Ming C. Wu (Advisor)

Research Advised by Professor Ming C. Wu

Johannes Henriksson

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Ming C. Wu (Advisor)
Ph.D. 2025

Johannes graduated from Lund University, Sweden, with a Masters degree in Engineering Physics which also included one year at UCLA as an exchange student. He has work experience from BorgWarner, ON Semiconductor and Lawrence Livermore National Laboratory and Apple. Johannes is currently pursuing his PhD degree in Electrical Engineering and Computer Science at UC Berkeley where he is working with Prof. Ming Wu on MEMS and silicon photonics.

Kyungmok Kwon

Alumni
Electrical Engineering and Computer Sciences
Professor Ming C. Wu (Advisor)
PostDoc 2021

Dr. Kyungmok Kwon graduated from KAIST, Korea, with a Ph.D degree in Electrical Engineering. His research area is silicon-photonics, nanophotonics, nanoengineering and nanomaterial. Kyungmok is currently a postdoctoral researcher in Electrical Engineering and Computer Science at UC Berkeley where he is working with Prof. Ming Wu on MEMS and silicon photonics.

Biomimetic, Polymeric Transistor-Based Biosensor Technology

Jim C. Cheng
Albert P. Pisano
Ming C. Wu
Liwei Lin
2009

The goal of this research is the creation of robust, flexible, polymer sensors and circuits fabricated partially from the low cost biopolymer, chitosan, the deacetylated form of chitin which is the second most abundant polyssacharide in nature. Chitin is found in crustaceans, insects, bacteria and fungi. The sensors will detect diatomic gases and DNA to more complex macro molecules (e.g. exotoxins) in a fluidic or dry environment. Polymer-nanoparticle (e.g. Ge) hybrid films allow for development of robust polymer thin-film transistors and, with optimization of the hybrid film,...

Wafer-Level Integrated Microlens Couplers for Efficient and Scalable Photonic Circuit I/O

Jianheng Luo
Ming C. Wu
2024

Photonic integrated circuits (PICs) hold significant promise in applications such as data center networks, artificial intelligence, high-performance computing, quantum computing, and LiDAR, thanks to their energy efficiency and large communication bandwidth. By leveraging the infrastructure and technologies of conventional CMOS foundries, the development and manufacturing costs of PIC chips are significantly reduced. However, the commercialization of PIC products faces a critical challenge in optical packaging, which currently accounts for three times the cost of the PIC itself. Among...

Efficient 3D Vision for Autonomous Driving

Philip L. Jacobson
Ming C. Wu
2024

Self-driving vehicles have long been envisioned as a massive leap forward in transportation technology. Although several efforts to developing fully autonomous vehicles are currently being undertaken in both industry and academia, so far none have achieved the promise of full self-driving. Of the challenges in building the autonomous software for self-driving cars, one of the most prominent is perception, or the ability for the vehicle to sense the world around it. To meet the requirements for practical deployment onto autonomous vehicles, perception systems must meet four key metrics of...

BPN986: Integrated Microlens Coupler for Photonic Integrated Circuits

Jianheng Luo
Johannes Henriksson
2024

We design and experimentally demonstrate a new silicon photonic fiber coupling method using integrated microlens couplers. Efficient, broadband and polarization-insensitive coupling to a single mode fiber with a best coupling loss of 0.8 dB is achieved.

Project currently funded by: Industry Sponsor

**Project merged with BPNX1012 on 08/14/2024**

BPNX1009: Piezoelectric Silicon Photonic MEMS Switch

Joseph Suh
2024

Integrated silicon photonic switches enable routing of optical signals and real-time reconfiguration of the optical networks in data centers and high performance computers. Reducing the operating voltage while preserving the required switching properties is vital to realize their full potential for real-time routing driven by CMOS electronics. Silicon photonic MEMS switches, based on electrostatic actuation, have employed high voltages because of constraints in mechanical designs aimed at eliminating parasitic effects. On the other hand, recent developments in piezoelectric thin...

Joseph Suh

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Ming C. Wu (Advisor)