Iain Bate

About

Iain Bate is a researcher whose work spans real-time systems, multiprocessor scheduling, and swarm robotics, making meaningful contributions to both theoretical and applied computing. His most influential work, "DAG Scheduling and Analysis on Multiprocessor Systems" (2020, 66 citations), addresses the growing complexity of real-time applications by developing rigorous scheduling and analysis frameworks for directed acyclic graph (DAG) task models on multiprocessor platforms — a critical challenge as modern embedded systems demand ever-greater parallelism. Complementing this, his earlier research on timing analysis for systems with complex execution dependencies established novel mathematical approaches to reasoning about task behavior in industrial control and robotic systems. A distinctive strand of Bate's research concerns swarm robotics and adaptive anomaly detection. Drawing on immunological principles, he explored self-organizing error detection mechanisms for robot swarms, producing multiple publications that collectively demonstrate how biologically inspired algorithms can enhance system resilience. His statistical approaches to simulation model validation further reflect a commitment to rigorous, evidence-based methods in embedded systems analysis. With over 130 cumulative citations, Bate's portfolio bridges scheduling theory, dependable systems design, and intelligent robotics — making his work particularly relevant for researchers tackling reliability and performance in complex, safety-critical computing environments.

Research Focus

Key Achievements

Top Papers

1. 1
   DAG Scheduling and Analysis on Multiprocessor Systems: Exploitation of Parallelism and Dependency

   66 citations · 2020
2. 2
   Adaptive data-driven error detection in swarm robotics with statistical classifiers

   28 citations · 2011
3. 3
   An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics

   12 citations · 2009
4. 4
   Timing Analyzing for Systems with Task Execution Dependencies

   10 citations · 2010
5. 5
   A statistical approach to simulation model validation in response-time analysis of complex real-time embedded systems

   6 citations · 2011
6. 6
   Collective Self-detection Scheme for Adaptive Error Detection in a Foraging Swarm of Robots

   5 citations · 2011
7. 7
   Anomaly detection inspired by immune network theory: A proposal

   5 citations · 2009
8. 8
   Timing analyzing for systems with execution dependencies between tasks

   3 citations · 2010
9. 9
   Assessment of trace-differences in timing analysis for Complex Real-Time Embedded Systems

   2 citations · 2011

Key Collaborators

Contact & Links