Accelerating the pace of engineering and science
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Data Analysis and Processing
This track focuses on using MATLAB to access data from files, spreadsheets, databases, test equipment, data acquisition hardware, software, or the web; to explore your data to identify trends, test hypotheses, and estimate uncertainty; and to create customized algorithms and models and publish customized reports. It showcases latest features in MATLAB for parallel computing and GPU computing.
Mathematical Modelling Using MATLAB
11:45–12:30
Sundar Umamaheswaran
MathWorks
Mathematical models are critical to understanding and accurately predicting the behaviour of complex systems.
Acquiring Data from Sensors and Instruments Using MATLAB
12:45–13:30
Chirag Patel
MathWorks
Do you want to test your algorithm with real-world signals and perform analysis on live data acquired from sensors and instruments?
A Video Analytics Solution for Discovering Customer Shopping Behaviour in Retail Stores
14:30–15:15
Harikrishna G. N. Rai
Infosys Limited
This session presents a computer vision–based in-store analytics solution we are developing to infer customer movement patterns by detecting, recognising, and tracking shopping carts.
Numerical Computational Modelling Using Electrical Networks for Cerebral Arteriovenous Malformation
15:30–16:15
Y. Kiran Kumar
Philips Electronics India Ltd.
This session presents a project involving numerical computational modelling using electrical networks for cerebral arteriovenous malformation.
Deploying MATLAB Applications in Excel, Java, and .NET Environments
16:30–17:15
Sundar Umamaheswaran
MathWorks
In this session, we demonstrate how MATLAB Compiler™ and MATLAB Builder™ products can be used to generate standalone executables, Microsoft® Excel® plugins, and Java™ and .NET components.