International Conference on Aerospace Engineering and Sensor Data Mining
(ICAESDM-26)

25th October 2026 || Bhubaneswar - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Aerospace Engineering and Sensor Data Mining (ICAESDM), scheduled to be held on 25th October 2026 in Bhubaneswar, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Data Mining.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Advancements in Aerospace Sensor Technologies
    This track focuses on the latest innovations in sensor technologies applicable to aerospace engineering. Discussions will include the integration of advanced sensors in flight systems and their impact on data collection and analysis. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – Data Mining Techniques for Flight Systems Analytics
    This session will explore various data mining techniques tailored for analyzing flight systems data. Participants will examine case studies demonstrating the effectiveness of these techniques in enhancing operational efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 03 – Predictive Maintenance in Aerospace Engineering
    This track will delve into predictive maintenance strategies enabled by data mining and analytics. Emphasis will be placed on methodologies that enhance the reliability and safety of aircraft systems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 04 – Structural Health Monitoring and Data Analysis
    This session will address the role of data mining in structural health monitoring of aerospace structures. Attendees will learn about innovative approaches to detect and analyze structural anomalies. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 05 – Sensor Fusion Techniques for Enhanced Performance
    This track will investigate sensor fusion methodologies that optimize performance in aerospace applications. The discussion will highlight how combining data from multiple sensors can lead to improved decision-making. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Fault Detection and Diagnosis in Avionics Systems
    This session will focus on data mining approaches for fault detection and diagnosis in avionics systems. Participants will explore algorithms and models that enhance fault identification and system reliability. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 07 – Performance Optimization of Aircraft Systems
    This track will examine data-driven strategies for optimizing the performance of various aircraft systems. Presentations will cover analytical methods that lead to enhanced operational capabilities. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Big Data Analytics in Aerospace Engineering
    This session will explore the implications of big data analytics in the field of aerospace engineering. Discussions will include challenges and solutions related to managing and analyzing large datasets. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Machine Learning Applications in Sensor Data Mining
    This track will highlight the application of machine learning techniques in the context of sensor data mining for aerospace. Participants will review successful implementations and their impact on system performance. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Real-Time Data Processing for Flight Operations
    This session will focus on real-time data processing techniques that enhance flight operations. Emphasis will be placed on the importance of timely data analysis for decision-making in dynamic environments. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Integration of IoT in Aerospace Systems
    This track will discuss the integration of Internet of Things (IoT) technologies in aerospace systems for improved data mining capabilities. Participants will explore the benefits and challenges of IoT implementation in aviation. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228