Skip to main content

From Statistical Learning to AI: Modeling, Inference, and Control for Advanced Manufacturing

1153 Mechanical Engineering 1513 University Ave, Madison, WI, United States

Advanced manufacturing processes and industrial autonomy provide new opportunities for the manufacturing industry by providing a data-rich environment that can facilitate the connection between the physical, digital, and biological worlds. However, it becomes difficult to model and make inferences from this data that is often characterized by complex structures. The increasing need for high-precision measurements,...

Federated Data Analytics: Theory and Applications

1163 Mechanical Engineering 1513 Engineering Dr., Madison, WI, United States

Nowadays, the sheer amount of data collected from edge devices such as mobile phones and self-driving vehicles is beginning to overwhelm traditional centralized data analytics regimes where data from the edge is continuously uploaded to a central server to be processed. Excessive communication traffic from data upload, significant central server storage needs, energy expenditures from...

ISyE Discovery Day

Mechanical Engineering Building - Atrium 1415 Engineering Drive, Madison

Welcome to the intersection of engineering, people, and business. Join us for an open house to learn more about majoring in Industrial Engineering.

Autonomous Materials Research Seminar: Dr. Rachel Davidson

1003 (Tong Auditorium) Engineering Centers Building 1550 Engineering Drive, Madison, WI, United States

Dr. Rachel Davidson
Intelligence Communities Fellow
Office of the Director of National Intelligence
Texas A&M University - College Station

BME Seminar Series: Katsuo Kurabayashi, PhD

1003 (Tong Auditorium) Engineering Centers Building 1550 Engineering Drive, Madison, WI, United States

Integrated Plasmonic Biosensors: from Critical Care Medicine to Airborne Virus Monitoring Katsuo Kurabayashi, PhDProfessor, Mechanical Engineering and Electrical Engineering and Computer ScienceUniversity of Michigan, Ann Arbor Abstract:Nanoparticle-based plasmonic biosensors are label-free, robust, rapid, cost-effective, and easy to integrate into miniaturized fluidic microsystems. These advantageous features make plasmonic biosensors promising candidates for point-of-care testing (POCT) of...

Coffee Break with HFES

3121 Mechanical Engineering 1513 Engineering Drive, Madison, WI, United States

Join the Human Factors and Ergonomics Society (HFES) student org for a conversation on "Designing your semester using human factors".

Exploring the Value of a PhD in Industry

1610 Engineering Hall 1415 Engineering Drive, Madison, WI, United States

Join us when our knowledgeable panelists share information and personal experiences about this exciting educational path. Are you wondering....
What jobs are available in industry for a person with a PhD?
What are common hiring practices?
What industry career path can I follow with this level of degree?
Hear the answers to these common questions and more from those in the know.

BME Seminar Series: Sarah Shelton, PhD

1003 (Tong Auditorium) Engineering Centers Building 1550 Engineering Drive, Madison, WI, United States

Vasculature-on-chip models for studying metastasis and the tumor microenvironment Sarah Shelton, PhDPostdoctoral Research FellowMassachusetts Institute of Technology and Dana-Farber Cancer Institute Microphysiological systems or “organ-on-chip” devices are three-dimensional models of simplified biological tissue that have greatly expanded the types of experiments and hypotheses that can be explored in vitro in recent years. My work focuses...

MS&E Seminar Series: Dr. Caroline Ross

1003 (Tong Auditorium) Engineering Centers Building 1550 Engineering Drive, Madison, WI, United States

Dr. Caroline Ross
Massachusetts Institute of Technology
Magnetic insulators for spintronic, photonic and magnetoelectric devices

ECE Rising Stars Seminar: Dr. Vladimir Dvorkin

4610 Engineering Hall 1415 Engineering Drive, Madison

Join MIT Postdoctorate Fellow, Dr. Vladimir Dvorkin, when he presents Optimization and Learning in Energy Systems: Privacy and Performance