ONHS Report: BAA0001-22

DLA Emergent IV Research and Development Program

Solicitation ID: BAA0001-22_

Agency: DLA/DLA Contracting Services Office - Philadelphia

Type: Combined Synopsis/Solicitation

Deadline: 2027-06-12T17:00:00 ET

Eligibility: Maybe (Unspecified)

Funding: N/A

Doc Type: BAA

Clearance: CUI

Program Manager: Imes Chiu

Last Updated: 2025-11-24 13:25

Analyzed File: BAA0001-22 - Emergent IV BAA - Amendment 0034.pdf

Eligibility Reasoning

Eligibility for FFRDCs or National Labs was not mentioned.

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

Summary

This document is Amendment 34 to the Defense Logistics Agency's (DLA) Emergent IV Research and Development Broad Agency Announcement (BAA0001-22). Its primary purpose is to update and refine the Areas of Interest (AOIs) for which DLA is seeking R&D proposals. Key technical updates include: revising the Advanced Manufacturing task area to focus on intellectual property, digital verification, and source approval for additive manufacturing; expanding the Energy Research program with a new AOI for "Operational Energy Integration" focused on resilient fuel logistics in contested environments; and adding new research topics under Human-Machine Teaming for extending the shelf life of Calcium Sulfoaluminate (CSA) cement and advancing tamper-detection seals. The amendment also details ongoing interests in medical logistics, digital engineering (including digital twins), AI/ML, anti-counterfeiting, and blockchain, while updating several technical points of contact.

Overall Technical Areas

Medical Supply Chain AnalyticsAdvanced & Additive ManufacturingDigital Engineering & TwinningArtificial Intelligence & Machine LearningInternet of Things (IoT) LogisticsAnti-Counterfeiting TechnologiesRenewable Energy & StorageAlternative & Synthetic FuelsPredictive Analytics & ModelingAutonomous Logistics SystemsLithium Battery DeactivationBlockchain for Supply ChainEdge Computing ArchitecturesHuman-Machine TeamingAdvanced Cementitious Materials

Probable LBNL Areas

BSACSAEESAESAETALDPSA

Focus Areas

Example Priorities:

Extending the model-based approach by incorporating digital engineering technologies and practices that connect business and technical data such as artificial intelligence, augmented realities, digital twin, and machine learning;
Building Digital Twin of Organization (DTO) that simulates DLA’s business processes such as Acquire to Retire (A2R) and sub-processes such as supply chain (DTSC – Digital Twin of Supply Chain)
Generative Artificial Intelligence: The capability to generate text, image, content, code, video, or audio based on some given parameters or examples.
Research in this area shall focus on ways to enable DLA to increase efficiency through process automation, transparency, traceability, and transaction verification more efficient.
Research in this area shall focus on the ability to digitally connect and automate DLA processes at the edge and allow for organizations within DLA to extend the reach and visibility of their supply chains.

Specific Technical Skills:

Artificial IntelligenceMachine LearningDigital TwinDigital EngineeringBlockchainEdge ComputingData AnalyticsSupply Chain OptimizationGenerative AIAugmented Reality

Potential PIs for this Area:

Name	Score	Organization
Gazi Mahmud	0.70	BSA \| Environmental Genomics & Systems Biology \| Molecular Ecosystems Bio
Oluwamayowa Amusat	0.70	CSA \| SciData \| Data Science Applications
Alexander Sim	0.70	CSA \| SciData \| Data Science Research
Neel Rajeshbhai Vora	0.70	PSA \| ATAP \| BACI
Marco Pritoni	0.69	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Cindy Zhu	0.69	ETA \| Building Technology & Urban Systems \| Whole Building Sys Dept
Rohan Adwankar	0.69	BSA \| Biological Systems & Engineering \| Process Engr & Analytics
Hasita Veluri	0.69	CSA \| AMCR \| Computer Science
Han Li	0.69	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Jeetika Malik	0.69	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept

Example Priorities:

AM projects that address... use of digital thread to maintain a consistent AM product from design through qualification and acceptance.
Advanced manufacturing R&D projects that address new paradigms, methods, processes, or equipment for new or existing manufacturing products, materials, or supply chain components
Artificial Intelligence Defect Detection Systems
DLA is looking at chemical improvements that enhance cement’s resistance to moisture uptake and other innovative cost-effective ways to produce cement with a shelf life of seven years.
Advancing Indicative and Conductive Seals for Tamper Detection

