Personal Data
Full name: | Branko Arsić |
Birthdate: | August 17th, 1984. |
Birthplace: | Kragujevac, Serbia |
Education and Academic Degrees
Ph.D. in Computer Science: |
(2014 - 2020) Faculty of Electronic Engineering - University of Nis Dissertation: A scalable software platform for exploring chemical and biological repositories Original title: Skalabilna softverska platforma za pretraživanje hemijskih i bioloških repozitorijuma |
M.Sc. in Mathematics & Informatics: |
( 2003 - 2008 ) University of Kragujevac, Faculty of Science, Serbia. Overall GPA is 9.50 out of 10 |
High School: | ( 1999 - 2003 ) "Prva Kragujevačka gimnazija", Kragujevac |
Primary School: | ( 1991 - 1999 ) "Jovan Popović", Kragujevac |
Scholarships
2003-2008: |
Scholarship for Talented Students from Ministry of Science and Technology of Serbia |
2004-2009: | Scholarship fonds “Studenica Foundation” |
2007 | Scholarship fonds "Mihailo Pupin" - Serbian national defense council of America |
Academic positions
2021-present |
Assistant Professor, Department of Mathematics and Informatics, Faculty of Science, University of Kragujevac |
Jan 2017 - Jul 2017: |
Visiting Scholar, Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, USA |
2013-2021: | Assistant, Department of Mathematics and Informatics, Faculty of Science, University of Kragujevac |
2009-2013: | Teaching and Research Assistant, Department of Mathematics and Informatics, Faculty of Science, University of Kragujevac |
2009-2013: | Research Assistant, the Mathematical Institute of the Serbian Academy of Sciences and Arts, Belgrade |
June 2008-(two months): | Internship, National Bank of Serbia |
Academic Projects
2018-2021 |
TAXINOMISIS, A multidisciplinary approach for the stratification of patients with carotid artery disease, Horizon 2020. |
Jan 2017 – Jul 2017 |
DARPA-GRAPHS: Prospective Analysis of Large and Complex Partially Observed Temporal Social Networks (Temple University) |
2011-2019: |
Project # III 044006 (supported by the Ministry of Science, Technology and Development, Republic of Serbia): Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education |
2011-2019: | Project # 174033 (supported by the Ministry of Science, Technology and Development, Republic of Serbia): Graph theory and mathematical programming with applications to chemistry and computer science |
2009-2011: |
Project # 174033 (supported by the Ministry of Science, Technology and Development, Republic of Serbia): Graph theory and mathematical programming with applications to chemistry and computer science |
Professional Experience
Nov 2018 - May 2019 |
Data Scientist @ Emisia Consulting |
Nov 2018 - | Research Scientist @ BioIRC - Bioengineering Research and Development Center |
Nov 2019 - | Digital Sociometrics Lab, part of the Institute for Philosophy and Social Theory at University of Belgrade |
Jun 2019 - | Data Scientist @ Nine Gate Neuro Startup, website: https://blog.ninthgateneuro.com/about/ |
Honor & Award
Honor date: Sep 2019
Deep Vortex team (website: http://deepvortex.team/) has created a credit risk prediction model for Nelt, large logistics & distribution company. Besides the highest accuracy score, proposed solution was equally precise when predicting all risk levels, and was designed with the goal to create equilibrium between different needs of internal stakeholders, finance department and sales department.
Local trainings / Study Visits / Courses
Workshop on Drug Design - The RCMD days in Kragujevac, QSAR modeling using topological indices, 9-13 Jun 2014, Kragujevac, Serbia. |
Summer School - Graph Spectra and Applications, Avgust 28 – September 3, 2012. DAAD Project, Center of Excellence for Applications of Mathematics, Vrnjačka Banja. |
PhD Course - Linear and integer programming, October-January (2010-2011), Mathematical Institute of the Serbian Academy of Sciences and Arts, Belgrade, dr Jozef Kratica. |
Summer School - Foundations of Information Technologies (FIT), June 14 and June 27, 2009, Tempus project DEUKS, Novi Sad, Serbia. |
Research Interests
Graph theory, Data Science, Machine Learning, Big Data, Semantic Web technologies.
Teaching Experience
Conducting tutorials for the following courses:
Undergraduate level:
Previously: