Research Projects 2018
- An unsupervised census of astrophysical transients in the universe
- Arctic Environmental Data Analytics
- Corpus-wide inference of gene relationships using semantic word representations
- End-to-End Management of Experimental Data Science on Biomedical Molecular Data
- Enhanced Computational Approaches for Seismic Risk Assessment of Infrastructure Networks
- Earthquake rupture predictability and the limitations of early warning
- On-board Image Classification based on Space-Based FPGA Processing
- Online Learning and Decision Making for Real-Time Analytics of Synthetic Aperture Radar (SAR) Data
- Optimizing nanotextured solar cells for realistic weather conditions
- Feature identification for single-cell omics data
- Unravelling the Interior Evolution of Terrestrial Planets Through Machine Learning
Research Projects 2019
- Data fusion using remote sensing data and machine/deep learning techniques to better understand present past and future vegetation dynamics in Central Yakutia
- Facilitating Machine Learning on Super-High Resolution Earth Observation Data for Detecting and Quantifying Arctic Permafrost Thaw Dynamics
- Machine Learning Meets Theoretical Chemistry: Data-driven Analysis of Grapheneoxide
- Data Analytics for Solar Energy Yield and Optimization Possibilities for Load Management of Electric Buses
Research projects 2020
- Building a Photonic Processor for Energy-Efficient AI
- Multi-satellite Approach of Monitoring Atmosphere/Magnetosphere Space Weather Interactions
- Data-Driven Time-Dependent Multiphysics Simulation and Optimization of Electron Solvation from Nanodiamonds
- Data Mining Dynamic Human Behaviors for Flood Risk Assessment in Coupled Human-Environment Systems
- Deep Learning with sparse annotations for the analysis of lung tissue microscopy images
- Dynamic Scheduling of Gamma-ray Source Observations
- Explainable Artificial Intelligence and Trust in the Energy Sector
- Identification of Disease Causing Genetic Variants by Genome-wide Predictions of Human Variant Effects
- Identification of Rock Falls in Mars Reconnaissance Orbiter Images Using Machine Learning
- Quantifying and explaining uncertainty in modeling permafrost thaw under a warming climate