Dr. Hamada Naoki

Senior Researcher, Artificial Intelligence Laboratory
Fujitsu Laboratories Ltd., Japan

Title: Evolutionary Multi-objective Optimization and Topological Data Analysis for Designing Innovative Products

Evolutionary Computation (EC) and Machine Learning (ML) are excellent tools to model, analyze and optimize various kinds of industrial problems. Since real-world problems often involve conflicting objectives to be optimized (e.g., cost vs. performance), we need to consider a trade-off between objectives. While such a trade-off surface can be obtained by using Evolutionary Multi-objective Optimization (EMO) algorithms, the dimensionality of the surface becomes higher as the number of objectives grows. Thus after optimization, additional analysis and visualization are required for understanding the trade-off. This talk introduces an emerging ML technique to analyze EMO outcomes: Topological Data Analysis (TDA), originated from...

Mr. Sumit Misra

General Manager, RS Software (India) Limited, Kolkata, India
RS Software (India) Limited, Kolkata, India

Title: Applied Data Stream Analytics

Abstract: Business application of Data Stream Analytics opens up different types of challenges. The spectrum covers the infrastructure components as well as software solution components both for online and offline processes. While today we have a very large set of technology in AI, ML and related areas, selection of the techniques become extremely important for the business solution. As the businesses starts with deterministic methods – predominantly rule based, there is a specific need to draw a pathway from deterministic to non-deterministic models. An aspect that has to be under consideration is that the models and profiles “drift” with time as well as there are cyclic relevance of models based on seasonal activities. These and much more become...