LBNL Logo ONHS Funding Opportunity Report

Targeting Operations and Analytics Development

Solicitation ID: FA875025S7002

Agency: AFRL/RI

Type: Presolicitation
Deadline: 2029-09-30T16:00:00 ET
Eligibility: Maybe (Dual Approval Required)
Funding: Total funding of approximately $499M. Individual awards normally range from $1M to $25M, with the potential for awards up to $99.9M.
Doc Type: BAA
Clearance: TS/SCI
Program Manager: Ariana Emad
Last Updated: 2025-11-24 13:16
Analyzed File: 25-02 BAA Synopsis_v9.docx

Eligibility Reasoning

Federally Funded Research and Development Centers (FFRDCs) and Government entities... cannot propose to this BAA in any capacity unless they meet the following conditions: FFRDCs: FFRDCs must clearly demonstrate that the proposed work is not otherwise available from the private sector; and FFRDCs must provide a letter on official letterhead from their sponsoring organization citing the specific authority establishing their eligibility to propose to Government solicitations and compete with industry... FFRDC and Government entity eligibility will be determined on a case-by-case basis.

Note: This is an AI-generated summary...

Summary

The Air Force Research Laboratory (AFRL) has issued a Broad Agency Announcement (BAA FA8750-25-S-7002) titled 'Targeting Operations and Analytics Development' with an estimated total funding of $499 million, open until September 30, 2029. The program seeks innovative research to develop, test, and integrate technologies that improve the joint targeting cycle. Key technical focus areas include: Dynamic Targeting Engagement at Scale, resilient Mission Communications, rapid Combat Assessment, Indications & Warning (I&W) Analytics, and associated Test and Evaluation methodologies. The BAA is a two-step process, requiring an initial white paper submission before a potential invitation to submit a full proposal. Individual awards are anticipated to range from $1 million to $25 million over 36 months, with the possibility of awards up to $99.9 million. The opportunity is generally closed to foreign participation.

Overall Technical Areas

Dynamic Targeting EngagementWeapon-Target Pairing ToolsHuman-in-the-Loop SystemsLow SWaP-C ArchitecturesAssured Mission CommunicationsResilient NetworkingCombat Damage AssessmentMulti-Source Data FusionIndications & Warning AnalyticsAutomated Pattern RecognitionGraph-based AnalyticsAnomaly Detection TechniquesTest and Evaluation Methodologies

