October 15, 2021 @ 11:45 am – 12:35 pm – Bianca Mara Colosimo, Ph.D. Professor, Department of Mechanical Engineering  Politecnico di Milano Abstract: Big data mining for Industry 4.0: opportunities and challenges in additive manufacturing. Fostered by Industry 4.0, complex and massive data sets are currently available in many industrial settings and manufacturing is facing a new renaissance, due to the widespread of emerging process […]

October 22, 2021 @ 11:45 am – 12:35 pm – Peter Parker, Ph.D., P.E. Team Lead for Advanced Measurement Systems National Aeronautics and Space Administration’s Langley Research Center Abstract: Infusing Statistical Engineering at NASA The discipline of statistical engineering has gained recognition within NASA by spurring innovation and efficiency, and it has demonstrated significant impact.  Aerospace research and development benefits from an application-focused statistical engineering […]

October 29, 2021 @ 11:45 am – 12:35 pm – Mehrdad Farajtabar, Ph.D. Senior Research Scientist Google DeepMind Title: Neural Networks in real world data: the case of continual learning and knowledge distillation Abstract: Neural networks are achieving state of the art and sometimes superhuman performance on learning tasks across a variety of domains.  However, are they ready to be fully utilized in real world scenarios […]

November 05, 2021 @ 12:00 am – Muxuan Liang, Ph.D. Post-Doctoral Research Fellow Public Health Sciences Division Fred Hutchinson Cancer Research Center Title: Statistical inference of decision rules under a non-differentiable surrogate loss in a general high-dimensional classification framework Abstract: Penalized empirical risk minimization with a surrogate loss function is often used to derive a high-dimensional linear decision rule in classification problems. […]

November 12, 2021 @ 11:45 am – 12:35 pm – Zhenyu Kong, Ph.D. Professor Grado Department of Industrial and Systems Engineering Virginia Tech Title: Sensing and Data Analytics for Smart Additive Manufacturing. Abstract: Additive manufacturing (AM) enables seamless integration of product design and manufacturing phases and thus offers significant advantages over conventional manufacturing. Despite the enormous progress in recent AM technologies, certain intractable quality issues […]