Larry O'Gorman is a Bell Labs Fellow at Nokia Bell Labs Research in Murray Hill, NJ. His current focus is on lightweight machine learning for mobile robots, drones, and IoT. Previously he was Chief Scientist at Veridicom, a biometric company that was spun out from Lucent, and before that a Distinguished Member of Technical Staff at Bell Labs. He has also taught in the area of multimedia security at Cooper Union and New York University.

He has collaborated with artists and universities on the creation of several interactive artworks including: Brooklyn Blooms with NYU at the World Science Festival, 2013; Pixelpalooza with NYU at the Liberty Science Center, 2014-17; Butterflies Alight! with Stevens Institute of Technology in Hoboken, NJ, 2015; Omnia Per Omnia with Sougwen Chung at Mana Contemporary Gallery, 2018; and Indigo Grey with Hammerstep at Mana Contemporary Gallery, 2018.

He has authored over 80 technical papers and 9 book chapters, holds over 40 patents, is co-author of 4 biometrics standards, and is co-author of the books, Practical Algorithms for Image Analysis published by Cambridge University Press, and Document Image Processing published by IEEE Press. He is a Fellow of the IEEE and of the International Association for Pattern Recognition. In 1996, he won the Best Industrial Paper Award at the International Conference for Pattern Recognition. Also in 1996, he won an R&D 100 Award for one of "the top 100 innovative technologies of that year" (a digital document watermarking method). He currently serves on the editorial board of Pattern Recognition, has been on the editorial boards of 6 journals, and has served on US government committees to NIST, NSF, NIJ, and NAE, the New Jersey Commission on Science and Technology, and France's INRIA.

More info at: https://www.nokia.com/people/larry-ogorman/

MySoundscape is a STEM project whose purpose is to engage pre-university students as citizen scientists to measure and create sound maps of parks and other natural sites in their communities.

Goals include:

 i) to help the students  better understand the characteristics of audio signals through the use of digital signal processing tools, and to use these tools for environmental monitoring,
ii) to foster a sensory knowledge of their environment,
iii) to participate in a larger project to sound-map local neighborhoods of geographically diverse locations,
iv) to make MySoundscape maps available to the community so that all can gain an enhanced audio experience their local parks. 

Learn more at: https://www.mysoundscape.org/