About me
I am currently working for Amazon Prime Video as a Machine Learning Scientist. Previously, I was a member of Stanford AI Lab at Stanford University as a postdoctoral research fellow under the advisory of Dr. Stefano Ermon. At Stanford University, I worked on building efficient convolutional networks in terms of run-time complexity, developing unsupervised and weakly supervised learning methods for better sample complexity in downstream tasks, generative models, and machine learning for computational sustainability. I earned my Ph.D in the Chester F. Carlson Center for the Imaging Science at Rochester Institute of Technology under the advisory of Dr. Matthew. J. Hoffman.
Education
- Ph.D., Chester F. Carlson Center for Imaging Science, RIT, 2011-2016
- Dissertation Topic : “Aerial Vehicle Detection and Tracking using a Multi-modal Adaptive Sensor”
- M.S., Electrical and Computer Engineering Department, University of Bridgeport, 2009-2011
- Thesis Topic : “Non-speech Enviromental Sound Classification with a Pitch Range based Features”
- B.S., Electrical and Electronics Engineering Department, Eskisehir Osmangazi University, 2004-2009
- Thesis Topic : “Autonomous Parallel Parking of non-holonomic Vehicles” “””
Work Experience
- Thesis Topic : “Autonomous Parallel Parking of non-holonomic Vehicles” “””
- Sr. Research Scientist, Samsung Research America, November 2020 - June 2023
- Topics - Vision Transformers, Vision and Language Understanding
- Postdoctoral Research Fellow, Stanford University, July 2018 - October 2020
- Topics - Unsupervised/Weakly Supervised Learning, Efficient Computer Vision, Generative Models, Computational Sustainability
- Computer Vision Engineer, Planet Labs, June 2017 - July 2018
- Topic - Convolutional object detection in low resolution aerial images
- Computer Vision Engineer, Autel Robotics, August 2016 - June 2017
- Topic - High-speed object tracking on low-end embedded systems
- Computer Vision Algorithm Engineer Intern, Huawei R&D, November 2015 - May 2016
- Topic - Unsupervised semantic role assignment to the people in a photo album