Khanderao Kand is an expert in Machine learning, Big Data and NoSQL technologies and an author of an upcoming books on Apache Spark as well as IoT. He had led Machine Learning and Data Science team working on very large data sets. He has built Big Data Platform for applications from network, security, advertisement and personal behavior learning. He is working on building Machine learning platform for Iot in personal and population health.
Room: N-125 | Time: 12:10pm - 12:30pm
Wearable Devices and home devices Connected for In-house Aging are going to be instrumental fitness to care monitoring at Individual level. The data streams from such devices would not only be quantifying the individual human beings but be a great source for applying machine learning algorithms for personal fitness to well ness monitoring. This presentation would cover how Machine learning algorithms at an individual level would be able to keep people healthy by not only monitor wellness but also monitoring symptoms to detect potential illnesses and their trends and response to medicines. This presentation would then cover machine learning approaches at aggregate level to monitor population health. The presentation would cover various algorithms for monitoring individual health as well as algorithms identifying outbreaks, origin as well as propagation of diseases.