WELCOME TO WORKSHOP ON BIG DATA ANALYTICS IN AEROSPACE DOMAIN

Exploring the Wonders of Science

Data analysis is essential task in aviation industry. As a result, big data analytics has unlimited scope in aviation sector. A plethora of sensors are an integral part for an aircraft which are used to collect different data like altitude, route distance, stability, weather etc. In general, big data in aviation sector contains data of high volume, high velocity, unstructured, and data from multiple sources in different forms. The aviation industry also use Internet of Things (IoT) to collect humongous amounts of data. All these combinations of large volume of data adds several challenges to make efficient decision in real-time. Challenges include the capture of data, storage, sharing, analyze, and view. This type of data requires new forms of analysis using artificial intelligence for optimization, decision-making, and knowledge discovery.

The motivation of organizing this workshop is to integrate the ideas of big data analytics in aerospace domain using machine learning methods and data-driven optimization. The researchers in aviation industry always try to adopt new tools, techniques, and technologies and as a result big data based analysis is a field of attraction for the improvement of overall performance across a range of different operations. Big data is becoming popular due to the continuous developments of high-speed computer. The data is increasing rapidly everyday so handling this much data becomes more and more difficult.

RESEARCH TOPICS:

Artificial intelligence (AI) and Machine Learning (ML) for aerospace applications
Digital twins using big data analytics
Structural health monitoring, Condition monitoring and Decision support systems
Modeling and optimization of Processes
Tool chain integration and system integration
Characteristic fault features,
Identification of fault diagnosis using multi scale method
Online health monitoring
Fault classification and feature selection for system diagnosis
AI for Air and Space Traffic Management and Operations
Soft computing-based analysis for aerospace
Big data for hypersonic aircraft design
Internet of things (IoT) in big data
Data Security and Privacy
Distributed computing of sub-system maintenance data and aggregating the results in system level

IMPORTANT DATES:

Oct 1, 2021: Due date for full workshop papers submission

Nov 1, 2021: Notification of paper acceptance to authors

Nov 20, 2021: Camera-ready of accepted papers

Dec 15-18, 2021: Workshops

PROGRAM CHAIRS

Rituparna Datta, Independent Researcher

Email: rituparndatta@gmail.com
Debiprosad Roy Mahapatra, Indian Institute of Science

Email: roymahapatra@iisc.ac.in

PROGRAM COMMITTEE MEMBERS

Subhash C. Bagui, West Florida University
William Hsu, Kansas State University
Rommel Regis, Saint Joseph’s University
Michal Przewozniczek, Wroclaw University of Technology
Vinayak Gaonkar, Boeing
Venkatesh Chari, Veteran, Bluedirt Aviation
Subha Saha, L3 Communications
Ganapati Mallya, GKN Aerospace