Fachlicher Schwerpunkt dieses Freiberuflers

R&D, Machine/Deep learning, Python, Keras, Tensorflow, Computer Vision, Matlab

verfügbar ab
23.11.2020
verfügbar zu
100 %
davon vor Ort
100 %
PLZ-Gebiet, Land

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Österreich

Schweiz

Remote-Einsatz
Remote jederzeit möglich
Kontaktwunsch

Ich möchte bevorzugt für Projekte in diesen Einsatzorten kontaktiert werden.

Position

Kommentar
  • R&D, Machine/Deep learning, Computer Vision, Image/Signal Processing & Analysis

Projekte

10/2018 - 05/2020

1 Jahr 8 Monate

Optics Design for Laser Projection

Rolle
Computer Scientist
Kunde
trinamiX GmbH, Ludwigshafen, Germany
Projektinhalte
  • R&D, Algorithms, Machine/Deep learning, 3D Computer Vision, 3D Imaging and Mapping, Image Understanding, Biometrics & Liveness Analysis, Optics Design for Laser Projection Pattern optimization, IP Champion (IP Strategy & Patent Intelligence).

01/2018 - 09/2018

9 Monate

Development of deep learning algorithms for stock price prediction.

Rolle
Innovation Developer
Kunde
Deepy++ Solutions, Stockholm, Sweden

06/2011 - 09/2018

7 Jahre 4 Monate

R&D, Chairman, ReAdapt Vision AB

Rolle
Co-founder
Einsatzort
Stockholm, Sweden
Projektinhalte
  • Commercializing the miniXpose technology (Developed at KTH) that can minimize dangerous carcinogenic radiation dose caused by medical imaging instruments.

11/2006 - 09/2018

11 Jahre 11 Monate

Developing and utilizing Deep Learning and Artificial Intelligenc

Rolle
Researcher & Lecturer
Kunde
Royal Institute of Technology (KTH), Stockholm, Sweden.
Projektinhalte

Research Themes:

Developing and utilizing Deep Learning and Artificial Intelligence methods to empower the following projects: (i) Reconstruction, processing, segmentation & analysis of medical images, (ii) Developing OptoMyoGraphy (OMG) sensors in addition to the required signal processing and pattern recognition, (iii) Developing imaging spectroscopy sensors and systems in addition to hyperspectral imaging systems, (iv) Automated analysis of hyperspectral images and spectroscopic data. 50+ Papers/Publications (detailed list of publications at Google Scholar).

Teaching Tasks:

Assistant supervisor of 4 PhD students. Supervision of 50+ diploma thesis projects (at MSc and BSc levels). Teaching Master and Bachelor level courses dealing with Medical Image Acquisition, Processing, Reconstruction and Analysis.

09/2000 - 09/2018

18 Jahre 1 Monat

Selected Academic Projects

Projektinhalte
  • Automated real-time image quality enhancement of mammography images acquired using low X-ray dose.
  • Development of Deep Learning algorithms for melanoma detection in RGB dermatoscopic images.
  • Automated and fast/real-time image quality enhancement and analysis/diagnostics of eyebottom images (RGB fundus phtographs and NIR images of the retina) acquired using portable/handheld low-cost devices as well as conventional stationary devices (ophthalmoscopes).
  • OptoMyoGraphy (OMG): Muscular activity monitoring using active near-infrared optical sensors.
  • ImpactVision: Cost-effective hyperspectral imaging system.
  • miniXpose: Image quality enhancement technology that helps to minimize X-ray radiation dose.
  • Through Skin Blood Test: Using low cost spectrometry for the measurement of glucose, lactic acid and alcohol concentration in blood through the skin, without taking blood samples.
  • Weigted Incremental Neural Network (WINN): Brain-function inspired self-organising and self-learning machine learning system.
  • SmartPhone Apps for Eye & Vision Test, Asthma Test and Blood Pressure Monitoring.
  • Enhanced FBP: High-performance Medical Image Reconstruction Algorithm.
  • Information Extraction from Multispectral & Hyperspectral Satellite Images.
  • CamSpect: Converting a digital RGB camera into an instantaneous hyperspectral imaging system.
  • HoloSpect: All reflective, holographic, miniature spectrometry and interferometry system.
  • Distance Mapping: Converting a digital camera into passive distance measurement device that generates a distance map of the imaged scene.
  • Soft Grip: Optical sensor system for anti-slip, robotic-hand grip that is fast, accurate, gentle and non-destructive.
  • Using solar chimneys to solve air pollution problems in mega cities surrounded by mountains.

