Please complete the CAPTCHA to continue
A concise factual answer block for searchers comparing this professional profile.
Tianran W. is listed as (M.Sc.) Researcher at Technical University of Braunschweig based in Brunswick, Lower Saxony, Germany. AeroLeads shows a matched LinkedIn profile for Tianran W..
Tianran W. previously worked as Associate Researcher at Tu Braunschweig and Master Thesis Student at Tlk-Thermo Gmbh And Institut Für Thermodynamik [Institute Of Thermodynamics] At Tu Braunschweig. Tianran W. studied at Udacity.
Tianran W. is a (M.Sc.) Researcher at Technical University of Braunschweig. They is proficient in German and English.
Listed skills include Autonomous Driving, Machine Learning, Computer Vision, Automotive Kinematics, and 18 others.
A career timeline built from the work history available for this profile.
Braunschweig Area, Germany
🔵 Institute of Robotics and Process Control [Institut für Robotik und Prozessinformatik]🔸 Development of the IT-Infrastructure for Industry-Robots- Integration of Camunda BPM into Industrial Automation- Integration of different robot control systems, such as Orocos and ROS- Implementation of OPC UA structure🔸 Teaching - Design of task sheets for the course Process-Informatics (WS-2018/19)
Braunschweig Area, Germany
🔵 Thesis: Robust parameter-optimization of dynamic thermal systems with Functional Mock-Up Interface🔸 Implemented two different derivative-free optimization algorithms in Python- Implemented globalized constrained bounded Nelder Mead method- Implemented a self-designed genetic algorithm🔸 Used method from data science to solve a specific problem in numerical optimization in Python- Implemented the algorithm of principal components analysis to verify the degenerated level… Show more 🔵 Thesis: Robust parameter-optimization of dynamic thermal systems with Functional Mock-Up Interface🔸 Implemented two different derivative-free optimization algorithms in Python- Implemented globalized constrained bounded Nelder Mead method- Implemented a self-designed genetic algorithm🔸 Used method from data science to solve a specific problem in numerical optimization in Python- Implemented the algorithm of principal components analysis to verify the degenerated level of a simplex- Used probabilistic restarts to search for global minimums🔸 Studied Lagrange Multipliers method and different penalty functions (for instance, augmented Lagrangian algorithm) to handle the constraints 🔸 Validated the self-implemented optimization algorithms using FMU interface and Modelica programming- Studied the principle (solving process of DAEs) of FMU- Modeled a discretized transient thermal system to simulate the heat transfer in a braking disc and optimized the geometry parameter of the brake disc🔸 Studied the advantages and disadvantages of the above-mentioned two derivative-free algorithms (efficiency, sensibility to steep functions, performances for seeking local and global minimums) Show less
Braunschweig Area, Germany
🔵 Project: VW Data Logger🔸 Processing data received from electric devices of a vehicle (VW Golf) to analyze the driving style of the driver- Implemented a self-designed algorithm to process unreadable binary data into readable decimal data - Used Pandas to analyze the decimal data🔸 GUI Programming- Used Kivy to design the graphical interface- Used Multi-Threading technique to organize the different threads🔸 Fatigue Analysis- Implemented Rainflow Cycle… Show more 🔵 Project: VW Data Logger🔸 Processing data received from electric devices of a vehicle (VW Golf) to analyze the driving style of the driver- Implemented a self-designed algorithm to process unreadable binary data into readable decimal data - Used Pandas to analyze the decimal data🔸 GUI Programming- Used Kivy to design the graphical interface- Used Multi-Threading technique to organize the different threads🔸 Fatigue Analysis- Implemented Rainflow Cycle Counting algorithm to analyze the fatigue condition of the vehicle Show less
🔸 Self Driving Car Engineer (2017) Machine Learning | Deep Learning | Computer Vision | Localization | Sensor Fusion | Control | Path.
🔵 Focus: numerical simulation of automotive kinematics and kinetics 🔵 Average grade: 1.7/1.0 🔵 Student Research Project ( mark 1.7 ): 🔸.
🔵 Average grade: 88/100 🔸 Automotive Kinematics 🔸 Automotive Kinetics 🔸 Automobile Structure 🔵 Meritorious Winner - The Mathematical.
🔵 Maizi Edu 🔸 Embedded Systems Programming on Linux Kernel 🔸 Internet of Things 🔸 Python Web Development 🔵 Camunda Services GmbH 🔸 Camunda.
Quick answers generated from the profile data available on this page.
Tianran W. is listed as (M.Sc.) Researcher at Technical University of Braunschweig.
Tianran W. is based in Brunswick, Lower Saxony, Germany.
Tianran W. has worked for Tu Braunschweig, Tlk-Thermo Gmbh And Institut Für Thermodynamik [Institute Of Thermodynamics] At Tu Braunschweig, and Institut Für Fahrzeugtechnik [ Institute Of Automotive Engineering ] At Tu Braunschweig.
You can use AeroLeads to view verified contact signals for Tianran W., including work email, phone, and LinkedIn data when available.
Tianran W. studied at Udacity.
Tianran W. is listed with skills including Autonomous Driving, Machine Learning, Computer Vision, Automotive Kinematics, Parallel Computing, Thermodynamics, Computer Graphics, and Android Development.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contacts