Department of Physics colloquia: Dr Sanjay Padhi

Date: 
10 Nov 2020 - 2:15pm
Venue: 
Online
Room: 
Via Zoom
Audience: 
Specialised / research interest

Predictive analytics using Amazon Web Services

Dr Sanjay Padhi, Amazon Web Services

Predictive analytics is a set of techniques that are fundamental to large organisations like Amazon. Methods such as machine learning are used in many aspects of life, including healthcare, education, and financial modelling. This talk will provide a range of studies using predictive analytics including a detailed overview of methods such as machine learning (ML) and deep learning using AWS. Fully managed artificial intelligence services to help researchers build, train and deploy ML models in various domains including computer vision and natural language processing will also be outlined. Supervised, unsupervised and reinforcement learning-based frameworks and their implications in the fields of scientific computing, medical imaging, cancer detection, diabetic retinopathy, and voice-enabled solutions to improve management of chronic diseases will be discussed. A few examples will be drawn from the Large Hadron Collider (LHC) at CERN, IceCube Studies, and NASA’s solar superstorms research. Advancements in quantum computing technologies fostering innovations will also be highlighted. The AWS Research Initiatives with funding agencies such as the National Science Foundation (NSF) and National Institutes of Health (NIH) in scientific and biomedical sectors, as well as the AWS research credit program will be outlined.

Dr. Sanjay Padhi leads AWS Research Initiatives including various federal research programs such as AI/ML, Big Data and Quantum Computing in collaboration with the National Science Foundation, National Institutes of Health and other government agencies. Dr. Padhi has more than 15 years of experience in large-scale distributed computing, data analytics and machine learning, and is the co-creator of workload management systems, currently used for all the data processing and simulation activities by the CMS collaboration, one of the largest experiments in the world at CERN, consisting of more than 180 institutions across 40 countries. He also co-founded the Computing Grid project at Deutsches Elektronen-Synchrotron (DESY), Germany before joining CERN. Dr. Padhi obtained his PhD from McGill University in High Energy Physics and is also currently appointed by the Dean of Faculty as an Adjunct Associate Professor of Physics at Brown University.

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