Resume

About Me

Dr.-Ing. Florian BaumannDr. Florian Baumann received his PhD in the area of Machine Learning applied to Scene Understanding in 2015. He is addicted to Machine Learning since over 10 years and published more than 20 publications. His main research area is visual recognition and solving high-demanding learning problems.
Since December 2016, Florian is the Technical Director of ADASENS Automotive GmbH. He is in charge of delivering and creating the company’s products and targets as well as pre-development and research topics. This includes Machine Learning techniques and Computer Vision algorithms to solve the automotive industry's high demands.

Employment

01/2019 – today     – CTO, Dell Technologies | UDS
12/2016 – 12/2018 – Technical Director, Adasens Automotive GmbH
04/2016 – 11/2016 – Vision Systems Lead, Adasens Automotive GmbH
10/2015 – 03/2016 – Technical Team Lead, Adasens Automotive GmbH
09/2015 – 09/2015 – Development Engineer, Adasens Automotive GmbH
05/2012 – 08/2015 – PhD Student, Project Engineer, Leibniz University of Hannover
2011 – 2012 – Development Engineer, Robert Bosch Car Multimedia GmbH
2009 – 2012 – Development Engineer, Viscom AG

Awards and Grants

2014, Scientific grant  for the best business idea of a Start-Up contest.
2014, Best Student Paper Award by ICPRAM’2014.
2010, Student price for outstanding, voluntary and social engagement.

Talks

TU-Automotive Japan – Leveraging a Multi-Cloud Infrastructure for ADAS/AD
CarIT Kongress Frankfurt IAA – Challenges of Deep Learning in the Development of ADAS/AD
Autonomous Vehicle Test & Development Symposium 2019 – Challenges of Deep Learning in the Development of ADAS/AD
Autonomous Vehicles 2019 Detroit- Chairman, opening and closing talks, Q&A session, leading the audience
Image Sensors America’2019 –
tbc
Image Sensors EU’2019 –
tbc
Image Sensors Asia’2019 –
tbc
CarIT Kongress Berlin –
Challenges of Deep Learning in the Development of ADAS/AD
Connected Vehicles’2019 –
tbc
AVTD 2019 –
Opening Keynote presentation
Autosens 2019 –
Synthetic Scenario Generation
Automated Driving ‘2019 –
Solving the storage conundrum
Autonomous Vehicles 2019 Santa Clara –
Chairman, opening and closing talks, Q&A session, leading the audience
VDI’2019 –
Lane Changes Assistant System for Mirrorless Cars
AVTD’2018 –
Unified System of Tools for ADAS
AVTD’2018 –
Effects of simulated Scenario on Machine Vision Algorithms
CVT’2018 –
Lane Change Assistant System for Commercial Vehicles
IS Auto’2018 –
Unified System of Tools for ADAS
VDI’2018 –
Making Cameras self-aware for autonomous Driving
M³-UK’2017 –
Machine Learning in the Automotive Industry
TNT’2015 –
Random Forests and its Applications to Scene Understanding
WACV’2015 –
Sequential Boosting for Learning a Random Forest Classifier
ICIAR’2014 –
Multi-Sensor Acceleration-based Action Recognition
ISVC’2014 –
Thresholding a Random Forest Classifier
AVSS’2014 –
Computation Strategies for VLBPs
ICPRAM’2014 –
Motion Binary Patterns
SCIA’2013 –
Exploiting Object Characteristics using Custom Features
ISVC’2010 –
Symmetry Enhanced Boosting

Program Committee

02/2019 – Advisory Board of Autonomous Vehicles 2019 Santa Clara
08/2019 – Advisory Board of Autonomous Vehicles 2019 Detroit
01/2019 – Advisory Board of IS Auto Asia 2019
01/2019 – Advisory Board of Cognitive Vehicles 2019
10/2018 – today – Advisory Board of IS Auto EU 2019
03/2018 – today – Program Committee of M³ UK
10/2017 – today – Program Committee of M³ Germany

Other Qualifications

Project management, Operational management
Innovation management
Patent law and Intellectual property rights
Leadership skills
Organizing an industry-student fair 2006 – 2012 KISS ME (Supporting students to get in contact with industry partners)

Development Skills

MS Excel, MS Word, Latex, Pages, Keynote
C/C++, Obj-C, Java, MISRA
HTML, PHP, SQL, XML
MATLAB, R, Python