Oliver Keszocze
Full Professor For Technical Computer Science at Technische Universität Clausthal (TU Clausthal, Clausthal University of Technology)
Clausthal-Zellerfeld, Lower Saxony, Germany
Summary
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Senior🎓
Top SchoolOliver Keszocze is a Full Professor for Technical Computer Science with 12 years of research and development experience at the intersection of logic synthesis, verification, and approximate computing—teaching machines to compute "incorrectly" to gain improvements in performance, area, and power while guaranteeing bounded safety margins. His academic path from summa cum laude PhD to professorship spans leading roles at TU Clausthal, DTU Compute, FAU Erlangen‑Nürnberg, DFKI and the University of Bremen, and includes work on optical, reversible/quantum circuits and biochips. He combines rigorous formal methods with practical engineering, recently extending his focus to modern hardware description languages and open hardware ecosystems. Beyond academia he contributes to open-source full‑stack projects—improving financial data visualization and analytics—which reflects a hands-on approach to building usable tools from theoretical insights.
12 years of coding experience
13 years of employment as a software developer
Doktor (Ph.D.), Computer Science, Summa cum laude, Doktor (Ph.D.), Computer Science, Summa cum laude at Universität Bremen
English, German
Github Skills (13)
javas10
uid10
financial10
eclipse10
performance-analysis10
front-end-development10
ui-design10
perf10
chartjs10
java10
charting10
charts10
swt9
Programming languages (9)
Github contributions (5)
portfolio-performance/portfolio
Jun 2018 - Aug 2018
Track and evaluate the performance of your investment portfolio across stocks, cryptocurrencies, and other assets.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:8 commits, 4 PRs, 7 comments in 1 month
Contributions summary:Oliver focused on enhancing the portfolio performance application's user interface and functionality. They implemented a quarterly dividend bar chart tab and a quarterly dividend matrix tab, adding data visualization capabilities to the application. The user also incorporated a new performance calculation, specifically for relevant transactions, and updated related labels and widget layouts within the dashboard. These changes indicate an effort to improve the application's financial data analysis and reporting capabilities.
financialinvestment-portfoliopythonportfolio-performanceinvestment
agra-uni-bremen/BioViz
Jul 2015 - Jul 2017
Contributions:1106 commits, 1 push in 2 years
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