{"id":30,"date":"2024-07-08T11:28:23","date_gmt":"2024-07-08T15:28:23","guid":{"rendered":"https:\/\/carleton.ca\/share\/?page_id=30"},"modified":"2026-08-27T18:34:04","modified_gmt":"2026-08-27T22:34:04","slug":"research","status":"publish","type":"page","link":"https:\/\/carleton.ca\/share\/research\/","title":{"rendered":"Research"},"content":{"rendered":"
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SHaRe Lab<\/div>\n

Research<\/h1>\n

We develop models, architectures, and hardware systems for neuromorphic computing, intelligent hardware, Physical AI, emerging circuits, and hardware trust.<\/p>\n<\/section>\n

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Our Research Framework<\/h2>\n

SHaRe connects three levels of research rather than treating algorithms and hardware as separate activities.<\/p>\n

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1<\/div>\n

Models & Algorithms<\/h3>\n
Neuron models, SNNs, learning, signal processing, event representations, bio-inspired dynamics, and hardware-aware computation.<\/div>\n<\/div>\n
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2<\/div>\n

Architectures & Hardware<\/h3>\n
FPGA, ASIC, RISC-V, embedded, mixed-signal, memristive, and memory-centric architectures.<\/div>\n<\/div>\n
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3<\/div>\n

Physical Systems<\/h3>\n
Event-driven sensing, robotics, biomedical signals, communications, autonomous platforms, and near-sensor intelligence.<\/div>\n<\/div>\n<\/div>\n
Core philosophy:<\/strong> a research idea is most valuable when we understand both its computational behavior and the cost of realizing it in hardware.<\/div>\n<\/section>\n
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1. Neuromorphic Computing<\/h2>\n

Brain-inspired computation from neuron dynamics to scalable architectures.<\/p>\n

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Spiking Neural Networks<\/h3>\n
Architectures, learning, coding, recurrent networks, temporal processing, and hardware-efficient SNN models.<\/div>\n<\/div>\n
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Neuron & Synapse Models<\/h3>\n
LIF, Izhikevich, AdEx, Hodgkin\u2013Huxley, resonate-and-fire, map-based neurons, nonlinear dynamics, and plastic synapses.<\/div>\n<\/div>\n
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Neuromorphic Architectures<\/h3>\n
Scalable event-driven compute fabrics, routing, memory organization, heterogeneous accelerators, and distributed systems.<\/div>\n<\/div>\n<\/div>\n<\/section>\n
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2. Intelligent Hardware<\/h2>\n

Specialized architectures for efficient AI, signal processing, and domain-specific computation.<\/p>\n

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FPGA & RTL<\/h3>\n
Pipelining, parallel datapaths, fixed-point arithmetic, memory hierarchy, high-speed interfaces, verification, and hardware-aware optimization.<\/div>\n<\/div>\n
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ASIC & AI-on-a-Chip<\/h3>\n
Custom digital architectures, low-power data movement, specialized arithmetic, on-chip memory, accelerator integration, and silicon implementation.<\/div>\n<\/div>\n
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RISC-V & HW\/SW Co-Design<\/h3>\n
Custom instructions, tightly coupled accelerators, memory-mapped IP, DMA, embedded control, and software-visible neuromorphic hardware.<\/div>\n<\/div>\n<\/div>\n<\/section>\n
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3. Physical AI & Event-Based Sensing<\/h2>\n

Intelligence operating in a real-time loop with the physical world.<\/p>\n

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Event-Based Vision<\/h3>\n
Event cameras, optical flow, sparse temporal processing, SNN perception, and low-latency FPGA acceleration.<\/div>\n<\/div>\n
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Near-Sensor Intelligence<\/h3>\n
Processing close to sensors to reduce bandwidth, latency, memory traffic, and energy.<\/div>\n<\/div>\n
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Robotics & Autonomous Systems<\/h3>\n
Embedded intelligence, sensing, control, adaptive hardware, and real-time decision-making for physical systems.<\/div>\n<\/div>\n<\/div>\n<\/section>\n
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4. Emerging & Bio-Inspired Circuits<\/h2>\n

Alternative devices, circuits, and dynamical systems for future intelligent hardware.<\/p>\n

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Mixed-Signal Neuromorphic Circuits<\/h3>\n
Analog\/digital neuron and synapse circuits, event interfaces, nonlinear dynamics, robustness, and circuit-level efficiency.<\/div>\n<\/div>\n
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Memristive & In-Memory Computing<\/h3>\n
Emerging devices, compact models, device non-idealities, synaptic behavior, and memory-centric computing.<\/div>\n<\/div>\n
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Bio-Inspired Dynamics<\/h3>\n
Central pattern generators, oscillators, coupled systems, biologically plausible models, and hardware realizations.<\/div>\n<\/div>\n<\/div>\n<\/section>\n
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5. Hardware Security & Trust<\/h2>\n

Trustworthy architectures for increasingly autonomous computing systems.<\/p>\n

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Hardware Roots of Trust<\/h3>\n
Secure boot, device identity, PUFs, cryptographic hardware, lifecycle controls, and attestation.<\/div>\n<\/div>\n
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Runtime Trust Monitoring<\/h3>\n
Hardware-level observation, anomaly detection, independent monitoring, and resilient platform architectures.<\/div>\n<\/div>\n
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Trustworthy AI Hardware<\/h3>\n
Verification, fault resilience, secure accelerators, adversarial robustness, and assurance for intelligent embedded systems.<\/div>\n<\/div>\n<\/div>\n<\/section>\n
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See the research in practice<\/h2>\n

Our Projects page connects these research themes to specific platforms, datasets, prototypes, publications, and student work.<\/p>\n

Explore Projects<\/a>View Publications<\/a><\/p>\n<\/section>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

SHaRe Lab Research We develop models, architectures, and hardware systems for neuromorphic computing, intelligent hardware, Physical AI, emerging circuits, and hardware trust. Our Research Framework SHaRe connects three levels of research rather than treating algorithms and hardware as separate activities. 1 Models & Algorithms Neuron models, SNNs, learning, signal processing, event representations, bio-inspired dynamics, and […]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"yoast_head":"\nResearch Areas | SHaRe Lab, 杏吧原创 University<\/title>\n<meta name=\"description\" content=\"Research areas at SHaRe Lab: spiking neural networks, bio-inspired computing, neuromorphic sensing, hardware security, and physical AI hardware.\" \/>\n<meta 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