Hanspeter Schmid
Member Of The Board Of Advisors at Institute of Sensors and Electronics, FHNW
Windisch, Aargau, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolHanspeter Schmid is an experienced analog microelectronics professor and advisor with over two decades in IC design and eight years of recent technical contribution experience. Based in Switzerland, he blends academic leadership at FHNW with strategic guidance on Switzerland’s national SwissChips initiative, helping shape the country’s semiconductor ecosystem. His early industry work at Oticon and Bernafon gave him deep hands-on analog IC and system administration expertise that informs his teaching and advisory roles. Unusually for an analog specialist, he also contributes to open-source software—enhancing SymPy’s handling of the Heaviside function—demonstrating a rare cross-domain fluency between hardware, signal processing and mathematical software.
8 years of coding experience
Dipl. El.-Ing / Dr. Sc. Techn., Dipl. El.-Ing / Dr. Sc. Techn. at ETH Zürich
German, English, French, Finnish
Github Skills (7)
math-functions10
math10
python10
computer-algebra-system10
maths10
testing9
latex7
Programming languages (4)
Github contributions (5)
sympy/sympy
May 2021 - Jan 2023
A computer algebra system written in pure Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:244 reviews, 42 commits, 50 PRs in 1 year 8 months
Contributions summary:Hanspeter primarily focused on modifying and implementing features related to the Heaviside function within the SymPy library. Their contributions included standardizing the function's behavior at the origin, adapting existing tests, and addressing issues related to singularity functions and pretty printing. The user's work involved making changes to the codebase across multiple files, including functions related to special and elementary mathematical functions, and integrating with various modules.
mathpythonsciencecomputer-algebra-systemalgebra
hanspi42/signalflowgrapher
Sep 2020 - Feb 2022
This Python tool allows you to draw signal-flow graphs, calculate transfer functions (SymPy code is generated for further use in Jupyter notebooks), do graph manipulations (e.g., node elimination and graph transposition), and save a graph as TikZ for use in LaTeX documentation.
Contributions:4 releases, 1 review, 69 commits in 1 year 5 months
signalpythonlatexcalculatetransfer-functions
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.