Shohreh Sabaghpour
Strategic Advisor, Cleantech & Innovation
Founder of the Global Cleantech Directory, with experience in cleantech ecosystems, trade, and IP strategy, and an interest in how Physical AI connects to sustainable innovation.
LinkedInMeet the advisors, engineers, and research contributors translating Canadian excellence into deployable physical intelligence.
CPAI unites builders, researchers, and operators to accelerate physical intelligence across robotics, mechatronics, safety tooling, infrastructure, and commercialization pathways.
We operate as a distributed lab network that pairs shared infrastructure with advisory programs, founder services, and translational research.
We support teams deploying physical AI responsibly through high-touch advisory, cohort learning, and field testing.
We publish benchmarks, playbooks, and modular standards to raise the floor for Canadian builders.
Industry, academia, and government partners share pilots and infrastructure to de-risk commercialization.
Canada is rich with talent yet founders face fragmented infrastructure, unclear validation paths, and international competition that ships faster.
CPAI aggregates legitimacy by combining advisors, labs, and translational research under one banner so teams can plug into a credible ecosystem from day one.
Our long-term vision is a national network of physical AI builders who share standards, invest in tooling, and export safety-first innovation worldwide.
Titles reflect roles within the CPAI voluntary ecosystem and do not necessarily imply full-time employment.
Strategic Advisor, Cleantech & Innovation
Founder of the Global Cleantech Directory, with experience in cleantech ecosystems, trade, and IP strategy, and an interest in how Physical AI connects to sustainable innovation.
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Operations Advisor
Telecom industry veteran with a background in operational frameworks, CRM systems, and enterprise-scale processes relevant to growing technical organizations.
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Commercialization & Tech Advisor
CEO of BIDAR, bringing experience in digital innovation, business intelligence, and commercialization pathways for technology-driven initiatives.
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Lead Robotics Engineer
Background in autonomous platforms, machine vision, and end-of-arm tooling, with experience across large technology and ag-tech environments.
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Robotics Systems Engineer
Award-winning technologist with experience at the intersection of deep reinforcement learning and biomechanics, particularly in rehabilitation and control systems.
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Mechanical Systems Engineer
Experience in CFD, mechanical drafting, and physical analysis, with a focus on thermal simulation and hardware system modeling.
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Infrastructure & DevOps
Background in cloud-native infrastructure, security pipelines, and scalable system operations, including IoT-enabled environments.
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Senior Research Fellow, Computer Vision
Research background in computer vision, optical engineering, and machine learning, with experience in advanced segmentation and data-driven perception systems.
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Research Fellow, Energy Systems
Research experience in AI-based control, neural CDEs, and reinforcement learning applied to complex energy and dynamical systems.
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Research Fellow, Deep Learning
PhD candidate at ETS with research interests in geometric deep learning and perception, particularly for 3D and medical imaging applications.
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Academic Fellow, AI & Imaging
Computer Science professor with academic experience in AI, imaging systems, and curriculum development.
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Lead Data Scientist
Background in predictive analytics and data-driven decision systems within industrial and physical system contexts.
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Senior Software Architect
Full-stack software architect with experience modernizing legacy systems and designing microservices-based platforms.
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AI Application Engineer
Experience in NLP, machine learning, and application-level AI systems, including LLM integrations and workflow automation.
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Research Associate
PhD candidate in Electrical and Computer Engineering with research experience in machine learning methods and applied AI systems.
LinkedInCPAI is built on open, responsible collaboration. Every initiative is reviewed by advisors with safety, ethics, and regulatory backgrounds.
We embrace Canadian values of inclusivity while partnering internationally to share standards, document best practices, and publish transparent updates.
Dual-use reviews, compliance pathways, and ethical guardrails are mandatory across cohorts.
We publish templates, APIs, and datasets so partners can replicate and extend our work.
Canadian and international builders share labs, pilots, and procurement knowledge.