KSIS Lab
Join Us
KSIS Lab welcomes motivated students and collaborators interested in secure computing, intelligent systems, computer architecture, cybersecurity, cryptography, hardware acceleration, and applied AI.
Why Join KSIS Lab
Working in KSIS Lab provides exposure to active research problems spanning secure systems, hardware design, and intelligent computing. Students and collaborators gain hands-on experience from system design and implementation through to experimental evaluation and publication.
- Secure Computer Architecture
- Cybersecurity and Privacy
- Cryptography and Quantum Computing
- Intelligent Systems
- FPGA and GPU Acceleration
- Applied AI
Opportunities
Undergraduate Research
Undergraduate students may participate in lab projects depending on current needs and available supervision. Activities may include:
- Literature review
- Prototype development
- Experiments and data analysis
- Embedded systems / FPGA development
- Python and C++ programming
- Research documentation
Graduate Research (MSc / PhD)
Prospective MSc and PhD students may contact us to discuss possible research directions aligned with lab projects. Possible areas include:
- Secure computer architecture
- Chiplet-based security
- Privacy-preserving systems
- Adversarial machine learning
- Quantum and cryptographic systems
- Applied AI and automation
Collaboration
KSIS Lab is open to academic and industry collaboration on research aligned with our areas of interest. Potential forms of engagement include:
- Academic research collaboration
- Interdisciplinary projects
- Industry and government applied research
- Student project co-supervision
Expected Skills
We welcome applicants from a range of backgrounds. No single background is required — relevant experience in any of the following areas is valued.
Systems and Architecture
- Computer architecture
- Operating systems
- C / C++
- Python
- gem5 or simulation tools
- FPGA / Verilog / hardware design
Security and Privacy
- Cybersecurity fundamentals
- Cryptography
- Privacy-preserving systems
- Secure software design
Intelligent Systems
- Machine learning
- Data analysis
- Embedded AI
- Scientific programming
Research Skills
- Technical writing
- Reading research papers
- Experimental evaluation
- Git / GitHub workflow
How to Apply or Contact Us
Interested students and collaborators are welcome to reach out. When contacting us, please include the following:
- A short introduction and your academic / professional background
- Your CV or résumé
- Transcripts, if you are a student
- A brief description of your research interests
- Relevant skills or prior projects
Important Note
Opportunities depend on current projects, supervision capacity, and available funding. We cannot guarantee positions in advance, but prospective students and collaborators are encouraged to reach out to discuss their interests.