Anil Gündüz

I helped the development of machine learning algorithms to predict gas concentration, I simplified the existing code and run tests for different models using the new data as an intern. At the moment I am writing my master thesis on machine learning algorithms for liquid sensing. I am responsible from the project as a whole, including development of the experimental setup, data collection and machine learning algorithm implementation. I am using Keras as the neural network framework.

I worked as a research intern at Human-Machine Communication chair. I classified hand gestures in videos using transfer learning. I designed the last layers of neural network to be different models of CNNs and RNNs. I compared the performance of models. I used PyTorch as the deep learning platform.

We implemented a PCB which works as a 12 V to 42 V boost converter and I designed the layout using EAGLE. I learned how to design printed circuit boards using the EAGLE software. I implemented a system with Arduino which records the energy production of a power plant in a cloud server every five seconds.

Machine learning - Signal Processing