Tobias Feigl received his Master degree in Computer Science at the University of Applied Sciences Erlangen-Nuremberg, Germany, in 2017. He joined the Machine Learning & Information Fusion lab at the largest organization for applied research and development services in Europe, Germany, in 2017. In parallel, he is a research assistant at the FAU, Germany, where he gives courses on machine learning and works on his Dr.-Ing. degree. His research interests are on signal processing, human computer interaction, localization, and model- and data-driven hybrid filter techniques.


curriculum vitae

2020

  • Ph.D. candidate in Computer Science: Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Germany;
    • Project: RuNN – Recurrent Neuronal Networks (RNNs) for Real-Time Estimation of Nonlinear Motion Models;
    • Dissertation: “Data-driven methods for determining position and orientation in radio- and inertial-based dead reckoning systems”;
      Supervisor: Prof. Dr. Michael Philippsen;
  • Scientific achievements: 
    • 2020: Nominated for the Schmidt Science Fellows 2021 (post-doctoral fellowship);
    • 2019: Pioneering research in the field of position and orientation tracking for virtual reality systems in connection with machine learning, FAU award;
  • Teaching 2016 – 2021:
    • SEMML-I: Machine Learning – Introduction (Bachelor course, 5 ECTS);
    • SEMML-II: Machine Learning – Advances (Master course, 5 ECTS);
    • Machine Learning  (Bachelor/Master course, 2.5/5 ECTS).

2017

  • M.Sc. in Computer Science: University of Applied Science (TH) Erlangen-Nürnberg, Germany;
    • Dissertation w. distinction (best of year | Grade: 1.0): “Immersion-optimized sensor fusion for low-cost real- time locating systems in Virtual Reality applications”;
    • Courseworks: Signal-processing, machine learning, virtual reality, indoor-localization.

 

publications

Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models [TSP 2020]
Feigl T., Kram S., Eberlein E., Mutschler C.

ToA-Estimation using Neural Networks on Synthetic Randomized Channel Models [patent 2020]
Feigl T., Eberlein E., Mutschler C., Kram S

Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor [ISMAR 2020]
Feigl T., Gruner L., Mutschler C., and Roth D.

A Sense of Quality for Augmented Reality Assisted Process Guidance [ISMAR 2020]
Redzepagic A., Löffler C., Feigl T., Mutschler C.

RNN-aided Human Velocity Estimation from a Single IMU [Sensors 2020]
Feigl T., Kram S., Woller P., Siddiqui RH., Philippsen M., Mutschler C.

ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization [CVPR 2020]
Ott F., Feigl T., Löffler C., Mutschler C.

Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-Scale Industry Environments [GRAPP 2020]
Feigl T., Porada A., Steiner S., Löffler C., Mutschler C., Philippsen M.

Reporting Correlation Information [patent 2019]
Alawieh M., Eberlein E., Feigl T., v. d. Grün T.

Visual-Odometry-aided Pose Regression for 6DoF Camera Localization [arxiv/cs.CV 2019]
Ott F., Feigl T., Löffler C., Mutschler C.

UWB Channel Impulse Responses for Positioning in Complex Environments: A Detailed Feature Analysis [Sensors 2019]
Kram S., Stahlke M., Feigl T., Seitz J., Thielecke J.

A Bidirectional LSTM for Estimating Dynamic Human Velocities from a Single IMU [IPIN 2019]
Feigl T., Kram S., Woller P., Siddiqui R. H., Philippsen M., Mutschler C.

A Framework for Location-Based VR Applications [GI VR/AR 2019]
Lugrin J. L., Kern F., Kleinbeck C., Roth D., Daxer C., Feigl T., Mutschler C., Latoschik M. E.

Sick Moves! Motion Parameters as Indicators of Simulator Sickness [TVCG 2019]
Feigl T., Roth D., Gradl S., Wirth M., Latoschik M. E., Eskofier B., Philippsen M., Mutschler C.

Brain 2 Communicate: EEG-based Affect Recognition to Augment Virtual Social Interactions [GI VR/AR 2019]
Roth D., Westermeier F., Brübach L., Feigl T., Schell C., Latoschik M. E.

