School of Engineering & Applied Science

Building futures through LEGOs

In the FIRST LEGO League tournament, middle school teams mentored by Penn Engineering students worked to design and build robots related to the theme of water.

Ali Sundermier

Flu of 1918 and Today

The year 2018 marks a century since a devastating influenza pandemic claimed the lives of an estimated 50 to 100 million worldwide. Experts at the University of Pennsylvania are on hand to comment on the historic toll of the 1918 flu as well as on current scientific and medical research aimed at curbing the impact of a future pandemic.

Penn engineers test drug transfer using placenta-on-a-chip

Researchers at the University of Pennsylvania’s School of Engineering and Applied Science have demonstrated the feasibility of their “organ-on-a-chip” platform in studying how drugs are transported across the human placental barrier.

Ali Sundermier, Evan Lerner

Penn Engineers Make First Full Network Model of the Musculoskeletal System

Network science examines how the actions of a system’s individual parts affect the behavior of the system as a whole. Some commonly studied networks include computer chip components and social media users, but University of Pennsylvania engineers are now applying network science to a much older system: the human body.

Evan Lerner

Penn Engineers: Bone Marrow Transplant Stem Cells Can 'Swim' Upstream

When a cancer patient receives a bone marrow transplant, time is of the essence. Healthy stem cells, which can restart the production of blood cells and immune system components after a patient’s own are compromised, need to make their way from the circulatory system into the bones as quickly as possible.

Evan Lerner, Ali Sundermier

Penn Researchers Establish Universal Signature Fundamental to How Glassy Materials Fail

Dropping a smartphone on its glass screen, which is made of atoms jammed together with no discernible order, could result in it shattering. Unlike metals and other crystalline materials, glass and many other disordered solids cannot be deformed significantly before failing and, because of their lack of crystalline order, it is difficult to predict which atoms would change during failure.

Evan Lerner, Ali Sundermier

Penn Engineers Develop Microchip Laser Stabilizer, Enabling Faster Data Transfer

With streaming movies and UltraHD television taking more and more bandwidth, there is a race to deliver data into people’s homes as quickly as possible. Light-based fiber optic connections promise far faster data rates than standard electricity-based coaxial cables, so making laser sources smaller, cheaper and more stable is a high priority for engineers.

Evan Lerner, Ali Sundermier



In the News


Philadelphia Inquirer

New Penn AI master’s program aims to prep students for ‘jobs that we can’t yet imagine’

Chris Callison-Burch of the School of Engineering and Applied Science discusses Penn’s new online master’s program in artificial intelligence.

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NBC Philadelphia

Penn Engineering announces first Ivy League Master’s degree in AI

The School of Engineering and Applied Science has announced the first graduate program in artificial intelligence among Ivy League universities, led by Chris Callison-Burch.

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Technical.ly Philly

Penn Engineering rolls out an online master’s degree in AI, first in Ivy League

The School of Engineering and Applied Science has announced the first graduate program in artificial intelligence among Ivy League universities, led by Chris Callison-Burch.

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Newsweek

Man does DNA test, not prepared for what comes back ‘unusually high’

César de la Fuente of the School of Engineering and Applied Science and Perelman School of Medicine says that Neanderthal DNA provides insights into human evolution, population dynamics, and genetic adaptations, including correlations with traits such as immunity and susceptibility to diseases.

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Technical.ly Philly

Penn professor on gen AI’s rapacious use of energy: ‘One of the defining challenges of my career’

Benjamin Lee of the School of Engineering and Applied Science says that hardware and infrastructure costs are growing at high rates for generative AI.

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