Professional Experience
Robert Bosch GmbH
03/2024 – present
Senior Software Engineer, Static World Grid, ADAS
- Led an initiative to enhance software quality through systematic refactoring, improving test coverage, and addressing compiler warnings, resulting in more maintainable and reliable code.
- Implemented a tool for visualization of dependencies. This revealed circular dependencies, which helped in the above mentioned refactoring
- Responsible for the software architecture of the component
09/2017 – 02/2024
Senior Software Engineer, Perception, Autonomous Driving
- Software architecture and implementation of a data-lake framework enabling data processing apps, such as label transfer between different sensor types, like camera and LiDAR (Python, algorithms)
- Automated data handling for deep learning applications (Azure DevOps, Python, meta-information database in SQL & web api)
- LiDAR perception pipeline (semantic segmentation, CNNs, TensorFlow), and LiDAR sensor driver development (C++). Implementation of visu-tools
- Designed the coding assessment process in the project and built a team of experts, ensuring seamless integration into the evaluation framework; nominated by the developer community and management for leadership and expertise. Conducted >50 coding interviews, participated in innovative hiring activities
- Cross-divisional mentoring of upper management
- Filed 2 patents (see below for list)
- Coordination and supervision of 5 master students and one PhD student. This led to multiple joint publications. Topics: LiDAR odometry, deep learning approach to depth estimation and depth completion on monocular images and lidar, object detection
- Taskforce contribution for refactoring a CI/CD pipeline
03/2012 – 08/2017
Software Engineer, Internal Combustion Engines
- Developed physical models of diesel engines, implementation as real-time embedded software for the electronic control unit using Ascet, Matlab, Simulink and C. Integration and software test (PC-based, HiL), commissioning on the engine test bench and in the vehicle. Developed software tools for measurement data evaluation and parameter optimization
- Filed 5 patents (see below for list)
- Coordination of a development team with >10 people in Bangalore, India, cooperation with customer teams. Requirements engineering in direct cooperation with external customers
- Supervision of a master thesis (successful patent application)
Karlsruhe Institute of Technology
02/2008 – 02/2012
Researcher
- Numerical simulation of the behavior of many-particle systems. Analysis of quantum-dynamic transport properties of electrons in nanoscopic solids. Development of the required simulation software in C++, execution on compute clusters, including the High Performance Computing Center Stuttgart
- Development of a software tool for the staff administration of the institute using Qt, Python, LDAP
- Teaching assistant
Education
Udacity
12/2016 – 10/2017
Self-driving car engineer
Nanodegree, Certificate of Completion
- Topics: computer vision, deep learning, regression, classification, Kalman filter, particle filter, localization, sensor fusion, PID controller, model predictive controller, search, prediction, behavior planning, semantic segmentation using fully convolutional nets, functional safety, ROS
- Tools used for completing obligatory projects: TensorFlow, Keras, OpenCV, NumPy, sk-learn, C++, Eigen, ROS
- Training of neuronal networks on my PC with Nvidia GTX 1060, Ubuntu
Karlsruhe Institute of Technology
02/2008 – 04/2011
PhD (Dr. rer. nat) in Physics
magna cum laude
- Thesis: “Electronic Transport in Interacting Nanostructures: Time-dependent
Density-Matrix-Renormalisation-Group Approach” - Scholarship (08/2008 – 07/2010) granted by the State of Baden-Württemberg (Germany)
University of Heidelberg
10/2001 – 08/2007
Diploma in Physics
“very good” according to German school grades
- Thesis: “Transport equations for an ultracold non-equilibrium Bose gas”
University of Tübingen
10/1999 – 09/2001
Studies of Physics
Patents
DE102020103794, Verfahren zur Kalibrierung eines Lidarsensors, applicant: Robert Bosch GmbH and Daimler AG, inventors: Philipp Schindler and Alexander Braun, registered: 02/13/2020
DE102020102466, Verfahren zur Kalibrierung einer Kamera und/oder eines Lidarsensors eines Fahrzeugs oder eines Roboters, applicants: Robert Bosch GmbH and Daimler AG, inventors: Philipp Schindler and Alexander Braun, registered 01/31/2020