Probable LBNL Areas

BSACSAEESAESAETALDPSA

Focus Areas

Example Priorities:
  • Hundreds of dynamic targets must be found, fixed, tracked, targeted, and engaged at tactically relevant timescales.
  • Specific technologies of interest include human on the loop (HOTL) and human in the loop (HITL) weapon-target-pairing assignment tools which provide potential courses of action spanning multiple warfighting domains.
  • Furthermore, systems capable of operating in a networked, low size, weight, power, and cost (SWaP-C) configuration are of high interest.
Specific Technical Skills:
Human-Machine TeamingDecision Support SystemsWeapon-Target PairingOperations ResearchMulti-Domain OperationsLow SWaP-C DesignReal-time ProcessingTarget RecognitionAutomated PlanningKill Chain Automation
Potential PIs for this Area:
NameScoreOrganization
Oluwamayowa Amusat0.69CSA | SciData | Data Science Applications
Shawn Tornga0.69LD | LD | ONHS
Zhe Bai0.68CSA | AMCR | Computer Science
Samuel Williams0.67CSA | AMCR | Computer Science
Alexandre Moreira da Silva0.67ETA | ESDR | Energy Storage & Dist Dpt
Marco Pritoni0.67ETA | Building Technology & Urban Systems | Bldg Technologies Dept
Gazi Mahmud0.67BSA | Environmental Genomics & Systems Biology | Molecular Ecosystems Bio
Sufi Kaur0.66CSA | SciData | Data Science Applications
Donghun Kim0.66ETA | Building Technology & Urban Systems | Bldg Technologies Dept
Sunhee Baik0.66ETA | Energy Analysis & Environmental Impacts | Energy Markets & Policy
Example Priorities:
  • Operational environments will require mission-critical communications assurance.
  • Operating in a low-bandwidth, low-permissivity environment creates significant challenges for passing information and relaying commands during operations.
  • Additionally, adversarial interference in the electromagnetic spectrum poses a threat to mission success.
  • Technologies are required to avoid, mitigate, and counter these threats.
Specific Technical Skills:
Resilient NetworkingLow-Bandwidth CommunicationsElectronic WarfareAnti-Jamming TechniquesSignal ProcessingWaveform DesignCybersecurityRF EngineeringCommunications AssuranceSpectrum Management
Potential PIs for this Area:
NameScoreOrganization
Stijn (Stan) Wielandt0.71EESA | EG | Geophysics Dept
Sean Peisert0.69CSA | SciData | Data Science Applications
Sunhee Baik0.69ETA | Energy Analysis & Environmental Impacts | Energy Markets & Policy
John Wu0.69CSA | Scientific Networking (ESNET) | Tech Adv and Engagement
Alp Sipahigil0.68ESA | MSD | Material Physics
Boubacar Kante0.68ESA | MSD | Material Physics
Meriam Gay Bautista-Jurney0.67CSA | AMCR | Computer Science
Alex Newkirk0.67ETA | Building Technology & Urban Systems | Bldg & Industrial App Dpt
Anand Krishnan Prakash0.67ETA | Building Technology & Urban Systems | Bldg Technologies Dept
Alexandre Moreira da Silva0.67ETA | ESDR | Energy Storage & Dist Dpt
Example Priorities:
  • Technologies are needed to provide tactically relevant combat assessment during mission execution to inform re-strike and re-planning.
  • critical missions require battle damage assessment immediately post-strike, to inform planning for restrike and to drive potential changes to operations.
  • Specific technologies of interest include multi-source fusion approaches capable of reasoning over noisy, low-quality data while operating within a networked, low SWaP-C architecture.
Specific Technical Skills:
Battle Damage Assessment (BDA)Multi-Source Data FusionReal-time AnalyticsAutomated ReasoningSensor FusionMachine LearningLow SWaP-C ArchitectureUncertainty QuantificationImage ProcessingSignal Processing
Potential PIs for this Area:
NameScoreOrganization
Zhe Bai0.71CSA | AMCR | Computer Science
Shawn Tornga0.70LD | LD | ONHS
Alexander Sim0.70CSA | SciData | Data Science Research
Gazi Mahmud0.69BSA | Environmental Genomics & Systems Biology | Molecular Ecosystems Bio
Marco Salathe0.69PSA | NSD | ANP
Samuel Williams0.68CSA | AMCR | Computer Science
Oluwamayowa Amusat0.68CSA | SciData | Data Science Applications
John Wu0.68CSA | Scientific Networking (ESNET) | Tech Adv and Engagement
Nicola Falco0.68EESA | CESD | Integrated Ecosystem Sciences
Daniela Ushizima0.68CSA | AMCR | Applied Math & Computational Sciences Div Office
Example Priorities:
  • This technical area addresses analytics which utilize all available data sources to generate battlespace context and understanding of adversary readiness, intent, and overall posture via automated I&W / alerting at the metadata, object, and model levels...
  • Of particular interest are automated pattern recognition, graph-based analytics, and anomaly detection techniques.
  • A key consideration is to generate these patterns from machine readable data and to establish machine navigable relationships between objects/entities, relating events and interactions over time.
Specific Technical Skills:
Indications & WarningPredictive AnalyticsAutomated Pattern RecognitionGraph AnalyticsAnomaly DetectionMachine LearningData MiningKnowledge GraphsEntity Relationship ModelingIntelligence Analysis
Potential PIs for this Area:
NameScoreOrganization
Gazi Mahmud0.72BSA | Environmental Genomics & Systems Biology | Molecular Ecosystems Bio
Alexander Sim0.68CSA | SciData | Data Science Research
Marcos Lopez de Prado0.68CSA | SciData | Data Science Research
Edward Bethel0.67CSA | SciData | Data Science Research
Ana Kupresanin0.67CSA | Computing
Ana Comesana0.67ETA | Building Technology & Urban Systems | Bldg & Industrial App Dpt
Shreyas Cholia0.67CSA | SciData | Data Science Applications
Shawn Tornga0.66LD | LD | ONHS
Oluwamayowa Amusat0.66CSA | SciData | Data Science Applications
Marco Salathe0.66PSA | NSD | ANP
Example Priorities:
  • To ensure the operational effectiveness, suitability, and survivability of the aforementioned technologies, robust testing and evaluation (T&E) processes are required.
  • This focus area will consider the development and implementation of T&E methodologies, tools, and techniques that can be used to validate the performance of these technologies in realistic, operationally relevant environments.
  • Testing and evaluation will be conducted in a phased approach, beginning with laboratory-based testing to verify basic functionality and performance, followed by increasingly complex testing in simulated and field environments.
Specific Technical Skills:
Test & Evaluation (T&E)Modeling and Simulation (M&S)Verification and Validation (V&V)Operational AnalysisSystems EngineeringLive, Virtual, Constructive (LVC)Performance MetricsSurvivability AnalysisField TestingSoftware Testing
Potential PIs for this Area:
NameScoreOrganization
Alex Newkirk0.69ETA | Building Technology & Urban Systems | Bldg & Industrial App Dpt
Shawn Tornga0.69LD | LD | ONHS
Hannah Parrilla0.68PSA | NSD | ANP
Gregory Lemieux0.68EESA | CESD | Earth System Sciences
Sunhee Baik0.68ETA | Energy Analysis & Environmental Impacts | Energy Markets & Policy
Zachary Needell0.68ETA | Energy Analysis & Environmental Impacts | Sustainable Energy Dept
Laleh Cote'0.68LD | LD | Internships Office
Jennifer Stokes-Draut0.68ETA | Energy Analysis & Environmental Impacts | Sustainable Energy Dept
Brennan Less0.68ETA | Building Technology & Urban Systems | Whole Building Sys Dept
Anand Krishnan Prakash0.68ETA | Building Technology & Urban Systems | Bldg Technologies Dept

