News & Events
Understanding and controlling the process–structure–property relationship is central to advancing manufacturing. This talk presents AI/ML methods that study manufacturing processes and material properties through physically meaningful intermediate representations.
The framework of multi-agent game-theoretic learning explores how individual agent strategies evolve in response to the strategies of others. A central question is whether these evolving strategies converge to classical solution concepts, such as Nash equilibrium.
Strategic Sharing Under Disruption
Understand Participation of Competing Firms in Supply Chain Information Sharing Under Disruption
Share when coordination gains outweigh competitive exposure.
We study the integrality gap of convex mixed-integer programs, that is, the difference between the optimal value of such a problem and the optimal value of its continuous relaxation. We study classes of convex sets whose associated optimization problem have finite integrality gap: Dirichlet convex sets, sets with full-dimensional recession cones and sets that can be approximated by polyhedral sets. In the latter two cases, we provide estimates for the value of the integrality gap.
What does it mean, in the 21st century, to answer Rensselaer's founding directive of applying science to the common purposes of life through rigorous mathematics and algorithms? Historically, mathematical optimization has focused on minimizing costs, reducing time, or maximizing profits. Yet, as sociological patterns evolve and our communities grow ever more complex, leaders across the public and social sectors face increasing challenges that exceed traditional capabilities.
The framework of multi-agent game-theoretic learning explores how individual agent strategies evolve in response to the strategies of others. A central question is whether these evolving strategies converge to classical solution concepts, such as Nash equilibrium.
This talk adopts a control-theoretic perspective by recognizing that learning agents interacting with one another form a feedback system. Learning dynamics are modeled as open dynamical systems that map payoffs, regardless of their source, into strategy updates, while the game itself provides the feedback interconnection.
Nonprofit organizations historically struggle with underfunding, scarce resources, and even identifying what physical, human, social, and financial capital they already have.
The Industrial and Systems Engineering (ISE) Department was proud to participate in the RPI Fall Open House on Sunday, October 4, 2026. The event brought hundreds of prospective students and their families to campus to explore academic programs and experience life at Rensselaer Polytechnic Institute.
The ISE Department recently celebrated Mid Autumn Festival with our undergraduate and graduate students, faculty, and staff. The department listened to music, ate delicious snacks, and enjoyed each other’s company. We plan to have more cultural celebrations in the future!
We are seeking highly motivated RPI undergraduate students to join the OASIS Initiative. These positions are paid hourly positions. We need two strong undergraduate programmers and one or two SWAP Onboarding and Community Coordinators. Please see the job posting (Part-Time Student Developers) and (SWAP Onboarding and Community Coordinators) for further information and for the link to apply.
