In the United States over four billion prescriptions are dispensed every year. Of those four billion around 2.4 million are incorrectly dispensed, which can be a fatal error. A team of researchers from the University of Michigan looks to machine intelligence to help humans reduce their dispensing errors.
Raed Al Kontar
Preventing prescription dispensing errors using machine intelligence
Raed Al Kontar receives the National Science Foundation Career Award
This award is given by the National Science Foundation through their Faculty Early Career Development (CAREER) Program. As one of the most prestigious awards, it supports early-career faculty who have the potential to serve as academic role models in research and education and to advance the mission of their department.
Keeping the world connected, without sacrificing privacy
Engineering assistant professor Raed Al Kontar outlines a new paradigm for connected devices.
Mitigating uncertainties in remote computer numerical control using data-driven transfer learning
U-M IOE’s Raed Al Kontar receives research funding from Cyber-physical Systems, a National Science Foundation program, for a project centered on the refinement of computer numerical control as a cloud service.
