Colloquium

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...

In contemporary machine learning, realistic models exhibit increasing nonconvexity and overwhelming overparameterization. This nonconvex nature often leads to numerous undesirable or "spurious" local solutions, while overparameterization exacerbates the risk of overfitting. Yet, simple “short-sighted” algorithms, such as gradient descent (GD) or its variants, often find the needle in the haystack: they converge to the correct,...

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...

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...

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...

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...

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...

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 Pinar Keskinocak from Georgia Tech.  Infectious diseases continue to impact millions of people every year around the world, despite many advances in medicine and technology. Pharmaceutical interventions such as testing, vaccines, or treatment, may not be available, and when they are, resources for their deployment are often very limited. Other...

UW-ISyE looks forward to welcoming Susan Murphy Professor of Statistics and of Computer Science and Associate Faculty at the Kempner Institute, Harvard University. We present our ongoing work on the development of an online reinforcement learning (RL) algorithm for dyadic digital intervention settings in which the task for the RL algorithm is to assist the target...