01
Understand Deep Learning Fundamentals
Develop an understanding of the fundamental principles of deep learning and neural networks.
Official NEW2AN 2026 Event
Seeing Through AI: Deep Learning for Computer Vision
Join the NEW2AN 2026 Pre-Conference Workshop and explore the foundations, modern methods, practical applications, challenges and ethical considerations of deep-learning-based computer vision.
Date
21 July 2026
Time
9:30 AM – 12:30 PM
Venue
G906, New Building
Entry
FREE
Date
21 July 2026
Time
9:30 AM – 12:30 PM
Venue
G906, New Building
Participation Fee
Free of Charge
Workshop Overview
Discover How Machines Interpret the Visual World
Computer vision enables machines to interpret and analyse visual information obtained from images and videos. Powered by deep learning, it has transformed applications across healthcare, autonomous driving, security, object detection, image segmentation and three-dimensional scene understanding.
This pre-conference workshop introduces the fundamentals of neural networks and Convolutional Neural Networks (CNNs). It also explores contemporary computer vision techniques, including generative models and 3D reconstruction.
Participants will additionally examine practical topics such as transfer learning, data augmentation and the limitations, robustness challenges and ethical considerations associated with AI-based vision systems.
The session combines conceptual foundations with practical insights,
making it suitable for both newcomers and participants seeking to
strengthen their knowledge of modern computer vision.
Topics Covered
01Neural Networks
02Convolutional Neural Networks
03Image Classification
04Object Detection
05Image Segmentation
06Generative Models
07Transfer Learning
083D Scene Reconstruction
Learning Outcomes
Key Workshop Objectives
The workshop is designed to build foundational understanding while introducing practical approaches and current developments in computer vision.
02
Learn How CNNs Process Images
Explore how Convolutional Neural Networks support image classification, object detection and image segmentation.
03
Explore Modern Vision Techniques
Examine generative models, self-supervised learning and three-dimensional scene reconstruction.
04
Develop Practical AI Skills
Gain practical knowledge of data preparation, data augmentation, transfer learning and model evaluation.
05
Connect Knowledge to Applications
Understand how deep-learning-based vision systems are applied in healthcare, security, autonomous driving and other fields.
06
Evaluate Challenges and Ethics
Consider the limitations, robustness challenges and ethical implications of artificial-intelligence-based computer vision.
Workshop Leadership
Facilitator and Moderator
Meet the academics leading this pre-conference workshop.
Workshop Facilitator
Prof. Akila Subasinghe
Assistant Professor in Computer Science
School of Computer Science
University of Birmingham Dubai
Ph.D., Western University, Canada
Workshop Moderator
Prof. Eranga Wijesinghe
Professor
Department of Electrical and Electronic Engineering
SLIIT
Ph.D., Kyungpook National University, South Korea
Who Should Attend?
Target Audience
The workshop welcomes participants from academia, industry and higher education who are interested in artificial intelligence, computer vision and deep-learning applications.
AI Professionals
Academics
Undergraduate Students
Postgraduate Students
Participation Fee
FREE
Take advantage of this valuable pre-conference learning opportunity at no participation cost.
Contact the Coordinator
Official Announcement
Workshop Poster
Select the poster to open the full-size version in a new browser tab.
NEW2AN 2026 Pre-Conference Workshop – Seeing Through AI:
Deep Learning for Computer Vision
Need More Information?
Contact the workshop coordinator for additional information regarding attendance, venue arrangements or participation.
Workshop Contact
Mr. Amila Karunanayake
+94 77 443 9069