Programming Skills
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Python
Extensive experience in various academic and industrial contexts:
- Research Assistant & Aerospace Engineer, TU Dresden
Research on structure-integrated high-pressure hydrogen tanks in aircraft wings
- Conducting complex optimizations for tank structures
- Post-processing and analysis of FEM results
- Creating plots and visualizations for research results
- Developing scripts to automate research workflows
- Academic Education
Python I and II in Bachelor's; various projects and lectures in Master's focusing on technical applications
- Study Project at DLR
Development of a Python tool for flight mission analysis
- Implementation of the "missioninformer" tool for fuel mass and gradient calculations
- Integration of physics-based equations for cruise flight analysis and empirical fuel fractions
- Investigation and optimization of surrogate models (RBF, Kriging, TPS)
- Analysis of ODE solvers for precise fuel mass calculations
- Implementation and optimization of gradient calculations
- Integration of mass snowball effects for realistic consumption estimates
- Performance optimization: runtime of 50-800 seconds for two-mission calculations including gradients
- Contribution to reducing fuel consumption and emissions in aviation
- Master's Thesis
Further development of control-oriented Cluster-based Network Modeling (CNMc)
- Implementation of 10 different dynamic systems
- Optimization by replacing NMF with SVD, significant runtime improvement
- Modular implementation for easy integration and adaptation
- Development of a flexible configuration system
- Implementation of interactive HTML plots for visual analysis
- Student Assistant
TU Braunschweig - Institute of Flight Guidance and Chair of Fluid Mechanics
- Data processing and analysis with NumPy and Pandas
- Development of 3D real-time visualizations with VisPy
- Industry Experience
Projects at BMW and DLR
- Application of Python in the automotive industry and aerospace engineering
- Private Projects
- Automation of tasks (e.g., Notion to Logseq conversion)
- Artificial Intelligence projects with PyTorch for text-to-speech, for example
- Development of a tool for simultaneous publication of news on multiple social media platforms
- Implementation of a script for automated upload of videos to various social media platforms
Comprehensive knowledge in: NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, Plotly, VisPy, PyTorch, Dask, FEM analysis, optimization algorithms, as well as experience with various social media APIs
- Research Assistant & Aerospace Engineer, TU Dresden
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Java
Extensive experience in academic and professional contexts:
- Research Assistant & Aerospace Engineer, TU Dresden
- Development of Java applications for creating input files for FEM solvers in the context of research on structure-integrated high-pressure hydrogen tanks in aircraft wings
- Generation of 3D geometries and meshes for FEM calculations
- Automation of the creation of complex input data for extensive FEM simulations
- Research Assistant, Bergische Universität Wuppertal (04.2019 – 04.2020)
- Further development and optimization of software for visual evaluation of crash optimization results
- Extension of functionalities for generating HTML files for optimization results
- Improvement of web design and user-friendliness
- Generation of high-quality graphics for publications and presentations
- Student Assistant, Bergische Universität Wuppertal (02.2018 – 01.2019)
- Development of software for visual evaluation of crash optimization results
- Implementation of functions for generating HTML files for visual representation of optimization results
- Integration of Java with HTML, CSS and JavaScript for helpful visualization solutions
- Academic Education
Attended Java lectures and application in study projects
Knowledge: Object-oriented programming, data visualization, integration with web technologies, FEM data generation
- Research Assistant & Aerospace Engineer, TU Dresden
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MATLAB
Solid experience in academic and research contexts, particularly in Multidisciplinary Design Optimization (MDO):
- MDO Course Project, TU Braunschweig
- Implementation of an Individual-Discipline Feasible (IDF) MDO architecture for coupling aerodynamics and structure
- Development of an XDSM diagram to visualize the MDO workflow
