Skip to content Skip to navigation


The MBSE Seminar Series occurs weekly during the fall semester only. In fall 2022, seminars will be at 11:45 on Mondays in GLCR 150 263 and via Zoom.

If you want to be included in the MBSE Seminar distribution list, please contact Sarah Kurtz.


MBSE Seminar Schedule Fall 2022

Sept. 12 Dr. Roberto Andresen & Dr. Aleksandr Noy, University of California Merced

Revealing molecular architectures for wet adhesion" by Dr Andresen & "Nanofluidic Transport in Carbon Nanotube Channels” by Dr. Noy

Sept. 19 Dr. Timothy Long, Arizona State University

“Designing Advanced Materials for Advanced Manufacturing: Striving for Sustainability”

Sept. 26 Dr. Gang Lu, California State University Northridge

"Electronic Excitations in Materials: A First-Principles Perspective "

Oct. 3 Dr. Keith Ray, Lawrence Livermore National Laboratory

"Materials Origins of Decoherence in Quantum Information Devices”

Oct. 10 Dr. Sasikanth Manipatruni, Kepler Computing

"Materials for beyond-CMOS computing"

Oct. 17 Dr. Clare Yu, University of California Irvine

"Spatial Distribution of Tumors and Immune Cells in Tumors"

Oct. 24 Dr. Eray Aydil, New York University

"Changing the Sun: Quantum Cutting Materials to Increase the Efficiencies and Lifetimes of Silicon Solar Cells"

Oct. 31 Dr. Taylor Ware, Texas A&M University 

"4D printing"

Nov. 7 Dr. Phil Messersmith, University of California Berkeley 

"Design, Interfacial Mechanics and Applications of Mussel-Inspired Polymers"

Nov. 14 Dr. Markus Valtiner, Vienna University of Technology

"Applied Interface Physics and Bioadhesion"

Nov. 21 Dr. Kara McCloskey, Dr. Andrea Merg & Dr. Jennifer Lu, University of California Merced

"Material stiffness directs diverging vascular fates" (by Dr. McCloskey)

"Energy storage devices for low-temperature applications and for residential solar energy storage" (by Dr. Lu)

Nov. 28 Dr. Qiming Wang, University of Southern California

"Bio-inspired materials"

Dec. 5 Dr. Audrey Dussutour, Université Toulouse, France

"Problem solving in slime molds: from decision making to learning"