David Schvartzman
David Schvartzman
My professional interests include: Radar Meteorology, Precipitation Microphysics, Polarimetric Phased Array Radar, Digital Signal Processing, Artificial Intelligence/Machine Learning, Statistical Modeling and Simulations.
Professional Experience
School of Meteorology (August-2022 to Present)
Assistant Professor
Teach undergraduate/graduate level courses in the School of Meteorology.
Conduct collaborative research applying radar technology for meteorological applications and develop projects to demonstrate them.
Explore uses of artificial intelligence and machine learning for meteorological applications.
Work with undergraduate and graduate students to support their academic development in radar and atmospheric science applications.
Collaborate with ARRC, Meteorology, CIWRO, and ECE Scientists in the development and submission of research proposals.
Courses Developed: Weather Radar Theory & Practice (METR-5673), Programming for Meteorology (METR-1313).
Research Scientist
Investigate uses of radar technology for meteorological applications and de- velop projects to demonstrate them.
Support the development, integration, and testing of new weather radar systems being developed at the ARRC.
Conduct collaborative research and development of innovative beam pattern synthesis and signal-processing techniques to support the design of advanced weather scanning concepts with the all-digital PARs.
Collaborate with other ARRC Faculty in the development and submission of research proposals.
Explore uses of artificial intelligence and machine learning for meteorological applications.
Work with undergraduate and graduate students to support their academic development in radar-related applications.
Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) (August-2015 to March-2021)
Research Scientist
Conduct collaborative research and development of innovative signal-processing and adaptive-sensing techniques to improve the quality, coverage, accuracy, and timeliness of meteorological products from weather radars.
Exploration and demonstration of unique capabilities offered by evolution- ary radars for weather observations; and the transferring of technology to existing radar systems in government, public, and private organizations.
Member of the Advanced Radar Techniques (ART) team affiliated to the Radar Research and Development Division at the National Severe Storms Laboratory (NSSL).
School of Electrical and Computer Engineering, University of Oklahoma, OK, USA. (August-2019 to May-2022)
Adjunct Instructor
Instructor for the Circuits Laboratory course (ECE-3773)
Responsible for teaching 3 credit hours per week, developing assignments, laboratory practices, midterms, projects, and final exams.
Education
School of Electrical and Computer Engineering, University of Oklahoma, OK, USA
Doctor of Philosophy in Electrical and Computer Engineering (2016-2020)
Dissertation Title: Signal Processing Techniques And Concept Of Operations For Polarimetric Rotating Phased Array Radar. Avail- able online: https://shareok.org/handle/11244/326580.
Committee Members: Dr. Tian-You Yu (chair), Dr. Sebastián Torres, Dr. Jorge Salazar, Dr. Mark Yeary, Dr. Ying Wang.
Cumulative GPA of 4.00.
Master of Science in Electrical and Computer Engineering (2013-2015)
Graduate Research Assistant at the Advanced Radar Research Center (ARRC)
Thesis Title: Weather Radar Spatio-Temporal Saliency.
Committee Members: Dr. Tian-You Yu (chair), Dr. Sebasti´an Torres, Dr. Joseph Havlicek.
Cumulative GPA of 4.00.
School of Engineering, National University of Asunción, San Lorenzo, Paraguay
Bachelor of Science in Electrical and Computer Engineering (2006-2011)
Electronics Engineer.
Graduated with Summa Cum Laude Honors.
Cumulative GPA of 4.96 out of 5.
Study branch: Telecommunications.
Distinctions and Awards
Institute of Electrical and Electronics Engineers (IEEE).
2022 IEEE R5 Outstanding Young Professional Award (received in 2023).
IEEE Senior Member (received in 2022).
American Meteorological Society
Recipient of the 2019 American Meteorological Society’s Spiros G. Geotis Prize for the paper titled “Design of Practical Pulse Compression Waveforms for Polarimetric Phased Array Radar”.
Graduate of the 2020 American Meteorological Society’s Early Career Leader- ship Academy (ECLA).
Member of the AMS Scientific and Technological Activities Commission (STAC) in Radar Meteorology.
Gallogly College of Engineering, The University of Oklahoma
Dissertation Excellence Award (2020).
Graduate of the Jerry Holmes Leadership Program (JHLP, University of Oklahoma).
School of Engineering, National University of Asunción
Graduated Best of the Class 2011, with Summa Cum Laude Honors.
Cumulative GPA of 4.96 out of 5.
Study branch: Telecommunications.
Member of the Honors Roll of admitted students (2006), School of Engineering, National University of Asunción.
Instituto de Matematica Pura e Aplicada (IMPA)
Summer Course on Real Analysis, 2008.
Summer Course on Introduction to Probability, 2007.
Summer Course on Dynamic Systems, 2007.
Summer Course on Number Theory and its Applications to Cryptography, 2005.
OMAPA (Paraguayan Mathematical Olympiads)
National Silver Medal (Level 3), 2005.
National Gold Medal (Level 3), 2004.
Media Appearances
OU Sooner Magazine: https://soonermag.oufoundation.org/stories/facing-down-the-storm
KWCH 12 News in Wichita: https://www.kwch.com/video/2024/03/16/spring-weather-special-phased-array-radar/
Radio Ñanduti: https://www.nanduti.com.py/para-mejores-pronosticos-especialista-insta-a-adquirir-mas-radares-meteorologicos
OU VPRP: https://www.ou.edu/insideou/articles/2023/october/ou-deploys-the-worlds-most-advanced-weather-radar
Foco Magazine: https://foco.lanacion.com.py/destacado-foco/2024/04/09/paraguayo-escanea-el-cielo-con-tecnologia/
ABC Newspaper: https://www.abc.com.py/edicion-impresa/locales/egresan-ingenieros-de-la-una-338883.html
Get in touch: dschvart@ou.edu