Dr. Ahmad Tarraf
Angestellt, Postdoctoral Researcher, TU Darmstadt
Abschluss: Magna cum laude, Goethe Universität Frankfurt
Reinheim, Deutschland
Über mich
Dr. Ahmad Tarraf has been working since 2021 as a postdoc at the Technical University of Darmstadt in the laboratory for parallel programming. Dr. Tarraf received his B.Sc. degree in Mechatronics Engineering from RHU Lebanon in 2013 and his M.Sc. degree in Mechatronics Engineering with the specialization simulation and control in 2016 from the Technical University of Darmstadt. From 2017, he was a research assistant at the Institute of Computer Science at the University of Frankfurt in the research field formal abstraction and verification of analog mixed circuits. He later received his doctoral degree (Dr. rer. nat.) Magna Cum Laude in Computer Science from the University of Frankfurt in early 2021. His research interests include high-performance computing, behavioral modeling, machine learning, formal verification, analog mixed-signal design, and robotics. Dr. Tarraf has been involved in several national research projects and two EuroHPC projects (ADMIRE and DEEP-SEA).
Werdegang
Berufserfahrung von Ahmad Tarraf
Bis heute 3 Jahre und 2 Monate, seit Apr. 2021
Postdoctoral Researcher
TU Darmstadt
Research topic: Formal verification and abstraction of analog circuits. Design Methodology -- at the Institute of Computer-Science Involved fields: analog circuit design, analog verification, machine learning, clustering analysis, data processing, advanced linear algebra, programming (Matlab, C++, Spice, Verilog-A, SystemC-AMS,..)
2 Jahre, Juni 2014 - Mai 2016
2014 HR, 2015 IT&Logistik
Konaktiva Darmstadt
5 Monate, März 2015 - Juli 2015
Elektrotechnik Tutor
TU Darmstadt
Ausbildung von Ahmad Tarraf
4 Jahre, Apr. 2017 - März 2021
Dr. rer. nat. Computer Science
Goethe Universität Frankfurt
3 Jahre und 2 Monate, Okt. 2013 - Nov. 2016
M.Sc. Mechatronics
TU Darmstadt
Specialization: Simulation & Control
Sprachen
Englisch
Fließend
Deutsch
Muttersprache
Arabisch
Gut
Französisch
Grundlagen