Short Biography

I joined EPFL as a fellowship PhD student in Computer and Communication Sciences in September 2011. Since March 2012 I was supervised by Prof. Alcherio Martinoli at DISAL. I received my PhD degree in 2017.
I received my BSc and MSc degrees in electrical and computer engineering from the University in Novi Sad in 2010 and 2011, respectively.

Research Interests and Projects

My research interests include AI, autonomous vehicles, multi-robot systems, and machine perception. My PhD thesis is focused on networked intelligent vehicles, with emphasis on cooperative perception, object tracking and sensor fusion algorithms. My research was supported by Groupe PSA.

For more information see dedicated pages of projects I took part in:

Networked Intelligent Vehicles: Cooperative perception algorithms

RO2IVSim: A Flexible and Faithful Simulator for Bridging the Gap between Mobile Robots and Intelligent Vehicles

AutoNet2030: Distributed control for convoys of heterogeneous vehicles

Teaching

Signals, Instruments and Systems, EPFL, Spring 2016

Distributed Intelligent Systems, EPFL, Fall 2015

Distributed Intelligent Systems, EPFL, Fall 2014

Signals, Instruments and Systems, EPFL, Spring 2014

Distributed Intelligent Systems, EPFL, Fall 2013

Signals, Instruments and Systems, EPFL, Spring 2013

Linear Algebra, EPFL, Fall 2012

Calculus 2, EPFL, Spring 2012

Real-time System Software, University of Novi Sad, Spring 2011

Publications

2024

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

E. Salimbeni; F. Craighero; R. Khasanova; M. Vasic; P. Vandergheynst

2024. 7th Deep Learning Security and Privacy Workshop, San Francisco, CA, May 23, 2024.

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2017

Cooperative Perception Algorithms for Networked Intelligent Vehicles

M. Vasic / A. Martinoli (Dir.)

Lausanne, EPFL, 2017.

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Challenges for Automated Cooperative Driving: The AutoNet2030 Approach

M. Obst; A. Marjovi; M. Vasic; I. Navarro Oiza; A. Martinoli et al.

Automated Driving; Switzerland: Springer International Publishing, 2017. p. 561-570.

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2016

Cooperative Multiple Dynamic Object Tracking on Moving Vehicles Based on Sequential Monte Carlo Probability Hypothesis Density Filter

J. Gan; M. Vasic; A. Martinoli

2016. IEEE International Conference on Intelligent Transportation Systems, Rio de Janeiro, Brazil, November 2016. p. 2163-2170. DOI : 10.1109/ITSC.2016.7795906.

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Distributed Graph-Based Control of Convoys of Heterogeneous Vehicles using Curvilinear Road Coordinates

I. Navarro; F. Zimmermann; M. Vasic; A. Martinoli

2016. 2016 IEEE Intelligent Transportation Systems Conference, Rio de Janeiro, Brazil, November 1-4, 2016. p. 879-886. DOI : 10.1109/ITSC.2016.7795659.

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A System Implementation and Evaluation of a Cooperative Fusion and Tracking Algorithm based on a Gaussian Mixture PHD Filter

M. Vasic; D. Mansolino; A. Martinoli

2016. IEEE/RSJ International Conference on Intelligent Robots and Systems, Korea, October, 2016. p. 4172-4179. DOI : 10.1109/IROS.2016.7759614.

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An Overtaking Decision Algorithm for Networked Intelligent Vehicles Based on Cooperative Perception

M. Vasic; G. Lederrey; I. Navarro; A. Martinoli

2016. IEEE Intelligent Vehicles Symposium, Gothenburg, Sweden, June 19-22, 2016. p. 1054-1059. DOI : 10.1109/IVS.2016.7535519.

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2015

A Collaborative Sensor Fusion Algorithm for Multi-Object Tracking Using a Gaussian Mixture Probability Hypothesis Density Filter

M. Vasic; A. Martinoli

2015. IEEE International Conference on Intelligent Transportation Systems, Las Palmas de Gran Canaria, Spain, September 2015. p. 491-498. DOI : 10.1109/ITSC.2015.87.

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