PACR I at PVAMU IMPACT REPORT
2 0 25 - 2 0 2 6 P R O G R E S S U P DAT E
Princeton Alliance for Collaborative Research & Innovation A research partnership connecting Prairie View A&M University to Princeton University through faculty discovery, student opportunity and public impact.
INSIDE THIS REPORT This revised report focuses on PACRI impact at Prairie View A&M University. It is not intended to summarize PACRI as a whole. The emphasis is PVAMU research capacity, student opportunity, scholarly progress and the early return on collaborative investment.
1 2 3
3 4 5 6 12 13 14 15 16 17
PACRI at PVAMU, At a Glance A Partnership Built Around Questions That Matter National Context: HBCU Research Capacity and Cross-Institutional Collaboration Executive Summary MESSAGE FROM THE VICE PRESIDENT
Program Overview and Scale
PACRI is not only a research funding mechanism. It Capacity Building at PVAMU
is a bridge between people, ideas and institutions. At PVAMU, that bridge is carrying students into new research spaces, connecting faculty across
Project Profiles
disciplines and helping important questions move Scholarly Progress and Proposal Development Student Opportunity and Workforce Development
Return on Investment and the Work Ahead
does not sit on paper, but becomes experience, mentorship, discovery and public value.
AT A GLANCE
The Princeton Alliance for Collaborative Research and Innovation has created a focused research bridge between Prairie View A&M University and Princeton University. Through six active PVAMU projects, faculty and students are working with Princeton collaborators across national priority areas in sustainable energy, artificial intelligence, metabolic health, genomics, democratic accountability and cybersecurity.
Vice President for Research and Innovation Prairie View A&M University
Appendix A: Project Portfolio Summary
R E P O R T
2025-2026 PROGRESS REPORT
12
$842K Funded Research PVAMU active portfolio
6 A ctive Projects
Across six domains
Magesh T. Rajan, Ph.D., P.E., MBA
Closing Statement
I M P A C T
promise of this partnership: research capacity that
Dr. Magesh Rajan
Partnership Value
PACR I at PVAMU
from possibility to progress. That is the deeper
PACR I at PVAMU Lead Faculty
Institutions
PVAMU and Princeton PIs
PVAMU and Princeton
1
2
Princeton Alliance for Collaborative Research and Innovation
What the PVAMU Portfolio is Already Producing
Behind the metrics are faculty teams building trust, students stepping into new research environments and projects that connect PVAMU scholarship to national questions.
PORTFOLIO AREA
EARLY PROGRESS
Sustainable aviation fuels
Experimental combustion capacity at PVAMU, Princeton-linked simulation activity, graduate student research at Princeton and multiple 2026 conference outputs reported.
NATIONAL CONTEXT
HBCU Research Capacity and Cross-Institutional Collaboration
At its best,
The national research landscape is moving through
collaborative research
an important period of growth for Historically Black
does more than
Colleges and Universities. More HBCUs are building
Underwater computer vision
One manuscript submitted to IEEE Transactions on Image Processing, a second manuscript ready for submission and PVAMU Ph.D. student engagement with Princeton researchers at CVPR 2024.
the systems, partnerships, infrastructure and doctoral
connect institutions.
pathways required to compete at higher levels of
It creates new
research activity. PVAMU is part of that movement as
pathways for
a public HBCU and land-grant institution within The
Microbiome and digestibility
Research examining food digestibility, inflammation, metabolism and gut microbiome composition, with student lab training across both institutions.
Texas A&M University System.
faculty discovery, student opportunity
PACRI fits directly within this moment. For PVAMU, the
DNA methylation and machine learning
A completed master's thesis, a conference presentation, one manuscript under preparation and additional papers in development.
value of the model is not prestige by association. The a way to build relationships, generate early findings, train
Co-racial voting
Political science conference activity and a manuscript submitted to American Political Science Review.
Deepfake detection
NSF proposal activity, papers in preparation and graduate student training in cybersecurity and computer vision.
and public impact.
value is structure. The program gives faculty teams students
and
move
toward
manuscripts,
proposals and long-term scholarly outcomes.
EXECUTIVE SUMMARY This report examines PACRI impact at Prairie View A&M University. PACRI was created by Princeton University in
A Partnership Built Around Questions That Matter
collaboration with UNCF and five HBCUs, including PVAMU. The pages that follow focus specifically on the six active PVAMU projects and what they are making possible for PVAMU faculty, students and research capacity.
Every strong research partnership begins with a question. Through PACRI, PVAMU faculty and Princeton
At PVAMU, PACRI currently supports six collaborative research projects totaling $842K. The projects pair PVAMU
collaborators are pursuing questions that address national priorities in sustainable energy, artificial intelligence,
faculty with Princeton faculty in fields aligned with national priorities, including sustainable aviation fuels,
health disparities, genomics, democratic accountability, digital trust and cybersecurity.
artificial intelligence, computer vision, metabolic health, genomics, political behavior and cybersecurity.
