Lili Jiang

Lili Jiang is an Associate Professor at the Department of Computing Science, Umeå University, where she serves as Director of Studies and Programme Director for the MSc in Computing Science. She holds a PhD in Computer Science with expertise in AI trustworthiness, data mining, and natural language processing. Her research bridges computer science and artificial intelligence, focusing on privacy, fairness, and federated learning systems.

Her research interests center on:

• Developing trustworthy AI systems with emphasis on privacy-preserving techniques
• Ensuring algorithmic fairness in socio-technical decision-making
• Advancing few-shot learning methods for NLP tasks
• Creating robust data federation frameworks for cross-database analysis

Recent publications demonstrate strong focus on few-shot learning (particularly in NLP), privacy-preserving AI, and applied data mining for industrial/environmental systems. Her work consistently addresses real-world challenges through multimodal learning and explainable AI techniques.

She leads the Deep Data Mining research group and collaborates with the Interpresence institute. Key projects include:

• Explainable, Safe, Contact-Aware Planning for Heavy Machinery (XSCAVE, 2024-2028)
• Assessment and Engineering of Equitable AI Systems (2022-2024)
• Privacy-aware Federated Database Infrastructure for Micro-Data Analysis (2018-present)