AIRS 2024

06 - 12 June 2024 Karaikal, India
Join us for a high-end workshop exploring the latest in AI technologies and their applications in remote sensing.
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Important Notice

All attendees are required to bring their own laptops. No registration fees are required, but an official NOC from concerned authorities is mandatory for participation.

Who Can Attend?

This workshop is designed for Ph.D., PG, and Final year UG students, and a few reserved seats are available for faculties from approved institutions and universities.


Course Outline

  • Introduction to Remote Sensing (RS)
  • Overview of Artificial Intelligence
  • Machine Learning Models for RS
  • Deep Learning Models for RS
  • Classification and Object Detection
  • Change Detection and Monitoring
  • Multi-sensor Data Fusion
  • Land Use and Land Cover (LULC) using AI
  • Generative AI for RS, Explainable AI for RS
  • Quantum AI in RS
  • Hyperspectral and LiDAR Data Analysis
  • Operational Remote Sensing with AI

About Us

NIT Puducherry Campus


About NIT Puducherry


National Institute of Technology Puducherry (NITPY) is an autonomous public engineering institute located in Karaikal, an enclave of Puducherry. As one of India's National Institutes of Technology, NITPY holds the status of an Institute of National Importance. Established in 2010, the institute actively participates in academic and research activities, aiming to excel in science, engineering, and technology.

CSE Department


About the CSE Department


The Department of Computer Science and Engineering at NIT Puducherry offers robust programs at the undergraduate and postgraduate levels. It boasts a curriculum that blends foundational and advanced topics, including Artificial Intelligence, Machine Learning, and Data Sciences. With cutting-edge facilities and a dynamic academic environment, the department fosters innovation and research.

AI Workshop


About the Workshop


This SERB-sponsored workshop, "Artificial Intelligence Models for Remote Sensing and its Applications," aims to explore and enhance the applications of AI in the field of remote sensing. The workshop includes sessions on the latest AI technologies, led by experts and scholars from prominent institutions and industries, enhancing both theoretical and practical knowledge.


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Speakers

Dr Manthira Moorthi S
Scientist-G
GROUP DIRECTOR Space Applications Centre ISRO
Dr Siti Khairunniza Bejo
Associate Professor
Universiti Putra Malaysia
Dr Arun Rajkumar
Assistant Professor
Indian Institute of Technology Madras
Dr Shyam Lal
Associate Professor
National Institute of Technology Karnataka
Dr S Prabu
Associate Professor
Pondicherry University
Dr Arun PV
Assistant Professor
Indian Institute of Information Technology Sri City
Dr Anand Kumar M
Associate Professor
National Institute of Technology Karnataka
Dr Jeny Rajan
Associate Professor
National Institute of Technology Karnataka
Dr Mookambika
Assistant Professor
Anna University Tirunelveli
Dr Prabhavathy P
Professor
Vellore Institute of Technology
Dr Alkha Mohan
Assistant Professor
Indian Institute of Information Technology Tiruchirappalli
Velmurugan J
Senior Software Engineer
Tech Mahindra Bangalore
Dr Venkatesan M
Assistant Professor
National Institute of Technology Puducherry
Dr Lakshmi Sutha G
Associate Professor
National Institute of Technology Puducherry
Dr Surendiran B
Associate Professor
National Institute of Technology Puducherry
Dr Malaya Kumar Nath
Assistant Professor
National Institute of Technology Puducherry
Dr Ansuman Mahapatra
Assistant Professor
National Institute of Technology Puducherry
Dr Kumaran P
Assistant Professor
National Institute of Technology Puducherry
Dr Sanjay Bankapur
Assistant Professor
National Institute of Technology Puducherry
Dr Sivakumar Ramalingam
Assistant Professor
National Institute of Technology Puducherry
Jayakrishnan A
Research Scholar
National Institute of Technology Puducherry
Prabakaran Kannan
AVP Technology
Innoviti Technologies Pvt Ltd. Chennai

Schedule

09:45 - 11:15

Inauguration Ceremony

11:30 - 13:00

Dr. Manthira Moorthi S

RS Data Processing and AI/ML

Conference Room
Remote sensing (RS) data processing, combined with artificial intelligence and machine learning (AI/ML), enhances environmental monitoring, agriculture, disaster management, and urban planning by analyzing satellite and aerial data to detect patterns and make accurate predictions efficiently.

13:00 - 14:00

Lunch Break

14:00 - 15:30

Dr. Ansuman Mahapatra

Fundamentals of Autoencoder

Conference Room
Autoencoders are neural networks that encode data into a compressed form and then decode it back to the original, enabling applications like dimensionality reduction, anomaly detection, and feature learning.

15:45 - 16:30

Dr. Venkatesan M

Introduction to AI Tools

Conference Room
Discover how AI tools are revolutionizing remote sensing, automating image classification, detecting anomalies, and extracting valuable insights from vast datasets.

