Colloquium

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...

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,...

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....

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...