At PVAMU, those questions are not abstract. They are becoming apparatus development, data analysis,
The early evidence shows PACRI functioning as a research-capacity accelerator. Faculty teams are developing
manuscripts, graduate student training and the next round of research proposals. The program is not defined
data, advancing manuscripts, preparing proposals, training graduate students and creating cross-institutional
by distance between institutions. It is defined by the work faculty and students are doing across that distance.
research relationships that can continue beyond the initial project period.
This report captures a portfolio still in motion. Some projects are building equipment. Some are moving
The story is still developing, but the direction is clear: when institutions build real pathways for collaboration,
manuscripts forward. Some are training students in labs, conferences and advanced computational methods.
research growth becomes more than an institutional goal. It becomes something students can enter, faculty can
Together, they show how collaborative research can open doors that stay open long after a project begins.
shape and communities can eventually feel.
PACR I at PVAMU
I M P A C T
R E P O R T
2025-2026 PROGRESS REPORT
2
3
Princeton Alliance for Collaborative Research and Innovation
Capacity Building at PVAMU
PACRI is fundamentally a capacity-building program for PVAMU. Its value is not limited to the first project cycle. The portfolio is helping PVAMU faculty teams build the people, tools, evidence and relationships needed to compete for larger opportunities over time.
Program Overview and Scale
CAPACITY DIMENSION
PVAMU VALUE
Research infrastructure
The sustainable aviation fuels project is strengthening PVAMU experimental combustion capacity through new apparatus development, imaging diagnostics, drop tower preparation and recovery systems.
Faculty competitiveness
The portfolio is supporting manuscripts, conference activity, NSF proposal movement and new data that can seed future external funding.
PACRI was designed to support research teams consisting of HBCU and Princeton faculty. For PVAMU, the portfolio includes projects that span engineering, computer science, nutrition, genomics, political science and cybersecurity.
PORTFOLIO AREA
1 2 3 4 5 6
Unraveling and Modeling Non-Monotonicities for Blend-In Sustainable Aviation Fuels Computer Vision for Underwater Exploration The Impact of Proteins and Dietary Fibers on the Microbiome Exploring Applications of Machine Learning for DNA Methylation Experiments Unpacking the Dynamics of Co-Racial Voting Deepfake Detection: Solutions for a Growing Cybersecurity Concern
PACR I at PVAMU
I M P A C T
R E P O R T
2025-2026 PROGRESS REPORT
PVAMU PI
Dr. Ziaul Huque
Dr. Suxia Cui
PRINCETON PI
RESEARCH AREA
Dr. Michael Mueller
Sustainable aviation fuels and combustion
Dr. Olga Russakovsky
Computer vision, image enhancement and AI
Dr. Javad Barouei
Dr. Joshua Rabinowitz
Microbiome, metabolism and health disparities
Dr. Noushin Ghaffari
Dr. Bridgett vonHoldt
Genomics, machine learning and trait discovery
Dr. Melanye Price
Dr. Yonghui Wang
Dr. Ismail White
Dr. Jia Deng
Political behavior and democratic accountability
Cybersecurity, AI and computer vision
Student preparation
Students are gaining lab, computational, conference and cross-institutional research exposure that strengthens technical confidence and workforce readiness.
Partnership readiness
PVAMU teams are building working relationships with Princeton collaborators that can support future proposals, center concepts, industry engagement and sustained scholarly networks.
In this sense, PACRI is not only supporting projects. It is strengthening PVAMU research capacity in ways that can compound through proposals, publications, student training and future partnerships.
1 2 3 4 CAPACITY BUILDING PATHWAY
RELATIONSHIP
EVIDENCE
STUDENT OPPORTUNITY
EXTERNAL COMPETITIVENESS
PVAMU and
Teams generate
Students gain training
Early findings
Princeton faculty
data, build technical
in labs, computational
and partnerships
teams form working
methods, test
methods,
become the basis for
collaborations around
assumptions and
conferences and
manuscripts, federal
shared research
prepare scholarly
advanced research
proposals, industry
questions.
products.
environments.
discussions and centerscale opportunities.
4
5
Princeton Alliance for Collaborative Research and Innovation
1
PROJECT PROFILE
Unraveling and Modeling Non-Monotonicities for Blend-In Sustainable Aviation Fuels
PVAMU PI
PRINCETON PI
RESEARCH AREA
Dr. Ziaul Huque
Dr. Michael Mueller
Sustainable aviation fuels and combustion
RESEARCH OBJECTIVE
This project advances understanding of fuel droplet evaporation, ignition and combustion processes relevant to sustainable aviation fuel, future aviation and naval propulsion systems. The PVAMU-Princeton collaboration is building experimental capability at PVAMU while connecting students to advanced combustion modeling and simulation activity at Princeton.
ACCOMPLISHMENTS AND PROGRESS
STUDENT IMPACT
PVAMU is developing a High-Pressure Combustion Apparatus designed to operate up to 4.0 MPa, or 40 atm, with four optical viewing ports for future high-speed imaging, soot diagnostics and advanced measurement techniques.
Two PVAMU graduate students are currently participating in summer research activities at Princeton University. Students are gaining experience with experimental design, fabrication, assembly, troubleshooting, imaging diagnostics, data analysis, advanced combustion modeling tools and high-performance computing resources.
