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Rainhard Findling is a postdoctoral researcher at Aalto University in the Ambient Intelligence Group, Department of Communications and Networking (COMNET), at the School of Electrical Engineering (ELEC). Previously he has been with the Institute of Networks and Security (INS) at the Johannes Kepler University Linz (JKU), Austria, from which he received his Dr. techn. degree in Computer Science in 2017, and with the Department of Mobile Computing at the University of Applied Sciences Upper Austria, Campus Hagenberg, from which he received his MSc and BSc degrees in Engineering in 2013 and 2011. Rainhard is interested in using data analysis/machine learning and signal processing with mobile sensor data to achieve unobtrusive mobile security and authentication. For example, in the past, he has investigated protecting biometrics used with authentication techniques on mobile devices with smart cards, transferring authentication states between mobile devices based on mobile sensor data from shared device motion, as well as on mobile devices communicating back authentication information to their users.
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Recent talks

09.2017  Mobile Networking, Analytics and Edge Computing Workshop, Munich
07.2017  Eurecom, BMW summer school, Munich
04.2017  Inaugural lecture, TU Braunschweig
03.2017 Habilitation defense, TU Braunschweig
03.2017 Keynote, Siremti Workshop, NetSys 2017
02.2017 Invited Talk, CiNet Osaka University
02.2017 Invited Talk, National Institute of Informatics, Tokyo
08.2016 Presentation, GI-Dagstuhl seminar 16353 (Aware Machine to Machine Communication)
07.2016 Invited Talk, Helsinki-HKUST-Tsinghua Workshop on Mobile Services and Edge Computing, Helsinki, Finland
07.2016 Invited Talk, Hong-Kong Polytechnic University
06.2016 Invited Talk, Peking University, China
06.2016 Invited Talk, Kyushu Institute of Technology
06.2016 Invited Talk, National Institute of Informatics, Tokyo
10.2015 Presentation, DFG/JSPS joint research seminar, Karuizawa
09.2015 Invited Talk, Shonan Meeting (Challenges for real-time human activity recognition)
09.2015 Invited Talk, Workshop on Collective adaptation in very large scale, Ubicomp 2015
09.2015 Invited Talk, National Institute of Informatics, Tokyo
07.2015 Invited Talk, Helsinki University
04.2015 Invited Talk, Bochum University
03.2015 Presentation, PerCom 2015
03.2015 Invited Talk, Aalto University
01.2015 Presentation, Open University Goettingen
12.2014 Invited Talk, JKU Linz
05.2013 Presentation, ETH Zurich
02.2013 Invited Talk, WWU Muenster
01.2013 Invited Talk, Osaka Prefecture University
12.2012 Invited Talk, Dagstuhl seminar 12492 on Human Activity Recognition
07.2012 Invited Talk, Open University, Milton Keynes
01.2011 Presentation, Informatik Kolloquium, TU Braunschweig
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Rainhard Findling

Rainhard Findling

  • Aalto University
  • Maarintie 8
  • 00076 Espoo
  • Finland
  • +358 (0)50-511-1536
  • rainhard.findling@aalto.fi

Rainhard's research interests focus on usable mobile security and authentication related to mobile sensor signal processing and data analysis/machine learning. For example, in the past he has considered problems related to mobile biometric authentication with smart cards, transferring authentication states between mobile devices based on motion sensor data, as well as mobile devices communicating authentication information back to their users.

Publications

other: Google Scholar, Google Scholar Profile, Research Gate, DBLP
  2019 (6)
With whom are you talking? Privacy in Speech Interfaces. Backstrom, T.; Das, S.; Zarazaga, P. P.; Sigg, S.; Findling, R.; and Laakasuo, M. In Proceedings of the 4th annual conference of the MyData Global network (MyData 2019), Helsinki, Finland, September 2019. in print
bibtex   abstract
On the use of stray wireless signals for sensing: a look beyond 5G for the next generation industry. Savazzi, S.; Sigg, S.; Vicentini, F.; Kianoush, S.; and Findling, R. IEEE Computer, SI on on Transformative Computing and Communication, 52(7): 25-36. 2019.
doi   bibtex   abstract
CORMORANT: Ubiquitous Risk-Aware Multi-Modal Biometric Authentication Across Mobile Devices. Hintze, D.; Füller, M.; Scholz, S.; Findling, R.; Muaaz, M.; Kapfer, P.; and Mayrhofer, E. K. R. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). September 2019.
doi   bibtex   abstract
Closed-Eye Gaze Gestures: Detection and Recognition of Closed-Eye Movements with Cameras in Smart Glasses. Findling, R. D.; Nguyen, L. N.; and Sigg, S. In International Work-Conference on Artificial Neural Networks, 2019.
Closed-Eye Gaze Gestures: Detection and Recognition of Closed-Eye Movements with Cameras in Smart Glasses [pdf] paper   doi   bibtex   abstract
Workout Type Recognition and Repetition Counting with CNNs from 3D Acceleration Sensed on the Chest. Skawinski, K.; Roca, F. M.; Findling, R. D.; and Sigg, S. In International Work-Conference on Artificial Neural Networks, volume 11506, of LNCS, pages 347–359, June 2019.
Workout Type Recognition and Repetition Counting with CNNs from 3D Acceleration Sensed on the Chest [pdf] paper   doi   bibtex   abstract
Mobile Brainwaves: On the Interchangeability of Simple Authentication Tasks with Low-Cost, Single-Electrode EEG Devices. Haukipuro, E.; Kolehmainen, V.; Myllarinen, J.; Remander, S.; Salo, J. T.; Takko, T.; Nguyen, L. N.; Sigg, S.; and Findling, R. IEICE Transactions, Special issue on Sensing, Wireless Networking, Data Collection, Analysis and Processing Technologies for Ambient Intelligence with Internet of Things. 2019.
Mobile Brainwaves: On the Interchangeability of Simple Authentication Tasks with Low-Cost, Single-Electrode EEG Devices [pdf] paper   doi   bibtex   abstract
  2018 (1)
Mobile Match-on-Card Authentication Using Offline-Simplified Models with Gait and Face Biometrics. Findling, R.; Hölzl, M.; and Mayrhofer, R. IEEE Transactions on Mobile Computing (TMC), 14(11): 2578-2590. 2018.
Mobile Match-on-Card Authentication Using Offline-Simplified Models with Gait and Face Biometrics [pdf] paper   doi   bibtex   abstract
  2017 (1)
A Large-Scale, Long-Term Analysis of Mobile Device Usage Characteristics. Hintze, D.; Hintze, P.; Findling, R. D; and Mayrhofer, R. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(2): 13. 2017.
A Large-Scale, Long-Term Analysis of Mobile Device Usage Characteristics [pdf] paper   doi   bibtex   abstract

Maarintie 8, 00076 Espoo; +358 (0)50 4666941; ambience-elec@aalto.fi