Projects and Research

• 05/2024 – present Next-Generation Teams
  • Develop and implement AI-driven methods to enhance team performance and collaboration in the Next Generation Teams project, focusing on understanding and predicting human decision-making through plan recognition, large language models (LLMs), and reinforcement learning.
• 06/2023 – 08/2024 Improving the Interpretability of Deep Reinforcement Learning through Semantic Clustering
  • Develop methods to enhance the interpretability of deep reinforcement learning by leveraging semantic clustering, focusing on feature dimensionality reduction, online clustering, and the analysis of internal model dynamics.
• 12/2022 – 06/2024 Scientific Knowledge Extraction and Model Analysis
  • Develop models based on CNN and Transformer architectures to extract and interpret equations from scientific literature, and propose methods for equation comparison and analysis to align equations with code implementations and detect errors.
• 07/2020 – 11/2022 Theory-of-Mind based Cognitive Architecture for Teams
  • Design and develop cognitive models for the ToMCAT project, focusing on enhancing team collaboration through AI-driven understanding of individual and collective intentions and behaviors.
• 02/2020 – 06/2020 Explainable AI
  • Develop explainable Artificial Intelligent Systems (AIS) through complementary approaches that converge to provide a systematic solution for making AIS understandable to humans.
• 02/2020 – 06/2020 Social Robotics for The Elderly
  • Primarily responsible for robot localization while conducting research on reinforcement learning.
• 09/2018 – 02/2019 Research on Multidimensional Security Situation Assessment and Business Impact Analysis of Civil Aviation Network Information
  • Develop and implement deep learning-based methods for multidimensional security situation assessment and business impact analysis of civil aviation network information systems.
• 07/2018 – 09/2018 Research on Analysis of Air Traffic Flow Clustering
  • Conduct research on air traffic flow analysis using clustering techniques, focusing on data preprocessing, similarity measurement, and pattern identification to optimize air traffic management.
• 01/2018 – 01/2019 Research on Distributed Chirp Source Localization Technology
  • Develop algorithms for signal processing and direction-of-arrival estimation.
• 01/2016 – 01/2019 Research on the Key Technology of Localization for Mobile Underwater Acoustic Sensor Networks (UASN) in Shallow Ocean
  • Conduct research on algorithm design for acoustic signal processing.