Jelena Trisovic

Ph.D. Student

ETH AI Center

Biography

I am a Ph.D. student at the ETH AI Center, supervised by Prof. Dr. Melanie Zeilinger and Prof. Dr. Fisher Yu. I obtained my M.Sc. in Electrical Engineering and Information Technology from ETH Zürich and my B.Sc. in Electrical Engineering and Computing from the University of Belgrade.

You can find my resumé here.

Interests

System Control
Signal Processing
Machine Perception

Education

M.Sc. in Electrical Engineering and Information Technology, January 2021

ETH Zürich
B.Sc. in Electrical Engineering and Computing, July 2018

University of Belgrade, School of Electrical Engineering

Experience

Student Teaching Assistant

Automatic Control Laboratory, ETH Zürich

Sep 2019 – Jan 2020 Zurich, Switzerland

Helped with grading student projects and homeworks for Linear System Theory Course.

Undergraduate Teaching Assistant

University of Belgrade, School of Electrical Engineering

Sep 2015 – Jul 2018 Belgrade, Serbia

Helped with grading student projects and homeworks, as well as with conducting of the Laboratory exercises for the following courses: System Control 1, System Control 2, Nonlinear System Control 1, Systems and Signals, Fundamentals of Electrical Engineering - Laboratory Exercises.

Research in Industrial Projects for Students

Institute for Pure and Applied Mathematics, University of California Los Angeles

Jun 2016 – Aug 2016 Los Angeles, California

Performed research on automatic conflict detection in audio recordings produced by police body-worn cameras.The novel method was developed by combining adaptive noise removal, machine learning based speechsegmentation and the measures of conflict based on the repetition and the intensity of phrases in speech.

Summer Internship

University of Belgrade, School of Electrical Engineering

Jun 2016 – Jul 2016 Belgrade, Serbia

Developed an application that uses the output signal of the motor encoder to determine the rotation speed ofthe motor and to display its spectrum in real time; CompactRIO device was used for the signal acquisition andprocessing; the FPGA chip of the device was programmed using LabVIEW.