Dr Panos Patros
Lecturer in Software Engineering, University of Waikato
Adjunct Professor, University of New Brunswick
- 2018, PhD, University of New Brunswick
- 2014, Diploma in University Teaching, University of New Brunswick
- 2014, Masters in Computer Science (NZQA Level 9), University of New Brunswick
- 2011, Diploma in Informatics and Telecommunications (NZQA Level 7), National and Kapodistrian University of Athens
Phone: +64 7 838 4651
Panos is interested in various aspects of Software Engineering but in particular, Self-Adaptation in Clouds, Language Runtimes and Embedded Systems, focusing on the Testing and Satisfaction of Nonfunctional Requirements. He joined the Department of Computer Science of the University of Waikato in July 2018 as a Lecturer; soon after, he started the Oceania Researchers in Cloud and Adaptive-systems (ORCA) lab. Additionally, he is serving as an Adjunct Professor in the Faculty of Computer Science at the University of New Brunswick in Canada.
Panos received his Bachelors in Informatics and Telecommunications from the University of Athens in 2010. He worked for four years as a Software Engineer, Consultant and Academic Tutor before moving to Canada and the University of New Brunswick for graduate school. He completed his Master's in Computer Science in 2014 and his PhD in 2018, both as a member of the IBM/UNB Centre of Advanced Studies - Atlantic. While in Canada, he taught CS courses (after completing a Diploma in University Teaching in 2014) and participated in industrial R&D projects.
For his BSc thesis, Panos constructed a converter of Conjunctive Grammars (Context-Free plus Intersection) to their respective automata and vice-versa. For his master's thesis, he enhanced the IBM J9 JVM with a tool that measured thread-park contention in the Java Util Concurrent library. For his PhD thesis, he explored numerous performance, modelling and resource allocation issues in the intersection of platform clouds and language runtimes, in a work that also resulted into two patents and four defensive anti-patent disclosures. He is also a member of the Verilog-To-Routing FPGA CAD tool open source community, where he contributes and conducts research related to improved synthesis of circuits for embedded systems.
The Oceania Researchers in Cloud and Adaptive-systems (ORCA) [also known as Ohu Rangahau Kapua Aunoa in Te Reo Māori] lab was founded in 2018 at the Department of Computer Science, University of Waikato. Its mission is to facilitate excellent research in the fields of Self-Adaptive and Self-Organizing software systems focusing on Cloud, Language Runtime and Embedded Systems.
Self-Adaptive Software is an exciting new field merging ideas from traditional Software Engineering and Computer Systems, with Artificial Intelligence (AI), Machine Learning (ML), Control Theory, Data-Driven Control, Game Theory, etc. Its goal is to enable applications to satisfy dynamically changing requirements in a dynamically changing environment.
The ORCA lab is currently comprised of 9 Waikato research students and involves 7 Waikato faculty. Additionally, it maintains active international collaborations with researchers from the UNB/IBM Centre of Advance Studies-Atlantic at the University of New Brunswick, Canada; the Chair of Computer Architecture and Parallel Systems at the Technical University of Munich, Germany; and ASRC Federal in the United States.
- Self-Adaptive and Self-Organizing Systems
- Cloud Computing
- Language Runtimes
- Embedded Systems
- 2018, John DeDourek Award for Best CS Graduate Thesis
- 2018, Excellence in Teaching Award, Faculty of Computer Science, University of New Brunswick
- 2016, IBM CAS Project of the Year (Lead Student), IBM Canada
- 2014-2018, IBM PhD CAS Fellowship, IBM/UNB Centre of Advanced Studies - Atlantic
Current Funded Research Openings
- STRATUS PhD Scholarship on Guaranteeing Self-Organized Backup Systems: $25K/p.a. and tuition fees for three years.
Current Research Students
In Software Engineering
In Computer Science
Past Teaching (University of Waikato)
- COMP301-18B, Operating Systems
- COMP314-18B, Software Engineering Project
Past Teaching (University of New Brunswick)
- Winter 2018, CS1073, Introduction to Computer Programming (in Java)
- Fall 2017, CS1083, Introduction to Computer Programming || (in Java)
- Winter 2016, CS2333, Computability and Formal Languages
- Fall 2015, CS1073, Introduction to Computer Programming (in Java)
- Fall 2014, CS4735, Computer Graphics
Past Funded Research Openings
- STRATUS PhD Scholarship on Cloud Interference Security: $24K/p.a. and tuition fees for three years
- 2018 Summer Research Scholarship $6K. C/C++, OS, SWE skills needed
- 2018, Program Committee, 29th International Symposium on RSP@ESWeek
- 2018-now, International Journal of Cloud Computing (Inderscience)
- 2017, Program Committee, 28th International Symposium on RSP@ESWeek
- 2017, Session Chair, 28th International Symposium on RSP@ESWeek
- 2016, Program Committee, 27th International Symposium on RSP@ESWeek
Zhu, J., Patros, P., Kent, K. B., & Dawson, M. (2018). Node.js scalability investigation in the cloud. In A. Jaramillo, G. -V. Jourdan, D. Petriu, & W. Chen (Eds.), Proc 28th Annual International Conference on Computer Science and Software Engineering (CASCON 2018) (pp. 201-212). Conference held Markham, Ontario, Canada: ACM. doi:10.475/123_4
Legault, J. -P., Patros, P., & Kent, K. (2018). Towards trainable synthesis for optimized circuit deployment on FPGA. In Proc 29th International Symposium on Rapid System Prototyping: Shortening the Path from Specification to Prototype (RSP 2018) (pp. 7 pages). Conference held Torino, Italy: IEEE.
Dawson, M. H., Dilli, D. D., Kent, K. B., Patros, P., & Shipton, P. D. (2018). US 2018/0113684 A1, Dynamically compiled artifact sharing on PAAS clouds.
Patros, P. (2018). Modeling and improving the performance of cloud systems. (PhD Thesis, The University of New Brunswick).
Find more research publications by Panos Patros