Kristofer S.J. Pister (Advisor)

Research Advised by Professor Kristofer S.J. Pister

Alex Moreno

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Kristofer S.J. Pister (Advisor)
Ph.D. 2023
M.S. 2021

Alex Moreno received the B.S.E.E degree from the University of Texas at Dallas in 2017 and his M.S. in EECS from the University of California, Berkeley in 2021. He was awarded the NSF GRFP and UC Berkeley Chancellor's Graduate Fellowship in 2017. His research interests include low power wireless radios, mircorobotics and localization.

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...

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

Wentian Mi
2023

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...

BPN990: Anti-Drone Radar-Guided Micromissiles

Titan Yuan
Asa Garner
Carson Spoo
Cedric Murphy
Eric Yang
2023

Since drones can be flown remotely or autonomously and can navigate dangerous environments without any risk to human operators, they are attractive for military applications, including surveillance, reconnaissance, and combat missions. At the same time, enemy drones pose a growing serious threat to civilians and soldiers. Current anti-drone warfare is either inaccurate, expensive, or large in size, so this project aims to build a low-cost, crayon-sized radar-guided microrocket to target drones up to 100 m away.


A 90 GHz millimeter-wave FMCW radar transmitter
...

BPN985: Multimaterial Nanoscale 3D Printing

Daniel Teal
2023

We propose a new multimaterial 3D printing technique with projected sub-micron resolution. Inorganic nanoparticles (≈1-10nm) of common microfabrication materials are electrically charged, manipulated electromagnetically in vacuum with an ion trap, and shot toward a substrate where they deposit onto a part under construction, similar to PVD methods. To date, we have demonstrated some basic material deposition and are beginning implementation of high-resolution printing. Eventually, this ion printing technology could allow rapid prototyping of integrated circuits and MEMS....

Daniel Lovell

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Kristofer S.J. Pister (Advisor)
Ph.D. 2028 (Anticipated)

Daniel Lovell attended the University of North Georgia and the U.S. Naval Academy before a hiatus to pursue research in industry. During this time, he worked on software and systems for optoelectronics, and developed new applications for optical MEMS in programmable light systems, MEMS mirror-based lidar, robot vision, and human-robot-interaction.

Daniel received his B.A. in Computer Science from UC Berkeley in 2022. He is currently pursuing a Ph.D. in EECS there, with a focus on integrated circuit design.

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...

Lydia Lee

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

Lydia received her B.S. in Electrical Engineering & Computer Sciences from UC Berkeley in 2017. She is currently pursuing a PhD in integrated circuits under the supervision of Prof. Kris Pister and is expected to graduate in 2023.

Lydia's Publications via Google Scholar

Lydia's LinkedIn

BSAC's Best: Fall 2013 Winners Announced

September 19, 2013

BSAC would like to thank the 200 researchers who presented their work in poster or plenary sessions at the Fall 2013 BSAC Research Review on September 18-19.

70 attending industrial members from 34 member organizations voted for the best presentations and posters, resulting in Best Paper and Best Poster awards (certificate and cash).

 Richard Przybyla
Best Paper...