Aiman Abdel-Malek, Vice President, Engineering, Qualcomm Life
In this talk, Aiman will discuss why, what, and how Qualcomm Life developed the 2net EcoSystem Platforms to enable mobilization of Healthcare and stimulate various wireless Healthcare business models.
About Aiman Abdel-Malek:
Aiman served on GE’s Corporate Software Board, helping to define GE’s software business strategy, and on the Health Industry Business Communications Council (HIBCC). Aiman was an executive leader for the Image & Signal Processing Technology Council for GE Healthcare and for the GE Foundation Developing Health Community initiative. He earned his PhD in biomedical engineering from the University of Southern California, completing post-doctoral research at UCLA in neurology. He is a senior member of the IEEE and holds over 20 US and international patents.
Aiman joined Qualcomm Life from General Electric’s Healthcare Division, where he served as GM and CTO for the Global Services Technology business, a $5 billion division of GE healthcare. There he led a global engineering team responsible for the development of software and systems platforms for predictive remote service technology and healthcare operational efficiency and quality applications. Previously, Aiman was the technology managing director for Pipeline Inspection International, a $400 million global business unit of GE Oil and Gas in the UK. Aiman also led the Remote Diagnostics Service business for GE Transportation, delivering a wireless based “Expert on Alert” locomotive information service, which currently runs on over 20,000 locomotives. In 1996, under NIH and Army grants, Aiman and team developed the first tele-mammography system for remote breast cancer screening, leveraging satellite technology and digital x-ray detectors in collaboration with Massachusetts General Hospital. The system was considered state-of-the-art within the telemedicine community. Aiman started his career at GE as a systems engineer in the Global R&D group in Albany, NY, leading the development of vision inspired signal processing algorithms for aerospace, industrial and medical applications.
Hosted by: Professor Tim Cheng