Unleashing the Power of Data: Develop innovative machine learning primitives and algorithms for data analysis, prediction, and decision-making, including deep learning, reinforcement learning, and transfer learning.
Tackling Real-World Challenges: Apply machine learning to solve critical problems in healthcare, finance, climate change, and other domains.
Managing the Knowledge Flood: Develop intelligent systems for data management, knowledge extraction, and information retrieval from large-scale datasets.
Unlocking the Secrets of Life: Apply computational methods to analyze biological data, understand cellular processes, and design new drugs and therapies.
Bridging the Gap between Data and Insights: Develop tools and techniques for visualization, knowledge discovery, and human-computer interaction in diverse information systems.
From Machines to Companions: Build intelligent robots for healthcare, manufacturing, logistics, and search and rescue operations.
Pushing the Boundaries of Autonomy: Develop advanced algorithms and sensors for robot navigation, perception, and decision-making in dynamic environments.
Explainable AI and Fairness: Build trustworthy AI systems that are transparent, fair, and accountable.
The faculty of the computer science department are involved in the following key research areas:
