معرفی
Ashutosh Modi is an Associate Professor in the Computer Science and Engineering department at Indian Institute of Technology Kanpur. Previously, he conducted research at Disney Research in Pittsburgh, Los Angeles, and Zurich.
His research interests span across Natural Language Processing, Machine Learning, and Artificial Intelligence, with specific focus on multi-modal Affective computing, Conversational Systems, and Natural Language Understanding. His work takes a statistical approach to developing natural language understanding models from statistical regularities in large corpora of text while leveraging linguistic theories.
Dr. Modi has taught multiple courses at IIT Kanpur including:
- Statistical Natural Language Processing (CS779) - Fall 2020, Spring 2021, Spring 2023
- Special Topics in Natural Language Processing (CS698O) - Winter 2020
- Deep Reinforcement Learning (CS698R) - Fall 2021
- Fundamentals of Computing (ESC101) - Spring 2022
His courses cover a comprehensive curriculum from basic linguistics fundamentals and language models to advanced topics like neural networks, word vectors, and transformer architectures including BERT. The teaching approach emphasizes both theoretical foundations and practical applications through research projects.
Dr. Modi completed his PhD at Saarland University in Germany under the supervision of Prof. Dr. Manfred Pinkal and Dr. Ivan Titov. During his doctoral studies, he was associated with the Department of Computational Linguistics, MultiModal Cluster Initiative (MMCI), and Department of Computer Science.
