Zhendong Wang

Zhendong Wang is a Postdoctoral Researcher at the Division of Information Science and Engineering (ISE) within the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology. His research focuses on Explainable Artificial Intelligence (XAI), temporal data mining, and machine learning applications in healthcare. He currently holds an academic affiliation at KTH with no indication of part-time status.

Research Interests:
- Development of interpretable machine learning models for clinical decision support
- Counterfactual explanations for time series analysis in healthcare
- Ethical AI frameworks for medical data interpretation

Teaching Activities:
- Guest Lecturer on Counterfactual Explanations for the DAMI II course at Stockholm University (2023-2024)
- Supervised 3 MSc and 3 BSc theses (2022-2024)
- Teaching Assistant for DAMI II course (2022-2024)

Key Projects:
- A3S: AI-based Asthma App Development (2025–Present)
- EXTREMUM: Explainable ML for Medical Data Knowledge Discovery (2020–2024)

Recent Publications:
Focus on explainable AI techniques for healthcare applications, including counterfactual explanations for time series classification and patient outcome prediction. Notable achievement includes the 2021 Best Student Paper Award at the Artificial Intelligence in Medicine conference.