Workshop
Power-efficient, real-time edge computing under resource constraints
Edge computing is increasingly required to operate in environments where power, latency, and bandwidth are severely constrained, yet existing AI and data-processing approaches are often designed with cloud assumptions that do not hold at the edge.
This workshop focuses on practical techniques for building edge computing systems that are power-aware, real-time capable, and data-efficient, drawing directly from real deployment experience.
We invite researchers, engineers, and practitioners working in edge computing, embedded systems, AI/ML, and real-time systems to participate in this workshop focused on operating under tight power, latency and bandwidth constraints.
This workshop focuses on practical techniques for building edge computing systems that are power-aware, real-time capable, and data-efficient, drawing directly from real deployment experience.
We invite researchers, engineers, and practitioners working in edge computing, embedded systems, AI/ML, and real-time systems to participate in this workshop focused on operating under tight power, latency and bandwidth constraints.
Workshop topics include but are not limited to:
• Power-aware edge AI and data processing• Real-time and deterministic execution of AI workloads• Pipeline and latency profiling• Data bottlenecks and intelligent data reduction• Edge–server workload partitioning• Event-driven vs continuous processing• Deployment experiences in constrained or remote environments
details
Date: Thursday 19 February 2026
Time: 3pm AEDTLocation: Stone & Chalk at Tech Central, Level 1/477 Pitt Street, Haymarket NSW 2000Duration: 1h30Price: $250 + GST pp
Who Should Attend:
• Edge and embedded system designers• AI/ML engineers targeting constrained platforms• Researchers in real-time and distributed systems• Practitioners deploying AI outside the data centre
format
• Technical talks and guided discussions• Pictorial system illustrations and design walkthroughs• Live edge-to-server demonstration with real measurements• Practical lessons learned from real deployments
Registration
Please register for the workshop. An invoice will be sent to you via email.
What You’ll Gain:
• Practical methods to reduce power and bandwidth consumption• Techniques to achieve predictable, real-time behaviour• Design patterns for efficient AI models and data management at the edge• Insight into trade-offs that matter in real systems
About the facilitator
Dr Tony Scoleri is the co-founder and CEO of AICRAFT, a South Australian company that designs and manufactures low-power onboard AI computers for space and aerospace applications.
Prior to this, he was the Chief Technology Officer at Asension where he contributed to the development of a signal monitoring satellite and payload which was part of the first Australian commercial rocket launch in 2020.
Before moving to the private sector, Dr Scoleri had worked at the Defence Science and Technology (DST) Group for 13 years where he led key research and developments in the areas of National Security, Intelligence, Surveillance, Weapons Systems and Electronic Warfare. In his last role as senior scientist, he managed the R&D for the missile warning system of the F-35 Joint Strike Fighter aircraft.
Tony holds a Ph. D. degree in pure mathematics and computer vision from The University of Adelaide, specialising in numerical methods and algorithm optimisation.
