CBE Seminar: Roger Bonnecaze '85 (Texas)
Bio:Roger T. Bonnecaze ’85 is the dean of the Cockrell School of Engineering at the University of Texas at Austin and affiliated faculty at the Oden Institute. He served as chair of CockrellR...
Bio:Roger T. Bonnecaze ’85 is the dean of the Cockrell School of Engineering at the University of Texas at Austin and affiliated faculty at the Oden Institute. He served as chair of CockrellR...
Nonlinear Hall Effect from Spin-Valley Locking and Nonreciprocal Hall Effect via Asymmetric Scattering at Room Temperature Spin-valley locking in the band structure of monolayers of MoSâÃÂàan...
Exploring Dual Land Use for Agriculture and Solar Power Production: Are Agrivoltaic Systems Viable in Sweden? In this presentation, he will explore the concept of agrivoltaic systems and discuss their...
An Optimization Perspective on Guidance for Fine-Tuning Diffusion Models Diffusion models have achieved state-of-the-art performance in generative modeling, with their power significantly enhanced by ...
Bio: Melody Xuan Lim is Biggar/KIC Experimental Fellow Kavli Institute and the Laboratory of Atomic and Solid State Physics at Cornell. Melody’s research is focused on the bottom-up design of ma...
Data Driven Learning and Control seminar series is organized by the Information and Decision Science Lab at Cornell University and aims to explore the latest advancements and interdisciplinary approac...
Learn about On-Campus & Distance Learning M.Eng. Options Curriculum Courses & M.Eng. Project Overview Admission Requirements & Procedures. Waived GREs for the ’24-’25 applica...
Generative AI as a Multi-Scale Enabler in Guiding the Energy Transition The global shift towards sustainable and renewable energy systems presents one of the most critical challenges of our time, nece...
Strain control of micro-structured quantum materials Quantum materials have the potential to play a central role in next-generation electronic and information processing devices. Despite this promise,...
Air Pollution, Extreme Weather, and the Urban Exposome: Advancing Exposure Science with AI and Precision Health As urban populations continue to increase in the U.S. and globally, there is growing con...
Continuous monitoring of protein biomarkers using implantable sensors To put disease-related biomarkers to work for continuous monitoring of health and disease, new high-performance technologies are n...
Bio:Raymond Goldstein Ph.D. ’88 received undergraduate degrees in physics and chemistry from MIT, and a Ph.D. in theoretical condensed matter physics from Cornell University. Following postdocto...
Developing the Internet of Nature There are several visions for the Internet of Nature. My vision is one where spatial computing (AR/VR) and AI enable the development of Artificial Intelligence- Agent...
Bio:Alexandra Werth is an assistant professor at the Meinig School of Biomedical Engineering, having joined the faculty in fall 2023. Her work focuses on Engineering Education Research (EER), a branch...
Bio: After earning his Ph.D. degree from Caltech and working as a postdoc in Shell, Amsterdam in 1995, Jeff Morris joined Georgia Tech as an assistant professor (1996-2002). Subsequently, he worked wi...
Simulation and Design Education Closing the skills gaps in simulation and design in the age of AI This industry day on April 17th 2025 will bring together Cornell faculty, students, staff and alumni a...
Data Driven Learning and Control seminar series is organized by the Information and Decision Science Lab at Cornell University and aims to explore the latest advancements and interdisciplinary approac...
Bio:Daniel Shawhan Ph.D. ’08 is a Fellow at Resources for the Future. His research focuses on predicting and estimating the effects of electricity policies, including environmental ones. He has ...
Engineering nanoparticles containing CRISPR for precision gene and cell therapy Therapeutic genome editing has tremendous promise for correcting pathogenic mutations and programming cell behavior usin...
Stable and Sample Efficient Reinforcement Learning Reinforcement Learning (RL) is widely recognized for its capabilities in control and optimization. Despite its potential, industrial adoption necessi...