THE CURATORS OF THE UNIVERSITY OF MISSOURI

• UNIVERSITY OF CALIFORNIA, SAN DIEGO

  UEI UYTTZT6G9DT1

  $1M

  Subcontractor to this prime · 1 sub-award · latest Mar 14, 2025

  • Defense Threat Reduction Agency
  • “MOD:527,554.31 11/13/2025 SUB:472,445.69 03/14/2025 DR. ANTHONY GRIFFITHS AT THE UNIVERSITY OF MISSOURI DEPARTMENT OF MOLECULAR MICROBIOLOGY AND IMMUNOLOGY, BOND LIFE SCIENCES CENTER, AND LABORATORY FOR INFECTIOUS DISEASE RESEARCH (LIDR) WILL BE A CO-PI IN THE DTRA-FUNDED PROJECT “CELLULAR NANOSPONGES AS A MEDICAL COUNTERMEASURE TO EMERGING VIRUS THREATS.” THE LIDR IS A STATE-OF-THE-ART FACILITY THAT ENCOMPASSES SIGNIFICANT CONTAINMENT LABORATORIES AT BSL-2, AND -3. DR. GRIFFITHS’ WORKS TO DEVELOP VACCINES AND THERAPEUTICS FOR RISK GROUP 3 AND 4 VIRUSES AND INCLUDES WORK THAT WILL EMPLOY THE ANIMAL RULE OR GLP TO SUPPORT LICENSURE. HE HAS RECENTLY MOVED TO THE UNIVERSITY OF MISSOURI FROM BOSTON UNIVERSITY, WHERE HE WAS A FULL PROFESSOR IN THE DEPARTMENT OF VIROLOGY, IMMUNOLOGY, AND MICROBIOLOGY, AND AN INVESTIGATOR AT THE NATIONAL EMERGING INFECTIOUS DISEASES LABORATORIES. SINCE THE START OF THE SARS COV-2 PANDEMIC, HIS GROUP HAS WORKED TO DEVELOP TOOLS TO SUPPORT SCIENTIFIC ADVANCEMENT IN THIS FIELD. THEREFORE, DR. GRIFFITHS’ GROUP IS PERFECTLY POSITIONED TO WORK ON THE PATHOGENS THAT ARE ADDRESSED IN THIS PROPOSAL. DR. GRIFFITHS AND HIS TEAM WILL RECEIVE NANOSPONGES AND WILL TEST THEIR ABILITY TO NEUTRALIZE A VARIETY OF RISK GROUP 3 VIRUSES. THE BEST NANOSPONGES WILL MOVE FORWARD TO APPROPRIATE ANIMAL MODELS OF VIRAL DISEASES”
• HONEYWELL FEDERAL MANUFACTURING & TECHNOLOGIES, LLC

  UEI DMEGBYTVBQS5

  $284.9K

  Subcontractor to this prime · 4 sub-awards · latest Mar 13, 2026

  • Department of Energy
  • “R&D”
  • “RESEARCH AND DEVELOPMENT”
  • “RESEARCH & DEVELOPMENT”

• KRI AT NORTHEASTERN UNIVERSITY, LLC

  UEI KK6NAHA8V1M4

  $535.6K

  Subcontracted by this company · 1 sub-award · latest May 9, 2024

  • Department of the Navy
  • “"1. STUDY AND ANALYZE HW/SW ARCHITECTURES TO SUPPORT SWAPPING OF RF MACHINE LEARNING CLASSIFIER MODELS. 2. ANALYZE THE PERFORMANCE OF ARCHITECTURES FROM TASK 1 COMPARED TO CURRENT STATE OF THE ART APPROACHES. 3. IDENTIFY AND GATHER SUITABLE DATASETS FOR RF CLASSIFICATION (E.G., DRONE TYPE BY RF TRANSMISSION E.G., IN 2.4GHZ/5.8GHZ BANDS, MODULATION TYPE) 4. DEVELOP AND ANALYZE AN RF MACHINE LEARNING CLASSIFIER THAT SHALL DETECT AND CLASSIFY MULTIPLE TYPES OF TARGETS. 5. PROTOTYPE A LOW SWAP HW/SW PLATFORM USING FPGAS TO DEMONSTRATE CLASSIFICATION AND COMMUNICATION"”

Agencies generally may not award to excluded parties, and primes may not subcontract with them above the threshold in FAR 52.209-6 (except COTS items) without a compelling reason reported to the contracting officer (FAR 9.405, 9.405-2). Some exclusion types apply only to specific programs: read the record on SAM.gov.