| Notes |
Dong's Photo
Dr. Dong Wang
Ph.D.
Assistant Professor
Department of Computer Science and Engineering
Interdisciplinary Center for Network Science and Applications (iCeNSA)
University of Notre Dame
Email: dwang5 at nd dot edu
Group Members
Daniel Zhang (Ph.D. student, ND)
Yang Zhang (Ph.D. student, ND)
Nathan Vance (Ph.D. student, ND)
Lanyu Shang (Ph.D. student, ND)
Brian Mann (Undergraduate Student, ND)
Steven Mike (Undergraduate Student, ND)
Ben Cunning (Undergraduate Student, ND)
Herman Tong (Undergraduate Student, ND)
Yiwen Lu (Undergraduate Student, Tshinghua University, iSure Program)
Rungang Han (Undergraduate Student, Zhejiang University, iSure Program)
Tianhong Sheng (Undergraduate Student, Sichuan University, iSure Program)
Research Theme
The advent of online social media (e.g., Twitter and Flickr), the ubiquity of wireless communication capabilities (e.g., 4G and WiFi), and the proliferation of a wide variety of sensors in the possession of common individuals (e.g., smartphones) allow humans to create a deluge of unfiltered, unstructured, and unvetted data about their physical environment. This opens up unprecedented challenges and opportunities in the field of social sensing, where the goal is to distill accurate and credible information from social sources (e.g., humans) and devices in their possession that accurately describes the state of the physical world. The problem requires multi-disciplinary solutions that combine data mining, statistics, network science and cyber physical computing. My research addresses the aforementioned needs by building theories, techniques and tools for accurately extracting high quality information from data generated with humans in the loop, and for reconstructing the correct "state of the world" both physical and social. I believe my research can lead to the next generation of information distillation services, where predictable, reliable, and timely answers are found from the huge amount of real-time and heterogeneous data feeds, empowering humans to better understand, utilize and make sound decisions from such data.
Research Projects
The primary research focus of the lab lies in the emerging area of Social Sensing and Cyber-Physical Systems in Social Spaces, where data are collected from human sources or devices on their behalf. Social sensing systems are one example of information distillation systems in current era of Big Data. We carreid out a set of projects to address several key challenges in social sensing and I beleived the theories, algorithms, frameworks and systems developed in these projects are useful in building future information distillabtion systems in general. An overview of social sensing can be found in IEEE Computer Perspective Paper. |