Announcements
IBM and Dublin City University Water Institute Collaborate to Advance Internet of Things Research for Water Management
IBM’s cognitive IoT technologies are able to provide deep learning capabilities for sensor platforms, which ensure quality and reliable data capture under a range of environmental conditions. Advanced analytics embedded in IoT-based sensor platforms, or the sensors themselves, can help detect subtle trends or early detection of environmental changes that may be crucial to public health and safety or remediation efforts.
The collaboration brings together IBM Research efforts in the area of cognitive IoT-based environmental solutions with DCU’s Water Institute expertise and leadership in environmental sensing via the university’s National Centre for Sensor Research (NCSR). As a part of the program, IBM has joined the DCU Water Institute Industry Advisory Council.
IBM scientists are working on integrated IoT solutions to support a myriad of sensors to help better understand and ultimately manage a multitude of ecosystem challenges. These may include water quality changes due to natural, artificial, or climate-related effects. Sensors can measure physical, chemical, and biological parameters to help better understand changes in the environment. Applications may include improved management of pollution from sources such as agricultural or storm water runoff that can affect lakes, rivers, estuaries and marine ecosystems.
IBM and DCU Water Institute will be selectively piloting these technologies in Ireland and in the United States. The first sensors are being deployed on Lake George in New York State in conjunction with the ongoing Jefferson Project at Lake George.
“Over the next few years, we believe that Internet of Things technologies will play an important role in helping protect the environment and natural resources. At IBM Research, we are excited to leverage IBM’s expertise in cognitive and IoT environmental monitoring and management with the DCU Water Institute to help advance the future of water management,” said Harry Kolar, Distinguished Engineer, IBM Research.
The collaboration will focus on newly developed DCU sensor technologies that can have the potential for monitoring several key aspects of water quality at costs significantly lower than current commercial technologies. This new generation of sensors, when combined with IBM’s environmental IoT platform may eventually help provide significant benefits for water management on a global scale.
“The technologies developed during this important collaboration will aim to disrupt the current norms of costly sensors limiting their distribution at IoT scale to provide really valuable information which supports better decision-making about our valuable water resource,” said Professor Fiona Regan, Director of the DCU Water Institute.
The DCU Water Institute aims to develop technology-based solutions to facilitate greater water stewardship, translating technologies developed in the NCSR to the water domain. DCU Water Institute scientists and engineers are developing novel sensor and data analytics technologies to improve how we monitor water quality.
About the DCU Water Institute
DCU Water Institute has 30 academic principal investigators across 5 faculties of the university. DCU’s Water Institute and NCSR provide state-of-the-art facilities, comprising custom-designed laboratories, a range of specialist support units and equipment, and dedicated technical and administrative staff. For more information, visit www.dcuwater.ie.
About IBM Research
For more than seven decades, IBM Research has defined the future of information technology with more than 3,000 researchers in 12 labs located across six continents. Scientists from IBM Research have produced six Nobel Laureates, 10 U.S. National Medals of Technology, five U.S. National Medals of Science, six Turing Awards, 19 inductees in the National Academy of Sciences and 20 inductees into the U.S. National Inventors Hall of Fame.
For more information about IBM Research, visit www.ibm.com/research.
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