Viktor Erdélyi

(Katakana: ヴィクトル エルデーイ)

Specially appointed assistant professor, Mobile Computing Laboratory (Yamaguchi Lab), Graduate School of Information Science and Technology, Osaka University, Japan

Contact: viktor [at] ist [dot] osaka-u [dot] ac [dot] jp

Introduction

Photo of Viktor

Viktor Erdélyi received his BSc and MSc degrees in informatics from the Eotvos Lorand University, Hungary, and, in 2019, he received his doctoral degree (Dr.-Ing.) in informatics from the Max Planck Institute for Software Systems (MPI-SWS), Germany. Since 2019, he has been a specially appointed assistant professor at Mobile Computing Laboratory (Yamaguchi Lab) at the Graduate School of Information Science and Technology in Osaka University, Japan.

Previously, he worked on research projects related to security and privacy, mobile computing, acoustic signal processing and localization, and he published his research results in top international conferences such as ACM MobiSys and USENIX Security.

He is currently working on the following research topics:

  • Smartphone-based detection of acute social withdrawal ("hikikomori") in Japanese university students
  • Maintenance-free, passive sensing solutions for detecting pandemic-induced social isolation for elderly people in the US and Japan
  • Human activity recognition using Wi-Fi CSI backscatter
  • Localization of GHz-band backscatter tags
  • Tag-free object recognition using microwave signals

Peer-reviewed scientific publications

Paper title Access Authors Venue
Criteria for detection of possible risk factors for mental health problems in undergraduate university students [Frontiers in Psychiatry] Daiki Ishimaru, Hiroyoshi Adachi, Teruhiro Mizumoto, Viktor Erdelyi, Hajime Nagahara, Shizuka Shirai, Haruo Takemura, Noriko Takemura, Mehrasa Alizadeh, Teruo Higashino, Yasushi Yagi, Manabu Ikeda Frontiers in Psychiatry, section Public Mental Health, 2023
iCareLoop: Closed-Loop Sensing and Intervention for Gerontological Social Isolation and Loneliness [WIP paper] [ACM Digital Library] Xiayan Ji, Ahhyun Yuh, Hyonyoung Choi, Amanda Watson, Claire Kendell, Xian Li, James Weimer, Hajime Nagahara, Teruo Higashino, Teruhiro Mizumoto, Viktor Erdélyi, George Demiris, Oleg Sokolsky, Insup Lee ICCPS 2023 WIP session
Short: Integrated Sensing Platform for Detecting Social Isolation and Loneliness In the Elderly Community [short paper] Xiayan Ji, Xian Li, Ahhyun Yuh, Claire Kendell, Amanda Watson, James Weimer, Hajime Nagahara, Teruo Higashino, Teruhiro Mizumoto, Viktor Erdélyi, George Demiris, Oleg Sokolsky, Insup Lee IEEE/ACM CHASE 2023
Towards Activity Recognition Using Wi-Fi CSI from Backscatter Tags [WIP paper] Viktor Erdelyi, Kazuki Miyao, Akira Uchiyama, Tomoki Murakami PerCom 2023 WIP session
Learn to See: A Microwave-based Object Recognition System Using Learning Techniques [workshop paper] [ACM open access] [Slides] Viktor Erdélyi, Hamada Rizk, Hirozumi Yamaguchi and Teruo Higashino MFSens 2021 (First International Workshop on Maintenance-Free Context Sensing) in conjunction with ICDCN 2021
Sonoloc: Scalable positioning of commodity mobile devices [PDF] [Slides] (See below for source code) 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

Discussion series about the possibility of conscious computers

I had the honor to have some deep-dive discussions with Tom Campbell, physicist and author of the My Big TOE (MBT) trilogy. In this series, we discuss the concept of consciousness in the context of computers, how he views the possibility of conscious computers from the perspective of his MBT theory, how we could use recent advances in AI technology (such as deep learning, reinforcement learning, large language models) to build a conscious computer, and some speculations about what role conscious computers could play in a future society.

His webpage can be found at https://www.my-big-toe.com/ and http://www.tomcampbell.info/.

Previous projects

Sonoloc (PhD thesis project, 2014-2018)

This project is about scalable positioning of commodity mobile devices using audio signals. I developed 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.

Source code

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.