David Tahmoush

Assistant Professor
Primary office:
3036 Eaton Hall


Summary

Primary Research Interests

  • Radar and Video Analysis and Visualization
  • Image and Video Analysis (medical, radar, optical, infrared, WAMI, FMV, 3D
  • Medical Image and Radar Video Databases
  • Software Engineering, Software Project Management, and Teaching Methods
  • RF Technology

Education

  • Ph.D. in Computer Science, University of Maryland, 2008
  • M.S. in Computer Science, University of Maryland, 2005
  • M.S. Electrical Engineering, M.S. Physics, MIT, 2000
  • B.S. Physics, Caltech, 1996

Selected Publications

Books and Major International Reports

  1. Radar Micro-Doppler Signatures - Processing and Applications edited by Victor Chen, David Tahmoush, and William Miceli. IET Publishing 2014. ISBN: 978-1-84919-716-8. There is a growing interest in how to use radar micro-Doppler signatures in real world applications. This book introduces basic concepts, principles, and theoretical analysis on the micro-Doppler effect in radar and pulls together the latest research on the processing and application of radar micro-Doppler signatures.
  2. RTO-TR-SET-113 Recognition of Dynamic and Static Targets in Complex Environments Using MMW and Other RF Sensors, Editor, http://www.rta.nato.int/pubs/rdp.asp?RDP=RTO-TR-SET-113, July 2010.
  3. RTO-TR-SET-163 Aspects of Multi-Parameter Radar ATR in Complex Environments, http://www.rta.nato.int/pubs/rdp.asp?RDP=RTO-TR-SET-163, July 2015.

Journals, Book Chapters, and Major Reports

  1. David Tahmoush, Fauzia Ahmad, Anthony Martone, Graeme Smith, and Zachary Cammenga, “Range-Doppler Processing for Human Motion Detection and Classification” book chapter 6 in Radar for In-Door Monitoring: Detection, Classification, and Assessment edited by Moeness Amin, 2017
  2. R.G. Raj, D.W. Baden, R.D. Lipps, R.W. Jansen, R. Madden, R.S. DeOcampo, M.A. Sletten, and D. Tahmoush, “Automatic Target Recognition of Small Craft Using Multichannel Imaging Radar” NRL Review, 2017
  3. Christopher T. Rodenbeck, Thomas J. Pizzillo Thomas Apker, Brian Tierney, David F. Crouse, Raghu Raj, David Tahmoush, “Millimeter-Wave Sensing for Autonomy: Tech Assessment and Rapid Demonstration of Automotive Radar Technology for Small UAVs” NRL Report, 2016
  4. D. Tahmoush, “Review of Micro-Doppler Signatures.” IET Radar, Sonar & Navigation, 2015.
  5. D. Tahmoush, “Current Research in Micro-Doppler, Editorial for the Special Issue on Micro-Doppler” IET Radar, Sonar & Navigation, 2015.
  6. D. Tahmoush, “Small Boat and Smuggling Activity Recognition” chapter in Aspects of Multi-Parameter Radar ATR in Complex Environments, NATO RTO-TR-SET-163, July 2015.
  7. V. Chen, D. Tahmoush, and W. Miceli, “Micro-Doppler Signatures - Review, Challenges and Perspectives”, book chapter in Radar Micro-Doppler Signatures - Processing and Applications edited by Victor Chen, David Tahmoush, and William Miceli. IET Publishing 2014.
  8. V. Chen, D. Tahmoush, “Micro-Doppler Signatures of Small Boats” book chapter in Radar Micro-Doppler Signatures - Processing and Applications edited by Victor Chen, David Tahmoush, and William Miceli. IET Publishing 2014.
  9. D. Tahmoush and J. Silvious, Radar Measurement of Human Polarimetric Micro-Doppler. Journal of Electrical and Computer Engineering, 2013.
  10. Dave Tahmoush and Jerry Silvious, Gait Variations in Human Micro-Doppler, International Journal of Electronics and Telecommunications (JET), vol. 57, pp 23-8, ISSN 0867-6747, Index 363189, 2011.
  11. D. Tahmoush, Image Similarity to Improve the Classification and Retrieval of Breast Cancer Images, Journal of Algorithms Special Issue: Machine Learning for Medical Imaging, 2010.
  12. D. Tahmoush, Micro-Doppler and Dismount Detection, chapter in Recognition of Dynamic and Static Targets in Complex Environments Using MMW and Other RF Sensors, NATO RTO-TR-SET-113, July 2010.

Patents

  1. Tanaka, G. L., Ng, D. W., Chen, C., Tahmoush, D., & Ma, D. (2017). U.S. Patent No. 9,615,063. Method and apparatus for visual monitoring. Washington, DC: U.S. Patent and Trademark Office.

Selected Awards & Honors

  • 3D ISAR 2018-2021 (PI, $1.9M)
  • EBR radar 2018-2021 (co-PI, $2.8M)
  • DARC radar 2016-2018 (co-PI, $1.2M of $2M)
  • Small UAV Detection in Urban Environments 2016-2020 (co-PI $0.8M of $3.2M)
  • Challenge Problem award “Applying Textual Action Attributes to Improve Human Activity Recognition” 2015-17 ($220K/year)
  • Robotics CTA award “Robotic Situational Awareness Using Depth Sensors and Video” 2015-16 ($370K)
  • Robotics CTA award “Concept classifiers for human activity recognition” 2013-14 ($155K)
  • Cybersecurity Fellowship (University of Maryland University College) 2013-2014 ($25K)
  • Top Young Radar Engineers from IDGA Military Radar Summit 2012
  • Terraharvest grant 2011 ($60K)
  • Army Superior Unit Award 2009, Army on the Spot Award 2010, 2012
  • Fulbright Scholar 2008, EAPSI fellowship 2008 (Korea)
  • Grant from Microsoft Research - Querying Breast Cancer Image Databases 2005 ($50K)
  • National Science Foundation Grants EIA-00-91474 and CCF-0515241
  • Graduate Student Teaching Award for 2007
  • Best student paper in Advanced PACS-based Imaging Informatics at SPIE Medical Imaging

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