Eyup Cinar, Ph.D. work email
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Eyup Cinar, Ph.D. personal email
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As an Associate Professor and NVIDIA University Ambassador, I specialize in AI and deep learning, focusing on the broader applications of technology in engineering and smart operations. Honored with the TUBITAK 2232 Fellowship for outstanding researchers, my work spans AI-based intelligent systems such as anomaly detection in manufacturing processes. My vision is to integrate academic research with industrial applications, using machine learning and data science to enhance industrial operational efficiency and predictive capabilities. My contributions have led to internationally issued patents and numerous publications. I frequently collaborate with industry partners on innovative manufacturing and digital transformation initiatives, and provide consultancy for SMEs to secure national and EU-based funding. You can contact me at email: dreyupcinar@gmail.com
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Pytorch AmbassadorPytorchTurkey -
Associate ProfessorEskişehir Osmangazi Üniversitesi Apr 2024 - PresentEskişehir, Türkiye -
Assistant ProfessorEskişehir Osmangazi Üniversitesi Nov 2019 - May 2024Eskisehir, TurkeyRecipient of International Outstanding Leading Researcher TUBITAK (Scientific and Technical Research Council of Turkey) 2232 Fellowship -
Nvidia University AmbassadorNvidia Nov 2023 - PresentNVIDIA Deep Learning Institute Certified Instructor. With this official approval I am allowed to deliver Instructor-Led workshops for academia in Deep Learning related applications. -
International Outstanding Researcher Fellow (Bi̇deb 2232 Programme)Tübi̇tak Jan 2020 - Dec 2022Eskişehir, Turkey -
Senior Design Engineer - Semiconductor Patterning Data ScientistAsml Apr 2018 - Oct 2019San Jose, CaAs a Semiconductor Patterning Data Scientist at ASML-HMI, I worked within Pattern Fidelity Metrology group towards novel defect prediction techniques and algorithms. Also, as a member of product engineering group, I assisted with software development and testing for new features of product releases. -
Senior Engineer, Fault Detection And Advanced Process Control EngineerGlobalfoundries Oct 2015 - Apr 2018Malta,NyProcess and Equipment control:- Run-to-run process control (Advanced Process Control) of fab semiconductor manufacturing: Controller design, implementation and continuous improvements, data analysis and process monitoring for quality assurance. - Facilitating fab-wide systems integration and inter-communication of advanced process control (APC), fault detection/classification (FDC) systems.- Fault detection and classification -
Graduate Research AssistantRochester Institute Of Technology Aug 2010 - Oct 2015Rochester, New York Area -
LecturerRochester Institute Of Technology Sep 2012 - Sep 2014Introduction to Artificial Intelligence class (Graduate level with 6 students)Advanced Programming class (24 students) -
Graduate Research Assistant, Fulbright ScholarRochester Institute Of Technology Aug 2008 - Jul 2010Rochester, New York AreaDeveloped new sets of pattern recognition algorithms to process biosignals
Eyup Cinar, Ph.D. Skills
Eyup Cinar, Ph.D. Education Details
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Electrical Engineering- Robotics And Control -
Electrical And Electronics Engineering
Frequently Asked Questions about Eyup Cinar, Ph.D.
What company does Eyup Cinar, Ph.D. work for?
Eyup Cinar, Ph.D. works for Pytorch
What is Eyup Cinar, Ph.D.'s role at the current company?
Eyup Cinar, Ph.D.'s current role is PyTorch Ambassador.
What is Eyup Cinar, Ph.D.'s email address?
Eyup Cinar, Ph.D.'s email address is ey****@****ail.com
What schools did Eyup Cinar, Ph.D. attend?
Eyup Cinar, Ph.D. attended Rochester Institute Of Technology, Rochester Institute Of Technology, Eskişehir Osmangazi Üniversitesi.
What are some of Eyup Cinar, Ph.D.'s interests?
Eyup Cinar, Ph.D. has interest in Science And Technology, Education.
What skills is Eyup Cinar, Ph.D. known for?
Eyup Cinar, Ph.D. has skills like Mems, Microfabrication, Afm, Microfluidics, Lab On A Chip, Matlab, Labview, Design Of Experiments, Mathematical Modeling, C++, Java, Finite Element Analysis.
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