DE102017213068, Verfahren und Vorrichtung zur Regelung eines Ladedrucks für einen aufgeladenen Verbrennungsmotor, applicant: Robert Bosch GmbH, inventors: Thomas Bleile and Alexander Braun, registered 07/28/2017
DE102016220543, Verfahren und Vorrichtung zur Erkennung eines Verdichterpumpens eines Turboverdichters einer Brennkraftmaschine, applicant: Robert Bosch GmbH, inventors: Karthik Neelappanavara and Alexander Braun, registered 10/20/2016
DE102015216261, Verfahren und Vorrichtung zum Ermitteln einer Stellgröße für einen Ladersteller einer abgasgetriebenen Aufladeeinrichtung, applicant: Robert Bosch GmbH, inventors: Ralf Dirschwigl and Alexander Braun, registered 08/26/2015
DE102015216255, Verfahren zur Berechnung eines Druckabfalls über zwei in einem Gasführungssystem parallel geschaltete strömungshindernde Komponenten, insbesondere bei einer abgasgetriebenen Aufladeeinrichtung für einen Verbrennungsmotor, applicant: Robert Bosch GmbH, inventors: Ralf Dirschwigl and Alexander Braun, registered 08/26/2015
DE102014226771, Verfahren und Vorrichtung zum Betreiben eines aufgeladenen Verbrennungsmotors, applicant: Robert Bosch GmbH, inventors: Ralf Dirschwigl, Eduard Moser and Alexander Braun, registered 12/22/2014
Publications
C. Lang, A. Braun, L. Schillingmann, A. Valada, A Point-Based Approach to Efficient LiDAR Multi-Task Perception, accepted for publication in the Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems IROS (2024)
C. Lang, A. Braun, L. Schillingmann, Karsten Haug, A. Valada, Self-Supervised Representation Learning From Temporal Ordering of Automated Driving Sequences, IEEE Robotics and Automation Letters, vol. 9, pp. 2582-2589 (2024)
C. Lang, A. Braun, L. Schillingmann, A. Valada, Self-Supervised Multi-Object Tracking for Autonomous Driving From Consistency Across Timescales, IEEE Robotics and Automation Letters, vol. 8, pp. 7711-7718 (2023)
C. Lang, A. Braun, L. Schillingmann, A. Valada, On Hyperbolic Embeddings in Object Detection, German Conference on Pattern Recognition, GCPR, pp. 462-476 (2022)
C. Lang, A. Braun, A. Valada, Robust Object Detection Using Knowledge Graph Embeddings, German Conference on Pattern Recognition, GCPR, pp. 445-461 (2022)
G. Eskandar, A. Braun, M. Meinke, K. Armanious, B. Yang, SLPC: A VRNN-based approach for stochastic lidar prediction and completion in autonomous driving, 2021 29th European Signal Processing Conference (EUSIPCO), pp. 721-725 (2021)
A. Braun and P. Schmitteckert, Numerical evaluation of Green’s functions based on the Chebyshev expansion, Phys. Rev. B 90, 165112 (2014)
A. Branschädel, E. Boulat, H. Saleur and P. Schmitteckert, Numerical evaluation of shot noise using real-time simulations, Phys. Rev. B 82, 205414 (2010)
A. Branschädel, E. Boulat, H. Saleur and P. Schmitteckert, Shot Noise in the Self-Dual Interacting Resonant Level Model, Phys. Rev. Lett. 105, 146805 (2010)
A. Branschädel, G. Schneider and P. Schmitteckert, Conductance of inhomogenous systems: Real-time dynamics, Ann. Phys. (Berlin) 522, 657 (2010)
A. Branschädel and T. Gasenzer, 2PI nonequilibrium versus transport equations for an ultracold Bose gas, J. Phys. B: At. Mol. Opt. Phys. 41, 135302 (2008)
Book Chapters
A. Branschädel and P. Schmitteckert, Conductance and Noise Correlations of Correlated Nanostructures, in: High Performance Computing in Science and Engineering ’10, published by W.E. Nagel, D. Kröner and M.M. Resch, (Springer, Berlin, 2010), pages 169-179
A. Branschädel, T. Ulbricht and P. Schmitteckert, Conductance of Correlated Nanostructures, in: High Performance Computing in Science and Engineering ’09, published by W.E. Nagel, D. Kröner and M.M. Resch, (Springer, Berlin, 2009), pages 123-135
Talks
Electronic Transport through Nano Structures, International Workshop on Density Matrix Renormalization Group and Other Advances in Numerical Renormalization Group Methods, (Renmin University of China, Beijing, August 2010, invited by Xiaoqun Wang)
Shot Noise in the Interacting Resonant Level Model, DPG spring meeting
(Regensburg, March 2010)
Numerical Evaluation of Time Dependent Quantities using the DMRG-Method, The Capri Spring School on Transport in Nanostructures 2009 (Anacapri, March 2009)
Dr. Alexander Braun 