Profile Picture of Adrián Moreno (@zetxek), working side by side with a colleague: sitting on a desk, while looking at a screen

I am a Research Fellow at the University of Leeds, working at the intersection of computer architecture and system optimization. My work centers on (1) hardware-assisted memory safety, particularly Capability Hardware Enhanced RISC Instructions (CHERI), and (2) systematic optimization techniques for large language models across both training and inference. My research interests include cloud computing, high-performance cluster management, and critical middleware technologies that enable scalable, reliable, and efficient AI systems.

I have served as a TPDS peer reviewer, Eurosys Shadow PC member, and Publicity Co-Chair for IEEE CISOSE JCC, etc.


I am also the founder of ACE3 AI LTD, a spin-out developing a next-generation cloud platform purpose-built for large AI models. The platform equips AI-driven components with a significantly more efficient and cost-effective way to manage and accelerate their workloads, combining an intuitive, user-centric interface with deeply optimized, high-performance execution and scheduling components. This work translates cutting-edge research (Ph.D. dissertation) into practical infrastructure designed for the demands of modern AI development.

About Me

News

🎉 Nov/2025. Recipient of the HiPEAC 2025 Technology Transfer Award, Poland.
💷 Nov/2025. Awarded further £40K non-diluted Seed funding from AI SuperConnector Programme.
🎉 Mar/2025. ACE3 was selected for showcase demonstration at AI UK 2025, London.
☁️ Sep/2024. Awarded $25K Google Cloud funding support (as PI) for AISC project.
💷 Jul/2024. Awarded £20K non-diluted Seed funding (as PI) from AI SuperConnector Programme Cohort One.
💷 Aug/2024. Co-awarded £16K International Strategy Fund (as CoI) for Joint Research Centre.
💷 Apr/2024. Awarded £389K EPSRC Impact Acceleration Account (IAA) funding (as CoI) to transfer PhD research into a spin-out company ACE3 AI LTD.

Publications

AURANAV: Safety-Centric Navigation through Real-Time Familiarity and Social Awareness
2025 IEEE International Conference on Joint Cloud Computing (JCC)
Sweet or Sour CHERI: Performance Characterization of the Arm Morello Platform
2025 IEEE International Symposium on Workload Characterization (IISWC)
KAIR: A Statistical and Causal Approach to Pinpointing Stragglers in Distributed Model Training
2025 IEEE/ACM International Conference on Automated Software Engineering (ASE) (CCF A) (Industry Showcase)

Experience

My research philosophy focuses on the collaboration of the industry and solving practical problems. Through internships or industry-backed research during the study, I deepened my understanding of real-world applications and developed skills to connect theory with effective actionable solutions. From then on, I concentrated on front-line research with practical impact.

Education

2019 - 2023
University of Leeds, UK
Doctor of Philosophy (PhD) in Computer Science.
Research Areas: Advanced, system-level optimization techniques for large-scale AI and foundation models, e.g., parallelism strategies; as well as high-performance GPU cluster management, including scheduling, resource allocation, distributed system design, and scalable infrastructure operations.
Dissertation: Cost-Effective Acceleration Strategies for Large-Scale Model Training. (been successfully translated into a spin-out company ACE3 AI LTD.)

2015 - 2018
Beihang University, China
Master of Engineering in Computer Science and Technology.
Research Areas: Cloud computing architectures, virtualization technologies, advanced cluster management methodologies, and high-availability failover mechanisms.
Dissertation: Research and Implementation of a Distributed Scheduler for Heterogeneous Workloads. (adopted in Alibaba Cloud Platform, one of the global largest cloud platforms)

Contact

Email

X.Sun4 (at) leeds.ac.uk

Social Links

Address

3.25 Sir William Henry Bragg Building
University of Leeds
Woodhouse
Leeds
LS2 9JT
United Kingdom