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The Interdisciplinary Decision Sciences & Analytics Lab (IDeAL) is a Centre of Excellence at the Indian Institute of Management Visakhapatnam. This Lab is dedicated to academic research, industrial/Govt. consultancy, product development and training to support inter-disciplinary research using the innovations of artificial intelligence, machine learning, deep learning, cloud computing, graph analytics, game theory, cyber-physical systems, pervasive computing etc. while keeping Mathematical Optimization and Data Science as the core in the approach of solving the inter-disciplinary problems faced by India and other emerging economies.

IDeAL Lab
 


Knowlege Center

Knowlege Center

A space for students, scholars and practitioners to come together for knowledge creation and dissemination.


Knowlege Sharing

Knowlege Sharing

Through seminars and training programmes, a good knowledge sharing for the capacity-building of learners to ensure the sustainability of individuals, teams, and organization.


Consultancy and Advisory

Consultancy and Advisory

Joint research projects with Government and industry for common goals and maximizing the outcome for the stakeholders.

 

Thrust / Applied Areas:

 

Technology and Platform

R
R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modeling, statistical tests, time series analysis, classification, clustering, etc.

Python has some libraries that support statistical modeling (Scipy and Numpy), Scikit-learn, a library of machine learning techniques very useful to data scientists. For visualization Matplotlib and Python being very robust languages and ingretable to other enterprise systems.

MATLAB makes data science easy with tools to access and preprocess data, build machine learning and predictive models, and deploy models to enterprise IT systems.

AMPL
The AMPL modeling language and system is for a comprehensive range of research applications that use optimization as a modeling paradigm.

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