A simpler path to supercharge robotic systems

Robotic arms are typically composed of joints, which help the arm move and perform a task. Each of those joints is capable of either rotating or extending—and the number of such possible independent movements is referred to as the robotic system’s degree of freedom. The more joints in the arm, the higher the degree of freedom. 

Fixing the noise problem in quantum computing

The promise of quantum computing is a big one.

The ability to solve—in days—problems in areas such as mathematics, finance, and biological systems that are so complex it would take a classical computer hundreds of years to calculate. 

But that ability is a long way off, and a big reason why is noise.

Maryam Rahnemoonfar joins Rossin College faculty

Associate professor Maryam Rahnemoonfar, a leader in “data science for sustainability,” joined the faculty of the Department of Computer Science and Engineering, with a joint appointment in the Department of Civil and Environmental Engineering, on August 15, 2022.  

Rahnemoonfar is an expert in data science, machine learning, computer vision, and remote sensing. She comes to Lehigh from the University of Maryland, Baltimore County (UMBC), where she was an associate professor in the College of Engineering and Information Technology. 

Rossin College welcomes new faculty

The P.C. Rossin College of Engineering and Applied Science is pleased to introduce the following new members to our distinguished faculty:

$1.87M NIH award notice for ChBE Professor Schultz

The National Institutes of Health awards a $1.87M grant to Lehigh University's ChBE Professor Kelly Schultz

 
Schultz has been awarded an R35-Maximizing Investigators' Research Award from the NIH National Institute of General Medical Sciences titled "Characterizing the feedback loop between cells and the pericellular region during cell-material interactions".
 

Rossin Connection Podcast: Professor Nick Strandwitz

Chances are, you’ve never given much (if any!) thought to the films that coat things like your phone charger. But without them–and without their exact dimensions of thickness and hardness–the technology we rely on every day would be useless. In this episode, associate professor Nick Strandwitz explains what he calls the “magic” of atomic layer deposition, a thin film growth technique that, among many other things, helps our computers and smartphones do what they do–and do it fast.

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