IEEE Life Sciences Technical Community


Donna Hudson, Chair

The Role of Engineering and Medicine in Life Science Technologies



The IEEE Life Sciences Technical Community (LSTC) was formed in 2014. It focuses on IEEE activities related to life sciences. Currently, seven IEEE Societies have joined: Circuits & Systems, Communications, Computer, Consumer Electronics, Control Systems, Engineering in Biology and Medicine, and Signal Processing. The EMBS representatives are Bruce Wheeler and Metin Akay. One of the major goals of LSTC is to raise visibility of life science activities within IEEE. Activities in 2014 included booths at HIMSS and IEEE Sections Congress and a plenary presentation at the Consumer Electronics Conference in Berlin. 2015 activities include the Sy-Bio Workshop, HIMSS, MEDRIC Symposium, SEED and EMBS Conferences. Upcoming events include IEEE Big Data Initiative, Consumer Electronics, and Healthcom. The group will participate in the IEEE Grand Challenge in Life Sciences Conference in Abu Dhabi in 2016. The objectives of LSTC are to raise awareness of IEEE activities in life science- related areas, provide a forum for IEEE members to work together to explore future technologies related to life science, and support the inclusion of advanced technology in the healthcare arena.



image2Donna Hudson (M’81-SM’94-F’01-LF’15) received her PhD from UCLA School of Engineering and Applied Science (1981) and has been on the Faculty at University of California since then. She is Director of Academic Research and Technology at University of California, San Francisco (UCSF) and Professor in the Joint Graduate Group in Bioengineering, UC Berkeley/UCSF. She is a past-president of the International Society for Computers and Their Applications and former Vice-President of the World Academy of Biotechnology. She served IEEE EMBS in a number of positions including VP Publications, VP Finance, and President (2007-08). She was IEEE Vice President of Technical Activities in 2011. Dr. Hudson has over 260 refereed publications in computer-assisted medical decision-making, biomedical signal analysis, neural network modeling, telemedicine for home healthcare, and complex analysis of biomedical data applied to cardiology, neurology, and cancer diagnosis and prognosis and has authored two books. She is an IEEE Fellow and Fellow of the American Institute for Medical and Biological Engineering (AIMBE).