People

Ben is currently pursuing a PhD under the guidance of Dr. Yung-Hsiang Lu. Since August 2023, he has been serving as a graduate mentor for the AIM program. His research focuses on the training and application of multimodal transformers to enhance the experiences and lives of musicians and music enthusiasts.

Jeongmin is pursuing a Master of Science degree under the guidance of Dr. Yung-Hsiang Lu. Her research focuses on machine learning and robotics, with an emphasis on computer vision and audio signal processing.

Samantha is pursuing a PhD under the guidance of Dr. Yung-Hsiang Lu. She is serving as a graduate mentor for the Robot Cello project and has been working with this team since August 2023. Her research focuses on interpretable and generalizable detection of AI-generated content, as well as in NLP and Human-Computer interaction.

Ojas Chaturvedi leads the Automatic Music Transcription project, where he directs a team in developing machine learning solutions for complex audio tasks, including tackling the “cocktail party problem” to improve music transcription for individuals with hearing impairments. As a student at Purdue University, he is pursuing a Bachelor of Science in Computer Science and Data Science with a minor in Mathematics. His work also includes organizing national competitions to drive advancements in signal processing and transcription technology. Outside of his research, he enjoys playing guitar, exploring various music genres, and staying active through tennis.

Kayshav is the Co-Lead for the Automatic Music Transcription project. He is currently studying for a B.S. in Artificial Intelligence. In his spare time, he enjoys music and loves playing board games.

Ropan leads the Evaluator Sound team, which is focused on developing an app to help musicians practice more effectively by automatically providing feedback on errors in performances. An undergraduate at Purdue University, he is pursuing a B.S. in Computer Science and Mathematics. His hobbies include competitive programming, chess, and classical guitar.

Dr. Victor Yingjie Chen is a professor of Computer Graphics Technology. His research covers interdisciplinary domains of Computer Graphics and Human–Computer Interaction, such as Information Visualization, Visual Analytics, Virtual Reality, and AI in Computer Graphics. He seeks to design, model, and construct new forms of interaction in visualization and system design, by which the system can minimize its influence on design and analysis, and become a true free extension of the human brain and hand.

Dr. Yung-Hsiang Lu is a professor of Electrical and Computer Engineering at Purdue University and a University Faculty Scholar. He is a fellow of the IEEE, distinguished visitor of the Computer Society, and distinguished scientist and speaker of the ACM. Dr. Lu was the inaugural director of Purdue's John Martinson Engineering Entrepreneurial Center (2020–2022). In 2019, he received the Outstanding VIP-Based Entrepreneur Award from the VIP Consortium. His research areas include computer vision, embedded systems, cloud and mobile computing. He has advised 400 undergraduate students in research projects and taught more than 5,000 students in classrooms; multiple student teams he has advised have won business plan competitions, and two have started technology companies that raised more than $1.5M.

Dr. Cheryl Zhenyu Qian is a full professor of Interaction Design in Industrial Design at Purdue University. Being a boundary crosser, Dr. Qian is interested in studying and developing cognitive systems to enrich knowledge, employing interdisciplinary research methodologies to improve design quality, and adopting innovative technologies to accommodate user experience. Her current research focuses on (1) the harmonious integration of physical and virtual interactions in user-experience design, (2) using interaction-design theories, tools, and evaluation methods to review, compare, guide, and enhance product-design outcomes, and (3) applying innovative design thinking to the domain of visual analytics.

Professor Mohammad Saifur Rahman is the inaugural Daniels School Chair in Management and a Professor of Management at the Mitchell E. Daniels, Jr. School of Business, Purdue University. He was named one of the world's top 40 business school professors under 40 by Poets and Quants in 2017. His research primarily focuses on digitization economics, omnichannel retailing, innovations and inequality, and AI and decision making. He has published in major journals including Management Science, Information Systems Research, and MIT Sloan Management Review, and his work has been supported by multiple major Social Sciences and Humanities Research Council (SSHRC) grants.