Associate Professor
Doctor of Philosophy (2013 – 2018), Indian Institute of Technology Bombay, India
Research Fellow (2015 – 2016), Universitat Pomepu Fabra Barcelona, Spain
Postdoctoral Associate (2019 – 2021), New York University Abu Dhabi, UAE
Associate Professor (2021 – present), Zayed University, UAE
Bio
Dr. Kaustuv Kanti Ganguli is an Associate Professor at the College of Interdisciplinary Studies in Zayed University. His area of expertise includes Artificial Intelligence, Machine Learning, Virtual Reality, Audio, Speech and Natural Language Processing, Music Performance, Ethnomusicology, and Multimedia Information Retrieval, Cognitive Neuroscience, Computational Linguistics. Kaustuv beholds a PhD in Electrical Engineering from Indian Institute of Technology Bombay and a Visiting Scholarship at New York University Abu Dhabi. He is a Golden Visa holder in the UAE and co-investigates multiple interdisciplinary projects and grants across the country. As his resume illustrates, Kaustuv envisions to blend humanistic and computational methods in a cross-disciplinary environment within a liberal arts framework. He possesses excellent research, statistics, data assimilation skills, detail-oriented aptitude, and is capable of handling multiple projects simultaneously with minimal supervision, motivated to offer the highest quality of services with a complete focus on cutting-edge research and sustainable innovative teaching.
Office
Abu Dhabi - Khalifa City, MF3-1-013
Phone:
+971 2 599 3212
Email:
Kaustuv.Ganguli@zu.ac.aeTeaching Areas
Artificial Intelligence, Machine Learning, Virtual Reality, Audio, Speech, and Natural Language Processing, Music Performance, Ethnomusicology, and Multimedia Information Retrieval, Cognitive Neuroscience, Computational Linguistics, Sonic Digital Humanities.
Research and Professional Activities
K. K. Ganguli and P. Rao. “A Study of Variability in Raga Motifs in Performance Contexts,” Journal of New Music Research (JNMR), 50(1):102-116, 2021.
K. K. Ganguli and P. Rao. “On the perception of raga motifs by trained musicians,” Journal of the Acoustical Society of America (JASA), 145(4):2418-2434, 2019.
K. K. Ganguli and P. Rao. “On the distributional representation of raga and melody,” Transactions of International Society for Music Information Retrieval (TISMIR), 1(1):79-95, 2018.
K. K. Ganguli, A. Anantapadmanabhan, and C. Guedes. “An approach to adding knowledge constraints by fractal analysis on a generative model of Carnatic rhythm sequence,” in Proc. of Analytical Approaches to World Music Conference (AAWM), Jun 2021, Paris, France.
K. K. Ganguli, S. Gulati, X. Serra, and P. Rao. “Data-driven exploration of melodic structures in Hindustani music,” in Proc. of the 17th International Society for Music Information Retrieval Conference (ISMIR), Aug 2016, New York, USA.
