Home
About BSAC
- BSAC is an interdisciplinary engineering research consortium designed to enable commercially relevant, pre-competitive research through collaboration and sustained partnerships between industry and academia.
  
  Overview
  
  What We Do
  
  People
  
  Contact Us
  
  Visiting
Membership
- BSAC is supported and guided by a consortium of industry leaders. With a relatively modest investment, BSAC members gain unique access to cutting-edge interdisciplinary MEMS research and BSAC faculty, students, and postdocs.
  
  Overview
  
  Benefits of BSAC Membership
  
  Collaboration Membership
  
  Visiting Industrial Fellow Program
  
  Industry Members
  
  BSAC IP & Patent Policy
  
  Become a BSAC Member
Research
- BSAC's multi-disciplinary research team includes nearly 100 graduate students and post-doctoral researchers that are led by 10 co-directors from the engineering faculties of electrical, mechanical, and bioengineering at UC Berkeley and UC Davis. BSAC co-directors oversee nearly 100 projects for which prepublication research is reported to BSAC Industrial Members during the semiannual research review.
  
  Overview
  
  Projects
  
  Publications
  
  Tutorials
  
  Research Highlights
News & Events
- BSAC Semi-annual Research Review & Industrial Advisory Board (IAB) Meetings give BSAC members the opportunity to preview BSAC research and future technologies.
  
  Overview
  
  BSAC Conference
  
  BSAC Seminar Series
  
  Honors & Awards
  
  Best of BSAC

Secondary navigation

Wei Yue

Job title:

Graduate Student Researcher

Affiliation:

Mechanical Engineering

Professor Liwei Lin (Advisor)

Ph.D. 2026 (Anticipated)

Bio/CV:

Wei Yue received his B.S. in Theoretical and Applied Mechanics from Peking University in 2021. He is currently pursuing Ph.D. in MEMS/Nano in Mechanical Engineering at UC Berkeley under the supervision of Professor Liwei Lin.

BSAC Fall 2024 Research Review Presenter

Role:

Full CV:

cv_weiyue_2024.pdf

Projects & Publications

BPN992: Sensing and Actuation Applications Using Lithium Niobate PMUTs

Wei Yue; Megan Teng; Hanxiao Liu; Yande Peng

BSAC Project Materials (Final/Archive), 2025

BPN941: Ultrasound-Induced Haptic Interface

Fan Xia; Huicong Deng; Umut Can Yener; Wei Yue

BSAC Project Materials (Current), 2025

BPNX1036: Enhanced Gas Sensing with Machine Learning (New Project)

Yuan Gao; Wei Yue

BSAC Project Materials (Current), 2025

Mid-Air Acoustic Actuation by PMUTs

Wei Yue

Research Review Presentations, 2024

BPNX1007: Surface Tension-Driven Liquid Metal Actuator

Peisheng He; Zihan Wang; Wei Yue

BSAC Project Materials (Current), 2024

Ultrafast Biomimetic Untethered Soft Actuators with Bone-In-Flesh Constructs Actuated by Magnetic Field

Wei Yue; Renxiao Xu; Fanping Sui; Yuan Gao; Liwei Lin

Journal Article, 2024

A Non-Wolatile Surface Tension-Driven Electricochemical Liquid Metal Actuator

Xiaohang Chen; Zihan Wang; Wei Yue; Peisheng He; Liwei Lin

Conference Paper (Proceedings), 2024

High-SPL and Low-Driving-Voltage pMUTs by Sputtered Potassium Sodium Niobate

Fan Xia; Yande Xia; Sedat Pala; Ryuichi Arakawa; Wei Yue; Pei-Chi Tsao; Chun-Ming Chen; Hanxiao Liu; Megan Teng; Jongha Park; Liwei Lin

Conference Paper (Proceedings), 2023

Trial-and-Error Learning for MEMS Structural Design Enabled by Deep Reinforcement Learning

Fanping Sui; Wei Yue; Ziqi Zhang; Ruiqi Guo; Liwei Lin

Conference Paper (Proceedings), 2023

Drone-Mounted Low-Frequency pMUTs for > 6-Meter Rangefinder in Air

Hanxiao Liu; Yande Peng; Wei Yue; Seiji Umezawa; Shinsuke Ikeuchi; Yasuhiro Aida; Chunming Chen; Peggy Tsao; Ying Dong; Xiaohao Wang; Liwei Lin

Conference Paper (Proceedings), 2023

Auto-Posting and Haptic Stimulations via a 35mm Square pMUT Array

Wei Yue; Yande Peng; Hanxiao Liu; Fan Xia; Fanping Sui; Seiji Umezawa; Shinsuke Ikeuchi; Yasuhiro Aida; Liwei Lin

Conference Paper (Proceedings), 2023

BPN962: Insect-Scale Flying Robots

Fanping Sui; Kamyar Behrouzi; Wei Yue

BSAC Project Materials (Final/Archive), 2022

Deep Learning for Non-Parameterized MEMS Structural Design

Ruiqi Guo; Fanping Sui; Wei Yue; Sedat Pala; Kunying Li; Renxiao Xu; Liwei Lin

Journal Article, 2022

Designing Weakly Coupled MEMS Resonators with Machine Learning-Based Method

Fanping Sui; Wei Yue; Ruiqi Guo; Kamyar Behrouzi; Liwei Lin

Conference Paper (Proceedings), 2021

Customizing MEMS Designs via Conditional Generative Adversarial Networks

Fanping Sui; Ruiqi Guo; Wei Yue; Kamyar Behrouzi; Liwei Lin

Conference Paper (Proceedings), 2021

All publications

Tags

Liwei Lin (Advisor) topic page