We advance silicon‑compatible photonic circuits beyond sensing, targeting quantum photonics and emerging applications in the field of positioning, navigation, and timing (PNT). 

Using SOI and silicon‑nitride platforms, we develop photonic integrated circuits and devices—microrings, slot waveguides, interferometers—with engineered dispersion, low loss, and robust packaging. Activities cover device/circuit co‑design with analog/digital readout, calibration and verification, and system‑level signal acquisition/processing to achieve meaningful limits of detection, fast response times, and cost‑effective, CMOS‑compatible manufacturing.

We conceive, design, experimentally demonstrate, and validate high‑Q all‑dielectric metasurfaces and other resonant nanophotonic devices to enhance light–matter interaction for label‑free sensing and functional imaging. Work spans quasi‑BIC modes, spectral engineering, and field localization, with CMOS‑compatible micro/nanofabrication, optoelectronic instrumentation for signal acquisition/processing, and systematic testing for performance, reliability, and scalability.

We design edge‑AI pipelines and bioelectronic instrumentation—FPGA/SoC/GPU‑based—for real‑time signal acquisition and processing in medical devices. Activities cover hardware–software co‑design, programming of embedded electronic systems, analog/digital interfacing, and closed‑loop control, with emphasis on verification, explainability, safety, reliability, and sustainability.

Wearable and connected eHealth systems integrate sensors, low‑power electronics, secure communications, and edge/cloud services to acquire, transmit, process, and represent physiological signals. We address control, actuation, and monitoring, energy‑aware operation and power management, and data quality. Applications include sleep and posture monitoring, rehabilitation, and preventive care, interoperable with medical decision‑support systems. 

We develop point‑of‑care diagnostic platforms and non‑invasive breath‑analysis systems that combine photonics with chemical transduction. Architectures integrate electrochemical gas sensors, micro‑/nano‑systems, fluidics, and calibration models, with instrumentation for signal acquisition, processing, and representation. The goal is rapid, low‑cost screening and monitoring aligned with clinical workflows, enabling early detection and longitudinal assessment in decentralized settings 

We investigate advanced radar and RF signal processing on FPGA/SoC platforms, including adaptive detection, clutter suppression, compressive acquisition, and multi‑sensor fusion. Methods address the generation, acquisition, processing, and representation of signals under low‑size‑weight‑power constraints. Implementations emphasize reliability and real‑time performance for situational awareness, spectral monitoring, and cooperative operations. 

We develop algorithms and tools for passive geolocation of radio emitters, optimizing constellation geometry and tracking performance. Research spans AoA/ToA models, PDOP analysis, and rigorous time‑delay error modeling—including relativistic and atmospheric effects—across microwave and millimeter‑wave bands. Outcomes guide satellite placement, observation scheduling, and real‑time estimation strategies for resilient space‑based surveillance. 

We conceive, design, and test on‑board computing architectures that accelerate image and signal processing in orbit. Leveraging FPGA/SoC platforms and heterogeneous acceleration, we implement deterministic software stacks and robust C&DH while addressing radiation effects, fault tolerance, and tight power budgets. Focus areas include high‑throughput acquisition/processing and autonomous operations for CubeSats and small spacecraft.