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Sangida Jahan

Sangida Jahan

Physicist (B.Sc., M.Sc. Computational Physics) and Computational Mechanics Researcher

Talente
NürnbergMitglied seit 30. Juli 2026
Digital TwinsModel calibrationParticle Swarm Optimization (PSO)Genetic Algorithm (GA)Bayesian OptimizationSimulated AnnealingPythonSQLFORTRANMATLABsimufact.formingKNIMEGitFisher Information Matrix (FIM)Parameter identificationSensitivity analysisComputational Fluid DynamicsThermodynamicsNonlinear FEMDeep LearningMachine LearningBig Data Management
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Digital TwinsModel calibrationParticle Swarm Optimization (PSO)Genetic Algorithm (GA)Bayesian Optimization

Über

Computational Engineer specializing in Digital Twin, FEM, and Optimization, with 2.5+ years of experience in physics-based simulation and model calibration for complex energy systems. Strong background in Physics and Computational Mechanics, including multiphysics and FEM modeling. Experienced in parameter identification, sensor-based validation, and advanced optimization techniques (PSO, GA, Bayesian Optimization, Simulated Annealing, hybrid methods).

Skilled in developing Python-based scientific workflows integrated with high-fidelity simulation environments. Passionate about bridging fundamental physics, numerical simulation, and data-driven methods for advanced engineering and research application

Berufserfahrung

Research Associate (Wissenschaftliche Mitarbeiterin) at Ravensburg-Weingarten University of Applied Sciences (RWU) – Institute for Applied Research (IAF) (2023-05 – 2025-12)

Project: ALARMBOT

  • Developed and calibrated a digital performance twin of a combustion engine, improving prediction accuracy across diverse operating conditions
  • Built a robust Python-based optimization pipeline integrated with a Java simulation engine for large-scale parameter calibration
  • Implemented and benchmarked advanced optimization algorithms: Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Bayesian Optimization (BO), Simulated Annealing (SA), Hybrid GD-Adam
  • Designed variance-normalized sensor-based fitness functions (TRD) for stable multi-sensor calibration
  • Performed parameter identifiability & sensitivity analysis using Fisher Information Matrix (FIM)
  • Delivered technical reports, visual analytics, and presentations to academic and industry stakeholders

Trainee – Press Technology Simulation at RIBE Elektroarmaturen GmbH & Co. KG (2014-03 – 2014-09)

  • Conducted mechanical testing and simulation validation
  • Developed FORTRAN-based user interface (SIMUFACT)
  • Compared simulation results with experimental data

Project Operator International Type Approval at CETECOM GmbH (2011-05 – 2012-11)

  • Managed global certification processes for radio equipment
  • Ensured compliance with international regulatory standards

Student Research Assistant – Soft Matter Physics at Research center Juelich (2007-09 – 2008-06)

  • Investigated water-water emulsion stabilization and separation mechanisms
  • Conducted experimental analysis of soft matter systems

Full-time parent at Self-employed (2016-07 – 2021-12)

  • Full-time parent responsible for children's education and development
  • Completed self-directed study in Computational Mechanics and Physics
  • Advanced German language skills to B2 certification
  • Maintained technical currency through independent projects

Ausbildung

M.Sc. in Computational Mechanics – University of Duisburg-Essen (2010-04 – 2016-06)

Diploma in Physical Engineering – Aachen University of applied Science, Juelich Division (2005-10 – 2010-03)

M.Sc. in Physics – University of Dhaka (2000-01 – 2001-12)

B.Sc. (Hons, 4-years) in Physics – University of Dhaka (1996-01 – 2000-12)

Higher Secondary Certificate (H.S.C) in Science – Begum Badrunnesa Govt. Mohila College (1993-01 – 1995-12)

School Secondary Certificate (S.S.C) in Science – Monipur High School, Mirpur 2 (1982-01 – 1993-12)

Course Completion in Data Science – educx GmbH (2022-01 – 2022-06)

Fähigkeiten

Physicist (B.Sc.

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