The IEEE EMBS Bangalore Chapter in association with RIT EMBS Student Chapter and RIT Bangalore is organizing summer school on Deep Learning for Engineering Applications using Python Programming from 8th July to 13th July 2019 at Ramaiah Institute of Technology Campus, Bengaluru. The copy of the brochure with Registration form is herewith enclosed. The school is open for faculty, students and industry.
Research Position as JRF for a funded project is available for immediate
appointment. Candidates with First class in B.E and M.Tech with exposure to electronics Design/Medical devices will be given preference
Interested candidates can share their CV to email:email@example.com. Applicant has to bring all the original certificates at the time of interview for the purpose of verification, along with one set of photocopies).
For any query, Please contact: firstname.lastname@example.org
DISTINGUISHED LECTURE PROGRAM (DLP)
Department of Electronics and Communication
Department of Medical Electronics
in association with
IEEE – EMBS Bangalore Chapter and EMB MSRIT Student Chapter
cordially invite you for the
NEURAL PROSTHESES FOR AMPUTEES AND PATIENTS WITH SPINAL CORD INJURIES
V John Mathews
(Professor, Electrical & Computer Engineering, Oregon State University)
Date: April 30th, 2018 (Monday)
Venue: LHC Seminar Hall – I, RIT
All the Faculty and Students are invited
ABSTRACT OF THE TALK:
Recent technological innovations such as functional neuro-muscular stimulation (FNS) offer considerable benefits to paralyzed individuals. FNS can produce movement in paralyzed muscles by the application of electrical stimuli to the nerves innervating the muscles. The first part of this talk will describe how smooth muscle movements can be evoked using electrode arrays inserted into the motor nerves of the peripheral nervous system. Animal experiments demonstrating the feasibility of the method will also be described. The second part of this talk will describe efforts to decode human motor intent from neural signals. Novel machine learning algorithms for accomplishing this objective will be presented. The decoded information can then be used to evoke desired movements of paralyzed muscles or to control prosthetic devices in patients with limb loss. Results of experiments involving human amputee subjects will be described and discussed. The talk will conclude with a discussion of some of the current research challenges in these problems.
SHORT BIOGRAPHY OF THE SPEAKER:
Dr. V. John Mathews is a Professor in the School of Electrical Engineering and Computer Science at the Oregon State University. His research interests are in nonlinear and adaptive signal processing, machine learning, and the application of signal processing and machine learning techniques in audio and communication systems, neural engineering and biomedicine, and structural health management. Previously he was with the University of Utah from 1985 till 2015. He chaired the department of Electrical and Computer Engineering at the University of Utah during 1999 – 2003, and was the head of the School of Electrical Engineering and Computer Science at Oregon State University from 2015 to 2017. Dr. Mathews is a Fellow of IEEE. He served as the Vice President (Finance) of the IEEE Signal Processing Society during 2003 – 2005 and the Vice President (Conferences) of the Society during 2009 – 2011. He is a past associate editor of the IEEE Transactions on Signal Processing and the IEEE Signal Processing Letters, and served on the editorial boards of the IEEE Journal of Selected Topics in Signal Processing and the IEEE Signal Processing Magazine. He was a recipient of the Meritorious Service Award from the IEEE Signal Processing Society in 2014, the 2008 – 2009 Distinguished Alumnus Award from the National Institute of Technology, Tiruchirappalli, India, and the Utah Engineers Council’s Engineer of the Year Award in 2011. He was a Distinguished Lecturer of the IEEE Signal Processing Society for 2013 and 2014.