Organizing Committee

Name: Stefan Balke

Bio: Hello, I'm Stefan. I completed my PhD in Music Information Retrieval (MIR) in 2017, working in Meinard Müller's group at AudioLabs Erlangen. After that, I spent a year as a PostDoc with Gerhard Widmer's group in Linz. I then worked for three years as a Data Scientist and Team Lead at a consulting company. In the winter term of 2023/24, I had the opportunity to teach as a professor at Hochschule Weserbergland in Hameln, Germany. Currently, I’m back at AudioLabs Erlangen as a PostDoc in Meinard Müller's group, focusing my research on wind music. In my free time, I enjoy spending time with my small family, playing the trumpet, and conducting a local concert band.

Name: Shrinidhi Mahesh

Bio: I am a Graduate Student interested in Music and Machine Learning!

Name: Anna Aljanaki

Bio: In MIR since 2012, growing my MIR group in University of Tartu, Estonia. Interests: similarity, explainable embeddings, digital ethnomusicology, generative models

Name: Lele Liu

Bio: Lele Liu is a research assistant at the University of Würzburg and a PhD candidate at Queen Mary University of London. She holds a Bachelor's degree in Telecommunications Engineering with Management from the Beijing University of Posts and Telecommunications, and a Master's degree in Sound and Music Computing from Queen Mary University of London. Her research primarily focuses on automatic music transcription, beat and downbeat tracking, as well as cross-modal music information retrieval (MIR).

Name: Hsiao-Tzu Hung

Bio: At ISMIR, I attended in 2019 and presented in 2021 on emotion-conditioned music generation. I graduated from the National Taiwan University CSIE AI master’s program in 2022 and worked full-time as an AI/ML software engineer for two years. Currently based in Taiwan and on a career break, I have a keen interest in MIR topics, particularly emotion feature analysis and generative AI. In my free time, I enjoy pottery, novels, and learning Korean, hoping to read Korean novels a year from now.

Name: Hanyu Meng

Bio: I am currently a PhD candidate at the University of New South Wales, Sydney, Australia. I am interested in audio signal processing with deep neural network (DNN), including multi-channel target speaker extraction, music source separation, binaural selective hearing modelling, robust automatic speech recognition, etc. I am a current student member of the International Speech Communication Association (ISCA). Feel free to contact me if you are interested above!

Name: Zeyu Yang

Bio: My name is Zeyu Yang. I recently completed my Master’s degree in Audio Communication and Technology at the Technical University of Berlin, following a Bachelor’s in Information Engineering from Southeast University, China. I began MIR research in my third undergraduate year, focusing on automatic piano transcription and developing a fundamental frequency estimation algorithm for my thesis. I also interned twice as an MIR research engineer at Tencent Music, where I worked on song structure segmentation and an embedding model for singer similarity.

During my master’s studies, I concentrated on spatial audio, real-time audio programming, and electroacoustic music, and developed a spatial sound synthesis system as my thesis project. I also worked for a year at a UX/UI sound solutions startup, handling software development, product design, and algorithm research. I am now actively job hunting and excited to volunteer at ISMIR 2024.

Name: Jess Rucinski

Bio: Jess is a Berlin-based pianist and developer. She worked for the classical music streaming app Idagio for several years as an analyst and search engineer. In 2023, she received her master's degree in Speech and Language Processing from the University of Edinburgh, where she worked with Intelligent Voice in London on her thesis using object detection on spectrograms for speech diarization. Since returning to Berlin, she has worked as a freelance pianist with Deutsche Oper, among other artists and organizations.

Name: Michael Gancz

Bio: Michael Gancz (they/them, b. 1999) graduated from Yale University in 2022 with an MA in music theory and a BA in music. An alum of the Belgian American Educational Foundation and the Gerstein Laboratory, Michael now works as a sound spatialization researcher at XR Pediatrics. They are very excited for their first ISMIR conference!

Name: Sonja Heinze

Bio: Hello, my name is Sonja. I'm currently writing my Master's thesis for my MSc Digital Humanities degree at Leipzig University focusing on an Exploratory Stylometric Analysis of Chiptune Music. In the past years I had the chance to attend ISMIR in Delft and volunteer online already and loved this community. Thus I look forward to be part of ISMIR as a volunteer again.

Name: Megha Sharma

Bio: I’m a recent graduate from the University of Tokyo where I majored in Information and Communication Engineering. My research revolves around curating and generating music for multimedia such as comics using AI. I’m also interested in the ethical issues surrounding generative AI. 
 

Name: Tibor Kiss

Bio: His main focus of interests includes turning into practice what was possible theoretically within the audio research. Currently working in low-latency algorithms suitable for professional audio, such as FPGA based implementations of some of the AI algorithms and many more.

