ODSC India 2019 Warm-Up: Deep Real Learnathon

ODSC India 2019 Warm-Up: Deep Real Learnathon

Presented By ODSC India
ODSC India
ODSC India

Aditya Bhattacharya

Aditya is currently working as Data and Cloud Platform Engineer in West Pharmaceuticals in Bangalore, India. Being an ex-Microsoft employee, Aditya is an enthusiastic learner, who loves to explore new technologies and tries to grasp the in-depth knowledge of the concepts used in them. Aditya has roughly 4 years of experience in domains like Internet of Things (IoT), Machine Learning, Robotics and Cloud Computing. Currently, he is working on a research project to compare performance of Deep Learning Algorithms Variational Auto Encoder (VAE) and Deep Convolutional Generative Adversarial Networks (DCGAN) for generating pencil sketch images. 

Joy Mustafi

Joy Mustafi is Director and Principal Researcher at Salesforce, primarily responsible for leading the Salesforce Einstein and other intelligent cloud platform in India. Joy has overall seventeen years of experience in corporate, research and academic world. Had worked as Principal Applied Scientist at Microsoft - Artificial Intelligence and Research, Data Science and Machine Learning. Was with IBM for a decade as Data Scientist, and involved in the Business Analytics and Optimization, Watson Solutions, IT Operations Analytics etc. Got the Research Fellowship Award in Computer and Communication Sciences from Indian Statistical Institute. Collaborated with the ecosystem by visiting around twenty-five leading universities in India as visiting faculty, guest speaker, advisor, mentor, project supervisor, panelist, academic board member, curricula moderator, paper setter and evaluator, judge of events like hackathon etc. Supporting around fifteen start-ups and non-profit forums being in the board or as consultant for data sciences.

Vivek Singhal

A leading Data Scientist and researcher with expertise in AI and Machine Learning. Also, a Startup Advisor and Industry Consultant having spent many years in USA and India in the high-tech industry. Co-Founder at CellStrat, India's leading Artificial Intelligence startup. Serial Entrepreneurial experience having Co-Founded or advised several startups in prior years including Healthiply.in (AI-driven online health startup), LocVille.com (online furniture and decor) and SalesGlobe (sales CRM). Long experience in telecom and digital industries in Strategy, Mobile Apps/Web, Data Analytics, Systems Integration and Enterprise Mobility, in leading MNCs like IBM, AT&T, Schlumberger, HCL-HP etc.

Shreyas Jagannath

An AI Researcher doing research in experimental AI and theoretical AI and also an active entrepreneur with a mission of AI for social good. Also have an affinity towards AR/VR, Driverless cars, Cognitive sciences.

Presentation Description

Person Identification via Multi-Modal Interface with Combination of Speech and Image Data

Speakers: Aditya Bhattacharya (Data and Cloud Platform Engineer, West Pharmaceuticals), Joy Mustafi (Director and Principal Researcher, Salesforce)

Having multiple modalities in a system gives more affordance to users and can contribute to a more robust system. Having more also allows for greater accessibility for users who work more effectively with certain modalities. Multiple modalities can be used as backup when certain forms of communication are not possible. This is especially true in the case of redundant modalities in which two or more modalities are used to communicate the same information. Certain combinations of modalities can add to the expression of a computer-human or human-computer interaction because the modalities each may be more effective at expressing one form or aspect of information than others. For example, MUST researchers are working on a personalized humanoid built and equipped with various types of input devices and sensors to allow them to receive information from humans, which are interchangeable and a standardized method of communication with the computer, affording practical adjustments to the user, providing a richer interaction depending on the context, and implementing robust system with features like; keyboard; pointing device; touchscreen; computer vision; speech recognition; motion, orientation etc. 

Training Autonomous Driving Systems to Visualize the Road ahead for Decision Control

Speakers: Vivek Singhal (Co-Founder & Chief Data Scientist, CellStrat), Shreyas Jagannath (AI Researcher, CellStrat)

We will train the audience on how to develop advanced image segmentation with FCN/DeepLab algorithms which can help visualize the driving scenarios accurately, so as to allow the autonomous driving system to take appropriate action considering the obstacle views. Learning Outcomes:

  • Understand advanced image segmentation algorithms such as FCN and DeepLab.

  • Learn how the pre-trained image segmentation models related to FCN and DeepLab can be utilized by an autonomous driving system to take decisions on the road.

  • How to use pre-trained models of FCN/DeepLab for inference on new images.