How can I apply for ACMS Delhi
Surabhi S. Nath
since 2020 PhD student, Max Planck School of Cognition, Leipzig
since 2020 Master of Science, Berlin School of Mind & Brain, Humboldt University Berlin
2016–2020 Bachelor of Technology in Computer Science and Engineering with minor in Computational Biology, Indraprastha Institute of Information Technology (IIIT) Delhi, India
2021 Mentor, Delhi Women in Machine Learning & Data Science, India
2019 Introduction to Quantitative Biology, IIIT Delhi, India
Academic awards and scholarships
2019 IUSSTF Virerbi Scholarship, University of Southern California, CA, USA
2019 Innovation R&D Award, IIIT Delhi, India
2016–2019 Part of Dean's Merit List, IIIT Delhi, India
Poster presentations and lectures
Nath, S. S., Udandarao, V., & Shukla, J. (2021). It's LeVAsa not LevioSA! Latent encodings for valence-arousal structure alignment. In 8th ACM IKDD CODS and 26th COMAD (pp. 238-242).
Nath, S. S. (2020). Hear her fear: Data sonification for sensitizing society on crime against women in India. In IndiaHCI'20: Proceedings of the 11th Indian Conference on Human-Computer Interaction (pp. 86-91).
Nath, S. S., Jolly, B. L. K., Aggrawal, P., Gupta, V., Grover, M. S., & Shah, R. R. (2019). Universal EEG encoder for learning various intelligent tasks. In 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM, pp. 213-218). IEEE.
Nath, S. S., Mukhopadhyay, D., & Miyapuram, K. P. (2019). Emotive stimuli-triggered participant-based clustering using a novel split-and-merge algorithm. In Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (pp. 277-280).
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