We focus on
Pioneering a holistic approach to neuromorphic intelligence, from memristive circuit design and spiking neural algorithms to evolutionary system adaptation.
Exploring the frontier of electronic design
Our research centers on analog and mixed-signal circuit design, where the physical properties of devices become the heart of computation. We rethink how circuits are built, especially on emerging devices like memristors to offer new ways to process information.
Our work bridges device physics, circuit topology, and novel learning algorithms, with a constant eye toward energy-efficient and brain-inspired hardware.
Research themes
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Memristor-based neural circuits — compact pulse generators, neuron oscillators, and synaptic weighting elements that form the building blocks of hardware reservoir computing systems.
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Automated circuit synthesis — evolutionary algorithms and genetic programming that co-optimize topology and component values, automatically discovering compact, power-efficient structures (e.g., single-memristor relaxation oscillators) that outperform manual designs.
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Hardware for reservoir computing — physical reservoirs that process temporal signals in the analog domain for classification, prediction, and generation at minimal power, enabling real-time edge intelligence.
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Simulation-to-silicon verification — rigorous validation from device modeling and SPICE simulation across process corners, through physical layout (GDSII) and tape-out, to silicon measurement that refines both models and design methods.
Bridging biology and silicon for efficient intelligence
Our research develops algorithms and software frameworks that bridge brain-inspired computing models with novel hardware. We create tools for designing, explaining, and optimizing spiking neural networks and memristive reservoir computing systems, enabling efficient learning and adaptation.
Our work intersects with embedded systems, healthcare, and robotics, targeting real-world applications at the edge.
Research themes
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Memristive Spiking Neural Networks — heterogeneous neuron models capturing diverse temporal dynamics for real-time sensory processing and control.
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Evolutionary Reservoir Design — frameworks that automatically configure memristive reservoirs to task requirements without manual tuning.
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Explainable Reservoir Computing — methods to interpret memristive reservoir decisions by evolving feature attribution, making hardware learning transparent and trustworthy.
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Automated Circuit Synthesis Tools — genetic programming pipelines that co-design novel analog topologies and component values, including memristor-based pulse generators.
Inspired design through evolution
We develop evolutionary algorithms that automatically discover novel hardware architectures and learning systems, often outperforming manually engineered counterparts in compactness, energy efficiency, and transparency.
Our methods tackle the interplay of topology, parameters, and device variability to produce unconventional, interpretable solutions beyond black-box optimization.
Research themes
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Genetic circuit synthesis — co-optimization of analog circuit topology and component values using custom genetic programming, yielding unconventional designs like single-memristor oscillators.
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Evolved memristive reservoirs — evolutionary search configures reservoir dynamics directly for temporal tasks, eliminating manual tuning and revealing high-performance, task-specific architectures.
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Explainable reservoir computing — evolutionary feature attribution methods reveal how memristive reservoirs make decisions, turning black-box learning into interpretable models.
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Tailored algorithms — mixed-variable, multi-objective evolutionary strategies built specifically for hardware design spaces where topology, continuous parameters, and device variability interact.
No red tape, just research
Got an idea? We've got the tools, the lab, and the people to help make it happen.
Have an idea
Bring your curiosity. If it involves memristors, circuits, or brain-inspired computing, we want to hear it.
Use our resources
Simulation frameworks, measurement setups, fabrication runs — everything's here for you to dive in.
Ask for help
Stuck? That's normal. We figure things out together — no question is too small.