The Systems Research Group actively seeks collaborations with academic institutions, industry partners, and public sector organizations. Our goal is to advance the state of the art in systems research while addressing real-world challenges through impactful, reproducible, and scalable solutions.
Areas of Collaboration
- Operating Systems and Systems Engineering
Kernel design, resource management, performance optimization, and system instrumentation - Distributed Systems and Cloud Computing
Fault tolerance, consensus protocols, large-scale data systems, microservices, and cloud-native architectures - Computer Networks
Network measurement, software-defined networking (SDN), network security, and high-performance networking - Systems Security
Secure system design, vulnerability analysis, trusted execution environments, and privacy-preserving systems - High-Performance Computing (HPC)
Parallel computing, workload scheduling, performance tuning, and scalable infrastructure - Explainable and Reliable Systems
System observability, debugging, and interpretability in complex system behavior
Modes of Collaboration
1. Research Partnerships
- Joint research projects leading to publications in top-tier venues
- Co-supervision of graduate students
- Development of novel systems, prototypes, or frameworks
2. Industry Collaboration
- Application of systems research to real-world production environments
- Performance optimization and system design consulting
- Joint development of tools, platforms, or infrastructure
3. Academic Collaboration
- Inter-university research initiatives
- Visiting researchers and exchange programs
- Joint grant proposals and funded research projects
4. Student Engagement
- Thesis and capstone project collaboration
- Internship and research assistantship opportunities
- Mentored participation in ongoing research projects
Available Resources
Collaborators may gain access to the group’s research infrastructure, including:
- Compute and experimental platforms (e.g., HPC clusters, distributed testbeds)
- Containerized lab environments for reproducible experimentation
- Curated datasets and benchmarking tools
- Established research workflows and engineering practices
Access is subject to project scope, availability, and institutional policies.
Expectations from Collaborators
- Align with the group’s commitment to research integrity and reproducibility
- Contribute actively to project goals and timelines
- Adhere to agreed-upon authorship, data management, and IP policies
- Participate in regular coordination meetings and progress reporting
Getting Started
Potential collaborators are encouraged to initiate discussions by providing:
- A brief description of the proposed collaboration
- Relevant background or prior work
- Expected outcomes and timeline
- Resource requirements (if any)
Contact: Please send your collaboration proposal or expression of interest to jchermocilla@up.edu.ph.