RIIS EOY Poster Competition

RIIS Hub students took part in a Poster competition during our end of year workshop, with judges ranking entrants on 2 key qualities:
* Effective communication when describing their research: Actively engagement with the audience, inviting questions and spurring discussions
* Poster is visually attractive, well-balanced with text and graphics enhancing the understanding of the content

Winning Poster: Vladislav Alekseev
Research Poster Title: Seismic Data Denoising with a Single-Shot Deep Learning Approach: Double-DIP
Research Insight:
Denoising is an essential step in seismic data interpretation. We proposed a novel deep learning approach where one neural network predicts the clean signal while another estimates the original noise. This single-shot method requires no additional training data, working directly on a single image. It effectively preserves structural information while achieving superior denoising performance.
Industry partner on this project: Kumul Petroleum

Runner Up Poster: Amir Fila
Research Poster Title: A Graph Theory Approach for Aerial Point Cloud Segmentation and Processing
Research insight:
The majority of research on aerial point cloud data segmentation uses the term ‘complexity’ vaguely by abstractly assigning higher complexity to those point cloud datasets with higher computation requirements. As part of my PhD research, I aim to provide a mathematical approach, leveraging graph theory and Laplacian matrix analysis, to address the complexity elements inherent in aerial LiDAR captures. This approach will serve as a valuable tool for understanding complexity across different sections of a given point cloud dataset, ultimately aiding in noise recognition and boundary detection processes.
Industry partner on this project: Woolpert Asia-Pacific / Woolpert

Congratulations both on your work. We also thank our industry partners for supporting RIIS Hub research, practical research application and educational opportunities.

Vlad and Amir are pictured with their posters as they are congratulated by RIIS Hub colleagues: Hub Director Prof. Nasser Khalili, Hub Deputy Director Prof. Abbas Rajabifard, and Hub Chief Investigators Prof. Sisi Zlatanova and Prof. Bijan Samali.