Specific Technical Skills:

Additive ManufacturingDigital ThreadMaterials ScienceAI for Quality ControlRoboticsPolymer ScienceMetallurgyCement ChemistryTamper Detection

Potential PIs for this Area:

Name	Score	Organization
Anubhav Jain	0.71	ETA \| ESDR \| Energy Storage & Dist Dpt
Prakash Rao	0.71	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Daryl Chrzan	0.71	ESA \| MSD \| Material Physics
Guoying Chen	0.70	ETA \| ESDR \| Energy Storage & Dist Dpt
Stephen Harris	0.70	ETA \| ESDR \| Energy Storage & Dist Dpt
Rohan Adwankar	0.70	BSA \| Biological Systems & Engineering \| Process Engr & Analytics
Carolin Sutter-Fella	0.70	ESA \| MF \| MF Inorganic Facility
Xiong Peng	0.70	ETA \| ESDR \| Energy Storage & Dist Dpt
Alex Newkirk	0.70	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Peter Hosemann	0.70	ESA \| MSD \| Material Physics

Example Priorities:

providing a single low-cost anti- counterfeiting technical solution that can authenticate items in multiple Federal Supply Classes (FSCs)
Autonomous Delivery Systems: Develop and deploy unmanned ground vehicles (UGVs) and drones for secure and efficient fuel transportation in high-risk zones, reducing reliance on vulnerable convoys.
Supply Chain Simulation & Wargaming: Develop sophisticated simulation environments to model and analyze various scenarios, optimize supply chain resilience, and enhance preparedness for potential disruptions.
Utilize data analytics and machine learning to develop predictive maintenance models for pipelines and other critical infrastructure, anticipated failures and minimizing downtime.

Specific Technical Skills:

Anti-CounterfeitingSupply Chain SecurityLogistics SimulationWargamingAutonomous Systems (UGV/UAV)Risk ManagementMicroelectronics AuthenticationPredictive MaintenanceCybersecurity

Potential PIs for this Area:

Name	Score	Organization
Alex Newkirk	0.71	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Sunhee Baik	0.70	ETA \| Energy Analysis & Environmental Impacts \| Energy Markets & Policy
Thomas Hendrickson	0.70	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Nica Campbell	0.68	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Alexandre Moreira da Silva	0.68	ETA \| ESDR \| Energy Storage & Dist Dpt
Susan Shaheen	0.68	ETA \| Energy Analysis & Environmental Impacts \| Energy Analysis Env Impac
Alexander Sim	0.68	CSA \| SciData \| Data Science Research
Anand Krishnan Prakash	0.68	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Unique Karki	0.67	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Donghun Kim	0.67	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept

Example Priorities:

Enhancing military adoption and use of fuel products derived from alternatives to petroleum;
Mobile Refining & Modular Infrastructure: Invest in deployable, modular refining units and mobile fuel storage solutions to create a decentralized and agile network less susceptible to disruption.
Invest in advanced energy storage solutions and develop deployable microgrids to enhance operational resilience and reduce reliance on vulnerable power grids.
DLA seeks projects to implement a preferred lithium battery deactivation technology at key Continental U.S. (CONUS) and Outside the Continental U.S. (OCONUS) locations.

Specific Technical Skills:

Renewable EnergyAlternative FuelsPetroleum EngineeringBattery DeactivationLithium-ion ChemistryRecycling TechnologyMicrogridsMobile RefiningEnergy Storage Systems

Potential PIs for this Area:

Name	Score	Organization
Muhammad Ihsan Ul Haq	0.74	ESA \| MF \| MF Image and Manipulation
Bryan Mccloskey	0.73	ETA \| ESDR \| Energy Storage & Dist Dpt
Andrew Haddad	0.73	ETA \| ESDR \| Energy Storage & Dist Dpt
Guoying Chen	0.73	ETA \| ESDR \| Energy Storage & Dist Dpt
Peng Peng	0.73	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Boxun Hu	0.72	ETA \| ESDR \| Energy Storage & Dist Dpt
Bo Shen	0.72	ETA \| Building Technology & Urban Systems \| Whole Building Sys Dept
Michael Whittaker	0.72	EESA \| EG \| Geochemistry Dept
Chun Chang	0.72	EESA \| EG \| Hydrogeology Dept
Michael Tucker	0.72	ETA \| ESDR \| Energy Storage & Dist Dpt

