About
Aseem Behl is a researcher at the School of Business and Economics, University of Tübingen. His work bridges deep learning methodologies with business intelligence, focusing on extracting insights from visual and textual data. He teaches practical courses on deep learning for visual and language processing, including 'Practical Deep Learning from Visual Data' in Summer Semester 2022 and 'Practical Deep Learning for Language Processing' in Winter Semester 2021/22.
His research interests include:
- Deep Learning
- Business Intelligence
- Computer Vision
- Natural Language Processing
Publications reveal a focus on autonomous driving, scene flow estimation, and data aggregation techniques. He has also explored interdisciplinary work in corpus linguistics using complex network theory for Bollywood song lyrics analysis.
Contact: aseem.behl@uni-tuebingen.de
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