Soliciting datasets and tools from past and current sensor deployments and data gathering efforts
Sensor systems are proliferating in many parts of research such as Internet of Things (IoT) and Cyber-Physical Systems (CPS). This proliferation has led to an explosion of activity in many applications that cover a multitude of areas. As these research progresses, sharing of data has become a frequent bottle neck in showing repeatability and allowing follow up research from the community.
The Data: Acquisition To Analysis (DATA) workshop aims to solicit datasets and tools from past and current sensor deployments and data gathering efforts. The workshop aims to bring together community of application researchers, and algorithm researchers in the sensing systems domain to promote breakthroughs from integration of the communities. The workshop will foster cross-domain understanding by enabling both the understanding of algorithmic needs, and data collection limitations.
Trevor Pering (Google)
Pat Pannuto (UC Berkeley)
Yingying Chen (Rutgers, The State University of New Jersey)
Josiah Hester (Northwestern University)
Mooi Choo Chuah (Lehigh University)
Desheng Zhang (Rutgers, The State University of New Jersey)
Jun Huang (Peking University)
Hassan Habibi Gharakheili (University of New South Wales)
Olaf Landsiedel (Chalmers University of Technology)
Rui Tan (Nanyang Technological University)
Simon Duquennoy (SICS)
Haiming Jin (Shanghai Jiao Tong University)