DEEDS

Mohammadreza Mahmudimanesh

Technische Universität Darmstadt

Fachbereich Informatik

Hochschulstr. 10

64289 Darmstadt

Germany

Location: S2|02 E206

Phone: +49-6151-16-3711

Email: reza(a-t)deeds.informatik.tu-darmstadt.de

My LinkedIn Profile

Short Bio

I am currently a PhD assistant at the DEEDS group and a member of the DFG - Deutsche Forschungsgemeinschaft Graduiertenkolleg GRK 1362. I received my M.Sc. from University of Tehran and B.Sc. from Tehran Polytechnic.

Curriculum Vitae

Research Interests

Compressive Sampling / Compressed Sensing
Distributed Spatiotemporal Sampling
Wireless Sensor Networks
Distributed Data Acquisition
Information Theory

Publications

M. Mahmudimanesh, A. Khelil, N. Suri, "Balanced Spatio-Temporal Compressive Sensing for Multi-hop Wireless Sensor Networks", Proceedings of the 9th International Conference on Mobile Ad hoc and Sensor Systems, IEEE MASS 2012, pp. 389 – 397.

M. Mahmudimanesh, A. Khelil, and N. Suri, "Compressive Sensing for Wireless Sensor Networks" in "Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning" by Fei Hu, CRC Press, ISBN 9781439892817, 2012.

M. Mahmudimanesh, A. Khelil, N. Suri, "Spatiotemporal Compressive Sensing for Wireless Sensor Networks", Technical Report TR-TUD-DEEDS-07-03-2011.

M. Mahmudimanesh, A. Khelil, N. Suri, "Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks," IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, pp. 50-57, 2010.

M. Mahmudimanesh, A. Khelil, N. Yazdani "Map-based Compressive Sensing Model for Wireless Sensor Network Architecture, A Starting Point", In the First International Workshop on Wireless Sensor Networks Architectures, Simulation and Programming (WASP'09), Berlin, Germany, April 2009.

Software

l1 minimization solver
General purpose norm-1 minimization solver written in Python: l1min.py
You need to install Python, NumPy/SciPy and CVXOPT ( FFTW enabled) to use this software.
This test program demonstrates a simple application in Compressive Sensing and shows how to use l1min module. You need to install matplotlib to plot diagrams.

Automated TinyOS installer for Linux
Helps you to install tinyos on an RPM-compliant Linux system. It is an automated version of the official TinyOS installation method using RPM's. All the RPM files are exactly the same as listed in the official TinyOS installation method.
Instructions: Download TinyOS-2.1.1 to your computer and extract it in a local folder. Run the script `install.sh' to install TinyOS. You need the root password in order to install TinyOS packages. Follow the on-screen error messagess when a required system module is missing and install the additional packages.
You can uninstall TinyOS by running `uninstall.sh' script.
This package fixes also the following bug automatically:
problem compiling the java based oscilloscope application
migdecocde.pm defect