Lične Informacije

Nikola Obrenović
nikolaobrenovic's picture
Univerzitet u Novom Sadu
Fakultet tehničkih nauka
Departman za računarstvo i automatiku
Katedra za primenjene računarske nauke
Titula dr
Nastava docent
E-mail
Lična stranica https://www.linkedin.com/in/nikola-obrenovic/
Prostorija i telefon

 

Predmeti

Profesionalna biografija

Nikola Obrenović

Lični podaci

 

Obrazovanje

  • Ph.D. in Electrical and Computer Engineering - Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad, Serbia, GPA: 10 / 10, 2008-2015
  • Integrated M.Sc. and B.Sc. - Electrical and Computer Engineering, Faculty of Technical Sciences, University of Novi Sad, Serbia, GPA: 9.65 / 10, 2003-2008

Oblast Interesovanja

  • Databases
  • Combinatorial optimization
  • Operations research
  • Data mining / machine learning

Radno iskustvo

  • Assistant Professor, University of Novi Sad, Serbia, Faculty of Technical Sciences, Department of Power, Electronic and Telecommunication Engineering, 2019-present
  • CTO and Software Architect, Evo-Solutions LLC, Novi Sad, Serbia, 2019-present
  • Research and Teaching Associate, École polytechnique fédérale de Lausanne, Switzerland, School of Architecture, Civil and Environmental Engineering, Transport and Mobility Laboratory, 2017-2019
  • Assistant Professor, University of Novi Sad, Serbia, Faculty of Technical Sciences, Department of Power, Electronic and Telecommunication Engineering, 2016-2017
  • Software Architect, Schneider Electric DMS NS, Novi Sad, Serbia, 2016-2017
  • Teaching Assistant, University of Novi Sad, Serbia, Faculty of Technical Sciences, Department of Power, Electronic and Telecommunication Engineering, 2014-2016
  • Subteam Lead, Schneider Electric DMS NS, Novi Sad, Serbia, 2013-2015
  • Integration Lead, Schneider Electric DMS NS, Novi Sad, Serbia, 2011-2013
  • Software Engineer, Schneider Electric DMS NS / Telvent DMS / DMS Group, Novi Sad, Serbia, 2008-2010

Stručno i naučno usavršavanje

 

Profesionalno angažovanje

  • Reviewer for Computer Science and Information Systems (ComSIS) journal (www.comsis.org). ComSIS is included into the Thomson Reuters JCR list, with published IF from 2010.
  • PC member of 23rd EURO Working Group on Transportation 2020, Paphos, Cyprus, http://ewgt2020.eu
  • PC member of the MADEISD 2019 workshop, ADBIS conference, Bled, Slovenia, http://www.acs.uns.ac.rs/adbis2019/.
  • Reviewer and sub-reviewer for several other conferences.

Doktorske studije

 Ph.D. Thesis in Progress

  • Selin Ataç, École polytechnique fédérale de Lausanne, Switzerland, School of Architecture, Civil and Environmental Engineering, Transport and Mobility Laboratory, 2018-present

Dodatno

 

Publikacije

Nikola Obrenović

Naučni i stručni radovi

 Journal publications

  • Obrenović, N., Luković, I., Ristić, S. “Consolidation of database check constraints”, Software and Systems Modeling (SoSyM), Springer, ISSN: 1619-1366, DOI: 10.1007/s10270-017-0637-2, Vol. 18, No. 3, 2019, pp. 2111-2135.
  • Obrenović, N., Aleksić, S., Popović, A., Luković, I. “Transformations of Check Constraint PIM Specifications”, Computer and Informatics (CAI), Slovak Academy of Sciences, Institute of Informatics, Bratislava, Slovakia, ISSN: 1335-9150, Vol. 31, No. 5, 2012, pp. 1045-1079.

Invited talks

  • Obrenović, N. “JourneyTree – State-of the-Art Customer Analytics Made Simple”, Data Science Conference 5.0 – DSC 5.0 2019, Institute of Contemporary Sciences Belgrade, November 19-20, 2019, Belgrade, Serbia.
  • Obrenović, N. “Railway Disruption Management with Viriato and Algorithm Platform”, International Rail and Mobility Conference – nextRail19, ETH Zurich, September 12-14, 2019, Zurich, Switzerland.

