Tuhin Sharma
Cofounder and Chief Technology Officer, Binaize

Tuhin Sharma is a cofounder and CTO of Binaize, an AI-based firm. Previously, he was a data scientist at IBM Watson and Red Hat, where he mainly worked on social media analytics, demand forecasting, retail analytics, and customer analytics, and he worked at multiple startups, where he built personalized recommendation systems to maximize customer engagement with the help of ML and DL techniques across multiple domains like fintech, ed tech, media, and ecommerce. He’s filed five patents and published four research papers in the field of natural language processing and machine learning. He holds a postgraduate degree in computer science and engineering, specializing in data mining, from the Indian Institute of Technology Roorkee. He loves to play table tennis and guitar in his leisure time. His favorite quote is, “Life is beautiful.”

Sessions

16:00–16:40 Thursday, 17 October 2019

Location: Blenheim Room - Palace Suite

Anomaly detection in smart buildings using federated learning

Models and Methods

Secondary topics: Data, Data Networks, Data Quality, Ethics, Security, and Privacy, Machine Learning, Machine Learning tools, Mobile Computing, IoT, Edge

Tuhin Sharma (Binaize), Bargava Subramanian (Binaize)

Average rating:

(4.50, 2 ratings)

There's an exponential growth in the number of internet-enabled devices on modern smart buildings. IoT sensors measure temperature, lighting, IP camera, and more. Tuhin Sharma and Bargava Subramanian explain how they built anomaly-detection models using federated learning—which is privacy preserving and doesn't require data to be moved to the cloud—for data quality and cybersecurity. Read more.