SECURITY AND OPTIMIZATION OF STOCHASTIC SYSTEMS (SOPSS) LAB

Our work investigates how intelligent agents interact within stochastic systems when their motivations conflict and remain mutually unknown. This problem appears across optimization and security challenges in computational, biological, and socio-economic environments.

At SOPSS Lab, we focus on several interconnected areas of computational science:

• Machine learning
• Mathematical modeling
• Information theory
• Algorithm design and analysis for learning and optimization
• Development of optimization, security, and recommendation systems

Our research combines theoretical foundations with practical applications, addressing real-world challenges where uncertainty and competing interests shape system behavior.

Projects

• Game based Security Architecture (GSA)
• Moving Target defense (Mechanism Design/ Game theory)
• Recommendation System for Crowdsourcing
• Security and Route Optimization in the Intelligent transportation System
• Game-theoretic modeling of cancer cells behavior
• Security in Cloud Based System and Internet of Things
• Game theoretic modeling of linguistic interaction
• Problems in Algorithmic Game Theory

Members

Doctoral Students

• Melvin Paulkamara
• Joseph Tholley 

Master's Student

• Praise Ben