M.Sc. Theses in General

Master thesis projects are integral part of our research and teaching and due to that we put particular emphasis both on quality of thesis work and provided supervision. Hence, the number of M.Sc. thesis students we are able to admit is highly limited by our supervision powers, especially since the senior staff and particularly professors are supervising and monitoring all he thesis work in the institute. Hence, it is always better to ask possibilities sooner than later in order not to be dissapoined.

If you are interested in to do your M.Sc. thesis in iNETS, you should make an initial contact to the thesis research coordinator (currently Dr. Ljiljana Simic), one of the professors, or in the case there is an thesis advertisement available the person mentioned in the advertisement. 

Do not hesitate the contact us to ask about opportunities or to suggest your own research theme. Our study coordinator can help you on any generic questions. We have normally more topics and projects than listed in this web-page. All theses topics are tailored and adjusted to make the best possible fit with the skills and interests of students. Similarly we normally interview all the suitable thesis candidates. 

Current Highlighted Thesis Topics

Evaluation of 60 GHz Phased Antenna Array Communications

mmW-Systems, 5G, Phased Antenna Arrays, Gigabit-Links
Contact: Shaham Shabani, M.Sc.; Dr. Ljiljana Simic

Performance Evaluation of IEEE802.11ad 60 GHz Wi-Fi

WiFi, 60 GHz, 5G, Wireless Performance
Contact: Andra Voicu, M.Sc.; Dr. Ljiljana Simic

Advanced Spectrum Sensing for IEEE 802.11ac 

WiFi, Spectrum Sensing, Simulations, ns-3, Dense Networks
Contact: Andra Voicu, M.Sc.; Dr. Ljiljana Simic

Finding voids and groups from High Dimensional Data

Data Analytics, Big Data, Clustering, Parallel Processing
Contact: Prof. Petri Mähönen

Deep Learning Star-Galaxy Classifier for Large-Scale Astronomical Surveys

Deep Learning, Data Analytics, Neuromorphic Computing, Big Data, Machine Learning
Contact: Prof. Petri Mähönen

Deep Learning based Blind Signal Classification for SDRs 

WiFi, 60 GHz, 5G, Wireless Performance
Contact: Prof. Petri Mähönen, M.Sc.; Dr. Ljiljana Simic

Modelling Full-Duplex WiFi Networks

WiFi, LTE, 5G, Wireless Coexistence
Contact: Andra Voicu, M.Sc.; Dr. Andrea Munari

Pedestrian Recognition and Trajectory Modelling using Machine Vision and Learning 

Machine Learning, Situation Awareness, mmW Communications, 5G, Cognitive Radio 
Contact: Dr. Ljiljana Simic

Gesture Recognition using Radar Techniques 

HF-Radars, Patter Recognition, Machine Learning, DSP
Contact: Dr. Andrea Munari

Effects of Building Materials of mm-wave Frequency Communications  

Propagation Models and Measurements, 5G, mmW, Future Cellular Communications
Contact: Dr. Ljiljana Simic

Correlated Channel Measurements & Models

Channel State Measurements, Propagation Models Future Cellular Communications
Contact: Prof. Petri Mähönen

Institute for Networked Systems
RWTH Aachen University

Kackertstrasse 9
52072 Aachen

Tel. +49 241 8020900
Fax. +49 241 80 620900