Javed Arshad Butt

Engineer, Scientist, Programmer

Javed Arshad Butt

Programming Skills

  • 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

  • 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

  • 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

  • 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

  • Android App

    Privately developed own apps, certificate in the form of an exam at the Bergische Universität Wuppertal with a grade of 1.0

Work Experience

  • 06.2022 – Present

    Research Assistant

    Technical University of Dresden - Chair: Aerospace Engineering

    Structure-Integrated High-Pressure Hydrogen Wing Tanks

    • Development of Java applications for creating input files for FEM solvers
    • Generation of 3D geometries and meshes for FEM calculations
    • Automation of complex input data creation for extensive FEM simulations
  • 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

German
Native
English
~ Daily Use
Punjabi
Mother Tongue
Urdu
Mother Tongue
Arabic
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
  • 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
  • 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
  • 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

  • New geometric features in the topology optimization method for the adaptation of structures

    Proceeding of the 13th World Congress of Structural and Multidisciplinary Optimisation

Social Media

LinkedIn
Twitter
Mastodon
Youtube
Rumble
Nostr
Last Updated: 03.08.2024