Steven Dai
Portrait of Xiaotian (Steven) Dai
University of York · ReFLEX Lab

Xiaotian (Steven) Dai

Senior Lecturer (Associate Professor) · PI of ReFLEX Lab

Real-Time & Distributed Systems Group
Department of Computer Science
University of York

Office: CSE/136 · Email: xiaotian.dai (at) york.ac.uk

About Me

I am a Senior Lecturer (~Associate Professor) in the Department of Computer Science at the University of York, where I lead the Real-Time and Flexible Cyber-Physical Systems (ReFLEX) Lab within the RTDS Research Group.

My research focuses on modelling, scheduling, and timing analysis for cyber-physical systems, with an emphasis on making safety-critical systems more flexible, adaptive, and predictable. I also develop digital-twin techniques for feedback-driven runtime improvement and specialised hardware designs for real-time and embedded systems. This work has been applied across robotics and autonomous systems, self-driving, avionics, control systems, 5G base stations, and transportation, with a focus on operational safety, robustness, and resilience. You can find more about my research interests and projects on the research page.

Short Bio: I first joined the Real-Time Systems Group at York in 2015 as a PhD student supervised by Prof. Alan Burns, completing my degree in 2019 with a Best Thesis award. Before taking up my lectureship in 2023, I worked as a Research Associate on the MOCHA research project (2019-2023), developing digital-twin and cache-aware scheduling techniques for many-core architectures in next-generation 5G/6G communication base stations, and contributed to the EU Horizon 2020 DEIS project on model-based safety assurance for autonomous and cyber-physical systems.

Track record: I have published over 30 peer-reviewed papers, with more than 600 citations and an H-index of 13 as of 2026. I regularly serve as a Technical Program Committee member and reviewer for leading conferences and journals in real-time embedded systems, robotics, and design automation, and I also act as an external reviewer for UKRI funding.

Other links:


News

  • (paper) Aug 2026: Our paper “PAPS: A Predictable and Adaptive Priority Scheme for Tasks with Variable Data Latency” is accepted at RTSS 2026!
  • (project) Aug 2026: Our proposal on adaptive robotics for XR lighting effects (RAVEN-SCAR) was granted (£20k).
  • (paper) Aug 2026: Two workshop papers “RAVEN: A Latency-Aware Predictive Digital Twin Framework for Humanoid Robotic Cinematography in Virtual Production” and “Adaptive Decentralised Coordination Algorithms for Autonomous Swarm Robots in Planetary Surface Missions” are accepted at TAROS 2026!
  • (paper) Jul 2026: Our paper “Reliable Resource Sharing and Analysis for Multicore Mixed-Criticality Systems” is accepted at IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)!
  • (paper) Jun 2026: Our paper “CAFT-RS: Fault-Tolerant Resource Sharing Protocols with Diverse Preemption Schemes” is accepted at IEEE Transactions on Parallel and Distributed Systems (TPDS)!
  • (paper) May 2026: Our paper “When Memory Matters: An Evaluation of LSTM-Based Multi-Agent Learning for Multi-Intersection Traffic Signal Control” is accepted at ITSC 2026!
  • (paper) Mar 2026: Our paper “Beyond Exact: Tight WCET Analysis of GPU Kernels with Branch Divergence” is accepted at DAC 2026!
  • (service) Feb 2026: Invited as a TPC member of RTCSA 2026.
  • (service) Jan 2026: Invited as a TPC member of EMSOFT 2026.
  • (service) Jan 2026: Invited as a TPC member of RTNS 2026.

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