Dr. Fares Meghdouri
Deep Learning, Computer Vision, Network Security, Astronomy and Electronics.
Vienna, Austria
Hello there, I am Fares
, and welcome to my small space. I am a deep learning researcher and computer vision software engineer
. I also do astrophotography
in my spare time, build small embedded electronic
projects, and read. I’ve been a researcher at the Technical University of Vienna (TU Wien), where I obtained my PhD and mainly focused on applied machine learning
for cyber security and anomaly detection
in communication networks.
I share my thoughts, publications, hobby projects, and more on this website. Be aware that I only share my own thoughts and opinion, so don’t be offended if you do not share the same opinion. Enjoy!
Wish to discuss/share ideas? contact me at meghfares@hotmail.com.
news
Feb 23, 2024 | You have a PDF and want to know if it contain sensitive infomation and maybe want to blend it? Checkout my latest implementation of such a system on my Github under NER. It also support scanned images! |
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Jan 1, 2024 | New year and a new idea. Checkout the ImageLookup repository on my Github. It’s an implementation of an idea that performs fast image lookup based on similarity. Imagine you have an image or subimage and have a huge database of reference images, use this to find the best match quickly. |
Nov 26, 2023 | Well, I’ve been busy with work for a year… I am glad to announce that I’ve finally obtained my PhD and currently focusing more on machine learning (which is now called AI - a thing that I don’t like but yeah, whatever!). I’ve now added some reporsitories and ideas that I’ve been working on in my free time recently. |
Dec 18, 2022 | I’ve now started implementing YoloV3 in C++. The goal is to get familiar with the language and imporve the FPS from my last python implementation. Currently focusing on inference. Follow my progress here. |
Dec 5, 2022 | I’ve started recently working on a YoloV3 implementation from scratch with pytorch. Check the progress here. Update 09.12.22: the implementation is finished and I am currently workig on imporving the FPS and implementing the training loop. |