معرفی
Dimitris Spathis is a Visiting Researcher at the University of Cambridge's Department of Computer Science and Technology and a Research Scientist at Google. His work focuses on applying machine learning to real-world data from wearables, mobile sensors, and audio signals, emphasizing data efficiency and modality-agnostic approaches. He holds a PhD in Computer Science from the University of Cambridge, supervised by Prof. Cecilia Mascolo, and has collaborated with companies like Microsoft Research and Telefonica Research.
His research spans AI in healthcare, human-computer interaction, and signal processing, with publications in top venues such as NeurIPS, KDD, and ICASSP. Notable projects include developing algorithms for physiological monitoring via wearables and improving fairness in machine learning systems. He has organized workshops like Federated Learning for Mobile Sensing (MobiCom 2021) and serves on program committees for AAAI, IJCAI, and KDD.
Key themes in his work include human-centered computing, AI ethics, and mobile health sensing. His contributions have been featured in media outlets like BBC, CNN, and Forbes, highlighting their societal impact in healthcare and technology.