09:45 - 11:15

Dr. Siti Khairunniza Bejo

Overview of AI

Conference Room
Discover how Artificial Intelligence (AI) revolutionizes remote sensing, enabling automated image analysis, land cover classification, change detection, and advanced data insights.

11:30 - 13:00

Dr. Anand Kumar M

Introduction to Deep Learning

Conference Room
Deep learning, a form of AI, uses layered neural networks to extract complex patterns from vast amounts of data, driving breakthroughs in image analysis, language processing, and beyond.

13:00 - 14:00

Lunch Break

14:00 - 15:30

Dr. Mookambika

Hyperspectral Image Analysis

Conference Room
Hyperspectral image analysis unlocks a wealth of information by analyzing the light spectrum, enabling precise material identification and advanced environmental monitoring.

15:45 - 16:30

Jayakrishnan A

Basics of RS

Conference Room
Learn the core principles of "Basics of Remote Sensing," where you'll explore technologies that transform electromagnetic radiation into valuable insights about natural landscapes, urban structures, and climate patterns.

09:45 - 11:15

Dr. Lakshmi Sutha G

AI/Ml for RS Applications

Conference Room
Discover how AI/ML algorithms are transforming remote sensing applications. Explore their use in precision agriculture, disaster management, urban planning, and climate change analysis.

11:30 - 13:00

Dr. Alkha Mohan

AI for Precision Agriculture

Conference Room
Discover the role of AI in precision agriculture as it transforms farming practices. Learn how machine learning models and data analytics enable accurate soil and crop monitoring, optimized resource management, and predictive maintenance, leading to increased productivity and sustainability in agriculture.

13:00 - 14:00

Lunch Break

14:00 - 15:30

Dr. Arun Rajkumar

Introduction to Machine Learning

Conference Room
Dive into the fundamentals of machine learning and understand how it’s shaping the future. Learn about different algorithms, data preprocessing, and evaluation techniques, as well as their application in predictive analytics, computer vision, and natural language processing. A comprehensive guide for newcomers to explore key concepts and build foundational skills.

15:45 - 16:30

Dr. Prabhavathy P

Open Data for RS

Conference Room
Learn how open data is revolutionizing remote sensing by providing free access to satellite imagery and geospatial datasets. This empowers researchers, governments, and industries to analyze environmental changes, monitor resources, and support sustainable development. Discover the best practices and tools for utilizing open data effectively in your remote sensing projects.

09:45 - 11:15

Dr. Prabhavathy

Bayesian Classification for RS

Conference Room
Explore the power of Bayesian classification in deciphering remote sensing data, providing nuanced insights into land cover, environmental changes, and urban development. Harnessing probabilistic frameworks, this seminar delves into optimizing classification accuracy and uncertainty quantification for robust remote sensing applications. Unlock the potential of Bayesian methods to enhance decision-making processes in environmental monitoring and resource management from aerial and satellite imagery.

11:30 - 13:00

Dr. Venkatesan M

ML for Landslide Disaster

Conference Room
Uncover the transformative potential of machine learning in mitigating landslide disasters, leveraging advanced algorithms to predict, detect, and mitigate risks. Delve into innovative approaches integrating satellite imagery, geospatial data, and meteorological factors to enhance early warning systems and resilience strategies. Harness the predictive power of ML models to prioritize vulnerable areas, empower decision-makers, and save lives through proactive disaster management.

13:00 - 14:00

Lunch Break

14:00 - 15:30

Dr. Jeny Rajan

Deep Learning Architecture

Conference Room
Dive into the intricate world of deep learning architectures, where neural networks evolve to tackle complex tasks, from image recognition to natural language processing. Explore the layers of convolutional, recurrent, and transformer networks, unraveling their hierarchical structures and learning mechanisms. From VGG to GPT, delve into the nuances of architectures, understanding how design choices shape model performance and scalability in diverse domains.

15:45 - 16:30

Dr. Venkatesan M

Altair AI Studio

Conference Room
Embark on a journey into Altair AI Studio, a cutting-edge platform revolutionizing AI development and deployment. Experience seamless model training, validation, and deployment pipelines, empowered by intuitive interfaces and powerful tools. With Altair AI Studio's collaborative features and extensive library of pre-trained models, unlock new frontiers in AI innovation across industries, from healthcare to finance.

09:45 - 11:15

Dr. Kumaran P

AI of Things in Agriculture

Conference Room
AI of Things in Agriculture (AIoT) combines artificial intelligence and smart devices to transform farming. AIoT-powered sensors, drones, and robots optimize crop yields, conserve resources, and predict agricultural risks. This technology revolutionizes food production, making it more efficient, sustainable, and resilient.

