Program Industry Speakers

Ubicomp/ISWC 2018 Industry Session (October 9th, 4:00 - 5.30 PM)

Earables for Personal-scale Behaviour Analytics

Abstract

Wearables are embracing AI, transforming the way we live, act, learn and behave as social human beings. However, what’s at stake for this “PopSci rhetoric” to happen is nothing short of an enormous multifaceted challenge. In this talk, I will explore the system and algorithmic challenges in modelling behaviour in this augmented human era. In particular, I will discuss how an "Earable" can be used as a multi-sensory computational platform to learn and infer human behaviour and to design ultra-personal connected services.

  1. Photo of Fahim Kawsar
    Fahim Kawsar, Nokia Bell Labs, and TU Delft

    Fahim borrows tenets from Social Psychology, learns from Behavioural Economics and applies Computer Science methods to develop human-centred software systems. An experimental computer scientist at heart, he spends most of his time leading the Pervasive Systems research at Nokia Bell Labs, Cambridge building efficient, robust, sensory systems with novel computational forms. He is intrigued by the power of design and frequently visits TU Delft to teach and debate the influence of data systems in redefining design, and vice versa.

Practical Challenges in Deploying Location-based Services

Abstract

Understanding users' location is a key to provide many useful context-aware services. To enable such services, Naver Labs has been developing technologies for mapping, localization, tracking, and location data analysis. We have encountered various challenges in applying the technologies to real service deployments. In this talk, we share such challenges and our experiences.

  1. Photo of Younghyun Ju
    Younghyun Ju, NAVER LABS

    Younghyun Ju received his PhD in Computer Science from KAIST. He has been a researcher at NAVER LABS since 2014 and is currently leading the mobility intelligence team. His research interests include mobile and pervasive computing, platform support for context-aware services, and large-scale distributed systems.