Zhiyao Duan is the PI of the AIR lab. He is an associate professor in the Department of Electrical and Computer Engineering at the University of Rochester. He received his Ph.D. in Computer Science from Northwestern University in 2013, an M.S. in Control Science and Engineering from Tsinghua University in 2008, and a B.S. in Automation from Tsinghua University in 2004. He loves music, reading, and traveling. <His Website here.>
Yujia Yan was enrolled in 2017 as a Ph.D. student in the Electrical and Computer Engineering department. Before joining the Air Lab, he worked for Melomemo, a Music Education Technology startup in Beijing. He received his Master's degree in Music Technology from Georgia Institute of Technology in 2015, and he received a Bachelor's degree in Computer Science from Nanjing University of Technology in 2013. His research interest covers a large spectrum of topics, including audio signal processing, computational musicology, and more.
Ge Zhu was enrolled in 2018 as a Ph.D. student in the Electrical and Computer Engineering department. Before joining Air Lab, he got a BS in Physics and a MS in Acoustics from Nanjing University in 2015 and 2018, respectively. His research mainly concentrates on speech processing including speech enhancement, speaker verification, and source separation. He loves playing the guitar.
Christodoulos Benetatos was enrolled in 2018 as a Ph.D. student in the Electrical and Computer Engineering department. He received his bachelor's and master's degrees from National Technical University of Athens in 2018. His research interests are in the field of automatic music generation, human-computer interfaces and more. He also plays the guitar, the flute and the cajon.
Frank Cwitkowitz was enrolled in 2019 as a Ph.D. student in the Electrical and Computer Engineering department. He received his Bachelor's degree and Master's degree in Computer Engineering from the Rochester Institute of Technology (RIT) during 2019. His research interests lie at the intersection of music information retrieval (MIR) and machine learning, with a particular focus on the problem of automatic music transcription. He is also an NRT AR/VR Ph.D. training program fellow, and has worked as a research intern at MIR companies Chordify and Yousician. In his free time, he enjoys practicing and playing electric guitar, studying music theory, strength training, no-gi Brazilian Jiu-Jitsu, cooking, reading, and more.
You (Neil) Zhang was enrolled in 2019 as a Ph.D. student in the Electrical and Computer Engineering department. He received his bachelor’s degree in Automation from University of Electronic Science and Technology of China (UESTC) in 2019. Before joining AIR Lab, he had experience in autonomous driving. His current research interests lie in machine learning and its applications in speech and audio processing, such as synthetic speech detection, personalized spatial audio, and audio-visual rendering and analysis, etc. He is fond of movies, paddle boarding and traveling. <His Website here.>
Moji Heydari was enrolled in 2019 as a Ph.D. student in the Electrical and Computer Engineering department. He received his M.S degree in Audio Engineering, focusing on automatic music emotion recognition from IRIBU in 2018 and a B.S in electrical engineering from Shahid Beheshti University in 2015. He has created a band of 3 human-sized musician robots in his B.S period, a guitarist, a keyboard player, and a tar player robot. His research interests include musician robots, music information retrieval, human-computer interaction, and deep learning. He composes and produces music, plays guitar, and sings in a local rock and roll band. In addition, he likes workouts, podcasts, and nature.
Anton Selitskiy holds a PhD in Differential Equations from Moscow State University (Russia) and master’s degree from the Russian Academy of Music in opera performance and singing teaching. His research in mathematics was about the T. Kato problem, and he has a long experience of teaching math as well. Anton joined AIR lab in 2020 as a PhD student. He is going to apply his previous knowledge to the problem of separation of audio sources using advanced machine learning techniques combined with digital audio processing.
Meiying (Melissa) Chen was enrolled in 2021 as a Ph.D. student in the Electrical and Computer Engineering department. She received B. Management and MPAcc Degrees from Shanghai University, and M.S. in Data Science from the University of Rochester in 2020. Her current research interests are in text-to-speech synthesis and music synthesis. She loves badminton, swimming and traveling.
Qiaoyu (Kelvin) Yang was an undergraduate student at University of Rochester with double majors in computer science and mathematics. He is going to enroll in Fall 2021 as a master student in Electrical and Computer Engineering. His interests lie in music information retrieval and its applications in music generation. He plays the keyboard and writes songs.
It's presently Yongyi's senior year as an undergraduate at the University of Rochester, studying Audio and Music Engineering, with minors in Computer Science and music. He is a software engineer and a music producer at the same time. Speaker verification, text-to-speech synthesis, and music synthesis are some of his current areas of interest. He enjoys jazz music, exciting engineering structures, and perfecting the skill of brewing tea from store-bought teabags. <Personal Website> <Github>.
Sivan is a data science graduate student at Columbia University. Her research interests lie in music information retrieval and multi-modal deep learning, particularly musical expression interfaces, music generation, and embodied machine listening. She is working on the anti-spoofing project in the speech group at AIR Lab in summer 2022. She plays Gu Zheng, electric guitar and synthesizer in an indie band. In her free time, she loves producing music, skateboarding and climbing.
Chengyuan Deng was enrolled in 2021 as a Computer Science Ph.D student at Rutgers University. He received BEng in EE at Tongji University Shanghai, and Master in Computer Science at Rutgers University. His current research interest is music score reduction and algorithm design & analysis for music information retrieval. He is a classical music enthusiast and plays piano. He also does research in theoretical computer science.
Xinhui Chen (MS'21), PhD student at Lehigh University
Yufei Zhang (MS'19), PhD student at RPI
Mingqing Yun (MS'19), Knowles
Hilary Mogul (MS'18), Apple
Yiming Zhao (MS'18), Cisco
Zhuohuang Zhang (MS'17), PhD student at Indiana University Bloomington
Iris Yuping Ren (MS'17), PhD student at Delft University of Technology
Jonathan Downing (MS'16)
Xinzhao Liu (MS'16), Listent America
Jay Biernat (MS'16)
Marko Stamenovic (MS'16), Bose
Hanqing Wen (MS'16), Listent America
Zejin Li (MS'16)
Yuhui Chen (MS'16), Zoom
Shumin Xu (MS'15)
David Heid (MS'15), Bose
Yating Gu (MS'15), Harman
Andrew Trahan (MS'14)
Yiyang Chen (MS'14), Intel
Fei Jiang, Beijing Institute of Technology (Visiting PhD student, Oct 2019 - Feb 2021)
Nan Jiang, Tsinghua University (Visiting PhD student, Oct 2019 - Mar 2020)
Jianyu Fan, Simon Fraser University (Visiting PhD student, Spring 2020)
Mingrui Yuan, Tsinghua University (Visiting undergrad, Summer 2019)
Hangyu Li, Beihang University (Visiting undergrad, Summer 2019)
Yinghao Ma, Peking University (Visiting undergrad, Summer 2019)
Nick Creel, Marlboro College (REU student for site on Music, Media and Minds, Summer 2019)
Daniel Dopp, University of Kentuky (REU student for site on Music, Media and Minds, Summer 2019)
Rui Lu, Tsinghua University (Visiting PhD student, Oct 2017 - Aug 2018)
Peizhe Gao, Beihang University (Visiting undergrad, Summer 2018)
Junyi Fan, China University of Geosciences (Visiting undergrad, Spring and Summer 2018)
Zhihan Zhou, Zhejiang University (Visiting undergrad, Summer 2017)
Andrew Smith, University of Central Florida (REU student, Summer 2017)
Hongjuan Zhang, Shanghai University (Visiting Scholar, 2016-17)
Jun Zhou, Southwest University (Visiting Scholar, 2014-15)