Aaqib Saeed

Aaqib Saeed is an Assistant Professor in the Department of Industrial Design at Eindhoven University of Technology. His research focuses on Human-Centric AI, Federated Learning, Self-Supervised Learning, and Audio Understanding, with applications in Personal Health. He holds a PhD (cum laude) from TU/e and an MSc (cum laude) from the University of Twente.

Education:

• PhD in Computer Science (cum laude), TU/e (2021)
• MSc in Computer Science (cum laude), University of Twente (2018)

Research Interests:

• Development of robust federated learning frameworks for decentralized data
• Self-supervised learning for audio and physiological signal analysis
• AI-driven solutions for healthcare monitoring

Key Contributions:

• DeltaMask: Reducing communication overhead in federated fine-tuning
• FedNS: Mitigating noisy decentralized data in federated learning
• Labeling Chaos to Learning Harmony: Handling label noise in FL

Professional Experience:

• Visiting Industrial Fellow, University of Cambridge (2023)
• Research Scientist, Philips Research (2019–2023)
• Research Internships: Google Research, TNO/EIT Digital

Awards:

• UT Scholarship (MSc)
• Cum Laude awards for both PhD and MSc

Labs/Teams: EAISI Health, EAISI Foundational, Computational Design Systems.