Our internship program aims to recruit top students to work in our lab over the summer. Here is a snapshot of our internship program from 2014.
Kevin Jih, UC Santa Barbara, IBM T.J. Watson Research Lab
Kevin explored ways to use ambient lighting, music, and images over the course of group meetings in order to understand how these ambient elements affect the quality of meetings, people’s attitudes, and the decisions made.
Josua Krause, New York University, IBM T.J. Watson Research Lab
Josua Krause created a visual query interface for defining cohorts of patients for data-driven medical analysis, leading to new medical insights. Several publications are under submission.
Diogo Marques, University of Lisbon, IBM T.J. Watson Research Lab
Diogo designed and performed experiments relating to risk perception and communication. These provided insights into mobile UI design and deployment requirements for the Usable Multi-Factor Authentication and Risk-Based Authorization project funded by the Department of Homeland Security.
Judith Uchidiuno, University of Maryland, Baltimore County, IBM T.J. Watson Research Lab
Judith explored uses of wearable smart glasses for field workers. She created an application for workers to communicate with and receive assistance from a remote helper using tools such as video conferencing and document sharing and annotation. Her application was field tested by a team of data center operators within IBM.
Xiying Wang, Cornell University, IBM T.J. Watson Research Lab
Xiying designed and built a wearable armband for field workers to notify them of health and safety hazards in the environment. The armband monitors ambient temperature and reminds workers to take a rest break when working in hot environments. It also monitors ambient noise and warns workers to wear appropriate PPE when the levels exceed OSHA-defined thresholds. Her armband was field tested by boiler room mechanics and data center operators within IBM.
Yang Wang, University of California, Davis, IBM Almaden Research Center
Yang designed, implemented and evaluated an interactive visualization tool, VeilMe, to help people understand and configure their privacy preferences of using personal traits, including Big-5 personality, values, needs, derived from social media. This work yield a paper at ACM CHI 2015.
Elad Kravi, Technion – Israel Institute of Technology, IBM Research - Haifa
Elad designed and implemented a recommendation engine for IBM Connection communities. This work yield a paper at SIGIR 2014.
Ira Zuyev, Technion – Israel Institute of Technology, IBM Research - Haifa
Ira designed and implemented research around liking in social media in the enterprise in particular IBM Connections.
Deepti Raghavan, MIT, IBM Research - India
Deepti developed techniques to conduct virtual science experiments on mobile devices using sensing and haptic based interaction techniques.