geekoverdose is all about software examples and source snippets around artificial and machine intelligence, data analysis, computer vision, ubiquitous computing, security, and other interesting fields. Posts and examples are written for people somewhat familiar with programming and the corresponding field of science. There are also posts on how to automate your everyday tasks to save yourself some time (mostly for Linux). If you spot typos, mistakes, dead links, or other broken stuff please drop me a short comment. Now feel free to check out some examples yourself!

About me: my name is Rainhard Findling. Currently I’m with the Ambient Intelligence Group at Aalto University, Finland (Department of Communications and Networking, School of Electrical Engineering). Previously I’ve been with the Department of Mobility & Energy at the University of Applied Sciences Upper Austria, Campus Hagenberg, and the Institute of Networks and Security (INS) at the JKU Johannes Kepler University Linz. I’ve received my Dr. techn. (PhD) degree in Computer Science from JKU in 2017, and my MSc and BSc degrees in Mobile Computing from the University of Applied Sciences Upper Austria, in 2013 and 2011. I’m interested in all kinds of up-to-date science and research, specially in fields somehow correlated to artificial and machine intelligence, automation, mobility, and security.

Why do I run this blog? Simply because I once in while try out new stuff and all those small proof-of-concept-programs that pop out as a result are not of use to anyone if they are not opened to the public. Normally I’m working on Linux machines which is why some examples I’m posting may have to be adapted for other operating systems.

OpenPGP key fingerprint
4A1A FD73 6658 F2E7 F2DC 6121 A471 F6FA 5A8C 8834

XMPP/Jabber OTR fingerprints
20A5107F A2715374 A0523348 879942CB D12E116B
5CD378B7 18F17578 E13C3EBA CF996131 3E0E7424


2 thoughts on “About

  1. Hello Rainhard

    I am Vishnu Nandan, PhD Student, Alfred Wegener Institute for Polar and Marine Research, Germany. I am working with Radio Echo Sounding and Radar Remote Sensing for Structural Glaciology. As part of my research, one of my main work packages is to classify the Radio Echo Sounding image, with complex ice features, using Neural Network Classification.

    Could you please advise me on open source tools which could be useful for this. I am pretty new to programming. So I need some time to look into the tool and the data, on how it works.

    Many Thanks Again. Please let me know If I should supply more info on my work.

    Thanks and Regards
    Vishnu Nandan

    1. Hello Vishnu,

      just in short: for prototyping you could use UI tools like Weka (http://www.cs.waikato.ac.nz/ml/weka/). You just need to convert your data to the correct form. If you need to dig deeper you could use Matlab with the Neural Toolbox – or R (RStudio), which is free. For both you need some programming, but they are much more powerful and worth trying.

      Best regards

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