Team

Preeti Rao is a Professor in the Department of Electrical Engg. at IIT Bombay with research interests in speech and music processing, contributing to audio analyses for music pedagogy and computational musicology for Indian art music traditions. She has served as a technical programme chair and meta-reviewer for past editions of the ISMIR conference. She was a general chair for ISMIR 2022 in Bengaluru. She currently serves on the editorial boards of the Journal of New Music Research (JNMR), Transactions of the International Society of Music Information Retrieval (TISMIR) and the Journal of Analytical Approaches to Music of South Asia. Website: https://www.ee.iitb.ac.in/web/people/preeti-rao/

Hema Murthy is a Professor Emeritus in the Department of Computer Science and Engineering at IIT Madras. Her research interests are primarily grounded in Signal Processing guided Machine Learning, with applications in speech, music and brain signals. She has served as a meta reviewer for ISMIR, general chair for ISMIR 2022, TPC chair INTERSPEECH 2018, member of ISCA board (2017-2021). Currently she is an Associate Editor for the IEEE Transactions on Acoustics Speech and Language Processing. She leads a consortium of 24 Institutions on “Speech Technologies in Indian Languages.” She is a fellow of the Indian National Academy of Engineering (2017), fellow of ISCA (International Speech Communication Association) (2022), and a fellow of Asia Pacific Artificial Intelligence Association (2023). Website: www.cse.iitm.ac.in/~hema

Vipul Arora is an Associate Professor and P.K. Kelkar Fellow in the Department of Electrical Engg. at IIT Kanpur. His research interests lie in speech and audio processing as well as computational Physics. He has contributed significantly to learning based methods for music, speech and other audio. He was a tutorials chair for ISMIR 2022, and recently organised and hosted a week-long winter school on the theme of AI for Music at I.I.T. Kanpur which drew a large number of students and faculty across signal processing, computing and design.

Vinoo Alluri is an Assistant Professor at the Cognitive Science Lab at the International Institute of Information Technology-Hyderabad, India. She has a background in Electronics and Communication Engineering, after which she pursued a Masters in Music Engineering Technology at the University of Miami, and a Ph.D. in Musicology from the University of Jyväskylä, Finland. Her work is highly interdisciplinary involving music psychology, music information retrieval, and neuroscience. She also has formal training in the violin and piano. She currently serves as a meta reviewer for ISMIR, virtual chair for the upcoming ISMIR 2024, and co-organizer of the ICMPC/ESCOM 2021.

Nithya Shikarpur is a computer science PhD student at MIT under the supervision of Prof. Anna Huang. She works on generative modeling of music, specifically low-resource genres such as Hindustani music, and is interested in studying aspects of human-AI co-creation with her models. Earlier, she completed her masters in computer science at Mila and Université de Montréal. She has co-organized the Music AI reading group at Mila and volunteered for the organization committee of ISMIR 2022. Website: https://snnithya.github.io

Manaswi Mishra is a PhD student and LEGO Papert fellow at MIT Media Lab, in the Opera of the Future research group with Prof. Tod Machover. His research is focused on generative AI for audio synthesis and novel instrument design for live music performance - across museum archives, Operas and Symphonies around the world; published in the Boston Globe, Harvard Tech Review, Washington Post, Conferences of Computational Creativity, Communications of ACM etc. He has been an organiser of music tech community india hackathons since 2017, ISMIR satellite hackathon 2022, ADCx India 2024.

Ranjani H G is a Principal Data Scientist at GAIA, Ericsson R&D in Bengaluru, India. Her research interests include machine learning, signal processing, speech, audio and music signal analysis and RAN. Her PhD thesis topic was computational approaches for structural analysis of Indian art music signals.She has been a reviewer in past editions of ISMIR, TISMIR, ICASSP and been part of the organizing committee of ISMIR 2022.

Ajay Srinivasamurthy is an Applied Science Manager at Amazon Artificial General Intelligence team in Bengaluru, India and a visiting member of the faculty at the Department of Heritage Science and Technology, IIT Hyderabad. His research interests span speech, audio and music signal processing and machine learning. He has been a meta-reviewer in the past editions of the ISMIR conference and has served as the general chair for ISMIR 2022 in Bengaluru, India. He currently serves on the ISMIR board leading its technology initiatives. Website: https://www.ajaysrinivasamurthy.in/