Low-noise acquisition
Chopper-stabilized and noise-efficient amplifiers for dense sensing arrays.
Analog & Bio-Integrated Circuits Lab
Research that brings medicine closer to the patient.
Analog and mixed-signal integrated circuits that sense, stimulate, and power the next generation of medical devices — and the AI systems behind them.
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What we've built
Our work.
ABIC-01
BIOMED SoC
[UNIV] 2026
BIOMED SoC
[UNIV] 2026
Peer-reviewed circuits and systems — from sub-microwatt neural front-ends to high-density power delivery for AI compute. Open the chip: each block of the die maps to a research thread and its papers.
▸ Select a die block, Applications, or Tools to see related papers
Related papers
Block
Low-noise interfaces that acquire weak physiological and electrochemical signals within strict power budgets.
Precision data conversion
Energy-efficient ADCs spanning neural recording and bio-impedance spectroscopy.
Adaptive sensing
Front ends that track changing electrodes, backgrounds, and signal conditions.
Papers in analog front end
ISSCC 2026
A 0.8-µW chopper-stabilized neural recording front-end with 1.9 µVrms noise
A. Student, B. Student, R. Collaborator, P. I.
JSSC 2025
A 12-bit 2-MS/s ΔΣ ADC for bio-impedance spectroscopy
C. Student, P. I.
CICC 2024
Sub-µW spike-detection AFE with adaptive thresholding
B. Student, K. Collaborator, P. I.
TBME 2023
A wearable neural-interface platform for multimodal closed-loop experiments
A. Student, Dr. Mira Chen, Prof. Luis Ortega, P. I.
Always-on voltage, current, and timing references built for low energy and dependable operation.
Voltage and current references
Nanowatt bias and bandgap circuits with low temperature drift.
Crystal-less timing
Compact clock references that reduce component count in miniature systems.
Always-on operation
Reference circuits designed around long-lived implant and sensor duty cycles.
Papers in on-chip references
VLSI 2026
A 32-nW bandgap reference with 8-ppm/°C drift for implantables
D. Student, P. I.
JSSC 2024
A crystal-less clock reference with ±50-ppm accuracy over temperature
D. Student, E. Student, P. I.
Event-driven processors and accelerators that turn sensed data into timely local decisions.
Event-driven compute
Processors that wake and work only when the signal demands attention.
Efficient inference
Mixed-signal and digital acceleration for tightly constrained edge systems.
Closed-loop control
Low-latency processing paths from detection to therapeutic response.
Papers in digital processing
ISSCC 2025
An event-driven RISC-V co-processor for on-implant seizure detection
E. Student, P. I.
ESSCIRC 2024
A 28-nm mixed-signal ML accelerator for closed-loop neuromodulation
F. Student, P. I.
TBME 2023
A wearable neural-interface platform for multimodal closed-loop experiments
A. Student, Dr. Mira Chen, Prof. Luis Ortega, P. I.
Integrated conversion and delivery circuits for miniature medical systems and demanding compute loads.
Integrated regulation
Fast, efficient voltage regulation close to dynamic loads.
Charge recycling
Switched-capacitor architectures that recover otherwise lost energy.
Wireless power
Miniature receivers and regulation chains for implanted and ingestible devices.
Papers in power delivery
ISSCC 2026
A 94%-efficient integrated voltage regulator with sub-µs transient response for AI accelerators
G. Student, P. I.
APEC 2025
A multiphase switched-capacitor DC-DC converter with on-die charge recycling
G. Student, H. Student, P. I.
TBioCAS 2024
mm-scale wireless power receiver for ingestible sensors
C. Student, P. I.
TPEL 2023
Package-aware co-design of high-density integrated power converters
G. Student, Dr. Samira Rao, H. Student, P. I.
System-level platforms that carry our circuits into sensing, therapy, and efficient compute.
Implantable interfaces
Low-power sensing and stimulation close to the body.
Distributed biosensing
Wearable and ingestible platforms for continuous measurements.
Intelligent compute platforms
Energy-aware electronics from edge inference to AI power delivery.
Papers in applications
ISSCC 2026
A 0.8-µW chopper-stabilized neural recording front-end with 1.9 µVrms noise
A. Student, B. Student, R. Collaborator, P. I.
ISSCC 2026
A 94%-efficient integrated voltage regulator with sub-µs transient response for AI accelerators
G. Student, P. I.
JSSC 2025
A 12-bit 2-MS/s ΔΣ ADC for bio-impedance spectroscopy
C. Student, P. I.
ISSCC 2025
An event-driven RISC-V co-processor for on-implant seizure detection
E. Student, P. I.
CICC 2024
Sub-µW spike-detection AFE with adaptive thresholding
B. Student, K. Collaborator, P. I.
ESSCIRC 2024
A 28-nm mixed-signal ML accelerator for closed-loop neuromodulation
F. Student, P. I.
TBioCAS 2024
mm-scale wireless power receiver for ingestible sensors
C. Student, P. I.
TBME 2023
A wearable neural-interface platform for multimodal closed-loop experiments
A. Student, Dr. Mira Chen, Prof. Luis Ortega, P. I.
Design, integration, and measurement capabilities that carry integrated systems from models to validated silicon.
Design and simulation
Schematic, layout, modeling, verification, and automation.
Silicon and integration
Tapeout, packaging, boards, and system-level prototyping.
Measurement and characterization
Automated bench testing, probing, and waveform analysis.
Papers in tools
VLSI 2026
A 32-nW bandgap reference with 8-ppm/°C drift for implantables
D. Student, P. I.
APEC 2025
A multiphase switched-capacitor DC-DC converter with on-die charge recycling
G. Student, H. Student, P. I.
JSSC 2024
A crystal-less clock reference with ±50-ppm accuracy over temperature
D. Student, E. Student, P. I.
TPEL 2023
Package-aware co-design of high-density integrated power converters
G. Student, Dr. Samira Rao, H. Student, P. I.
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The people behind the circuits
Meet our team.
A group of circuit designers, device physicists, and clinicians-in-collaboration working across the analog/digital boundary. Get to know the PI, students, and alumni.
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From the lab
Follow us.
Notes on circuit design, bioelectronics, and the road from silicon to the clinic — plus lab news and milestones.
Work with us
Join our group.
We're looking for curious students and researchers who want to build circuits that matter. See open positions and how to apply.