11:30 - 13:00

Dr. Surendiran B

Explainable AI

Conference Room
Explainable AI (XAI) makes the decisions of artificial intelligence systems transparent and understandable. This builds trust, reveals biases, and improves AI performance, especially in critical fields like healthcare and finance. XAI uses various techniques, from simple rule explanations to complex language models, to shed light on the "black box" of AI decision-making.

13:00 - 14:00

Lunch Break

14:00 - 15:30

Dr. Arun P V

Addressing Resolution Tradeoff in RS: A DL Perspective

Conference Room
Deep Learning (DL) addresses the resolution tradeoff in remote sensing by enhancing spatial resolution (super-resolution), fusing data from different sensors (spatiotemporal fusion), and effectively analyzing hyperspectral images. This allows for the generation of high-resolution images, detailed time series data, and extraction of richer information from the spectral bands, ultimately overcoming the limitations of traditional remote sensing approaches.

15:45 - 16:30

Dr. Velmurugan J

Spatial Data Analysis

Conference Room
Spatial data analysis is the study of geographic data to understand patterns, relationships, and trends related to location. It uses various techniques, including mapping, statistics, and modeling, to uncover insights hidden in spatial information. These insights are crucial for decision-making in fields like urban planning, environmental management, and public health.

09:45 - 11:15

Dr. Shyam Lal

DL Algorithms for Agriculture Application

Conference Room
Deep Learning (DL) algorithms revolutionize agriculture by analyzing images, time-series data, and generating synthetic information. Convolutional Neural Networks (CNNs) excel at identifying crop diseases and weeds, while Recurrent Neural Networks (RNNs) predict yields and optimize irrigation. Generative Adversarial Networks (GANs) create realistic training data, enhancing the capabilities of other DL models in the agricultural domain.

11:30 - 13:00

Dr. Venkatesan M

Change Detection and Prediction Analysis with AI/ML

Conference Room
AI/ML enables effective change detection and prediction analysis by identifying shifts in image, time-series, and text data. It forecasts future trends, detects anomalies, and models scenarios for proactive decision-making. Applications span environmental monitoring, agriculture, finance, and healthcare, improving outcomes across diverse fields.

13:00 - 14:00

Lunch Break

14:00 - 15:30

Dr. Prabu S

Hyperspectral and LiDAR Data Analysis

Conference Room
Hyperspectral and LiDAR data analysis involves combining detailed spectral information (hyperspectral) with precise 3D measurements (LiDAR) to uncover hidden insights. This fusion enables accurate classification of land cover, identification of specific materials, and precise 3D mapping of terrain and structures. Applications range from environmental monitoring and agriculture to urban planning and infrastructure management.

15:45 - 16:30

Dr. Sanjay Bankapur

LLM Models

Conference Room
Large Language Models (LLMs) are AI systems trained on massive amounts of text data to understand and generate human-like language. They can perform various tasks like translation, summarization, question-answering, and even creative writing. LLMs are becoming increasingly powerful and accessible, revolutionizing the way we interact with and process information.

09:45 - 11:15

Dr. Malaya Kumar Nath

Generative Adversarial Networks

Conference Room
Generative Adversarial Networks (GANs) are deep learning models consisting of a generator and a discriminator that compete in a game-like training process. The generator creates synthetic data, while the discriminator tries to distinguish it from real data, leading to both models improving over time. GANs are used to generate realistic images, videos, music, and even text, with applications in art, entertainment, and research.

11:30 - 13:00

Jayakrishnan A

Multi-Sensor Data Fusion

Conference Room
Multi-sensor data fusion combines information from multiple sensors to create a more comprehensive and accurate representation of the environment. This involves integrating data from various sources like cameras, LiDAR, radar, and GPS, each with different strengths and weaknesses. By leveraging complementary information, data fusion improves object detection, tracking, and overall situational awareness in applications like autonomous vehicles, robotics, and surveillance.

13:00 - 14:00

Lunch Break

14:00 - 15:30

Prabakaran Kannan

Quantum AI for RS

Conference Room
Quantum AI for remote sensing leverages quantum computing's power to enhance data analysis and processing capabilities. This technology could revolutionize image classification, feature extraction, and change detection in satellite imagery. Potential benefits include faster processing, improved accuracy, and the ability to analyze complex patterns beyond the reach of classical computers.

15:45 - 16:30

Valedictory Function

Download Schedule

Sponsors & Partners

Organising Committee

The organising committee is responsible for organising the workshop and ensuring that it runs smoothly. They are the ones who make all the decisions about the conference, including the schedule, speakers, and venue.


Chief Patron
Dr. Makarand Madhao Ghangrekar
Director

NIT Puducherry

Patron
Dr. Sundaravarathan S
Registrar

NIT Puducherry

Convener & Coordinator
Dr. M. Venkatesan
Assistant Professor, Dept of CSE
NIT Puducherry
Mobile Number - 8072812907