Michel M. Maharbiz (Advisor)

Research Advised by Professor Michel M. Maharbiz

Wentian Mi

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Michel M. Maharbiz (Advisor)
Professor Kristofer S.J. Pister (Advisor)
Ph.D. 2024 (Anticipated)

BPN924: Multimodality Platform for Neurogenesis and Neural Signal Recording After Stroke

Wentian Mi
2024

Stroke is a leading cause of disability in the United States. Recovery from stroke is complex and ultimately limited by the brains limited ability to regenerate damaged tissue. Ideally, we would want to drive neurogenesis and angiogenesis in a stroke lesion to aid in recovery. We propose a multimodality platform for stimulating neurogenesis which simultaneously allows for electrophysiological recording of neurons in the lesion area after stroke. Our aim is to provide a paradigm for making complex substrates for nervous tissue. With various devices integrated, multiple functions can be...

Hydrogel Actuated Carbon Fiber Microelectrode Array

Oliver Chen
Michel M. Maharbiz
Kristofer S. J. Pister
2023

Glial passivation and subsequent electrical insulation of implantable microelectrodes is a major bottleneck for long-term viability of neural probes. Self-deploying microelectrodes have been developed to minimize glial scarring and adverse biological effects near neural recording sites, but typically suffer from low electrode densities and deployment distance.

In this dissertation, we propose and evaluate a large displacement, self-deploying architecture using a water absorbing hydrogel to extrude a high density carbon fiber array out of a microfabricated shuttle. To enable mm-scale...

Mauricio J. Bustamante

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Michel M. Maharbiz (Advisor)
Professor Kristofer S.J. Pister (Advisor)
Ph.D. 2023

BPN970: Rotary Inchworm Motor for Underwater Microrobot Propulsion

Mauricio J. Bustamante
2023

Autonomous swimming microrobots for biomedical applications and distributed sensing require locally controllable swimming mechanisms. This project aims to develop underwater, rotary electrostatic inchworm motors for artificial flagella. Our proposed design uses gap closing actuators with an angle arm design, similar to existing inchworm motors, to drive a central rotor, all fabricated with an SOI process. An artificial flagella is attached the rotor, converting the rotational motion into propulsion. Major challenges include efficient operation of electrostatic motors underwater and...

An Implantable Radiation Detector for Cancer Radiotherapy

Kyoungtae Lee
Michel Maharbiz
2023

This dissertation presents a millimeter-scale CMOS 64x64 single charged particle radiation detector system for cancer radiotherapy; this work is applicable to therapies including external beam radiotherapy (EBRT), targeted radionuclide therapy (TRT), and brachytherapy. We demonstrate 1 um x 1 um diode pixels capable of measuring energy deposition into a depletion region by single charged particles. These pixels can be arrayed to provide large detection areas; we demonstrate a 512 um x 512 um array. Instead of sensing the voltage drop caused by radiation, the system measures pulse...

Optical Voltage Sensing: Micro- to Kilo-Scale

Jordan Edmunds
Michel M. Maharbiz
2023

Detection of electrical neural activity has been possible for almost a century. Despite the progress in the last century, neural recording technologies remain fundamentally constrained in their scale by the power they are able to dissipate. As channel counts have increased, and electrodes have grown flexible and microscale, connectorization to neural recording circuits has become ever more challenging. All-optical neural recording technologies hold the promise to eliminate these barriers. However, until this point, it has been impossible to quantitatively compare existing electrical...

Oliver Chen

Alumni
Electrical Engineering and Computer Sciences
Professor Michel M. Maharbiz (Advisor)
Professor Kristofer S.J. Pister (Advisor)
Ph.D. 2022

Oliver graduated with the B.S. degree in Electrical Engineering from the California Institute of Technology in 2016. He is currently working on hydrogel actuated carbon fiber microelectrode arrays in as an EECS PhD student at the University of California, Berkeley with Prof. Michel Maharbiz. He is a recipient of the NSF Graduate Research Fellowship.

Oliver is interested in biomedical device technology related to both systems-level design and MEMS devices. This includes microfabrication and implementation of implantable devices, in particular, neural probes for brain-machine...

Jordan L. Edmunds

Alumni
Electrical Engineering and Computer Sciences
Professor Michel M. Maharbiz (Advisor)
Ph.D. 2022