Liang Tian - Ph.D. Midway Evaluation in Computational Engineering
Liang Tian presents his PhD midway evaluation in Computational Engineering at the University of Iceland on 13 May 2025.
Event details
- Date and time: 13 May 2025, 13:30–15:30 (Iceland time / UTC).
- Venue: Online on Zoom.
- Admission: Free.
Thesis title
Advancing Large-Scale Remote Sensing Applications with Scalable AI on Modular Supercomputers
Abstract
Remote Sensing (RS) is a process of sensing (detecting and monitoring) the physical characteristics of an area by means of measuring the reflected and emitted radiation from a satellite or an airborne sensor. It helps to classify different physical features that occupy the surface of the Earth (e.g., land-cover classes) and to describe the use of the land surface by humans (i.e., land-use classes). The use of Machine Learning (ML) and Deep Learning (DL) in the context of classification has been the topic of research for quite some time now due to the possibility of generating accurate classification results. The large-scale data generated from RS technologies requires significant computing power to process and analyze. To address these needs, parallel algorithms that can scale on heterogeneous and high-performance computing technologies, including High-Performance Computing (HPC) platforms, will be used. HPC refers to using supercomputers or computer clusters to perform complex computational tasks.
Advisor and doctoral committee
Advisor:
- Dr. Morris Riedel, Professor, Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland.
Other members of the doctoral committee:
- Dr. Gabriele Cavallaro, Associate Professor, Faculty of Electrical and Computer Engineering, University of Iceland.
- Dr. Rocco Sedona, Deputy Head of Simulation and Data Lab (SDL) Artificial Intelligence and Machine Learning for Remote Sensing, Forschungszentrum Jülich, Germany.
