Erhan Bas
About Erhan Bas
Erhan Bas is a Staff Machine Learning Engineer at Scale AI, with a strong background in electrical and computer engineering. He has held various research and academic positions, including roles at Amazon Web Services, GE Global Research, and Howard Hughes Medical Institute, and has coauthored 30 peer-reviewed papers and contributed to multiple patents.
Work at ScaleAI
Erhan Bas currently holds the position of Staff Machine Learning Engineer at Scale AI, where he has been employed since 2022. In this role, he focuses on developing advanced machine learning algorithms and models to enhance the company's data annotation and AI training processes.
Previous Experience at Amazon Web Services
Before joining Scale AI, Erhan Bas worked at Amazon Web Services as a Senior Applied Scientist from 2019 to 2022. During his tenure in the Greater Seattle Area, he contributed to various projects involving cloud-based machine learning solutions.
Educational Background
Erhan Bas earned his Ph.D. in Electrical and Computer Engineering from Northeastern University, where he studied from 2007 to 2011. He also holds a Master's degree in Electrical and Computer Engineering from Koç University, completed from 2005 to 2007. His undergraduate studies were conducted at Orta Doğu Teknik Üniversitesi, where he received a Bachelor's degree in Physics from 2002 to 2005 and another Bachelor's degree in Electrical and Electronics Engineering from 2000 to 2005.
Research and Contributions
Erhan Bas has made significant contributions to the field of machine learning and computer vision. He has coauthored 30 peer-reviewed papers and reviewed over 300 papers for prestigious journals and conferences. His research includes the development of automated techniques for neural circuit connectivity reconstruction and video-image based object detection systems.
Patents and Technical Committee Membership
Erhan Bas is a co-inventor of five US patents related to hydrocarbon prospecting. He is also an elected member of the IEEE Bio Imaging and Signal Processing Technical Committee (IEEE-BISP), reflecting his active involvement in advancing the fields of imaging and signal processing.