- Implementation and optimization of the Class Shape Transformation (CST) method for wing profile description
- Integration and adaptation of the OpenFEMFlow code for aerodynamic analyses
- Use and adaptation of the Weight Index code for structural analyses
- Implementation of complex gradient calculations using central difference method
- Conducting parameter studies to optimize step size for gradient calculations
- Creation of Pareto fronts for analysis of multidisciplinary trade-offs
- Visualization and analysis of optimization results, including wing profile geometries and pressure distributions
- Bachelor's Thesis, Bergische Universität Wuppertal
- Development of 3D topology optimization software
- Extension of an existing 2D method (Adapt) to 3D structures
- Implementation of functions to control connection thickness and minimum distance between connections
- Integration of ParaView for visualization and analysis of 3D optimization results
- Institute of Flight Guidance (IFF), TU Braunschweig
- Use of MATLAB for various research projects in the field of flight guidance
- Development of simulation models for aircraft and flight systems
Knowledge: Numerical optimization, gradient-based methods, multidisciplinary optimization, aerodynamic and structural analysis, signal processing, data visualization, Simulink
- MDO Course Project, TU Braunschweig
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HTML, CSS, JavaScript & Modern Web Technologies
Experience in developing modern, interactive and responsive websites
- Personal Homepage: 🔗 https://javedab.com/
- Development of a highly optimized, modern website with Astro, achieving ideal Lighthouse scores (100/100) for performance and best practices
- Implementation of lazy loading for JavaScript to improve loading times and resource usage
- Integration of tooltips to improve user-friendliness and information delivery
- Multilingual support for improved international accessibility
- Responsive design with adaptive layouts for various devices and screen sizes
- Advanced blog features, including adaptive table of contents for desktop and mobile
- SEO optimization through use of meta information and structured data
- Use of advanced image and SVG compression techniques for high performance
- Use of the Astro Icon library for efficient icon management and reduced loading times
- Styling with Tailwind CSS and DaisyUI for an appealing design
- Web Version of Master's Thesis: 🔗 https://jav-ed.github.io/master_Thesis/
- Creation of an interactive web version of the master's thesis with Quarto
- Integration of custom HTML, CSS, and JavaScript elements to improve presentation and interactivity
- Interactive 3D Diagrams for Scientific Publication: 🔗 https://jav-ed.github.io/H2O_Plot/
- Development of interactive 3D visualizations to support scientific research
- Use of modern JavaScript libraries for 3D data visualizations
- Project at the Chair, Bergische Universität Wuppertal
- Development of HTML files for visual representation of optimization results
Technologies & Tools: Astro, HTML, CSS, JavaScript, Tailwind CSS, DaisyUI, PostCSS, MDX, Quarto, Git/GitHub Pages
- Personal Homepage: 🔗 https://javedab.com/
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Android App
Independently developed Android applications and earned a certificate with a grade of 1.0 through an examination at Bergische Universität Wuppertal (see Downloadable Documents section, under Education - Bachelor).
Work Experience
- 06.2022 – Present
Research Associate
Technical University of Dresden - Chair: Aerospace Engineering
Investigations on Aircraft Wing-Structure-Integrated High-Pressure Hydrogen Tanks (SWITHs)
- Numerical aerodynamic load computations
- Analysis and evaluation of different methods for physically introducing forces in aircraft for experimental structural validation tests, considering economic aspects and accuracy
- Numerical investigations on aerodynamic load approximation using
- Supervised Machine Learning (e.g., Regression)
- Unsupervised Machine Learning (Clustering)
- Curve Simplification Methods
- Developed an efficient optimization framework for real-world aircraft experimental structural testing
- Obtained information regarding the dimensions, number, and placement of Load-Introducing Elements (LIEs)
- Incorporated physics-based constraints
- Demonstrated the performance of the optimization framework through multiple praxis-relevant optimization cases
