Monterey Bay Aquarium Research Institute
 

Danelle E. Cline
Software Engineer

Monterey Bay Aquarium Research Institute
7700 Sandholdt Road
Moss Landing, CA 95039
Phone: (831) 775-1947
Fax: (831) 775-1652
email: dcline@mbari.org

Danelle E. Cline

 

Through her career at MBARI and previously at NASA Ames Research Center, she has worked on developing scientific instruments to study the atmosphere and the oceans. d.cline in front posterWhat she enjoys most about her work here at MBARI are the multi-disciplinary projects that stem from the diverse people here and the unique peer relationship between science and engineering.  Each new project challenges her to learn new methods, like most recently machine learning and neuromorphic engineering methods.

For more information about the projects she has worked on click on the links below:
Eye-in-the-SeaEye-in-the-Sea
Automated Visual Event DetectionAVED dive 2344 stil
Decision Support SystemCANON
Environmental Sample ProcessorEnvironmental Sample ProcessorLaser Raman SpectroscopyRaman


Patents

Scholin, C.A., Massion, E.I., Wright, D.K., Cline, D.E., Mellinger, E.,Brown, M.  2001.  Aquatic Autosampler Device. US Pat. No. 6187530.

Education


University of California, Santa Cruz, 1996        M.S. in Computer Engineering
California State University, Fresno, 1992          B.S. in Electrical Engineering


Publications

Gomes, K., Cline, D, Edgington, D., Godin, M.,Maughan, T. McCann, M.,O'Reilly, T.,Bahr, F.,Chavez, F.,Messie, M.,Jnaneshwar, D., Rajan, K. ODSS: A Decision Support System for Ocean Exploration. 2013 ICDE Workshop on Data-Driven Decision Support and Guidance Systems (DGSS13), April, 2013.  Brisbane, Australia.[PDF/10.5MB]

Cline, D.E., Edgington, D.R., Smith, K.L, Vardaro, M.F., Kuhnz, L., An Automated Event Detection and Classification System for Abyssal Time-Series Images of Station M, NE Pacific. Marine Technology Society/IEEE Oceans 2009 Conference Proceedings, October, 2009. Biloxi, Mississippi 2009.  [PDF/2.9MB]

Cline, D.E., Edgington, D.R., Mariette, J., An Automated Visual Event Detection System for Cabled Observatory Video. MTS/IEEE Oceans 2007 Conference Proceedings, Vancouver, Canada September 2007. IEEE Press. [PDF/0.3 MB]

Edgington, D R, Kerkez, I, Oliver, D. Cline, D E, Kuhnz, L, Walther, D, Ranzato, M, Perona, P, “Detection and Classification of Rathbunaster Californicus in Underwater Video”, Eos. Trans. American Geophysical Union (AGU), 86(18), , Jt. Assem. Suppl., Abstract U24A-05

Cline, D., et. al, “The Environmental Sample Processor (ESP) Software Design: Software for Detection and Quantification of Microorganisms”, Oceans 2001 Conference Proceedings, Marine Technology Society and IEEE, vol. 1 pp 287-294 [PDF/0.5MB]

Edgington, Duane R., Dirk Walther, Danelle E. Cline, R. E. Sherlock, and Christof Koch, Detecting and Tracking Animals in Underwater Video, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), demonstration, Washington, D.C., 2004.

P.G. Brewer, J. Pasteris, G. Malby, E. Peltzer, S. White, J. Freeman, B. Wopenka, M. Brown, D. Cline, "Laser Raman spectroscopy used to study the ocean at 3600m depth," EOS, 83, 469-470, 2002. [PDF/0.90 MB]

Scholin, C., Massion, G., Mellinger, E., Brown, M., Wright, D., Cline, D.,“The Development and Application of Molecular Probes and Novel Instrumentation for Detection of Harmful Algae”,Ocean Community Conference ’98 Proceedings, Marine Technology Society, vol. 1 pp. 367-370.   

Scholin, Marin, Doucette, Massion, Jensen, Roman, Cline, D., “Remote, in situ detection of harmful algal bloom species using the Environmental Sample Processor (ESP)”. American Society of Limnology and Oceanography. June '02, Victoria, B.C., Canada









 
Last updated: Oct. 02, 2013