05/2010 - 04/2017

7 Jahre

HoloSpect AB

Rolle
Co-founder
Kunde
R&D
Einsatzort
Stockholm, Sweden
Projektinhalte
  • Commercializing the HoloSpect technology, Developed at KTH

06/2005 - 06/2011

6 Jahre 1 Monat

Commercializing the CamSpect technology, Developed

Rolle
CEO, Co-founder
Kunde
Centre for Image Analysis, Uppsala University.
Einsatzort
Sweden

Projekthistorie

09/2000 – 09/2005

Role: Ph.D. Candidate

Customer: Centre for Image Analysis, Uppsala University, Uppsala, Sweden.


08/1996 – 12/1999

Role: C++ Programming Teacher

Customer: Medborgarskolan, Uppsala, Sweden.

Kompetenzen

Produkte / Standards / Erfahrungen

Profil

I am a machine/deep learning expert with a mindset of an inventor and an entrepreneur. My passion is to invent new approaches for using machine/deep learning, especially in combination with Computer Vision. I have extensive experience in research and development. I was involved in numerous projects aiming at finding innovative ideas and solutions and achieving creative implementations that are optimized for customer needs. My focus technical field is artificial intelligence, machine learning, deep learning (Python, Keras) and signal/image/data processing, analysis, understanding and reconstruction. I am also interested in strategic planning and adaptation of the solution and the implementation to the marketing strategy and customer segment. I always try to combine having a friendly and motivating atmosphere with keeping the required work-rate to meet deadlines. I respect all constructive opinions and value all contributions, especially the creative ones. I always find it exciting to create practical and efficient solutions that are profitable and used in real-life products and services. My spare time interests are photography, ping pong, in addition to walking in nature.

Key Skills ( years of experience within parentheses )

  • R&D (14 years), Artificial Intelligence (3 years), Deep/Machine Learning (3 years, Deep Neural Networks, transfer/pre-trained learning, DNN, CNN, GAN, LSTM, Python, Keras, Tensorflow), Image Processing, Enhancement, Segmentation and Analysis (14 years, Python, Matlab, Octave), Data/Signal Processing and Analysis (14 years).
  • 3D Depth Sensing & Mapping, 3D Optical Sensing (2 years), Spectroscopy & Interferometry (5 years), Computational Multispectral & Hyperspectral Imaging (5 years, Electro-Optical prototyping).
  • Biometrics & Liveness Analysis (5 years) (3 years, using Deep Learning).
  • Medical Imaging & Diagnostics, BioMedical Engineering (12 years).
  • IP Strategy & Patent Intelligence (2 years)

Career

  • The goals of my career is to satisfy my curiosity, seek challenges, and invent elegant solutions to everyday problems to enhance both the life quality for the customer and the profitability for the provider.
  • My passion is to develop practical, user-friendly, technical solutions that simplify complex, timeconsuming tasks and provide robust, accurate, high throughput services – and always taking into account the market, the marketing strategy and customer needs (current and future needs). This goal can be achieved by utilizing high-tech tools in combination with profitable, cost-effective implementation.
  • The extensive experience that I gained within the academic field and the industrial field, motivates me to develop myself further and explore new technical fields and applications.

Programmiersprachen
  • Proficiency in Matlab/Octave (14 years, Machine Learning, Image processing & analysis), Python (5 years, Deep Learning: Keras/Tensorflow, OpenCV).
  • Basic knowledge in GCP, SQL, C++, C, CUDA, Android, Java, Java Script, ASP, Microcontroller programming (Embedded C, Assembly).

Sprachkenntnisse
Arabic
English
German
Basic knowledge/beginner
Swedish

Bemerkungen

Grants, Awards & Prizes on request


Aus- und Weiterbildung

09/2000 - 09/2005

5 Jahre 1 Monat

Computerized Image Analysis

Abschluss
Ph.D. in Computerized Image Analysis
Institution, Ort
Centre for Image Analysis, Uppsala University, Uppsala, Sweden
Schwerpunkt

Thesis Title:

  • Hyperspectral Image Generation, Processing and Analysis.
  • This project was funded by a research grant from the Swedish National Space Board.

09/1995 - 06/2000

4 Jahre 10 Monate

Engineering Physics, Electrophysics

Abschluss
Master of Science (Civilingenjör) in Engineering Physics, Electrophysics
Institution, Ort
Uppsala University, Sweden
Schwerpunkt

Thesis Title:

  • Using Independent Component analysis for Hyperspectral Images.