Professor
University of California, Los Angeles, California, United States
Dr. Aydogan Ozcan received his Ph.D. degree at Stanford University Electrical Engineering Department. After a short post-doctoral fellowship at Stanford University, he was appointed as a research faculty at Harvard Medical School, Wellman Center for Photomedicine in 2006. Dr. Ozcan joined UCLA in 2007 and he is currently the Chancellor’s Professor at UCLA and an HHMI Professor with the Howard Hughes Medical Institute, leading the Bio- and Nano-Photonics Laboratory at UCLA Electrical Engineering and Bioengineering Departments, and is also the Associate Director of the California NanoSystems Institute (CNSI) at UCLA. Dr. Ozcan is elected Fellow of the National Academy of Inventors (NAI) and holds >45 issued/granted patents and more than 20 pending patent applications for his inventions in telemedicine, mobile health, nanoscopy, wide-field imaging, lensless imaging, nonlinear optics, fiber optics, and optical coherence tomography. Dr. Ozcan gave more than 70 plenary/keynote talks and 350+ invited talks and is also the author of one book, the co-author of more than 700 peer reviewed publications in major scientific journals and conferences. Dr. Ozcan is the founder, a member of the Board of Directors and the Chairman of the Scientific Advisory Board of Holomic/Cellmic LLC, which was named a Technology Pioneer by The World Economic Forum in 2015, and was recently acquired by NOWDx. Dr. Ozcan is also the Founder of Lucendi Inc, Pictor Labs and Hana Diagnostics Inc. His inventions have already resulted in several products that are currently in use in more than 10 countries in the areas of point of care diagnostics and mobile health. In addition to his entrepreneurial activities, Dr. Ozcan’s lab at UCLA has also had substantial funding from and collaborative research projects with various leading companies including e.g., Google/Verily, Qualcomm, Vodafone, Fujikura, and Nokia among others.
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A Single-tier Multiplexed Lyme Disease Assay Enhanced by Machine Learning
Thursday, October 24, 2024
8:42 AM – 8:54 AM EST
Thursday, October 24, 2024
10:00 AM – 11:00 AM EST
Thursday, October 24, 2024
10:00 AM – 11:00 AM EST
Friday, October 25, 2024
10:00 AM – 11:00 AM EST
Paper-based point-of-care sensors for multiplexed quantification of biomarkers using deep learning
Saturday, October 26, 2024
9:15 AM – 9:30 AM EST