Potential LBNL PIs (Overall)

Note on PI Matching: These suggestions are generated through an AI-driven semantic analysis of LBNL staff profiles.

NameScoreOrganization
Georgios Michelogiannakis0.75CSA | AMCR | Computer Science · Low SWaP-C Architectures
Prabal Dutta0.73ETA | Building Tech. & Urban Sys. | Bldg Technologies Dept · Resilient Networking
Bruce Mah0.73CSA | ESNET | Tech Adv and Engagement · Assured Mission Communications
Alexandre Bayen0.73ETA | Energy Analysis | Systems & Energy Tech Analysis · Dynamic Targeting Engagement
Koushik Sen0.73CSA | AMCR | Computer Science · Test and Evaluation Methodologies
Victor Negut0.72PSA | NSD | ANP · Multi-Source Data Fusion
Tiffany Connors0.72CSA | NERSC | Data Center Department · Anomaly Detection Techniques
Satyarth Praveen0.72CSA | SciData | Data Science Applications · Automated Pattern Recognition
Claire Tomlin0.72BSA | Biological Systems & Engineering | Department of BioEngineering and BioMedical Sciences · Human-in-the-Loop Systems
Michael Mahoney0.71CSA | SciData | Data Science Research · Graph-based Analytics

Fundamental Research Exemption (FRE)

Any employee who is not a U.S. citizen or a permanent resident will be restricted from working on any resultant contract unless prior approval of the Department of State or the Department of Commerce is obtained via a technical assistance agreement or an export license.