Example Priorities:

DLA seeks projects that address connecting devices and users or systems to the data necessary to provide 'cradle to grave' logistical sustainment; for example, the technology to acquire and organize the vast amount of data that will be supplied by these devices.
Response must focus on various ways to help ensure worker’s safety, efficiencies, and effectiveness in disposition warehouses by automating repetitive and mundane tasks and provide data on improved performance.
Response must focus on an extensive review of literature on the next generation of satellite based IoT network with the latest terrestrial global roaming capabilities available in the market today.
Research shall focus on solutions to identify and resolve medical logistics that support challenges at low cost.

Specific Technical Skills:

Internet of Things (IoT)Warehouse AutomationRoboticsHuman-Machine TeamingSatellite CommunicationsGlobal Asset TrackingData AnalyticsMedical LogisticsSensor Networks

Potential PIs for this Area:

Name	Score	Organization
Anand Krishnan Prakash	0.68	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Marco Pritoni	0.68	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Rohan Adwankar	0.68	BSA \| Biological Systems & Engineering \| Process Engr & Analytics
Jennifer Stokes-Draut	0.68	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Gazi Mahmud	0.68	BSA \| Environmental Genomics & Systems Biology \| Molecular Ecosystems Bio
Oluwamayowa Amusat	0.68	CSA \| SciData \| Data Science Applications
John Wu	0.67	CSA \| Scientific Networking (ESNET) \| Tech Adv and Engagement
Alex Newkirk	0.67	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Jean Luca Bez	0.67	CSA \| SciData \| Data Science Research
Jeetika Malik	0.67	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept

Example Priorities:

Identify, test, pilot, and prototype emerging technologies and build collaborative partnerships to enhance efficacy, efficiency, and effectiveness.
Provide effective and efficient transition of programs from prototype to production.
Conduct Enterprise user-centered needs analysis to define opportunities focused on emerging technologies.
Promote a Culture of Early-Adoption of Emerging Technologies – Foster a culture within the organization that embraces change, encourages experimentation, and supports continuous learning and improvement.

Specific Technical Skills:

Technology PilotingPrototypingProgram ManagementTransition PlanningUser-Centered DesignStakeholder ManagementChange ManagementSystems IntegrationNeeds Analysis

Potential PIs for this Area:

Name	Score	Organization
Drew Paine	0.71	CSA \| SciData \| Data Science Applications
Margaret Taylor	0.70	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Laleh Cote'	0.69	LD \| LD \| Internships Office
Kristina S. H. LaCommare	0.69	ETA \| Building Technology & Urban Systems \| Whole Building Sys Dept
Danielle Svehla Christianson	0.69	CSA \| SciData \| Data Science Applications
Matthias Sulzer	0.69	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Thomas Hendrickson	0.68	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Nihan Karali	0.68	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Jeetika Malik	0.68	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Alex Newkirk	0.68	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt

Potential LBNL PIs (Overall)

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

Name	Score	Organization
Franco Zunino	0.79	ESA \| MF \| MF NCEM Facility · Advanced Cementitious Materials
Ravi Prasher	0.77	ETA \| ESDR \| Energy Storage & Dist Dpt · Renewable Energy & Storage
Samveg Saxena	0.75	ETA \| ESDR \| Energy Storage & Dist Dpt · Alternative & Synthetic Fuels
Nicholas DeForest	0.75	ETA \| ESDR \| Energy Storage & Dist Dpt · Digital Engineering & Twinning
Daniel Arnold	0.74	ETA \| ESDR \| Energy Storage & Dist Dpt · Artificial Intelligence & Machine Learning
Minok Park	0.74	ETA \| ESDR \| Energy Storage & Dist Dpt · Advanced & Additive Manufacturing
Georgios Michelogiannakis	0.74	CSA \| AMCR \| Computer Science · Edge Computing Architectures
Thomas Hendrickson	0.74	ETA \| Energy Analysis \| Systems & Energy Tech Analysis · Medical Supply Chain Analytics
Yanbao Fu	0.74	ETA \| ESDR \| Energy Storage & Dist Dpt · Lithium Battery Deactivation
Eric O'Shaughnessy	0.74	ETA \| Energy Analysis \| Energy Markets & Planning · Predictive Analytics & Modeling

Fundamental Research Exemption (FRE)

Not Mentioned