MATLAB
Undergraduate Research Student
Montanuniversitat Leoben, Austria
02.2025 - 07.2025
- Conducted structural analysis of cadmium selenide (CdSe) core/shell nanocrystals using Small-Angle X-Ray Scattering (SAXS), applying mathematical modeling to study particle shape and shell growth mechanisms.
- Performed tapping-mode AFM investigations of CdSe nanorods on thin film dispersions, comparing varying concentrations and dispersion methods, and analyzed surface morphology using Gwyddion software.
- Designed and executed a Design of Experiments (DoE) framework to optimize flake transfer processes in 2D semiconductor device fabrication.
- Worked with Polydimethylsiloxane (PDMS) laminates and Polypropylene Chloride (PPC) thin films to improve transfer methods, identifying and tuning key process parameters.
- Developed a Response Surface Methodology (RSM) model to determine optimal fabrication conditions, introducing self-defined evaluation parameters such as travel length and delamination point for efficiency assessment.
- Built practical expertise in polymer-assisted flake transfer techniques, directly contributing to advances in vertical stacking of 2D semiconductor surfaces.
- Gained in-depth knowledge of Scanning Probe Microscopy (SPM), including principles, imaging modes, operating parameters, and characterization techniques (STM, AFM, MFM, KPFM).
- Explored carbon-based nanomaterials such as fullerenes, graphene, and carbon nanotubes, learning their synthesis, structural, electronic, optical, and mechanical properties, as well as their applications in polymers and surface science.
- Studied the magnetic properties of nanomaterials, including SQUID-based characterization, magnetism in reduced dimensions, hard/soft magnetic materials, magnetic nanostructures, and their roles in data storage and biomedical applications.
- Completed coursework in machine learning, covering model types, regression, Gaussian processes, probabilistic time series models, and performed detailed assignments on each module.
- Applied concepts from numerical analysis in mechatronics, including matrix algebra, eigendecomposition, SVD, PCA, interpolation, and numerical integration, culminating in a project on condition monitoring of vibrating systems and modeling spring-mass dampers.
- Gained exposure to technology and innovation management, including TRIZ methodology, business model canvas, technology roadmaps, and innovation strategies (product, process, and service).
- Strengthened problem-solving and experimental design skills through research-driven, interdisciplinary approaches combining physics, materials science, and applied engineering.
- Collaborated in a highly international research environment, engaging with peers and faculty from diverse scientific and cultural backgrounds.
- Enhanced scientific communication and interdisciplinary perspective by integrating concepts from physics, nanotechnology, engineering, and management into both project and coursework outcomes.