A Social Interaction Interface Supporting Affective Augmentation Based on Neuronal Data [SUI 2019]
Roth D., Brübach L., Westermeier F., Schell C., Feigl T., Latoschik M. E.

Recurrent Neural Networks on Drifting Time-of-Flight Measurements [IPIN 2018]
Feigl T., Nowak T., Philippsen M., Edelhäußer T., Mutschler C.

Supervised Learning for Yaw Orientation Estimation [IPIN 2018]
Feigl T., Mutschler C., Philippsen M.

Method for predicting a motion of an object, method for calibrating a motion model, method for deriving a predefined quantity and method for generating a virtual reality view [patent 2018]
Mutschler C., Kram S., Nickel C., Feigl T., Seitz J.

Head-to-Body-Pose Classification in No-Pose VR Tracking Systems [IEEE VR 2018]
Feigl T., Mutschler C., Philippsen M.

Beyond Replication: Augmenting Social Behaviors in Multi-User Social Virtual Realities [IEEE VR 2018]
Roth D., Kleinbeck C., Feigl T., Mutschler C., Latoschik M. E.

Human Compensation Strategies for Orientation Drifts [IEEE VR 2018]
Feigl T., Mutschler C., Philippsen M.

A Location-Based VR Museum [VS Games 2018]
Lugrin J. L., Kern F., Schmidt R., Kleinbeck C., Roth D., Daxer C., Feigl T., Mutschler C., Latoschik M. E.

Apparatuses and Methods for Correcting Orientation Information from one or more Inertial Sensors [patent 2017]
Feigl T., Mutschler C.

Acoustical manipulation for redirected walking [VRST 2017]
Feigl T., Kõre E., Mutschler C., Philippsen M.

Method to determine a present position of an object, positioning system, tracker and computer program [patent 2017]
Otto S., Feigl T., Daxer C., Bruckmann A., Löffler C., Mutschler C., Faßbinder M.

Social Augmentations in Multi-User Virtual Reality: A Virtual Museum Experience [ISMAR 2017]
Roth D., Kleinbeck C., Feigl T., Mutschler C., Latoschik M. E.

Method for predicting a motion of an object, method for calibrating a motion model, method for de- riving a predefined quantity and method for generating a virtual reality view [patent 2017]
Feigl T., Mutschler C.

Method for setting a viewing direction in a representation of a virtual reality [patent 2016]
Mutschler C., Feigl T., Daxer C., Otto S., Bercea C.


scientific talks

2020

  • Symp. on Mixed and Augmented Reality (ISMAR), Pernambuco, Brasil: ”Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor”;
  • Symp. on Mixed and Augmented Reality (ISMAR), Pernambuco, Brasil: ”A Sense of Quality for Augmented Reality Assisted Process Guidance”;
  • Intl. Conf. on Computer Graphics Theory and Applications (GRAPP), Valletta, Malta: ”Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-Scale Industry Environments”.

2019

  • Symp. on Big Data Allianz (BDA), Stuttgart, Germany: ”Machine learning for positioning”;
  • Intl. Symp. on Mixed and Augmented Reality (ISMAR),Beijing,China:”Sick Moves! Motion Parameters as Indicators of Simulator Sickness”;
  • Lovelace Center for Analytics, Data and Applications (ADA), Nürnberg, Germany: ”Challenges of data-driven Localization”;
  • Intl. Conf. on Indoor Positioning and Indoor Navigation (IPIN), Pisa, Italy: ”A Bidirectional LSTM for Estimating Dynamic Human Velocities from a Single IMU”;
  • Intl. Symp. on Horizon 2020 (ICT-52), Valencia, Spain: ”Generative models for the detection of destructive radio environments”.

2018

  • Intl. Conf. on Virtual Reality and 3D User Interfaces (IEEEVR), Tuebin- gen/Reutlingen, Germany: ”Human Compensation Strategies for Orientation Drifts”;
  • Intl. Conf. on Virtual Reality and 3D User Interfaces (IEEEVR), Tuebingen/Reutlingen, Germany: ”Head-to-Body-Pose Classification in No-Pose VR Tracking Systems”;
  • Intl. Conf. on Indoor Positioning and Indoor Navigation (IPIN),Nantes,France:”Recurrent Neural Networks on Drifting Time-of-Flight Measurements”;
  • Intl. Conf. on Indoor Positioning and Indoor Navigation (IPIN), Nantes, France:”Supervised Learning for Yaw Orientation Estimation”;
  • Workshop on Machine Learning, Ankara, Turkey: ”Machine learning methods for human-centered multi sensory localization”.

