Curriculum vitae Dr. Thomas Fritsch

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Entrepreneurial career

since Jun 2017

Founder and CEO of Tokeya Deep Data Dive GmbH & Co. KG

  • Main focus:
    • artificial intelligence
    • Deep Learning
    • time series analysis
    • Industrial Internet of Things (IIoT)
since May 2015

Consultant within the context of BRAIN² Soft Computing & Consulting

  • Main focus:
    • Neuronal networks
    • arificial intelligence
    • energy technology
    • Transformer oil diagnostics
    • Data Science
  • Clients:
    • international consulting companies
    • e.g. Gerson Lehrman Group (GLG) planned
Aug 2009 – Apr 2017

Founder and CEO of Yucoya Energy Safety GmbH

  • company’s purpose:
    • development, production and distribution of electronic measuring instruments for transformer oil analysis with multi-frequency ultrasound
Jan 2008 – Jul 2009

own research activities

    Main focus:
    • Oil parameter analysis with multi-frequency ultrasound
    • intelligent data analysis
Jun 2006 – Oct 2008

development work for A. Eberle GmbH & Co. KG

  • Main focus:
    • Oil parameter analysis with multi-frequency ultrasound
    • intelligent data analysis
Nov 2004 – Oct 2005

development work for Sick Engineering GmbH

  • main focus:
    • Ultrasonic signal processing for flare gas measurement in gas pipelines
Nov 2004 – Oct 2005

science marketing for A. Eberle GmbH & Co. KG

  • main focus:
    • Avoidance of power system failures with "CPR-D" (now GDASys)
Nov 1999 – Oct 2004

IT consultant

  • Main focus:
    • Business Intelligence
    • Data Mining
    • Content- and Knowledge-Management
Nov 1999 – Oct 2004

entrepreneurial activity in IT

  • Main focus:
    • laboratory medicine
    • Facility Management for DKV-ERGO insurance group
    • content- and knowledge management
Mar 1996 – Oct 1999

entrepreneurial activity

  • main focus:
    • medical image and signal processing
  • projects:
    • Establishment and management of the international scientific project group "3D real-time polychrome sonography" (Würzburg, Warsaw, Gliwice)
    • Electronic development for raw data acquisition and analysis of medical ultrasound devices for the Institute of Environmental Medicine at the Canadian Ministry of Defense (DCIEM, Toronto)
    • Development contract for the application of neural networks and acousto-optical methods for medical ultrasound imaging by ROI AG, Martinsried, Germany
Sep 1996 – Mar 1999

Adjunct Professor in Mathematics at University of Applied Sciences Würzburg-Schweinfurt-Aschaffenburg

Mar 1995 – Feb 1996

freelance IT lecturer at bfz Würzburg and Munich

  • main focus:
    • Advanced training courses for graduates offered by the Employment Office
Jan 1993 – Mar 1996

freelance employee of Nimbus GmbH

  • main focus:
    • data analysis and data mining of medical data with neuronal networks

Professional career

1990 – 1994

research associate at Lehrstuhl für Verteilte Systeme

    Main focus:
    • Neural networks in telecommunications
    • interdisciplinary projects for the application of neural networks in automotive, medical & product engineering at Daimler-Benz AG, IBM and medium-sized companies
1984 – 1990

Self-employed activity

  • Activities:
    • education and training
    • consulting
    • Programming
  • Main focus:
    • C programming
    • CAD-CAM
    • Networks
  • Clients:
    • bfz – Professional Training Centres of the Bavarian Employers' Associations
    • Chamber of Commerce Würzburg
    • Meteosat Software GmbH & Co. KG, Munich und Heidelberg

Academic career

Mai 1990 – Jul 1995

Doctorate in Computer Science at Lehrstuhl für Verteilte Systeme

Degree: Dr. rer. nat. – Overall grade: „very good“

Doctoral thesis:
  • Neuronal networks in planning and optimization of mobile communication systems
1984 – 1989

Study of Mathematics at University of Würzburg

Degree: qualified mathematician

Subsidiary subject:
  • Computer Science
1979 – 1984

Study of slavistics at University of Würzburg

1976 – 1979

Study of physics and economics at University of Würzburg

Skills

Foreign languages:
  • English (business fluent)
  • French (basic knowledge)
  • Russian (basic knowledge)