Viktor Erdélyi

(Katakana: ヴィクトル・エルデーイ)

Viktor Erdélyi received his B.Sc. and M.Sc. degrees in informatics from the Eotvos Lorand University, Hungary in 2009 and 2011, and his doctoral degree (Dr.-Ing.) in informatics from the Max Planck Institute for Software Systems (MPI-SWS), Germany in 2019. Since 2019, he works at the Graduate School of Information Science and Technology at The University of Osaka, currently as a specially appointed lecturer. Since 2025, he is also a cross-appointed research scientist at RIKEN Center for Computational Science. His research focuses on practical, unobtrusive, low-maintenance sensing systems, with recent work including smartphone-based mental health monitoring, IoT-based wellbeing monitoring and insights for older adults, and RF-based wireless sensing. His current interests also include privacy-preserving analytics and real-world scalability. Affiliations: Specially appointed lecturer @ Mobile Computing Laboratory (Yamaguchi Lab), The University of Osaka Cross-appointed research scientist @ Large-Scale Digital Twin Research Team, RIKEN Center for Computational Science Visiting Researcher @ Kyoto Tachibana University Contact: viktor [at] ist [dot] osaka-u [dot] ac [dot] jp

Scientific publications

Conference Papers

Journal Papers

Workshop Papers

Poster Papers

Work-in-Progress Papers

Technical Report Papers

Short Papers

Demo Papers

Newsletter Papers

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/.

Research projects overview

So far, I worked on several research projects. I worked on smartphone-based mental health monitoring systems (deployed with 58 university students), detecting early signs of social withdrawal and internet addiction. The methods used in this project are now being implemented as a university-wide student support app (NEMUMIRU) at the University of Osaka. Related to this project, we filed a patent for smartphone sensing technology supporting student wellbeing. I also worked on building IoT-based home sensing infrastructure for elderly loneliness monitoring (33 elderly participants, Japan-US collaboration with the University of Pennsylvania). In the same project, I am also involved in the development of a chatbot-based loneliness intervention system for older adults. In this project, we are currently considering ways to enable larger scale adoption by working with older adult communities. Other projects include designing and developing RF-based sensing systems using backscatter tags, WiFi CSI, and microwave signals for a variety of applications such as wearable-free activity recognition, drone propeller speed measurement, and in-vehicle child presence detection (collaboration with Denso). Recently, I started a new project that uses HPC (supercomputing) facilities to enable large-scale, privacy-preserving data collection and analytics for distributed healthcare monitoring systems.