Conference publications and talks

  • Mueller, F., Guerster, M., Schmidt, K., Obrenović, N., Dougui, N., and Bierlaire M. “Holistic cost assessment of innovative vehicle drivetrains and infrastructure measures to reduce emissions in regional railway”, International Scientific Conference on Mobility and Transport – Mobil.TUM 2019, Technical University of Munich, September 11-12, 2019, Munich, Germany. Online proceedings: http://www.mobil-tum.vt.bgu.tum.de/conference-proceedings/.
  • Ataç, S., Obrenović, N., and Bierlaire, M., “A holistic decision making framework for a vehicle sharing system”, Modern Approaches in Data Engineering and Information System Design Workshop 2019, University of Maribor, September 08, 2019, Bled, Slovenia. Proceedings, New Trends in Databases and Information Systems, ISBN 978-3-030-30277-1, pp. 306-314, Springer, Cham, DOI: 10.1007/978-3-030-30278-8_32.
  • Ataç, S., Obrenović, N., and Bierlaire, M. “A new framework for a vehicle sharing system”. Operations Research 2019, Technische Universität Dresden, September 04, 2019, Dresden, Germany. Online book of abstracts: https://www.euro-online.org/conf/admin/tmp/program-gor2019.pdf.
  • Ataç, S., Obrenović, N., and Bierlaire, M. “An optimization framework for a light electric vehicle sharing system”. EURO 2019, June 24, 2019, Dublin, Ireland. Online book of abstracts: https://www.euro-online.org/conf/admin/tmp/program-euro30.pdf.
  • Ataç, S., Obrenović, N., and Bierlaire, M., “An optimization framework for a vehicle sharing system”, Swiss Transport Research Conference – STRC 19, May 15-19, 2019, Monte Verita, Ascona, Switzerland. Online proceedings: http://www.strc.ch/2019.php.
  • Mueller, F., Guerster, M., Schmidt, K., Obrenović, N., and Bierlaire, M. “Model-based economic analysis of electrification in railway - Understanding the impact of track, operations, and uncertainties”, Swiss Transport Research Conference – STRC 19, May 15-19, 2019, Monte Verita, Ascona, Switzerland. Online proceedings: http://www.strc.ch/2019.php.
  • Obrenović, N., Lurkin, V., Bortolomiol, S., and Bierlaire, M., “Model of the Swiss Freight Railway Network Design Problem”, hEART 2018, 7th Symposium of the European Association for Research in Transportation, National Technical University of Athens, September 5-7, 2018, Athens, Greece. Online book of abstracts: http://transp-or.epfl.ch/heart/2018.php.
  • Obrenović, N., Lurkin, V., and Bierlaire, M., “Freight railway network design problem”. Paper presented at 16th Swiss Operations Research Days, Universität Bern, June 12-13, 2018, Bern, Switzerland.
  • Obrenović, N., Lurkin, V., and Bierlaire, M., “Capacity-Oriented Marshaling and Shunting Yards Location Problem”, Odysseus 2018 - 7th International Workshop on Freight Transportation and Logistics, University of Cagliari, June 3-8, 2018, Cagliari, Sardinia, Italy. Online book of abstracts: https://convegni.unica.it/odysseus2018/files/2018/06/BookOfAbstracts2.pdf.
  • Obrenović, N., Vidaković, G., and Luković, I., “The Choice of Metric for Clustering of Electrical Power Distribution Consumers”, 1st International Data Science Conference (IDSC 2017), University of Applied Sciences Salzburg, June 12-13, 2017, Salzburg, Austria. Proceedings, Data Science – Analytics and Applications, ISBN 978-3-658-19286-0, Springer Vieweg, Wiesbaden, DOI 10.1007/978-3-658-19287-7_10.
  • Mirković, D., Luković, I., Obrenović, N., and Rogić, Đ., “A Framework for Comparative Analysis of Data Mining Algorithms”, 5th International Conference on Information Society, Technology and Management (ICIST 2015), Proceedings, pp. 49-54, March 2015, Kopaonik, Serbia.
  • Obrenović, N. and Luković, I., “An Approach to Consolidation of Database Check Constraints”, 4th International Conference on Information Society and Technology (ICIST 2014), Proceedings, pp. 210-215, March 2014, Kopaonik, Serbia.

