Colloquium

How can we develop optimization algorithms for training machine learning models that preserve the privacy of individuals' training data? In this talk, I will present my work addressing this challenge through differential privacy (DP). Differential privacy offers a rigorous, quantifiable standard of privacy that limits potential leakage of training data. I will explore the fundamental...

Artificial intelligence (AI) technologies are increasingly integrated into our lives, enabling a new paradigm of human-AI decision-making where AI provides recommendations, and humans make the final decision. However, such human-AI collaboration often yields mixed results in reality, highlighting the need to understand how humans engage with AI-based systems and optimize human-AI collaboration's effectiveness. In this...

Artificial intelligence (AI) is increasingly used in healthcare to enhance clinical decision-making,optimize operations, and improve patient outcomes. However, real-world deployment of AIsystems presents fundamental engineering challenges, including dataset shifts, physician-AIteam...

Cybermanufacturing enables the shared use of networked manufacturing infrastructure to deliver manufacturing resources on-demand while maximizing capacity utilization, reducing consumption of natural and material resources, and reducing costs to product design and manufacturing. This talk will highlight three areas where our group has contributed to the understanding of Cybermanufacturing systems – 1) With the explosive...

Wearable technology such as smartwatches has the potential to transform the management and control of infectious diseases. Smartwatches provide continuous data about an individual’s health (e.g., heart rate, sleep patterns,...

Decision making to satisfy the basic human needs of health, food, and education is complex. We present an overview of two illustrative studies using data to inform decision making in...

UW-ISyE looks forward to welcoming Dr. Georgia Perakis, Professor at the MIT Sloan School of Management.

UW-ISyE looks forward to welcoming Dr. Santanu Dey, Professor at H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. We develop two general-purpose strong dual formulations for binary MINLPs, motivated by sensitivity analysis and distributed computation. For mixed binary quadratic programs (MBQPs), we show that the copositive dual of Burer’s completely positive...