Diarmuid Corcoran
Doktorand
Kungliga Tekniska Högskolanhttps://www.kth.se/profile/diarmuid/
About me
Profile :
Ex Industrial Ph.D. student with a research area focused on intelligent and energy efficient software architectures for LTE and 5G radio systems. Graduated May 2023.
I'm am currently deeply interested in applying state-of-the-art AI techniques such as Deep Reinforcement Learning to solve complex resource management problems.
Software architecture expert at Ericsson AB with broad and deep knowledge building large scale and highly distributed software-intensive systems.
General interests include :
- Software Architectures
- AI and Machine Learning Techniques
- Programming Languages
- Concurrent Programming
- Cloud Architectures for Radio Access Network Infrastructures
Publications and Patents:
- Paper : Data driven selection of DRX for energy efficient 5G RAN. IEEE. DOI: 10.23919/CNSM.2017.8255972
- Chapter contributions to book: Programming Many-Core Chips. Springer. DOI: 10.1007/978-1-4419-9739-5
- Paper: Performance overhead of KVM on Linux 3.9 on ARM Cortex-A15. ACM. DOI: 10.1145/2668138.2668143
- Paper: Autonomous load balancing of heterogeneous networks". IEEE. DOI: 10.1109/VTCSpring.2015.7145712
- Paper: Boosting Model-Driven Engineering of Embedded Systems for Multicore. IEEE. DOI: 10.1109/ITNG.2015.20
- Paper: UML-Based Development of Embedded Real-Time Software on Multi-Core in
- Lessons Learned and Future Perspectives. IEEE. 10.1109/ACCESS.2016.2604018
- Paper: Toward a Tailored Modeling of Non-Functional Requirements for Telecommunication Systems. IEEE. DOI: 10.1109/ITNG.2011.179
- Patent: "Methods, nodes, and system for enabling redistribution of cell load": WO2015199591 A1
- Patent: "Processor Work Distribution": WO 2014003611 A1
- Conference Keynote: Ericsson Modeling Days 2016, Kista, Sweden
- Conference Keynote: ECMFA 2010: Paris, France
Linkedin:https://www.linkedin.com/in/diarmuid-corcoran-a98204/
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