Description
Amin Ullah is a Senior Machine Learning Engineer at Boeing Research & Technology Software, Seattle, WA, USA. He earned his Ph.D. from the Intelligent Media Laboratory (IMLab) at Sejong University, South Korea, under the supervision of Prof. Sung Wook Baik. His research and development interests include computer vision and machine learning, with experience spanning novelty detection, generative-model-based neural network generation, uncertainty analysis in object segmentation, smart-city AI, autonomous driving, and person re-identification.
Work Experience
- 2023.09 - Present, Senior Machine Learning Engineer, Boeing, Seattle, USA (Boeing Research & Technology Software)
- 2021.06 - 2023.09, Postdoctoral Scholar, Oregon State University, Oregon, USA
Engaged in computer vision research focused on novelty detection, optimized neural network generation using generative models, and uncertainty analysis in object segmentation. - 2021.02 - 2021.05, Postdoctoral Scholar, Sejong University, Seoul, South Korea
Researched and developed deep learning algorithms for smart cities, published a survey on deep architectures for autonomous driving, and assisted in creating efficient networks for person re-identification. - 2017.03 - 2021.02, Graduate Research Assistant, Sejong University, Seoul, South Korea
Conducted research on deep networks for human activity recognition, crowd counting, and anomaly detection; contributed scholarly work in video summarization and multi-view action recognition.
Publications in IMLab Lab
Quick Links
International Conference Papers
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An Adaptive Filtering Technique for Segmentation of Tuberculosis in Microscopic Images
Zulfiqar Ahmad Khan, Waseem Ullah, Amin Ullah , Seungmin Rho, Mi Young Lee, Sung Wook Baik*
Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval (NLPIR), 2020 [📃 Full-Text] -
One-Shot Learning for Surveillance Anomaly Recognition Using Siamese 3D CNN
Amin Ullah , Khan Muhammad, Killichbek Haydarov, Ijaz Ul Haq, Miyoung Lee, Sung Wook Baik*
Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2020 [📃 Full-Text]