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Autonomy & Automation Process Industries

Wed, Sep 30

8 tickets left
CA$31.50Regular

All ticket sales are final

About

A small technical workshop for engineers and operators in safety-critical or energy-intensive systems. Other professionals in the industries below are welcome. Join us if you are curious.

Automation executes decisions made in advance. Autonomy makes decisions inside limits set in advance. We will sit with that distinction on real plant problems people are willing to share: how safe and real-time control signals become measurable business value. Built for intuition. No mathematical or coding background required. Laptops are optional.

This is a private working room limited to 10 people. What we share stays anonymous.

Who this event is for
Engineers, operators, and other professionals working in:
- Oil and gas
- Energy and utilities
- Manufacturing
- Mining
- Process industries
- Robotics
- Transportation
- Infrastructure
- Environmental systems
- Industrial automation
- AI and autonomous systems

Agenda
17:30–18:00 Networking
18:00–18:15 Introduction to automation and autonomous control
18:15–20:15 Workshop
20:15–20:30 Wrap-up

What is included
- Food and soft drinks.
- A three-hour attendance certificate for your professional development record.

Speakers

The voices shaping the conversation

  • Oguzhan Dogru

    ​Oguzhan Dogru, Ph.D., P.Eng., is an Advanced Process Control leader with nearly a decade of experience driving autonomous control and AI-driven transformation across the oil and energy sectors. Most recently, he led Support and Advanced Process Control at CruxOCM, where he owned multi-million-dollar program budgets, led enterprise-scale AI initiatives that saved six to seven figures annually, and delivered 40% faster system startups, 50% fewer incidents, and 90% fewer operator interventions through the control frameworks he architected. His Ph.D. in Chemical Engineering from the University of Alberta laid the foundation for his work in reinforcement learning-based process control under sensory uncertainty, and continues to inform his design of adaptive control systems for complex industrial environments.