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Embedded Lead - Secure Embedded AI Research at Bosch, Bengaluru (India)
Areas of Interest include - Embedded AI, TinyML, Secure Firmware Update, Secure Boot, Timeseries data & Signal Processing.
Master of Science (INFOTECH - Embedded Systems), University of Stuttgart, Stuttgart (Germany), with focus on AI for Embedded Systems.
Master Thesis: Human Activity Recognition and Study of Dynamic Filter Networks for Position-aware detection (Thesis Presentation)
- Embedded Software Engineer (HMI & Secure Bootloader), Lorch Schweisstechnik, Auenwald (Germany)
- Tutor, Deep Learning - Master Laboratory course, Institute of Signals and System Theory, University of Stuttgart (Germany)
- Working Student - Embedded Prototyping for Automotive ECUs, Robert Bosch GmbH, Schwieberdingen (Germany)
- Senior Software Engineer - Complex Drivers Development - Fuel Injection Software for Automotive ECUs, Robert Bosch, Bengaluru (India)
Connect with me on LinkedIn or Xing. Write to me on yuvaraj.rajulu@gmail.com
Title: Human Activity Recognition and Study of Dynamic Filter Networks for Position-aware detection
- Aim: To build a generic framework for Human activity recognition using smartphone Inertial sensors, use of Dynamic Filter generic networks to build a single activity recognition model for multiple positions
- Building Recurrent Neural Network models for multi-variate time series data.
- Signal pre-processing steps: Design and use of filters for noise and gravitation component removal, data normalization, sensor time-synchronization and sliding window techniques.
- Study of multi-input, multi-output neural network architectures using concepts of Dynamic Filter Networks.
- Libraries used: Tensorflow, Keras, Matplotlib, Scikit, Pandas among others.
- Use of Tensorflow profiling to visualize tasks between CPU and GPU to identify performance bottlenecks.
- Deployment of trained model on an Android smartphone using Tensorflow lite.
Links: Thesis Presentation