Victor C Dibia  Victor C Dibia photo         

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Research Staff Member | Systems and Technologies for Cognitive IoT
Thomas J. Watson Research Center, Yorktown Heights, NY USA


Professional Associations

Professional Associations:  ACM  |  Association for the Advancement of Artificial Intelligence (AAAI)  |  IEEE

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More information:  Personal Website


I am a Research Staff Member with the Systems and Technologies for Cognitive IoT group at IBM Research and a Senior Member of the IEEE. 

My research interests are in Human Computer Interaction (HCI), Computational Social Science and AI.  I employ mixed research methods (experiments, rapid prototyping, interviews, surveys, usability studies and panel data analysis) in addressing questions related to interaction design for applied AI systems, interface design for wearables and behavior within online platforms.

My work has been published at reputable Information Systems, HCI and AI venues such as the ACM Conference on Human Factors in Computing Systems (CHI), AAAI Conference on Artificial Intelligence (AAAI), International Conference on Information Systems (ICIS) and the Hawaii International Conference on System Sciences (HICSS). My work on wearables has been featured on the Wall Street Journal, awarded the Pacific Telecommunications Council Young Scholar Award and selected as a finalist at the 2014 Samsung Gear App Challenge. My work on interfaces for AI systems has also been recognized with a best technical demo award at the 2018 AAAI Conference. Recently, I have helped create TJBot - an open source DIY robot to engage novice users in prototyping cognitive applications (project website), and Data2Vis - a deep learning model to automatically generate visualizations from data.

I hold an MSc in Information Networking from Carnegie Mellon University where my thesis was the design, implementation and evaluation of a Web based infrastructure for Identity based cryptography (IBC). I also hold a PhD in Information Systems (HCI Focus) from City University of Hong Kong where I was a recipient of the Hong Kong Government HKPFS fellowship, and my dissertation work investigated behavioural and design issues within software contest crowdsourcing platforms.