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Dániel Terbe Email & Phone Number

Researcher and Developer in the Computational Optical Sensing and Processing Laboratory at MTA SZTAKI (Institute for Computer Science and Control)
Location: Budapest, Budapest, Hungary 4 work roles 2 schools
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Researcher and Developer in the Computational Optical Sensing and Processing Laboratory
Location
Budapest, Budapest, Hungary
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Dániel Terbe is listed as Researcher and Developer in the Computational Optical Sensing and Processing Laboratory at MTA SZTAKI (Institute for Computer Science and Control), a company with 315 employees, based in Budapest, Budapest, Hungary. AeroLeads shows a matched LinkedIn profile for Dániel Terbe.

Dániel Terbe previously worked as Researcher/Developer in the Computational Optical Sensing and Processing Laboratory at Mta Sztaki (Institute For Computer Science And Control) and Student Researcher in the computational neuroscience workgroup at Hungarian Academy Of Sciences - Institute Of Experimental Medicine. Dániel Terbe holds Master'S Degree, Info-Bionics from Pázmány Péter Katolikus Egyetem.

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MTA SZTAKI (Institute for Computer Science and Control)

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About Dániel Terbe

I have been always interested in science and technology, especially in the field of physics and computer science. Back then I hesitated about which one to choose as a major.I thought the ultimate thing to learn is physics where I can find answers to questions regarding existence. Thus, I graduated with a BSc in Physics from Eötvös Loránd University (ELTE), Hungary in 2017. During that my interest shifted from "the external to the internal" and I started to learn about the brain and the nervous system.In line with that, my thesis work was about the statistical inference of biophysical neuron model parameters.After that, I started Info-Bionics MSc studies at Pázmány Péter Catholic University (PPKE), Hungary, and started to work in the Institute for Computer Science and Control (SZTAKI, Hungary) in the Optical Sensing and Processing Laboratory.So I end up in the field of computer science and artificial intelligence. Here I gained a lot of experience in the field of machine learning and deep learning, especially in the field of computer vision and image processing.My first project here was Remote Photoplethysmography (rPPG) which is a method to measure pulse-rate from the color changes in the skin remotely with a camera. This was also my master's thesis topic in the university: Remote camera-based pulse estimation using deep learning tools.This work involved the development of real-time software for embedded systems and an iPhone application. After that in 2020, I started to work in the field of Digital Holographic Microscopy (DHM).Besides that, I had/have many other side projects where I apply machine learning and deep learning tools to solve various problems.

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MTA SZTAKI (Institute for Computer Science and Control)
Mta Sztaki (Institute For Computer Science And Control)
Researcher and Developer in the Computational Optical Sensing and Processing Laboratory
Budapest, HU
Website
Employees
315
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4 roles

Dániel Terbe work experience

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Researcher/Developer In The Computational Optical Sensing And Processing Laboratory

Current

Hungary

With an average camera, we are able to detect the subtle color changes in the skin that is associated with the cardiac-cycle, thus we can measure pulse-rate remotely. The name of this field is Remote Photoplethysmography (rPPG).My tasks are to implement/test existing classical rPPG algorithms and deep neural network architectures from literature, workout.

Aug 2017 - Present

Student Researcher In The Computational Neuroscience Workgroup

Hungarian Academy Of Sciences - Institute Of Experimental Medicine

Hungary, Budapest

Statistical inference of (passive) neuron model parameters with computer simulations and Bayesian statistics tools to deliver richer information than simple point estimates (fitting).The current state of source code (and documentation) can be found on GitHub: https://github.com/terbed/parameter-inference

Sep 2015 - Jun 2020

Research Intern

Hungary

Turbine’s goal is to design effective cancer combination therapies using artificial intelligence and computer simulations.My task was to explore machine learning (deep learning) applications in the field of computational biology and present it to the team leader.

Mar 2016 - Jun 2016
Team & coworkers

Colleagues at MTA SZTAKI (Institute for Computer Science and Control)

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2 education records

Dániel Terbe education

Master'S Degree, Info-Bionics

With bionic interfaces specialization. The title of my thesis work: Remote camera-based pulse estimation using deep learning tools

Bachelor Of Physics, Physics, 4.5

With theoretical physics specialization. My thesis work was about statistical inference of neuron model parameters.

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What company does Dániel Terbe work for?

Dániel Terbe works for MTA SZTAKI (Institute for Computer Science and Control).

What is Dániel Terbe's role at MTA SZTAKI (Institute for Computer Science and Control)?

Dániel Terbe is listed as Researcher and Developer in the Computational Optical Sensing and Processing Laboratory at MTA SZTAKI (Institute for Computer Science and Control).

Where is Dániel Terbe based?

Dániel Terbe is based in Budapest, Budapest, Hungary while working with MTA SZTAKI (Institute for Computer Science and Control).

What companies has Dániel Terbe worked for?

Dániel Terbe has worked for Mta Sztaki (Institute For Computer Science And Control), Hungarian Academy Of Sciences - Institute Of Experimental Medicine, and Turbine Ltd..

Who are Dániel Terbe's colleagues at MTA SZTAKI (Institute for Computer Science and Control)?

Dániel Terbe's colleagues at MTA SZTAKI (Institute for Computer Science and Control) include Csaba Meszaros, Shamdeed Kabir, Norbert Finta, Jozsef Bokor, and Balint Gyimes.

How can I contact Dániel Terbe?

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What schools did Dániel Terbe attend?

Dániel Terbe holds Master'S Degree, Info-Bionics from Pázmány Péter Katolikus Egyetem.

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