
taseer.anjum
PartnerProfile
| Profile Type | Partner |
| First Name* | Taseer |
| Last Name* | Anjum |
| Nickname* | taseer-anjum |
| Country and City of Residence * | Berlin (Hohenschönhausen) |
| My Hourly Rate in $ | 69.52 |
| About me: | Taseer works in computational mechanics with a depth of experience shaped by physics research on how slender, lightweight structures deform and fail under load. They specialize in multiphysics FEM work in COMSOL, with additional context from Ansys, and connect simulation to real measurements through in-situ bending tests, synchrotron X-ray diffraction, and Python-based strain-correlation analysis. |
Skills
Expert in
- Finite-Elemente-Analysis (FEA, FEM)
- Thermal Analysis
- Python
Intermediate in
- Computer Aided Design (CAD)
Beginner at
- Matlab
- Matlab Image/Video/Audio Processing
- Computational Fluid Dynamics (CFD)
- C, C++
Speaks
- English
- German
| Description of skills | hysicist with seven years of research experience centered on one recurring problem: how slender, lightweight structures behave and fail under load, and how to predict that computationally before confirming it experimentally. Core expertise is multiphysics finite element simulation in COMSOL, coupling structural mechanics with piezoelectric fields, drift-diffusion transport, and heat flow, with additional experience in Ansys. Every simulation is paired with physical measurement: synchrotron X-ray diffraction (ESRF, DESY, BESSY II), EBSD orientation mapping, photoluminescence spectroscopy, and FIB/SEM imaging. Distinctive strength in mechanical testing under extreme deformation: in-situ three-point bending pushed into the large-deflection regime where standard beam theory breaks down, measured two independent ways on the same specimen through digital image correlation using a strain-correlation code written from scratch in Python, giving direct insight into the measurement’s noise floor and failure modes rather than relying on a commercial black box. Strong scientific computing background: Python for automating full experimental data chains from acquisition through feature extraction, cutting analysis time from days to hours, plus MATLAB, Git, and LaTeX. Experienced in coordinating cross-disciplinary research collaborations across multiple institutes and facilities, writing beamtime proposals and keeping projects on milestone despite shared, time-limited access to major infrastructure, a working model of leadership through clear technical direction rather than close supervision. Ph.D. in Physics (magna cum laude, joint between Universität Siegen and Aix-Marseille Université). Fluent in English; working German at B1 level. |






