Dr. Sanjeev Khudanpur Demonstrates Human-Machine Learning
Sanjeev Khudanpur is working with other engineers and doctors to use computers to improve how medical students learn surgical procedures.
Sanjeev Khudanpur is working with other engineers and doctors to use computers to improve how medical students learn surgical procedures.
Electrical and Computer Engineering faculty Mounya Elhilali, Jim West, and their students have built a high-tech stethoscope to address two problems: ambient noise and untrained users.
Priebe and Park have created a statistical tool that successfully mapped behaviors onto about 60 percent of the fruit fly larvae’s neurons.
Researchers from the Center for Language and Speech Processing at Johns Hopkins University are among the winners for the Intelligence Advanced Research Projects Activity’s (IARPA) Automatic Speech Recognition in Reverberant Environments (ASpIRE) challenge.
Engineering and computer information technology graduate programs at Johns Hopkins Engineering for Professionals were highlighted in the 2015 U.S. News & World Report Best Online Programs rankings.
A one-year grant from the Forensic Services Division of the Secret Service is helping Sanjeev Khudanpur and Adjunct Professor Jack Godfrey, close in on one of the toughest challenges in forensic science.
Prof. Andreou and his graduate student Thomas Murray have devised a human action-recognition technology that could be much less intrusive and expensive.