Human Centered and Social Computing

Research in social computing seeks to reveal new understanding about properties that networks of people and computers together possess, with the goal of developing theoretical and practical understandings of systems that support socially intelligent computing, from design stages through to evaluation and refinement of real world applications.  What will the next generation of today’s social web leaders (e.g. Facebook, Twitter and YouTube) look like, and how will they behave?  How will new supporting technology (e.g. Mobile, Augmented Reality, Moore’s Law) better integrate social computing into our daily schedules?  How will this impact our security and privacy? By better characterizing, understanding, and eventually designing for desired behaviors arising from computationally mediated groups of people at all scales, new forms of knowledge creation, new models of computation, new forms of culture, and new types of interaction can result. Through careful research on these systems, including their emergent behaviors and desired properties, we can build theory to inform the design of future platforms for social communication and interaction, leading to a broad and beneficial impact on business and society.

Affilated Labs: 
Four Eyes Lab, NLP Lab

Faculty

The 'bionic eye'—so long a dream of the future—is finally becoming a reality with retinal prostheses available in the US and Europe (Fig. 1; over 300 patients implanted). With cortical implants, optogenetic approaches, and stem cell therapy in development, a wide range of sight recovery (SR) options will be available to patients suffering from severe blindness.

Höllerer directs a research group on Imaging, Interaction, and Innovative Interfaces, with a particular focus on the design, implementation, and evaluation of novel user interfaces that have the potential to augment or challenge established paradigms.

My research is focused on modeling, analysis, simulation and software, applied to multiscale, networked systems in biology, materials and social networks.   My research group has been developing advanced algorithms for discrete stochastic simulation of systems where the fate of a few key molecules can make a big difference to important outcomes. 

Much of Professor Singh’s research is around data-centric modeling of systems and he focuses on the development of new methods that can be applied to real-world applications.

I am interested in the following areas:

The primary goal of my lab is to develop fundamental concepts and new principles of data mining, design intelligent algorithms and build scalable systems.