Keynote: Systemic Machine Learning and classification systems. (Real-life applications)
Parag Kulkarni, PhD, DSc, CEO and Chief Scientist, EKLaT, Pune, India

Outline: How we can make system intelligent to handle real life problems like water management, energy management and traffic management? How can we solve some of the pressing problems where we want system to learn from multiple inputs? How to make system to classify in dynamic scenario? These are some of the key questions those will be discussed during this talk. We need our Machine Learning to be systemic. We need it is to be adaptive and incremental. What is systemic Machine Learning? This talk will focus on different aspects of systemic ML while stressing on its need. Another aspect of this talk is description of knowledge innovation and practical aspects regarding building such a systemic machine learning solution. The talk will describe some of such systems and products with case studies. This talk will focus on building intelligent products and solutions with systemic classification and Machine Learning techniques.

Bio: Dr. Parag is machine learning researcher, innovation strategist and keynote speaker. Through his research in ML, strategic consultations and innovative leadership Parag turned around fortune of more than one dozen startups in last two decades. Parag is Founder and CEO of the EKLaT. He holds PhD from IIT Khargpur and management education from IIM Kolkata. UGSM Monarch Business School, Switzerland conferred DSc - higher doctorate on him for his work on strategic knowledge innovation. He is inventor of over half a dozen patents, published over 250 research papers and written more than one dozen books. Parag is the author of "Knowledge Innovation Strategy - Why Cats don't Take Part in Rat Race" - Bloomsbury, "Reinforcement and Systemic Machine Learning for Decision Making" - IEEE/Wiley and is co-author of "E-Business"- OUP, "AI - Building Intelligent Systems" - PHI, "IT Strategy" - OUP, Mining Unstructured Data - Big Data Perspective and "Deliverance from Success". Parag delivered more than 100 keynote addresses and numerous talks on strategy and managing start-ups and delivered extraordinary impact on strategic perspective of thousands of professionals. Parag is consultant to over two-dozen organizations and has played key part in building more than one dozen commercially successful innovative products. He is visiting professor and Adjunct professor at many institutes of repute like IITs, IIMs. COEP, Masaryk University, etc. He is associated as consultant and mentor with more than one dozen organizations.

Title of Tutorial: Computer Aided Diagnosis using Multiple Instance Learning
Dr. Kumar Rajamani, Architect, Robert Bosch, Bangalore

Length of the tutorial: Half-day

Abstract: This talk would present the motivation for Multiple Instance Learning/Weak Supervision. The applications of Weak Supervision in computer aided diagnosis and in medical applications would be highlighted. The algorithm steps for Multiple Instance Learning would then be presented. miGraph algorithm which is currently the best performing MIL algorithm for medical application would be the focus of the presentation. Finally the performance of miGraph on couple of medical applications would be shared.

Tutorial Outline:

  • Brief Motivation for Multiple Instance Learning - Availability of plenty of Noisy Label data
  • Computer Aided Diagnosis Applications using Multiple Instance Learning - Barrets Cancer and Diabetic Retinopathy
  • Overview of the Multiple Instance Learning Algorithms
  • Brief Description and Hands on Sessions for Feature Extraction Methods
  • miGraph Algorithm - Few Hands on Examples of mi-Graph applications
  • Application of miGraph for computer assisted medical diagnosis - Few case studies

Bio: Dr. Kumar Rajamani is Architect at Robert Bosch Engineering and Business Solutions. Prior to joining Bosch he spent three years at GE Global Research (GRC), with the Medical Image Analysis lab. He was primarily involved in quantitative imaging of cancer. Earlier to GE, Kumar was Senior Scientist at Philips Research and Head of IT-Department at Amrita University. His research focus includes Medical Image Analysis, Health care technologies for emerging markets. He has seven patents filings. Kumar completed his Ph.D. in Biomedical Engineering from University of Bern, Switzerland.

Title of Demo: Raksha SafeDrive - India's First Smart Road Safety PlatformLearning
Prasad Pillai, CEO & Co-Founder, Raksha SafeDrive

Abstract: The Smart platform involves a SafeDrive - an Internet of Things (IoT) car gadget connected to RakshaNet - A network of emergency services. SafeDrive is a tamperproof standalone device capable of automatic crash detection, GPS tracking, two-way voice communication, reporting basic telemetrics and driver performance evaluation. RakshaNet is a network of road emergency services (ambulance, police, fire, roadside assistance, notification to family etc.) accessible at the touch of a button from SafeDrive. Our goal is to revolutionize how Indians call for help and how India responds to road emergencies. For more information please visit

Bio: Prasad Pillai is the prime-mover and chief strategist at eLsys. His passion is to build technology solutions for everyday problems of the masses. Prasad has spent over a decade living & working in the USA and during one of his visits to India; he was involved in a road mishap that could have seriously injured several people. That experience inspired him to work towards building a Smart Road Safety Platform that can effectively manage road emergencies and possibly avert accidents too. He heads the engineering efforts at Raksha SafeDrive.

Title of Demo: miBEAT -Biomedical Engineering Application Toolkit: An Innovative Platform to Obtain Medical Grade Physiological Signals over Android Phones
Abhinav, MD and CEO of Cardea Biomedical Technologies (P) Ltd., New Delhi

Abstract: miBEAT ( is an innovative platform used to learn and develop systems for obtaining Medical Grade signals in real time over Smart Phones. Designed for Electronics, Biomedical, Signal Processing and Computer Science Engineering students, Researchers and Faculties, one can learn to obtain High Definition Noise-free Signals from 2 or 3 electrodes and also by mere touch!

Developed by Cardea Labs with the support of Dept of Scientific and Industrial Research, Govt. of India, Dept of Biotechnology, Govt of India and through the collaborating universities of US and India, Cardea Labs has garnered a lot of accolades in the recent past which includes the prestigious WIRED (UK) which chose Cardea Labs as one of the top 5 Healthcare Startups from East. The system has also been tested against the Gold Standard at AIIMS, New Delhi. The device has been showcased at IEEE HealthCom - 2015 at Boston and at NIH-IEEE Strategic Conference on Healthcare Innovations and Point-of-Care (POC) Technologies for Precision Medicine at Maryland this year. Universities use miBEAT to set up Research Labs and also establish Center-of-Excellence in Signal Processing and Instrumentation to design and develop systems in the area of m-health, tele-medicine and Internet of Things in Healthcare.

Bio: Abhinav is a first generation Medical Device Entrepreneur who has been rated among the top 100 Global Innovators for consecutive years of 2013 and 2014 by the Editors of Technology Review, Massachusetts Institute of Technology, Cambridge, US under the TR35 Global Innovation award. Credited with the development of India's first Diagnostic Quality ECG on 'all' affordable Mobile Phones, he has been a sought out speaker at several prestigious platforms inc FICCI and TEDx. He has been awarded by MSME for the development of a highly affordable mechanical nebulizer which works without electricity. He is also awarded by DSIR and by DBT Govt of India to develop diagnostic quality medical devices. With several research papers and patents under his belt, Abhinav is also the CEO of Cardea Labs which produces highly trained Biomedical Engineers through hands-on training provided by experts who secure seats in Tier I Universities in US, UK and Germany for their higher education.