

[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.

PhD thesis

Personalized Program Guides for Digital Television

Master thesis

Personalized Electronic Program Guide

Bachelor thesis

Carrier Ethernet: аrchitecture, standards and interoperability with GMPLS technology

Skills

80%Matlab
75%R
70%Python
80%T-SQL

Courses and Certificates

Courses
26.06.2017. - 30.06.2017.

Designing Business Intelligence Solutions with Microsoft SQL Server 2014

Implementing Data Models and Reports with SQL Server 2014

30.01.2017. - 03.02.2017.
17.10.2016. - 19.10.2016.

Designing a Data Solution with Microsoft SQL Server 2012/2014

Developing Microsoft SQL Server 2012/2014 Databases Course

30.05.2016 – 30.06.2016
March 2015

MCSA SQL Server 2012 Course

  • -Querying Microsoft SQL Server 2012;
  • -Administering Microsoft SQL Server 2012;
  • -Implementing a Data Warehouse with Microsoft SQL Server 2012.

CCNP Routing & Switching

Cisco Networking Academy

  • -Implementing Cisco IP Routing;
  • -Implementing Cisco IP Switched Networks;
  • -Troubleshooting and Maintaining Cisco IP networks.

2012 - 2013
2010 - 2011

CCNA Exploration

Cisco Networking Academy

  • -Network Fundamentals;
  • -Routing Protocols and Concepts;
  • -LAN Switching and Wireless;
  • -Accessing the WAN.

Certificates
January 2017 - Present

Introduction to Python for Data Science

edX

See certificate

Querying with Transact-SQL

edX

See certificate

January 2017 - Present
January 2017 - Present

Statistical Thinking for Data Science and Analytics

edX

See certificate

Introduction to Genomic Technologies

Coursera Course Certificates

See certificate

December 2016 - Present
May 2016 - Present

Machine Learning Foundations: A Case Study Approach

Coursera Course Certificates

See certificate

Data Science Associate (EMCDSA)

EMC

December 2015 - Present
May 2014 – Present

Getting and Cleaning Data

Coursera Course Certificates

See certificate

R Programming

Coursera Course Certificates

See certificate

May 2014 - Present
May 2014 – Present

The Data Scientist’s Toolbox

Coursera Course Certificates

See certificate

Software Defined Networking

Coursera Course Certificates

See certificate

August 2013 – Present
End

testimonials

Marko is probably my best graduate and PhD student.

I have known him for last 7 years; during that time he worked on developing ELM models for
movie recommender systems.

Marko proved to be a hard working, creative, and reliable team member. I enjoyed working with him and hope to continue the collaboration in the future.

Dr Milan Bjelica, Associate Professor at School of Electrical Engineering, University of Belgrade.
I collaborate with Mr. Marko Krstic on several research and engineering projects. Therefore, I can confirm that Marko has very strong maths, algorithms and engineering background. He will have my full support whenever he asks.
Dr Milan Čabarkapa, Associate Professor at Faculty of Technical Sciences, Singidunum University

and Research Fellow at School of Electrical Engineering, University of Belgrade.

 

 

Projects and other activities

Projects

[1] Electro-Active polyHIPE Polyelectrolytes – Bilateral project between Serbia and Slovenia.

Conferences

[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.

Reviewer

[1] The 6th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2017), October 17th – 20th, 2017, Guangzhou, China

[2] 7th International Conference on Electronics, Communications and Networks (CECNet2017), November 24-27, 2017, National Dong Hwa University, Hualien, Taiwan.

Memberships

[1] IEEE Student Member

[2] Member of UDIES – Electrical Engineers Society of Serbia

Contact

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