Kristofer S.J. Pister (Advisor)

Research Advised by Professor Kristofer S.J. Pister

Pister Group:  List of Projects | List of Researchers

Alexander Alvara

Graduate Student Researcher
Mechanical Engineering
Electrical Engineering and Computer Sciences
Professor Liwei Lin (Advisor)
Professor Kristofer S.J. Pister (Advisor)
Ph.D. 2025 (Anticipated)

Alexander Alvara is a final year Ph.D. Candidate in mechanical engineering who earned his 3 BS degrees from UC Irvine '17 concurrently in mechanical engineering, aerospace engineering, and materials science and engineering. Alexander is interested in extreme conditions applications and performance of MEMS devices as well as nanoscale materials engineering that investigates the interplay of materials with electromagnetism and light.

BPN987: A VCO-based Precision Sensing Platform

Yu-Chi Lin
Daniel Lovell
Ali M. Niknejad
Kristofer S.J. Pister
2026

As artificial intelligence and edge computing industries continue to expand, there is a growing demand for adaptive wireless sensors capable of high-precision and low-power data acquisition. Recent studies in sensing interfaces have achieved uV-level precision with uW-level of power per channel. Among various architectures, VCO (voltage-controlled oscillator)-based structure draws attention due to its compact area and scalability with advanced technology nodes. However, inherent VCO nonidealities such as V-F nonlinearity and PVT variations, limit the maximal achievable SNDR and dynamic...

BPNX1048: HelioSwarm - Hardware for the Electron Electrostatic Spectrograph

Amanda Jung
Phyllis Whittlesey
2026

The HelioSwarm mission aims to characterize plasma turbulence, a fundamental process affecting space weather and cosmic phenomena, including interplanetary coronal mass ejections (ICMEs) and corotating interaction regions (CIRs) from the sun. These characterizations will be driven by nine spacecraft—one central hub and eight smaller nodes—for multi-scale, multi-point measurements of solar wind and interplanetary magnetic fields. The Electron Electrostatic Spectrograph will be located on the hub and it is the only direct electron measurement tool in the swarm. This project requires the...

BPNX1035: Six-Axis Control of Electrostatically Levitated Mass

Yichen Liu
Daniel Lovell
Emily Tan
Alexander Alvara
Hani Gomez
Daniel Teal
2026

This project focuses on the design, fabrication, and development of a six-axis electrostatically levitated mass system. While electrostatic levitation has been previously demonstrated, the emphasis here is on achieving a compact form factor (10 cm × 10 cm), reduced power consumption (0.5 W), and increased levitated mass capacity. The proof mass is suspended using a system of actuation electrodes: four top electrodes provide levitation and control of vertical displacement (z-axis) as well as rotation about the x- and y-axes, while six side electrodes control lateral motion (x- and y-...

BPN990: Anti-Drone Radar-Guided Micromissiles

Titan Yuan
Daniel Lovell
Carson Spoo
Cedric Murphy
Jenna Dickman
Asa Garner
Eric Yang
2026

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 meters away.

To effectively and tractably counter hundreds of threats, we...

BPN735: Walking Silicon Microrobots

Yichen Liu
Daniel Lovell
Alexander Alvara
Dang Le
2026

We aim to develop a family of autonomous silicon-based robotic insects that integrate actuation, computation, and power within a single platform. A silicon-on-insulator (SOI) device serves as the foundation, enabling electrostatic actuators that drive silicon linkages fabricated directly in the device layer. Electrostatic actuation provides a key advantage at the microscale, offering low power consumption suitable for energy harvesting and autonomous operation. Computation and communication are enabled by the Single Chip Micro Mote (SCuM, BPN803), while a Zappy2 chip with integrated solar...

BPN803: Single Chip Mote

Daniel Lovell
Titan Yuan
Yu-Chi Lin
Amanda Jung
Kelly Tou
2025

The Single-Chip Micro Mote (SCµM) is an integrated wireless sensor node that pushes the boundaries of system-on-chip integration. A single mote is intended to be fully self-contained and functional when supplied only with a power source, and the on-chip crystal-free radio is designed to comply with BLE and IEEE 802.15.4 wireless personal area network standards. In previous work, SCµM-3C was demonstrated to join an 802.15.4 mesh network running OpenWSN, transmit BLE beacon packets to a cell phone, and perform RF temperature compensation via both initial calibration and calibration-free...

BPNX1047: Single-Chip CMOS+X Piezoelectric Test Vehicle for Wireless IoT

Daniel Lovell
Benjamin Cook
Borivoje Nikolić
Jessica Boles
2025

This project aims to develop a 130 nm mixed-signal CMOS system-on-chip (SoC) Test Vehicle that can subsequently be combined with thin-film piezoelectric materials to create an integrated, single-chip wireless IoT platform. The SoC, which includes a RISC-V microprocessor, a Bluetooth Low-Energy radio, and sensor interface electronics, is designed for minimal power consumption and wide operating voltage range. In addition to these core functions, the CMOS Test Vehicle will feature specialized interface circuits - including a sustaining amplifier for piezoelectric timing oscillators, a...

Yu-Chi Lin

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Kristofer S.J. Pister (Advisor)
Ph.D. 2027 (Anticipated)

Yu-Chi Lin is a third-year Ph.D. student, working with Prof. Ali Niknejad and Prof. Kris Pister, at Berkeley Wireless Research Center (BWRC) and Berkeley Sensor & Actuator Center (...

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.

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