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Research Areas and Interests |
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Katsunori Oyama |
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Associate Professor |
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Department of Computer Science Nihon University |
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Download: Curriculum Vitae (July 2021) |
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Activities |
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Katsunori Oyama received his BS, ME, and PhD degrees in Computer Science from Nihon University, Japan. From 2007 to 2010, he studied at the Department of Computer Science, Iowa State University, USA as a postdoctoral researcher. He is now an associate professor in department of computer science, Nihon University. He received the IEEE TCSVC Outstanding Service Award in 2020. His primary research interests concentrate on ontology in machine learning models, DIKW (Data, Information, Knowledge and Wisdom), human thought processes and intentions, situation-awareness, service evolution and digital health. He is a member of IEEE and IPSJ. |
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Experience |
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2011-2013 Assistant Professor, Department of Computer Science, Nihon University 2007-2011 Postdoctral Researcher, Department of Computer Science, Iowa State University |
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Recent Publications (Updated August 2020) |
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All published papers (Researchmap) Yuki Komuro, Katsunori Oyama, Lizhen Hu, Kaoru Sakatani. Relationship Between Cognitive Dysfunction and Systemic Metabolic Disorders in Elderly: Dementia Might be a Systematic Disease. Advances in Experimental Medicine and Biology, Vol.1232, pp.91-97, 2020.
Labiblais Rahman, Katsunori Oyama. Long-Term Monitoring of NIRS Signals for Mental Health Assessment. 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), pp.663-666, 2019.
Ryo Kikawa, Katsunori Oyama, Hua Ming. Landcover Based 3-Dimensional Inverse Distance Weighting for Visualization of Radiation Dose. 2019 IEEE World Congress on Services (SERVICES), pp.370-371, 2019.
Hua Ming, Katsunori Oyama. Dimensional Situation Analytics: An Introduction and Its Application Prospects. 2019 IEEE World Congress on Services (SERVICES), pp.133-134, 2019.
Kaoru Sakatani, Lizhen Hu, Katsunori Oyama, Y. Yamada. Effects of Aging, Cognitive Dysfunction, Brain Atrophy on Hemoglobin Concentrations and Optical Pathlength at Rest in the Prefrontal Cortex: A Time-Resolved Spectroscopy Study. Applied Sciences, Vol.9(11), 2209, 2019.
Kaoru Sakatani, Katsunori Oyama, Lizhen Hu. Deep Learning-Based Assessment of Cognitive Impairment in Elderly Using General Blood Test. Available at SSRN 3304298, 2018.
Moushumi Sharmin, Katsunori Oyama, Claudio Giovanni Demartini. Message from the HCSC 2018 Workshop Organizers. 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), pp.316-316, 2018.
Tokishi Morita, Katsunori Oyama, Taiju Mikoshi, Toshihiro Nishizono. Decision making support of uav path planning for efficient sensing in radiation dose mapping. 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), pp.333-338, 2018.
Carl K. Chang, Katsunori Oyama. Guest editorial: a roadmap for mobile and cloud services for digital health. IEEE Transactions on Services Computing, Vol.11(2), pp.232-235, 2018.
Katsunori Oyama, Lizhen Hu, Kaoru Sakatani. Prediction of MMSE score using time-resolved near-infrared spectroscopy. Advances in Experimental Medicine and Biology, Vol.1072, pp.145-150, 2018.
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Publication Chair, IEEE World Congress on Services 2018-Present Symposium Co-Chair of Human Computing & Social Computing, IEEE COMPSAC 2016-Present Guest Editor of Special Issue on Mobile and Cloud Services for Digital Health, IEEE Transactions on Services Computing 2016-2017 Symposium Steering Chair of HUMA (Human-Machine and Awareness Computing), IEEE COMPSAC 2015 Program Committee Member, ACM MM 2014 Program Committee Member, IEEE WETICE 2013-2016 Proceedings Chair, IEEE/IPSJ SAINT 2010 Registration Chair, IEEE/IPSJ SAINT 2009 Fast Abstract Chair, IEEE COMPSAC 2009 Registration Chair, IEEE COMPSAC 2008 |