Sadegh Arefnezhad Email and Phone Number
With a PhD in Automotive Engineering Technology from Technische Universität Graz, I have seamlessly transitioned into the role of Machine Learning Engineer at Magna International, where my core competencies in applied machine learning and advanced driver-assistance systems (ADAS) come to the forefront. My academic journey also includes a Master's and Bachelor's degree in Mechanical Engineering from K. N. Toosi University of Technology, cementing my expertise in the field.At Magna International, our team leverages large language models to innovate and enhance vehicle safety features, building on my previous experience at Rimac Technology, where I developed AI-driven solutions to improve driving skills and safety.
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Machine Learning EngineerMagna International Sep 2023 - PresentGraz, Styria, Austria -
Research EngineerRimac Technology Dec 2021 - Jul 2023Zagreb, CroatiaIn my role as a Research Engineer at Rimac Technology in Zagreb, Croatia, I developed innovative methods to enhance driving skills and safety on the racetrack. By utilizing artificial intelligence, I proposed a new scoring system for driving skills, implemented real-time machine learning for distraction detection, and designed a method to estimate cognitive load using EEG data. These advancements have significantly improved the training sessions for amateur drivers and contributed to a safer racing environment. -
Research Assistant - Phd CandidateTechnische Universität Graz Feb 2018 - Dec 2021Graz, Austria- Implemented convolutional neural networks and long-short term memory networks to classify three levels of driver’s drowsiness using data fusion of biosignals and vehicle-based data. The model provided an accuracy of about 85% for three levels of drowsiness.- Developed a Bayesian encoder-decoder model to predict the critical level of drowsiness about 5 minutes ahead using extracted features from brain data of the drivers. This model provided an accuracy of about 90% for the binary classification.- Processed different types of biosignals such as EEG and ECG of drivers. These signals were used together with vehicle data and facial-based data to monitor the driver’s drowsiness. -
Research AssistantK. N. Toosi University Of Technology Feb 2016 - Oct 2017Tehran, Tehran Province, IranIn my role as a Research Assistant at K. N. Toosi University of Technology in Tehran, Iran, I specialized in developing adaptive neuro-fuzzy models for vehicle positioning and sensor calibration. My work significantly improved accuracy and reduced error rates, showcasing my expertise in data analysis and modeling.
Sadegh Arefnezhad Skills
Sadegh Arefnezhad Education Details
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Automotive Engineering Technology
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Mechanical Engineering
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Mechanical Engineering
Frequently Asked Questions about Sadegh Arefnezhad
What company does Sadegh Arefnezhad work for?
Sadegh Arefnezhad works for Magna International
What is Sadegh Arefnezhad's role at the current company?
Sadegh Arefnezhad's current role is Machine Learning Engineer @ Magna International | PhD in Mechanical Engineering.
What schools did Sadegh Arefnezhad attend?
Sadegh Arefnezhad attended Technische Universität Graz, K. N. Toosi University Of Technology, K. N. Toosi University Of Technology.
What skills is Sadegh Arefnezhad known for?
Sadegh Arefnezhad has skills like Microsoft Excel, Matlab, Autonomous Vehicles, Solidworks, C++, Fuzzy Systems, Programming, Microsoft Office, Msc Adams, Autocad, Microsoft Word, Management.
Who are Sadegh Arefnezhad's colleagues?
Sadegh Arefnezhad's colleagues are Joe Ramey, Steven Holcombe, Andre Lohrer, Ye Yan, Hassan Youssfi, Chet Mcclellan, Thiago Da Silva Gomes.
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