- Review and analysis of currently available regulatory and certification standards for structural validation tests of Aircraft Wing-Structure-Integrated High-Pressure Hydrogen Tanks (SWITHs), identifying the lack of a single standard for SWITHs
- Thorough analysis of hydrogen properties with a focus on safety-relevant aspects in practical applications
- Study on the application of tank types across different mobility sectors and extrapolation of the best-suited tank type for SWITHs
- Evaluation of whether hydrogen can be used for structural validation tests for aircraft-sized SWITHs
- Investigated whether alternative filling agents can be used in structural validation tests without compromising structural properties, considering hydrogen's detonation risk and high-pressure constraints
- Supervision of student theses, including master's theses
- Attendance of scientific conferences, meetings with aircraft manufacturing and testing companies
- 10.2021 – 04.2022
Research Assistant: Coanda-Effect
Technical University of Braunschweig - Chair: Fluid Mechanics
- Creation of data and order structures
- Database creation, file filtering and appropriate output storage, using Python's NumPy and Pandas
- Digitization of measurement data
- 11.2020 – 02.2021
Research Assistant: Aerodynamic Shape Optimization
German Aerospace Center (DLR) - Institute of Aerodynamics and Flow Technology
- Surrogate models for multi-point mission analysis
- Analytical, symbolic and numerical solving of ordinary differential equations
- Numerical gradient calculation
- 04.2020 – 10.2020
Research Assistant: Real Time 3D Viewer
Technical University of Braunschweig - Chair: Flight Guidance
- Calculation of an aircraft simulation model in Matlab
- Receive data in Python via UDP, use Cython, C++ and NumPy for data processing within Python
- 3D real-time display of the simulated aircraft model from Simulink in VisPy (high-performance GPU library)
- 04.2019 – 04.2020
Research Assistant: Optimization of Mechanical Structures
Bergische Universität Wuppertal
- Programming software for visual evaluation of crash optimization results with Java
- Programming HTML files for visual representation of optimization results with Java, HTML, CSS and JavaScript
- Adjustments for publications in LaTeX
- Creating graphics for presentations and publications
- 02.2018 – 01.2019
Student Assistant: Optimization of Mechanical Structures
Bergische Universität Wuppertal
- Programming software for visual evaluation of crash optimization results with Java
- Programming HTML files for visual representation of optimization results (Java, HTML, CSS, JavaScript)
- 01.2015 – 07.2015
Austrian Armed Forces
Bundesheer
- Basic training: Handling of assault rifle
- Promotion to Private
Languages
Native
~ Daily Use
Mother Tongue
Mother Tongue
A1
Education
- 04.2019 – 05.2022
Master in Aerospace Engineering
TU-Braunschweig
Flow predictions using control-oriented cluster-based network modeling
- Developed an improved version of control-oriented Cluster-based Network Modeling (CNMc) for predicting trajectories of general dynamical systems
- Implemented and compared multiple machine learning techniques for modeling system dynamics
- Utilized k-means++ clustering algorithm to represent complex system dynamics
- Applied dimensionality reduction techniques (SVD, NMF) to efficiently model transition properties
- Developed automated parameter studies for optimal mode selection in decomposition methods
- Implemented and evaluated various interpolation and regression models
- Utilized scikit-learn library for implementing machine learning algorithms
- Developed a flexible configuration system for easy adjustment of machine learning hyperparameters
- Implemented cross-validation techniques to assess and optimize model performance
- Created a modular framework allowing easy integration of new algorithms and dynamical systems
Thesis Resources:
- 05.2021 – 08.2021
Study Project
DLR and TU-Braunschweig
Development of a module for mission analysis for a gradient based aerodynamic shape optimization process
- Developed a lightweight Python tool (missioninformer) for calculating total fuel mass and its gradients for user-defined flight missions
- Implemented physics-based equations for cruise segment analysis and integrated empirical fuel fractions
- Conducted investigations on surrogate models (RBF, Kriging, TPS) to optimize interpolation accuracy and execution time
- Performed analysis of ODE solvers, comparing analytical and numerical solutions
- Implemented and optimized gradient calculations using central differencing scheme
