Master and Bachelor Thesis: I have topics in information theory, compressed sensing, deep learning, machine learning, localization and heterogeneous networks. If you are interested do not hesitate to contact me.
Check out our lecture on Fundamentals of Big Data Analytics.
Compressed Sensing in Information Processing (CoSIP) is a priority program (SPP) established by the DFG. First CoSIP colloquium took place in Aachen, Germany, on July 4 and 5, 2016.
We have organized a one-day workshop "Data Science: Theory and Applications" to gather experts from a variety of disciplines to present their work related to this topic. The program and the presentations are available here.
Check out my Github.
Arya Bangun, Arash Behboodi and Rudolf Mathar, Coherence Bounds for Sensing Matrices in Spherical Harmonics Expansion, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, 15–20 April 2018, Calgary, Alberta, Canada, ICASSP, 2018
Linchen Xiao, Arash Behboodi, Rudolf Mathar, A deep learning approach to Fingerprinting Indoor Localization, International Telecommunication Networks and Applications conference, 22-24 November, 2017, Melbourne, Australia
Arash Behboodi, Filip Lemic, Adam Wolisz, Rudolf Mathar, “Interference Effect on the Performance of Fingerprinting Localization”, International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017), Japan, September 2017
Arash Behboodi and Gholamreza Alirezaei and Rudolf Mathar, “On the Discreteness of Capacity-Achieving Distributions for the Censored Channel”, 2017 IEEE International Symposium on Information Theory (ISIT), Aachen, July 2017