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Tutorial 1
Title: Unobtrusive sensing for Healthcare
Presenter: Avik Ghose, TCS Research & Innovation

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Abstract: A new branch of sensing is evolving where one need not put sensor on subject’s body yet sense bio-signals with reasonable accuracy. Various technologies like Human Radar, VOC, Single point camera are evolving that provides valuable sensing inputs. This tutorial would give brief overview of current state of the art for unobtrusive or standoff sensing specifically for healthcare domain and the roadmap of these technologies in near future.


  1. Wearable, eye tracking and camera based assessments for daily living - Elderly Care
  2. Volatile organic compound (VoC) sensing as a source of biomarkers for early disease screening/monitoring for chronic diseases
  3. Human radar for liveliness detection and in-body imaging
  4. Human pose estimation from monocular camera - ROM (range of motion) analysis for musculoskeletal disorder patients.

Audience: Intended audience would be researchers / engineers working in healthcare domain. Though no prior knowledge of sensing is needed, it would be good to have some medical / engineering background.

Duration of the tutorial: 2 hours.

Presenter Bio: Avik Ghose received his M.Sc. In the year 1999. He has more than 17 years of experience in embedded systems domain. He has worked on an array of embedded devices and platforms, including media players, automobiles, network modules, mobiles and wearable. He is currently employed at TCS Research and Innovation. His current area of research is human sensing for wellness and behavior understanding. He has published several papers on this subject and has around 12 granted patents in the field.

Tutorial 2
Title: Edge Intelligence in the Internet of Things
Presenter: N.Venkatesh, Redpine Signals, Inc.

Abstract: The connected world has got everyone talking about technology and how it is impacting every aspect of human life. Lots of new products and systems are being introduced with innovations in hardware, software and infrastructure to solve problems via Machine Learning. These connected systems combine concepts of IoT and AI. Each has its own demands. IoT demands low power connectivity. AI demands computation power. Legacy IoT solutions push the computational part into the cloud - implemented in heuristic, hand crafted algorithms. The explosion of data in the IoT, and its variety and variability, has changed the approach to implementing algorithms for high level business processes and analytics. The ML approach trains the algorithms first and then makes them available for real-time use. The emerging Edge Intelligence systems now bring the trained algorithms into the edge - enabling end nodes to take more intelligent and quicker decisions that are available under all circumstances. This tutorial explains how IoT devices with Edge Intelligence are architected and built. It provides a good foundation of the concepts involved in low power connectivity and computation, and describes how systems can be built, enabling participants to jump start the realization of their own innovations.

Audience:Intended audience would be researchers / engineers working in Computer Science domain. Specialization in Networking technologies, Machine Learning, Artificial Intelligence, Could computing would be preferred.

Duration of the tutorial: 3 hours

Presenter Bio:
N.Venkatesh is Vice President of Advanced Technologies at Redpine Signals, and has 30 years of engineering and management experience in wireless system design, IoT solutions, semiconductor design, and avionics. His current areas of interest are on building semiconductor and system solutions in the field of the Internet of Things with Edge Intelligence. He is also the Chair of IEEE Hyderabad Section. Mr. Venkatesh holds a Masters Degree in Electrical Engineering from the Indian Institute of Technology, Madras, India. He holds 22 US patents, has contributed to IEEE standards development and has written numerous articles in technical journals. He is a Fellow of the Indian National Academy of Engineering and a recipient of the VASVIK Award for Industrial Research in 2011.

All Tutorials will be scheduled on 13 December 2019

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