Knjige

 

Projekti

Research Projects
Network Design for SBB Cargo

  • Location: École polytechnique fédérale de Lausanne, Transport and Mobility Laboratory
  • The project goal was development of an algorithm for the overall design of freight railway network. The algorithm was required to produce a network configuration which minimizes the operating cost.
  • The main research challenges were incorporation of all SBB Cargo needs into one model, while considering the specifics of the railway network and its operation, and creation of the appropriate solution algorithm.
  • Designed and developed the solution algorithm in cooperation with an expert from SBB Cargo.
  • Algorithm tested and delivered successfully to the industrial partner.
  • The resulting algorithm is expected to improve the current SBB Cargo network and its future development.
  • Location: École polytechnique fédérale de Lausanne, Transport and Mobility Laboratory
  • Duration: 2017-2018

TRANS-FORM: Smart transfers through unravelling urban form and travel flow dynamics

  • Executed by TRANS-FORM, a cooperation between universities, industrial partners, public authorities and private operators.
  • The objective of the project was to develop, implement and test a data driven decision making tool that supports smart planning, and proactive and adaptive operations in multi-modal public transport systems. The tool integrates new concepts and methods of behavioral modelling, passenger flow forecasting and network state predictions into real-time operations.
  • TRANS-FORM is funded under the European Commission Horizon 2020 ERA-NET program.
  • Designed and implemented software layer which integrates optimization models of different transportation modes.
  • Location: École polytechnique fédérale de Lausanne, Transport and Mobility Laboratory
  • Duration: 2018-2019

IIS*Case: Intelligent MDSD tool for rapid information system and database prototyping

  • Designed and developed IIS*Case module for transformation of check constraint PIM specifications into executable SQL code.
  • Designed and developed IIS*Case module for database subschema consolidation with respect to check constraints, based on utilization of SMT solvers.
  • Location: Faculty of Technical Sciences, University of Novi Sad
  • Duration: 2010-2015

Industrial Projects
JourneyTree, Evo-Solutions LLC

  • Light-weight tool for customer analytics based on transactional data, designed to be easy integrable into existing client systems – https://www.journeytree.io
  • Functionalities include customer segmentation, churn prediction, revenue expectation, product recommendation, etc.
  • Solution designed and developed in cooperation with Konica Minolta France
  • The project has been funded by DataPitch program, under the European Commission’s Horizon 2020 research and innovation program
  • Duration: 2019 - present

Load Profile Generator, Schneider Electric DMS NS LLC

  • Designed and developed a tool for clustering and classification of energy consumers and generators
  • By creating a scalable algorithm, achieved possibility to process any number of data points, i.e. energy consumers and/or generators. The algorithm was successfully tested on 2.1 Million data points
  • Developed mathematical models, various similarity metrics, as well as data mining algorithms, and implemented in C# from scratch, e.g. Cubic spline, PCA, k-Means++, kNN, Mean Shift Cluster Merge, etc.
  • Tool delivered to Duke Energy (USA), Enel (IT), PECO (USA), DONG Energy (DK), Unison (NZ), Austin Energy (USA), ActewAGL (AUS), etc.
  • Duration: 2013 - 2017

Historical Analytics System, Schneider Electric DMS NS LLC

  • Developed a data warehouse system for Distribution Management System
  • Driven by customers’ requirements, developed data warehouse schema and the ETL process for data warehouse loading
  • The ETL components, i.e. data readers, transformation functions and data writers, developed in C# from scratch
  • Delivered to DONG Energy (Denmark) and SAPN (Australia)
  • Duration: 2015 - 2017

SDLM solution for Project Delivery Division, Schneider Electric DMS NS LLC

  • Designed processes of software development lifecycle in Project Delivery division of Schneider Electric DMS NS
  • Implemented the abovementioned processes on MS Team Foundation Server
  • Customization of MS Team Foundation Server
  • Duration: 2014 - 2015

Data integration of Smart Grid solution components, Telvent DMS LLC

  • Design and development of services and tools for data integration of Distribution Management System with the existing customer’s systems
  • Integration implemented based on IEC’s CIM standard for power distribution system (IEC 61968 & IEC 61970)
  • Solution delivered to Hydro One utility, Ontario, Canada
  • Worked onsite and offsite with clients
  • Successfully finished project go-live phase and delivered solution to the customer
  • Duration: 2011 - 2013

Data integration of Smart Grid solution components, DMS Group and Siemens

  • Developed services and tools for data integration of Siemens Spectrum Power DNA with the existing customer’s systems
  • Integration implemented based on IEC’s CIM standard for electrical power system (IEC 61968 & IEC 61970)
  • Duration: 2008 - 2010

Dodatno