GRASP Lab Spin-off Exyn Technologies Featured on 6ABC
Exyn Technologies, a spin-off of the GRASP lab founded by Vijay Kumar, Nemirovsky Family Dean of Penn Engineering, develops software that allows flying robots to map and understand unfamiliar locations. Being able to navigate novel, dynamic environments without direct human oversight allows for a wide range of fully autonomous missions.
Penn Engineers’ Liquid Assembly Line Makes Drug Microparticles a Thousand Times Faster Than Ever Before
Pharmaceuticals owe their effects mostly to their chemical composition, but the packaging of these drugs into specific physical formulations also need to be done to exact specifications. For example, many drugs are encapsulated in solid microparticles, the size and shape of which determine the timing of the drug’s release and its delivery to specific parts […]
Shivani Agarwal: Looking at Machine Learning from All Angles
It is now an everyday occurrence to see customized recommendations while shopping online, and uncannily personalized sidebar ads while browsing a website. Both of these marketing tools are powered by machine learning, a field of study that extends to many other parts of society as well. Machine learning now powers advancements in speech recognition, drug […]
Calculus III for Cells
Last year, researchers from the University of Pennsylvania revealed surprising insights into how cells respond to surface curvature. Specifically, they investigated how cells respond to cylindrical surfaces, which are common in biology. They found that cells change the static configurations of their shapes and internal structures. Now, the researchers, led by Kathleen Stebe and recent […]
Taking Penn Engineering Technology to Market
Boon Thau Loo, professor in the Department of Computer and Information Science (CIS) and associate dean of Master’s and Professional Programs, acknowledges that there is a divide between the worlds of academia and industry. By collaborating on the CIS department’s first-ever spinoff, a startup called Netsil, Loo and his lab members gained the skills to […]
Aaswath Raman at TED2018: ‘The next renewable resource? The cold of space’
Aaswath Raman, one of the newest members of the Department of Electrical and Systems Engineering, is using his background in optics and materials science to take an ancient idea and apply it to a pressing, modern-day problem: cooling.
New Nanoparticle Synthesis Facility is Getting Stalled Neuroscience Research Back on Track
Nanotechnology is enabling new materials and devices that work at sizes so small that individual atoms and molecules make a difference in their behavior. The field is moving so fast, however, that scientists from other disciplines can have a hard time using the fruits of this research without becoming nanotechnologists themselves.
Nader Engheta Receives 2018 IEEE Nanotechnology Council Pioneer Award in Nanotechnology
Nader Engheta, H. Nedwill Ramsey Professor of Electrical and Systems Engineering, is the recipient of the 2018 IEEE Nanotechnology Council Pioneer Award in Nanotechnology for “his transformative contributions to the nanoscience and nanotechnology of photonic metamaterials and for the development of optical nanocircuits.” IEEE is the world’s largest professional engineering organization, boasting more than 375,000 […]
Ani Hsieh’s Robot Teams are Exploring New Frontiers
As a child, Ani Hsieh wanted to become an astronaut, but she soon realized there were a few obstacles that no amount of studying or training could overcome. “I’m short, I’m hopelessly nearsighted, and I get really bad motion sickness,” says Hsieh, research associate professor in the Department of Mechanical Engineering and Applied Mechanics. Thankfully, […]
Penn Researchers Show that Cells’ Perception of Stiffness is a Matter of Time
The relative stiffness of a cell’s environment is known to have a large effect on that cell’s behavior, including how well the cell can stick or move. Now, a new study by University of Pennsylvania researchers demonstrates the role timing plays in how cells perceive this stiffness.