(1) October 25, 2018, 6-8pm, AT&T Labs
Special Lecture Series on Healthcare brought to you by IEEE Computer & EMBS, Communications & Signal Processing Societies
Topic: Security Solutions for the Internet of Medical Things
By: Heena Rathore, Ph.D., Data Scientist and Program Manager at Hiller Measurements.
PLEASE RSVP – (is required to access the AT&T building
Intelligent healthcare has gained importance in the recent past since it allows continuous, remote monitoring of patients away from hospitals and doctors.
With advances in technology, doctors now can improve the quality of medical service for their patients through a surgical methodology that includes implantable embedded medical devices. Addition of connectivity to such devices is the key enabling technology. Devices are now connected to each other and to the world wide web (internet), which leads to the use of the term Internet of Medical Things.
To enable this, medical devices now have WiFi/Cellular chips on them so that they can talk to each other, in addition to the traditional roles of sensing and actuating. However, on the other end, the addition of connectivity and computing platform now makes these devices more prone to hacking.
This talk focuses on how deep learning techniques can be utilized to make these devices secure. This talk covers different problems of security such as authentication, classification on implantable medical devices such as insulin pump implants, deep brain stimulators, and cardiac defibrillator and proposes efficient techniques, such as multi-layer perceptron neural networks, recurrent neural networks, etc. to overcome these problems.
Heena Rathore is a Data Scientist and Program Manager at Hiller Measurements. She was a post-doctorate researcher for US-Qatar Joint Collaborative Project between Temple University, USA, University of Idaho, USA and Qatar University. Also, she was a visiting scholar for Wichita State University. She received her Ph.D. (with distinction) in Computer Science and Engineering Department while she was a Tata Consultancy Services Research Scholar at the Indian Institute of Technology, India. She received her bachelor’s in Computer Science Engineering from College of Technology and Engineering in 2010 with Honors. She has also worked professionally as Design Executive with Phosphate India Private Limited and academically as Guest/Assistant Professor with the University of Texas, Austin and SS College of Engineering, India respectively. She has been the winner of a number of prestigious awards including Graphical System Design Achievement Awards by National Instruments. She has published more than 25 papers in peer-reviewed conferences and journal papers in her field is the sole author of Mapping Biological Systems to Network Systems (Springer). She was also featured on TedX, Qatar held by TedXAlDafnaEd in Qatar and her work is covered in professional and major trade publications, major media, such as Microwave Journal, Everything RF, Times of India, and India Today. She has been invited as a panelist, TPC member and a chair for multiple sessions. She is a reviewer of many peer-reviewed journals and conferences in IEEE, IET, and Elsevier. Her research interests include deep learning, machine learning, security, distributed systems, wireless networks biologically inspired systems and software-defined networks
For any details, please email F.Behmann@IEEE.org
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