Viktor Erdélyi (エルデーイ・ビクトル)

About me

I am a PhD student at the Max Planck Institute for Software Systems (MPI-SWS) in Saarbrücken, Germany. My advisor is Prof. Dr. Peter Druschel. I am working in the area of localization and acoustic sensing on mobile devices.

Contact

Peer-reviewed scientific publications

Sonoloc: Scalable positioning of commodity mobile devices [PDF] Viktor Erdélyi, Trung-Kien Le, Bobby Bhattacharjee, Peter Druschel, Nobutaka Ono MobiSys 2018
EnCore: Private, Context-based Communication for Mobile Social Apps [PDF] [Slides] Paarijaat Aditya, Viktor Erdélyi, Matthew Lentz, Elaine Shi, Peter Druschel, Bobby Bhattacharjee MobiSys 2014
SDDR: Light-Weight, Secure Mobile Encounters [PDF] [Slides] Matthew Lentz, Viktor Erdélyi, Paarijaat Aditya, Elaine Shi, Peter Druschel, Bobby Bhattacharjee USENIX Security 2014

Recent projects

Thesis project (2014-2018)

This project is about scalable positioning of commodity mobile devices using audio signals. I am developing a system that can compute a 2D relative position map of nearby mobile devices (such as smartphones). To compute the position map, the system uses a small number of acoustic signal transmissions emitted by a subset of the participating devices.

Internship at the National Institute of Informatics, Tokyo, Japan (2015)

A research internship under the supervision of Assoc. Prof. Nobutaka Ono. I implemented Nobutaka Ono's Harmonic-Percussive Sound Separation (HPSS) effect as an extension for Audacity (a popular open-source sound processing tool). The purpose of HPSS is to separate a music track into harmonic and percussive components (both of which are considered useful signals). I also implemented an HPSS-based vocal separation effect as a new effect for Audacity. The purpose of this effect is to separate vocal components from non-vocal components in a music track.

EnCore (2011-2014)

EnCore is a privacy-preserving platform for mobile social applications. It leverages rich contextual data available on modern mobile devices to provide social services in a privacy-preserving way.

Personal interests


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