Build accurate and robust deep neural network models to predict human mobility while evaluating its performance against well established statistical models (i.e., Markov models). Using human mobility traces already collected, study how prediction is affected by various aspects of users' mobility as well as network traffic.
- Good knowledge of DNN's and their applications
- Experience with python
- Engaged and motivated student
Good to have
- Experience with modeling stochastic processes
- Experience with writing scientific text for scientific articles
If you're interested, please email me your CV and university transcripts.
Leonardo Tonetto: tonetto at in tum de