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My research interests are on technology-driven human behavior sensing and modeling, juxtaposing methods from large-scale data analysis, sensor instrumentation, applied machine learning, mobile and ubiquitous computing to understand and study a variety of human behavioral and social phenomena in naturalistic settings.
My background is in designing and implementing solutions for companies in the healthcare business. I received my MSc in Computer Science and Information Networks from University of Oulu in 2016 and my PhD in the topic of mobile sensing in 2019. In my PhD work, my focus is on ubiquitous computing and quantified-self (QS). Specifically understanding users of mobile applications and technologies, such as wearable devices and smartphones, how these devices affect our attention, and designing new methods to enable users with more efficiency. Feel free to contact me or visit my webpage in case you have interest or questions regarding my work.
I'm a Research Associate at Institute of Industrial Science in The University of Tokyo, Japan. I received M.S.(2014) and Ph.D. in Media and Governance (2017) from Keio University in Japan, respectively. I had worked in UBICOMP-CIA as a post-doctoral researcher among 1.5 years (2018-2019), and now I'm collaborating with the group continually from Japan. My current research interests include ubiquitous computing systems, mobile and wearable sensing platform, and human ability augmentation. Feel free to visit my web-site for getting more my works or contact me.
My research interests are mobile computing, sensor instrumentation and ubiquitous computing. I received master degree in Information Processing Science in 2018. My ongoing PhD work is focused on leveraging accessibility of ubiquitous devices and applying it into use for Parkinson's disease observation. The study is aimed on designing of novel means for screening symptoms of Parkinson's patients in a regular and distant manner.
I'm a doctoral researcher focusing on mobile sensing and ubiquitous computing. My research is a part of STOP project, and I try to find ways to use technology in managing Parkinson’s disease. We use wearables and sensor data for measuring symptom level and medication. The aim is to produce data for supporting the treatment decisions and wellbeing.
I have worked in the wireless communication area in the industry for a long time, and I have a master’s degree in applied mathematics.
Kennedy Opoku Asare
My ongoing PhD work investigates the early detection and progression of depression , leveraging human behavior modeling with applied machine learning, smartphone and wearable sensor instrumentation.
I received my MSc in Computer Science and Engineering from the University of Oulu, Finland and my BSc in Computer Science from the Kwame Nkrumah University of Science and Technology, Ghana. Before joining the academia, I worked as a full-stack software developer of financial solutions, and as a UNICEF Consultant in Ghana.
I'm a doctoral student in the Community Instrumentation and Awareness research group at the Center for Ubiquitous Computing, University of Oulu, Finland. Previously, I was a research assistant (early-stage researcher) at the Human-Centered Computing group, Freie Universität Berlin. I am interested in building web-based socio-technical systems in which the human and technological elements play the role of participant machinery in order to perform complex tasks better than either human or machine could independently.