Canadian Physical AI institute

Builders & Contributors shaping Canada’s Physical AI ecosystem

Meet the advisors, engineers, and research contributors translating Canadian excellence into deployable physical intelligence.

About CPAI

Who we are & what we build

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.

Human-centered builders

We support teams deploying physical AI responsibly through high-touch advisory, cohort learning, and field testing.

Open, applied research

We publish benchmarks, playbooks, and modular standards to raise the floor for Canadian builders.

Partnership-first

Industry, academia, and government partners share pilots and infrastructure to de-risk commercialization.

Our Story

Why CPAI exists

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.

Meet the builders powering CPAI

Our First Cohort Team & Community

Titles reflect roles within the CPAI voluntary ecosystem and do not necessarily imply full-time employment.

Strategic operators expanding CPAI’s reach

The Advisory Council

Shohreh Sabaghpour

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.

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Robert Castracane

Robert Castracane

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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Mohammad Nadi

Mohammad Nadi

Commercialization & Tech Advisor

CEO of BIDAR, bringing experience in digital innovation, business intelligence, and commercialization pathways for technology-driven initiatives.

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Autonomy, control, and mechanical innovators

Engineering & Robotics Lab

Mahdi Kazemi

Mahdi Kazemi

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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Mahdi Sarfarazi

Mahdi Sarfarazi

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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Nima Mohammadzadeh

Nima Mohammadzadeh

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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Jason Jafari

Jason Jafari

Infrastructure & DevOps

Background in cloud-native infrastructure, security pipelines, and scalable system operations, including IoT-enabled environments.

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Scholars pushing physical AI science

Research Contributors

Alireza Akbarzadeh

Alireza Akbarzadeh, PhD

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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Mahdieh Adib

Mahdieh Adib, PhD

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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Kaveh Moradkhani

Kaveh Moradkhani, PhD

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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Aarizou Kawther

Aarizou Kawther, PhD

Academic Fellow, AI & Imaging

Computer Science professor with academic experience in AI, imaging systems, and curriculum development.

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Software and data backbone builders

Software & Data Contributors

Elijah Behizadi

Elijah Behizadi

Lead Data Scientist

Background in predictive analytics and data-driven decision systems within industrial and physical system contexts.

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Ramin Orak

Ramin Orak

Senior Software Architect

Full-stack software architect with experience modernizing legacy systems and designing microservices-based platforms.

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Hetvi Sodha

Hetvi Sodha

AI Application Engineer

Experience in NLP, machine learning, and application-level AI systems, including LLM integrations and workflow automation.

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Hojat Asgariandehkordi

Hojat Asgariandehkordi, PhD

Research Associate

PhD candidate in Electrical and Computer Engineering with research experience in machine learning methods and applied AI systems.

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Governance & Principles

Our commitments

CPAI 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.

Safety & Risk

Dual-use reviews, compliance pathways, and ethical guardrails are mandatory across cohorts.

Open Standards

We publish templates, APIs, and datasets so partners can replicate and extend our work.

Networked Collaboration

Canadian and international builders share labs, pilots, and procurement knowledge.