1163 Mechanical Engineering

UW-ISyE looks forward to welcoming Itai Gurvich from Northwestern University. Dynamic programming is a canonical tool for solving complex sequential decision problems in operations. Yet, because it suffers from the curse of dimensionality, one often must rely on approximations. Among these, deterministic—or “fluid”—approximations have long served as tractable benchmarks that reveal key structural properties of optimal or near-optimal policies in...

UW-ISyE looks forward to welcoming Ann Bisantz, a SUNY Distinguished Professor of Industrial and Systems Engineering at the University at Buffalo, where she also serves as Vice Provost and Dean for Undergraduate Education. US institutions of higher education are large, complex systems affected by both internal and external factors, answering to multiple stakeholders with often conflicting...

With the rapid advances in sensing and communication technologies, most complex systems are continuously monitored by sensors that provide a variety of streaming data with rich information about the system's performance. Monitoring such high-dimensional streaming data in real-time is critical to detect anomalies and system failures. Nonetheless, resource constraints on sensing, computation, and communication make...

From healthcare delivery to resilient power grid management, predictive and prescriptive analytics tools have the potential to improve decision-making for some of today’s most pressing problems, yet their impact is often limited by the technical barriers required to access these tools and to interpret and trust their results. This talk will explore how the synthesis...

As artificial intelligence becomes increasingly embedded in work systems, questions of trust extend beyond whether people accept or rely on algorithms to how humans and AI jointly perform, adapt, and sustain trustworthy decisions over time. In this talk, I present research that frames trustworthiness as a system-level property built through the iterative design, evaluation, and...

Most advances for the integration of 3D printing (3DP) into production settings have focused on small-scale 3DP with manufacturing of components such as aerospace fuel nozzles, aircraft’s hydraulic components, and military hardware to name a few. But when it comes to large-scale applications 3DP research has been minimally explored. Defining large-scale 3DP as additive manufacturing...

Technology is evolving rapidly, and human interaction with autonomous technologies is no longer confined to one-to-one decision-support settings. Intelligent agents are increasingly working alongside groups of people in diverse contexts such as defense, transportation, and manufacturing. Consequently, there is a growing need to design trust- and behavior-aware adaptive agents that allow humans and autonomous systems...

The rapid progress in GPU computing has revolutionized many fields, yet its potential in mathematical programming, such as linear programming (LP), has only recently begun to be realized. This talk aims to provide an overview of recent advancements in GPU-based first-order methods for LP, with a particular focus on the design and development of cuPDLPx....

First-order methods are widely used to tackle data science and machine learning problems with complex structures, such as nonconvexity, nonsmoothness, and stochasticity. However, in many real-world scenarios, the problem structure and parameters can be unknown or ambiguous, creating significant challenges for algorithm design and stepsize selection. In this talk, I will present a novel class...

Assortment and inventory decisions lie at the core of supply chain and retail operations. In practice, these decisions face two fundamental challenges arising from complex customer choice behavior. First, customers often purchase complementary products across categories, which makes category-level decisions interdependent. Second, inventory is limited and customers arrive over time, so product availability changes dynamically...