Information Security & Cryptography
Security systems, adversarial behavior, cryptographic transition, cyber risk, privacy, resilience, and the design of trustworthy technical environments.
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Research
Questions worth investigating. Technologies worth building.
SJIT research brings together technical experimentation, applied investigation, and interdisciplinary inquiry across the technologies reshaping society and industry.
Research at SJIT
Research as a working method, not a ceremonial label.
At SJIT, research is designed to sit close to practice. A question may begin in a security architecture, an AI workflow, a cryptographic dependency, a nanoscale device, an organizational decision, or a regulatory problem. The work becomes research when the question is investigated systematically and the evidence is made useful beyond the original situation.
That makes prototypes, technical reports, evaluation frameworks, experimental tools, datasets, teaching cases, and open technical artifacts legitimate research outputs alongside traditional scholarly publication. The form follows the question; rigor remains the constant.
Research Areas
Six academic domains. Research maturity that can differ by question.
SJIT does not need every College to produce the same kind or volume of research. The stronger model is to let meaningful questions emerge where academic expertise, student interest, and technical opportunity actually intersect.
Artificial Intelligence
Intelligent systems, machine learning, agentic behavior, evaluation, AI safety, engineering practice, and the operational consequences of increasingly autonomous systems.
Quantum Technologies
Quantum information, post-quantum transition, computation, sensing, communications, hardware, and the technical systems that will connect quantum technologies to real infrastructure.
Nanotechnology
Nanoscale materials, devices, measurement, sensing, hardware trust, and emerging questions at the boundary between physical systems and advanced computation.
Technology, Business & Innovation
Technology strategy, decision systems, product and platform models, risk communication, operations, innovation, and how organizations adopt complex technical capabilities.
Technology Law, Governance & Policy
AI governance, privacy, digital regulation, accountability, evidence, cyber policy, and legal frameworks for technologies that evolve faster than traditional institutional processes.
Current Research & Projects
Research becomes visible through the work.
OngoingSecurity + AI
Information Security & Artificial Intelligence
Adversarial Resilience in Agentic AI Systems
An applied security study examining how tool-using AI agents behave when instructions, retrieved content, and connected services contain adversarial input.
Prof. João Góes · 2026 — ongoing
View project OngoingQuantum + Security
Quantum Technology & Cryptography
Post-Quantum Migration Readiness for Internet-Facing Systems
A practical investigation into how organizations can identify cryptographic dependencies, prioritize migration risk, and prepare internet-facing systems for post-quantum transition.
Cross-college research group · 2026 — ongoing
View project CompletedSecurity + Business
Cybersecurity, Business & Decision Systems
Human-Centered Cyber Risk Communication for Small Organizations
A study of how technical security findings can be translated into decision-ready risk narratives for organizations without large dedicated security teams.
Prof. Giovane Martins · 2025 — 2026
View project Research Principles
A research culture designed around disciplined curiosity.
01
Investigate deeply.
Start with a question worth answering, not a predetermined conclusion.
02
Build deliberately.
Use prototypes, experiments, frameworks, and technical artifacts to make inquiry concrete.
03
Publish responsibly.
Document limitations, uncertainty, evidence, and dual-use implications with the same care as results.
04
Apply what we learn.
Bring useful research back into teaching, engineering practice, organizations, and future investigation.
Student Research
Research can begin before a traditional research career does.
Student participation can take the form of supervised investigations, experimental prototypes, technical literature reviews, replication work, security testing, data analysis, research engineering, or contributions to a larger cross-college project.
Join an existing question
Contribute to a defined research project where a faculty lead or research group already has a working methodology.
Propose a project
Bring a technically serious question that can be narrowed into a feasible investigation with appropriate academic guidance.
Build an artifact
Develop a prototype, benchmark, tool, dataset, framework, or experimental environment that creates evidence rather than just an opinion.
Communicate the result
Turn the work into a technical report, presentation, teaching case, repository, or publication when the evidence supports it.
Collaborate with SJIT
Bring us a problem worth investigating together.
Researchers, universities, companies, nonprofits, and public institutions can approach SJIT with research questions, technical problems, datasets, experimental opportunities, or areas where a cross-disciplinary team may be useful.
Propose a research collaboration
Describe the problem, relevant domain, expected contribution, and any constraints or data considerations. The appropriate academic area can then evaluate fit.
Contact SJIT ResearchResearch Projects