- Integrated mass snowball effects through fix-point iterations for realistic fuel consumption estimates
- Optimized tool performance, achieving runtime between 50 to 800 seconds for two-mission calculations including gradient computation
Thesis Resources:
- 04.2019 – 09.2019
Master in Mechanical Engineering
Bergische Universität Wuppertal
1 semester completed
- 10.2015 - 03.2019
Bachelor in Mechanical Engineering
Bergische Universität Wuppertal in cooperation with BMW
Extension of a topology optimisation method for the adaptive reinforcement of mechanical structures from 2D to 3D
- Extended an existing 2D topology optimization method (Adapt) to 3D structures, enabling optimization of complex 3D geometries
- Implemented features to control connection thickness, minimum distance between connections, and prevent local reinforcements in the optimized structures
- Developed method to prohibit connections at edges and corners in 3D optimized structures
- Conducted finite element reanalysis using OptiStruct to validate stiffness improvements of optimized 3D structures
- Modified the optimization method to handle slightly different load cases between the base structure and optimized reinforcements
- Implemented capability to import external 2D and 3D CAD geometries as base structures for optimization
- Integrated ParaView as a powerful open-source post-processor for visualizing and analyzing 3D optimization results
- Wrote modular, extensible code in MATLAB to enable easy addition of new dynamic systems and features
- Conducted parameter studies to evaluate the impact of different optimization parameters on results
- Demonstrated application of the extended method on multiple 2D and 3D test cases, including automotive-inspired geometries
Thesis Resources:
- 2006 - 2014
Reifeprüfung (Matura)
BRGORG 15 Wien, Austria
Internships
- 07.2018 – 10.2018
Voluntary Internship in Research and Development
BMW Group, Department: EF 242
- Extended a topology optimization method to enable calculations at vehicle level, with improved computation time in Matlab
- Conducted extensive investigation of various state-of-the-art methods regarding mesh independence
- Tested the applicability of parallelization on CPU and GPU with various methods (BLAS, LAPACK, MPI)
- Compared different programming languages regarding implementation, developed methods and computation time (C++, Fortran, Python)
- Familiarized with topology optimization using Hypermesh, Hyperview and Optistruct software
- 08.2017 – 09.2017
Engineering Internship in Water and Energy
Wupperverband
- Visited sewage treatment plants in Leverkusen, Burg, Schwelm and Kohlfurth with explanations of the treatment process
- Independently read and understood R+I diagrams for the digester gas system and the CHP plant in Hückeswagen using DIN 30600, 1946, 2481, 19227 and 28004
- Merged plant components in an Excel list for further processing in Wupperverband's maintenance software
- Created and edited PDF acceptance form 442 for practical use on the construction site
- Gained insights into VOB, HOAI and award procedures through participation in various meetings and administrative processes
- Received explanations on pumps, fittings, pipelines and sludge dewatering machines
- 08.2016 – 09.2016 | 03.2016 – 04.2016
Basic Internship for Mechanical Engineering Part 2
Technische Betriebe Solingen
- Learning basic manufacturing processes:
- Manual processing of metallic materials: sawing, drilling, scribing, filing, bending, chiseling, reaming, countersinking, thread cutting, riveting, straightening, sharp grinding
- Machine processing of metallic materials: turning, milling, grinding, drilling
- Thermal joining and cutting processes: autogenous, arc and resistance welding, flame cutting, special welding and cutting processes, soldering
Voluntary Work
- 04.2019 – 09.2019
Instructor for 3 courses: Running, Beach Soccer, Kickboxing
University Sports Wuppertal: Activity as trainer
- 04.2017 – 07.2018
Instructor for 3 courses: Futsal, Budo Fitness, Kickboxing
University Sports Wuppertal: Activity as trainer
Awards & Certificates
- English Level C1
- Special Mechanical Engineering Lecture
- Austrian Armed Forces: Promotion to Private
- Vienna's Best Runner in 2014
- ECDL Core and ECDL Advanced in Word
Publications
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New geometric features in the topology optimization method for the adaptation of structures
Proceeding of the 13th World Congress of Structural and Multidisciplinary Optimisation
Downloadable Documents
Last Updated: 23.02.2025 | 24 Shaban 1446