AI That Learns from Physics Laws and Thought Experiments Thu, September 28, 2023 FOE alum Aydogan Ozcan at UCLA has engineered an AI model that can reconstruct microscopic images using only random artificial holograms -- synthesized solely from 'imagination' without relying on any real-world experiments, actual sample resemblances, or real data. Read More
Sensing and Controlling Microscopic Spin Density in Materials Mon, September 25, 2023 FOE alum Ju Li at MIT has engineered a way to tune the spin density in diamond by applying an external laser or microwave beam, which could open new possibilities for advanced quantum devices. Read More
Microchips to Treat Quadriplegia Thu, September 21, 2023 Chad Bouton (USFOE 2011) at the Feinstein Institute for Medical Research has engineered an electronic bridge that allows information to flow between a person's paralyzed body and brain to restore movement and sensations in their hand. Read More
AI to Treat Hypertension Mon, September 18, 2023 Ioannis Paschalidis (USFOE 2002) at Boston University has engineered an artificial intelligence program to give clinicians real-time hypertension treatment recommendations based on patient-specific characteristics, like demographics, vital signs, and past medical history. Read More
Technology-enabled Water Surveillance and Control Mon, September 11, 2023 FOE alum Peter Vikesland at Virginia Tech is engineering wireless sensor networks that survey microbial threats to water quality, enable operational control, and provide real-world feedback for public transparency. Read More
Inequity Even Crossing the Street Thu, September 07, 2023 Engineer Chandra Bhat (USFOE 2006) at UT Austin showed that poor infrastructure in Houston’s Black neighborhoods has caused a disproportionate number of pedestrian crashes, underscoring the need for inclusive and community-driven transportation policy and infrastructure planning. Read More
Generative Artificial Intelligence Thu, August 31, 2023 At the University of California, Berkeley, FOE alumni Pieter Abbeel and Ken Goldberg discuss how they are using AI and rich data sets to train picking robots and tackle package sorting. Read More
Machine Learning for Biomedical Research Mon, August 28, 2023 Bioengineer Konrad Kording (USFOE 2017) at the University of Pennsylvania is making advancements in the field of machine learning in biomedical research by creating the Community for Rigor, which will provide open-access resources on conducting sound science. Read More
Remediating Stubborn New 'Forever Chemicals' Thu, August 24, 2023 Xiao Su (GAFOE 2023) at the University of Illinois at Urbana-Champaign is engineering an electrosorption process and combines synthesis, separations testing, and computer simulations to help design an electrode that can attract and capture a range of short-chain PFAS from environmental waters. Read More
Magnetic Robots That Can Walk, Crawl, Swim Mon, August 21, 2023 MIT's Polina Anikeeva (USFOE 2013) has engineered tiny, soft-bodied, magnetic spiral-based robots that are well-suited to transfer cargo through restricted places and delicate environments, suggesting that the technology could be adapted for biomedical applications. Read More
Halting Malaria-Spreading Mosquitoes Thu, August 17, 2023 Omar Akbari (USFOE 2019) at the University of California, San Diego is engineering a first-of-its-kind African mosquito suppression system with the potential to be the safe, controllable, and scalable solution the world urgently needs to reduce child mortality and aid economic development. Read More
3D Printing Metal Objects Mon, August 14, 2023 Michael Dickey (USFOE 2014) at North Carolina State University has engineered a highly electrically conductive metallic gel that can be used to print 3D solid objects at room temperature that become even more solid while retaining shape, applicable to manufacturing many electronics. Read More
Lab-grown Meat! Thu, August 10, 2023 FOE alum Ali Khademhosseini of the Terasaki Institute for Biomedical Innovation has engineered a process that humanely extracts regenerative factors from healthy, living cows to cost-effectively grow meat such as beef, pork, chicken, or fish. Read More
Human-Caused Climate Change's Devastating Impact on Wildfires Mon, August 07, 2023 Engineer and FOE alum Amir AghaKouchak at the University of California, Irvine authored a study that suggests that anthropogenic climate change has increased the extent and severity of wildfire seasons across the US. Read More
Surgical Implants Inspired by Dragonfly and Cicada Wings Thu, July 27, 2023 FOE alum Qing Cao at the University of Illinois Urbana-Champaign is engineering "smart" coatings for surgical orthopedic implants that can monitor strain on the devices to provide early warning of implant failures while killing infection-causing bacteria. Read More
Personalized Cellular Immunotherapy Platform for Cancer Mon, July 24, 2023 FOE alum Joerg Lahann at the University of Michigan is engineering a 3D scaffold framework that optimizes cellular growth, successfully mimics the tumor microenvironment, and enables large platform scalability, with broad potential clinical applications. Read More
3D Printing for Alloy Design Mon, July 17, 2023 FOE alum Ju Li at MIT is engineering a simple, inexpensive way to strengthen one of the key materials that can withstand extreme conditions such as high temperatures and tensile stresses without failing, which is important for aerospace, energy generation, and other applications. Read More
New 'E-Tattoo' Is Worn on Chest to Track Heart Health Thu, July 13, 2023 FOE alum Nanshu Lu at the University of Texas at Austin is engineering a wireless, lightweight, and razor-thin electronic chest “tattoo” that can help with heart monitoring and lower the odds of heart disease for patients who are at high-risk. Read More
Who Wrote This Research Paper? Mon, July 10, 2023 Engineer Stefan Duma (USFOE 2002) at Virginia Tech discusses how academic journals are attempting to keep up with the breakneck pace of ChatGPT and other emerging technologies by enacting policies forbidding large language models to be listed as co-authors. Read More
ML Helps Find Reliable, Low-cost Solar Cells Thu, July 06, 2023 Engineer Marina Leite (EU-US FOE 2017) at the University of California, Davis is using machine learning to identify new materials for high-efficiency solar cells that are cheaper to make and lighter, potentially allowing a wide range of applications, including light-emitting devices. Read More