Here, the different problem statements I have studied since 2010 are listed.
In airborne/mobile/UAV LiDAR point cloud analysis,
Uncertainty determination/estimation in the semantic classification of point clouds
Digital twin creation using geometric reconstruction of buildings and roads from point clouds
Multiscale methods to improve the efficiency of handcrafted features for semantic classification
Visualization tools and techniques for LiDAR point clouds using high-performance computing (CUDA programming, Apache Spark-Cassandra framework)
Fusion of Multimodal data from LiDAR and camera sensors
Local geometric descriptors to capture the uncertainty in the geometric classification of point clouds
Global descriptors to compare the semantic information in point clouds
In geospatial and satellite image analysis,
Multi-hazard susceptibility mapping at the regional scale
Flood extent mapping from SAR images using ensemble methods
Scaling up flood susceptibility mapping using data parallelism
Fusion of SAR and multispectral image data for local climate zone classification problems
Air pollution data analysis
In population studies,
Gaze tracking analysis of cognitive load on respondents to online health surveys
Visualization and statistical analysis of national-level occurrences of multiple malnutrition conditions in children under five
Combined question-level analysis of population malnutrition data from two nationwide surveys, focusing on children under five
In the analysis of visualizations,
Shapefile extraction and summarization from cartographs (isoclines and choropleths)
Data extraction from images of visualization using image processing methods
Data extraction/Visualization redesign/Chart summarization workflows involving OCR, data extraction methods, NLG, etc.
Data extraction from images of visualization using 2D tensor fields
In network analysis,
Predicting co-association of countries in migration network (dynamic, sparse, directed networks)
Community detection in a multi-layered co-authorship network
Generation of similarity layers in small-world networks
In biomedical data analysis,
Community detection from the human functional connectome derived from fMRI using ensemble methods
Gene subspace determination from multi-omics data (DNA methylation - mRNA expression of oncogenes in TCGA) using multi-layer network analysis and ensemble methods
(Oncological) Diseasome construction and visualization
Tumor segmentation from Whole Slide Imaging (WSI) data
In vehicle/automotive/road-traffic data analysis,
Reconstruction of the 3D virtual world using monocular traffic images
Ensemble methods for 3D object detection from 3D automotive LiDAR point clouds
Road geometry extraction from 3D automotive LiDAR point clouds