VVIP Lab

Ashkan Moradifirouzabadi

Ashkan Moradifirouzabadi received his B.S. in Electrical Engineering from University of Tehran, Tehran, Iran in February 2021. He mainly studied Digital and Analog Electronic Circuits during his undergraduate. He is currently pursuing his studies toward Ph.D. degree in Computer Engineering at University of California, San Diego, starting in January 2022. His research interest includes In-memory Computing and ML Accelerator Design.

Chang Eun (Paul) Song

Chang Eun (Paul) Song received B.E. degree in Electrical Engineering from Korea University, Seoul, South Korea, in Feb 2022. During his undergraduate, he conducted Digital & Analog circuit design research. He is currently working towards Ph.D. degree at the University of California, San Diego in Computer Science & Engineering. His current research interest includes ML Accelerator, neuromorphic, large language model and in-memory computing.

Personal Website: www.changeunsong.com

Zihan Xia

Zihan Xia received the B.Eng. degree in Communication Engineering from the University of Electronic Science and Technology of China in 2021. He joined University of California, San Diego, ECE department with a Dean's fellowship, and is pursuing the Ph.D. degree in Computer Engineering program. His current research interests include digital and mixed-signal low-power learning systems.

Keming Fan

Keming Fan received her B.E. degree in Electrical Engineering from ShanghaiTech University, China, in June 2022. She also studied at University of California, Berkeley in 2022 as a visiting student. She is currently working toward Ph.D. degree in ECE department at University of California, San Diego. Her current research interest includes hardware-software co-design, mixed-signal circuit design and in-memory computing.

Personal Website: https://k4fan.github.io/

Priyansh Bhatnagar

Priyansh received his B.Eng. degree in Engineering Physics (Major in Electronics) from Delhi Technological University (DTU) in India in 2022. He subsequently enrolled in the Master’s program in Machine Learning and Data Science at the University of California, San Diego. During his master's, Priyansh developed a keen interest in resource-efficient machine learning through various research opportunities with VVIP Lab, Duarte Lab, and the Qualcomm Institute. Consequently, he transitioned to the Ph.D. program in Machine Learning and Data Science in 2024. His current research interests include acceleration of large language models, systems for machine learning, and hardware-software co-design.

Personal Website:

https://sites.google.com/ucsd.edu/priyanshbhatnagar