Pelvic organ prolapse (POP) is a disorder that primarily affects older women who have experienced multiple vaginal childbirths.
Repeated vaginal deliveries can cause the muscles and connective tissue that hold the pelvic organs—the vagina, bladder, uterus, urethra, and rectum—to weaken, causing one or more of the organs to drop out of position and bulge or extrude outside the body.
The P.C. Rossin College of Engineering and Applied Science is pleased to welcome the following new members to our distinguished faculty:
A New York Times investigation into the underground Fordo nuclear facility in Iran highlights insights from Clay Naito, a professor of structural engineering at Lehigh University. Naito explained how steel fiber reinforcement can significantly increase the tensile strength of concrete, helping it better withstand blasts or impacts.
The Lehigh Microscopy School (LMS) hosted 80 participants, along with 20 instructors from other universities/institutes and 20 instructors from microscopy vendors across the United States for a week of advanced microscopy training, held June 1-5, 2025.
Scientists from across the globe gathered for a two day symposium is Oslo, Germany to discuss the most exciting advances and challenges in modeling ice and water from first principles to provide a wide range of perspectives. The event was organized by Sigbjørn Løland Bore (University of Oslo, NO) and Pablo Piaggi (nanoGUNE andIkerbasque, ES), as part of the Young CAS "Can Ice Be Described from First Principles?" project funded by the Norwegian Academy of Science and Letters.
Lehigh University materials science and engineering (MSE) professor Christopher J. Kiely has been named the 2025 recipient of the Microanalysis Society (MAS) Presidential Science Award, which honors a senior scientist for “outstanding technical contributions to the field of microanalysis over a sustained period of time.”
Self-driving vehicles, drones, and robotic assistants are transforming industries including transportation, logistics, and health care. With new developments in hardware, AI, and machine learning, these autonomous agents can sense their surroundings with greater accuracy, understand complex environments, and engage in sophisticated reasoning.
But despite such advancements, deploying robots in dynamic, real-world settings—and getting them to do what we want—remains difficult.
