FADI AL-KHOURY
Hanstava gen ** - lgh ****, ***** Stockholm, Sweden
004********** *********@*****.***
EDUCATION
KTH Royal Institute of Technology, Sweden June 2017 (planned) M.Sc. in Embedded Systems with Embedded Control specialization Thesis topic: Improving safety in safety-critical automotive machine learning systems American University of Sharjah, United Arab Emirates January 2015 B.Sc. in Electrical Engineering
NCEES FE Electrical and Computer
veri able: https://account.ncees.org/rn/150****-******-b991e1a SELECTED COURSES
Data and Machine Learning, Image Analysis and Computer Vision Signal Processing Applied Estimation, Digital Signal Processing Control Nonlinear Control, Hybrid and Embedded Control Systems, Robust Control Other Embedded Systems, Mechatronics, Fault-tolerant Systems, Digital Communications, Microwave Engineering, Power Systems EXPERIENCE
KTH Tra c Simulation & Control Laboratory February 2016 - November 2016 Research Assistant Stockholm, Sweden
Worked on the following projects and tasks:
Fuzzy signal control fuzzy-set optimization, rule-set learning, genetic algorithms, online tuning
Travel-time prediction estimation theory, machine learning Bee’ah June 2014 - July 2014
Engineering Intern Sharjah, United Arab Emirates
Worked on VFD and PLC programming at the Construction Waste and Material Recycling facilities SKILLS
Programming MATLAB, Simulink, MuPAD, Python, C, Linux, SQL, LATEX, NuSMV O ce tools Microsoft Word, Excel, Access, Project
Other Fluent in English, Driving license (UAE)
PUBLICATIONS
Xiaoliang Ma, Fadi Al-Khoury, and Junchen Jin. Prediction of arterial travel time considering delay in vehicle re-identi cation. Transportation Research Procedia, 2016 (accepted for publication)