Important Dates
Early Bird Registration :2nd August 2026
Paper Submission Deadline :7th August 2026
Last Date of Registration : 17th August 2026
Date of Conference : 1st - 2nd September 2026
Conference Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.
SDG 3 — Good Health and Well-being
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 13 — Climate Action
SDG 15 — Life on Land
SDG 16 — Peace, Justice and Strong Institutions
Track 01
Advancements in Deep Learning for Image Recognition
This track focuses on the latest developments in deep learning techniques specifically tailored for image recognition tasks. Researchers are invited to present novel architectures and methodologies that enhance the performance of image recognition systems.
Track 02
Object Detection and Segmentation Techniques
This session will explore cutting-edge approaches in object detection and image segmentation, emphasizing their applications in various domains. Contributions that demonstrate improvements in accuracy and efficiency are particularly encouraged.
Track 03
Medical Image Analysis Using AI
This track highlights the role of artificial intelligence in the analysis of medical images, including diagnostic imaging and treatment planning. Papers that showcase innovative algorithms and their clinical implications are welcome.
Track 04
Computer Vision Applications in Remote Sensing
This session will delve into the application of computer vision techniques in remote sensing imagery analysis. Researchers are invited to discuss advancements that improve the interpretation of satellite and aerial imagery.
Track 05
Convolutional Neural Networks for Visual Recognition
This track is dedicated to the exploration of convolutional neural networks (CNNs) and their application in various visual recognition tasks. Contributions that present novel CNN architectures or training methodologies are encouraged.
Track 06
Face Recognition Technologies and Challenges
This session will address the latest advancements in face recognition technologies, including algorithmic improvements and real-world applications. Papers discussing challenges such as privacy, security, and bias in face recognition systems are particularly relevant.
Track 07
Pattern Recognition and Feature Extraction
This track focuses on the methodologies for pattern recognition and feature extraction in image data. Researchers are invited to present innovative techniques that enhance the robustness and accuracy of feature extraction processes.
Track 08
Real-Time Image Processing Solutions
This session will explore real-time image processing techniques that enable immediate analysis and interpretation of visual data. Contributions that demonstrate practical applications and performance optimizations are highly encouraged.
Track 09
Adversarial Robustness in Image Recognition
This track addresses the critical issue of adversarial robustness in image recognition systems, focusing on methods to enhance resilience against adversarial attacks. Papers that propose novel defense mechanisms or evaluate existing ones are welcome.
Track 10
AI-Driven Innovations in Visual Recognition Systems
This session will highlight innovative AI-driven approaches to visual recognition systems across various industries. Researchers are encouraged to share insights on the integration of AI technologies to improve system performance and user experience.
Track 11
Trends and Future Directions in Data Science for Image Analysis
This track will explore emerging trends and future directions in data science as it pertains to image analysis. Contributions that discuss the intersection of data science methodologies and image processing are particularly sought after.