2017

  • Eingebettete Systeme für Sport, Fitness und Gesundheit (ESI), Nürnberg, Germany: ”Hacking human sensors – Augmented Reality, Mixed Reality, Virtual Reality optimized visualization”;
  • Intl. Symp. on Virtual Reality Software and Technology (VRST), Gothenburg, Sweden: ”Acoustical manipulation for redirected walking”.

teaching

2020

  • Machine Learning – Introduction (WS2020/21) Bachelor (SemML-I) [5 ECTS]
    Feigl T., Löffler C.
  • Machine Learning – Advances (WS2020/21) Master (SemML-II) [5 ECTS]
    Feigl T., Löffler C.

2019

  • Machine Learning 2.5 (WS2019/20) Bachelor (SemML-I) [2.5 ECTS]
    Feigl T., Löffler C., Mutschler C.
  • Machine Learning 5 (WS2019/20) Master (SemML-II) [5 ECTS]
    Feigl T., Löffler C., Mutschler C.

2018

  • Machine Learning 2.5 (WS2018/19) Bachelor (SemML-I) [2.5 ECTS]
    Witt. N., Feigl T., Mutschler C.
  • Machine Learning 5 (WS2018/19) Master (SemML-II) [5 ECTS]
    Witt. N., Feigl T., Mutschler C.

2017

  • Machine Learning 2.5 (WS2017/18) Bachelor (SemML-I) [2.5 ECTS]
    Mutschler C., Witt. N., Feigl T.
  • Machine Learning 5 (WS2017/18) Master (SemML-II) [5 ECTS]
    Mutschler C., Witt. N., Feigl T.

(double blind peer) review activities

2020

  • Intl. Symp. on Mixed and Augmented Reality (ISMAR);
  • Springer Journal on Virtual Reality (VIRE);
  • IEEE Sensors Journal (IEEE);
  • Intl. Conf. on Virtual Reality and 3D User Interface (IEEEVR);
  • Intl. Conf. on Artificial Intelligence (AAAI);
  • IEEE Transactionson Signal Processing (IEEE TSP);
  • MDPI Sensors Journal (MDPI);
  • Conf. on Neural Information Processing Systems (NIPS).

2019

  • Intl. Conf. on Indoor Positioning and Indoor Navigation (IPIN);
  • Intl.Conf.ofHuman-ComputerInteraction (CHI);
  • European Conf. on Artificial Intelligence (ECAI);
  • Intl. Conf. on Virtual Reality and 3D User Interface (IEEEVR);

2018

  • Intl. Conf. on Indoor Positioning and Indoor Navigation (IPIN);
  • Virtual Reality Software and Technology (VRST);
  • Intl. Symp. on Mixed and Augmented Reality (ISMAR);

2017

  • Intl. Conf. on Indoor Positioning and Indoor Navigation (IPIN);
  • Special Interest Group on Graphics and Interactive Techniques (SIGGRAPH);
  • Intl. Conf. on Virtual Reality and 3D User Interface (IEEEVR);

misc

softcam monitor (c++, obj-c, cocoa, uikit, Mac OS)
syncbox (c++, obj-c, c#, qt, Mac OS)
eyetvcamd (c++, obj-c, cocoa, uikit, Mac OS)
idirstat (c++, obj-c, qt Mac OS)
oscam (c++, Mac OS)
nicehash (c++, Mac OS)
imakeconfiles (c++, obj-c, python, qt, pyqt, Mac OS)
gpstrackr (obj-c, cocoa, uikitiOS)
showandhide (obj-c, Mac OS)
airdrop activator (obj-c, Mac OS)
vpn auto connect (c++, Mac OS, Win)
smartcardlib (c++, Arduino)
reverserflib (c++, Arduino)

passion for reverse engineering.