Name: SeungHyun Cho

Bio: Hello, I'm Seunghyun Cho from South Korea. I'm currently sophomore student majoring Electrical engineering. I'm interested in music technology!

Name: Yiwei Ding

Bio: I am a PhD student at University of Würzburg in Germany. Before joining University of Würzburg, I got my master's degree in Georgia Institute of Technology in the US, and my bachelor's degree in Fudan University in China. My main research interests include deep learning for music analysis and understanding.

Name: Karolayne Dessabato

Bio: Karolayne Dessabato is a Master student at Federal University of Rio de Janeiro, with research interests in Statistical Modelling, Bayesian Inference, Music Signal Processing, Music Information Retrieval and Music Emotion Retrieval.

Name: Moiz Ali

Bio: A graduate student in the Georgia Tech Computer Science Program with interests in machine learning in audio. 

Name: Laure Prétet

Bio: Hi! I'm Laure (she / her). I obtained my PhD at Télécom Paris in 2022 and I work at a French start-up company called Bridge.audio ever since. I am a regular ISMIR attendee, both on-site and online, since 2019. Happy to meet you!

Name: Surabhi Shinde

Bio: A recent MSc Data Science graduate with a keen interest in the intersection of music and technology. Passionate about leveraging data science techniques to unravel the complexities of music information retrieval, with a goal of enhancing music discovery and understanding.

Name: Tirna Ghosh

Bio: I am a PhD student currently pursuing my PhD in CS,I am also a vocalist of Indian Classical and art music and have been attending ISMIR for quite some time now.Hope to make ISMIR 2024 a great success.

Name: Mayur Mankar

Bio: I am a 5th year student at Indian Institute of Science Education and Research Bhopal majoring in Data Science and Engineering. My research interests include Unsupervised Domain Adaptation, 3D computer vision, Point Clouds and Multimodal Fusion.

Name: Ajeet Kumar  Singh

Bio: Hi, This is Ajeet Kumar singh I have completed my Master in cs and  having couple of year of research experience with IIT Delhi and wrorked jointly with AIIMS DELHI . My research area is Machine learning , Deep learning , Speech ,Audio, NLP , LLM . I am currently working as Data science Consulatant at INFO ORIGIN INC. 

Name: Natalia Farah

Bio: Natalia is a creative professional with a background in music, tech, and communications, currently pursuing a Master’s in Applied Artificial Intelligence at Tecnológico de Monterrey. She recently participated in Stanford’s Machine Learning for Music Information Retrieval workshop at CCRMA, deepening her research and technical skills. As a digital volunteer for ISMIR 2024, she is eager to support the conference and contribute to the community’s collaborative spirit.

Name: Jingwei Zhao

Bio: I am a 4th year PhD student from NUS interested in MIR, music representation learning, and music co-creation. My research has focused on music composition style modelling and accompaniment arrangement. I am also an accordion player and baritone singer.

Name: Nancy Rico-Mineros

Bio: Nancy is a first-year graduate student at the Center for Computer Research in Music and Acoustics (CCRMA) at Stanford University. Nancy holds a Bachelor’s of Music from NYU where she majored in Music Technology. Her area of focus includes audio signal processing, immersive audio, and music information retrieval.

Name: Vani Dewan

Bio: Vani Dewan is a Neuroscientist and DJ. She is currently a pre-doctoral research coordinator with the Educational Neuroscience Initiative at Stanford University. She graduated from Scripps College in 2021 with a degree in Neuroscience and then received a Fulbright scholarship to work in Dr. Vidita Vaidya's Neurobiology of Emotion Lab in Mumbai, India. Her research interests include music cognition, auditory processing, educational neuroscience, and psycholinguistics. She is a curator of global music, utilizing fusion and frisson to stimulate the brain and body.

Name: Hyon Kim

Bio: A Ph.D. student at Universitat Pompeu Fabra, specializing in dynamics analysis of piano performance and transcription. Previously majored in Pure and Applied Mathematics at Waseda University for undergraduate studies and pursued a Master's degree at the National University of Singapore. Enjoys listening to and playing classical and popular music from around the world.

Name: Sanjay Anand Menon

Bio: A musician, electronics engineer, tech enthusiast and artist - interested in all things audio, creative, tech and innovation at the intersection of audio, music, technology, electronics and computer science.

Name: Devyani Hebbar

Bio: I am a Masters student in Music Technology at NYU. My area of research is text-to-music retrieval, but I'm interested in all things MIR and Audio ML/DSP. As a trained Carnatic vocalist with a passion for engineering, I am thrilled to be a part of the MIR community. 

Name: Ziyu Barbara Xia

Bio: Barbara is a student from university of Toronto with a broad interest in music, cognitive science, and computational musicology.