I am a system architect at Ericsson ltd., and the acting CTO of IT-MEDicine Ltd. I was graduated as a medical doctor in 2005 at Medical University of Targu Mures. My main research interests are artificial and biological neuronal networks, and intelligence in general. Myers-Briggs personality type: ENTP-A, but I would argue against labeling me as a debater.
I'm satisfied with my current roles, and not open to a job opportunity unless it is about general AI.
Publications:
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Prediction of general mental ability based on neural oscillation measures of sleep2005 In Journal of Sleep Research, 2005 Sep;14(3):285-92. My role: quantitative EEG analysis: matlab, dadisp. |
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Baroreceptor sensitivity assessed with the finger pulse wave alpha index, light reflection rheography and ambulatory blood pressure monitoring at two minutes2004 Rom J Intern Med., 2004;42(1):137-42. I was building a hardware, and a software analysing measurements. They've misspelled my name in the publication. They really did. |
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A computational model of the visual systemThesis, 2003-2005 A feature-pair based stochastic self-organizing network for object detection and recognition. Translation and light-exposure invariant totally, partially invariant for noise and distortion. I doubt it is available publicly, and neither I have the final version. But I have the code, and I plan to reimplement it in pytorch one day. |
Projects:
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zax-json-parser2020 - PRESENT JSON parser providing a kind of a 'struct to JSON' and 'JSON to struct' conversion. As JSON and C++ structs are totally different constructs, this is a best-effort approach. Though, it could be useful. C++ black magic. |
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zax-tensor2020 - PRESENT Tensor library in C++. It allows direct access to its underlying data buffer, and serializes in JSON. Built on top of zax json parser. |
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DataBrowser2003 - PRESENT Data analysis software easily integratable with runtime analysis systems and hardwares. Not public. |
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Feature tracking2015 Using a simple SOM network for feature tracking. Works suprisingly well. |
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Vehicle tracking2014 Vehicle detection algorithm. No NNs, just simple math. Detects various types of cars regardless of their color, robust against fluctuating light intensity and shadows. |
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License plate detection2003 Algorithm detecting license plates. Just a banch of spatial FIR filters with different kernel shapes, not necessarily rectangulars. |
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Student yearsImage montage of my student work. |