Posts by Collection

events

SpliTech Invited Talk

Published:

I’ll be giving an invited talk on the Tandemlaunch model at SpliTech this summer, appropriatelly titled: “Bridging the Gap Between Academia and Industry: The Tandemlaunch Deep Tech Startup Foundry Model”.

BMVC VAIE Workshop

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With Prof. Nicu Sebe and Prof. Graham Taylor I am organizing a BMVC workshop on Visual AI and Entrepreneurship, trying to span the gap between academia and entrepreneurship communities. If you would like to get involved in the Technical Program Committee and you have the appropriate background, please send me an e-mail.

projects

QoSTREAM

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An FP7 Marie-Curie IRSES project I coordinated.

xLiMe

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The FP7 project I worked on while at Trento.

SENSIBLE

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H2020 Rise focusing on smart buildings.

research

Motion Saliency

Published:

A lightweight approach to motion saliency.

teaching

Theses Supervision

Theses, University of Novi Sad, Faculty of Technical Sciences, 2019

My Faculty of Technical Sciences teachers’ portal shows that I’ve supervised 9 Bechelor and 9 Master Theses since we transitioned to the Bologna process. In addition to that, there has been a few “old” students that I have supervised over the years. All in all, I seem to have been a member of 51 thesis defence committees over the years. While I always consider it a priviledge when students select me to supervise their thesis work, as well as when colleagues invite me to take part in the committee, of particular note are the PhD students that I’ve mentored over the years. These are listed below.

University Teaching

Undergraduate, Graduate and PhD, University of Novi Sad, Faculty of Technical Sciences, 2019

Over the last 2 decades, I’ve taught and created numerous courses at the Faculty of Technical Sciences, as I progressed from a TA to Full Professor. I’ve also served as a TA and an instructor at the Florida Atlantic University, during my PhD studies.

NVIDIA DLI

Workshop, University X, Department Y, 2019

The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI and accelerated computing to solve real-world problems. Through self-paced online and instructor-led training powered by GPUs in the cloud, developers, data scientists, researchers, and students can get practical experience and earn a certificate of competency to support professional growth.