Open and completed research requests

Decision-makers in engineering, policy, economics, and operations often face trade-offs among conflicting objectives, yet method selection remains fragmented across disciplines. This project will produce a structured survey of mathematical methods that support multi-objective decisions, comparing their assumptions, computational behavior, and practical effectiveness. The approach combines a transparent literature-screening protocol with a common evaluation framework spanning solution quality, interpretability, robustness, and scalability. The expected impact is a decision-oriented reference that helps researchers and practitioners choose appropriate methods for specific problem settings and constraints.

LLM-assisted “vibe coding” accelerates software delivery but introduces new attack surfaces beyond traditional secure SDLC risks. This project will build a practical threat model focused on agentic and copilot-style coding workflows, including prompt injection, context poisoning, supply-chain abuse, and secret leakage. We will evaluate mitigation layers spanning prompt hygiene, permissioning, provenance controls, and CI policy gates. The expected impact is a reproducible security playbook and benchmark that organizations can apply to reduce incident likelihood without losing developer productivity.