A second-generation atmospheric combustion chamber has been designed and constructed to improve temperature uniformity, reduce convective disturbances and support future ignition studies.
NEXT STEPS
Atmospheric-pressure experiments have been conducted with n-hexadecane, methyl decanoate, decane, toluene, methanol, ethanol and selected hydrocarbon-alcohol blends to establish baseline evaporation behavior.
Commission the High-Pressure Combustion Apparatus and begin the first series of elevated-pressure combustion experiments.
PVAMU has advanced microgravity combustion capability through a 42.25-foot drop tower, an electromagnetic release mechanism rated at approximately 2200 lb, a developing drop package and a custom steel deceleration tank.
I M P A C T
R E P O R T
Dr. Suxia Cui
PRINCETON PI
RESEARCH AREA
Dr. Olga Russakovsky
Computer vision, image enhancement and explainable AI
RESEARCH OBJECTIVE
This project advances underwater image enhancement using transformer-based architectures and generative diffusion models. The work responds to a real technical challenge: underwater environments distort light, color and detail in ways that make machine vision difficult.
ACCOMPLISHMENTS AND PROGRESS
STUDENT IMPACT
The team is combining image processing, generative modeling and explainable AI to improve underwater image clarity.
PVAMU Ph.D. students engaged with Princeton researchers at CVPR 2024, strengthening exposure to one of the world's major computer vision research communities.
Regular biweekly meetings have created a steady rhythm for collaboration between PVAMU and Princeton researchers.
The project gives students a pathway into advanced AI methods, technical manuscript development and the research culture of a highly competitive field.
One manuscript has been submitted to IEEE Transactions on Image Processing and a second manuscript is ready for submission.
NEXT STEPS Advance the second manuscript to submission. Continue refining image enhancement methods and strengthen the explainability component of the research. Use the existing collaboration rhythm to support future proposal and publication opportunities.
Prepare for future microgravity combustion testing through drop package and drag shield integration, structural validation and initial drop tests.
A custom MATLAB-based image-processing platform now supports droplet boundary identification, diameter tracking, eccentricity calculation and D 2-law evaporation analysis.
2025-2026 PROGRESS REPORT
PVAMU PI
Computer Vision for Underwater Exploration
Integrate advanced ignition systems, implement soot diagnostics and continue precision droplet-on-demand generation development.
Recent experiments demonstrated droplet evaporation at temperatures approaching 1000°F, or 538°C, while high-speed observations captured vapor flashing, internal boiling, droplet deformation and secondary atomization.
PACR I at PVAMU
2
PROJECT PROFILE
6
PROJECT HEARTBEAT
PROJECT HEARTBEAT
PVAMU students and faculty are helping build the
The work is helping PVAMU students engage
experimental capacity needed to study cleaner
advanced
fuels while Princeton collaboration opens a
technical manuscripts through a competitive
deeper simulation and modeling pathway.
scholarly pipeline.
7
AI
research
while
faculty
move
Princeton Alliance for Collaborative Research and Innovation
3
PROJECT PROFILE
PVAMU PI
Dr. Javad Barouei
The Impact of Proteins and Dietary Fibers on the Microbiome PRINCETON PI
RESEARCH AREA
Dr. Joshua Rabinowitz
Microbiome, metabolism and health disparities
4
PROJECT PROFILE
Exploring Applications of Machine Learning for DNA Methylation Experiments
RESEARCH OBJECTIVE
This project examines how food digestibility may influence inflammation, metabolism, immunity and gut microbiome composition. Its public relevance is tied to future understanding of diet, digestion, metabolic health and health disparities.
PVAMU PI
PRINCETON PI
RESEARCH AREA
Dr. Noushin Ghaffari
Dr. Bridgett vonHoldt
Genomics, machine learning and trait discovery
RESEARCH OBJECTIVE
This project applies machine learning to DNA methylation data to better understand species-level traits and regulatory patterns in pinnipeds, including seals and sea lions. It sits at the intersection of genomics, data science and computational biology.
ACCOMPLISHMENTS AND PROGRESS
STUDENT IMPACT
Using a mouse model, researchers found that highly digestible carbohydrates increased intestinal inflammation.
PVAMU students have received handson research training in both PVAMU and Princeton labs.
The team also found that plant-based proteins, being less digestible, had stronger anti-inflammatory effects compared to animal proteins.
The experience helps students move from learning scientific concepts to practicing inquiry in environments where questions are tested, measured and refined.
The project links microbiome science, nutrition research and metabolic health questions through an active PVAMUPrinceton collaboration.
NEXT STEPS Explore digestibility within obesogenic diets to further understand metabolic impact.
STUDENT IMPACT The work is tied to a completed master's thesis and a conference presentation. The project shows how student-driven computational work can move from thesis development to conference engagement and journal output.
NEXT STEPS Continue manuscript development, including one manuscript currently under preparation and additional papers in development.
Continue building the student training pathway across both institutions. Position the research for future external opportunities connected to metabolism, diet, inflammation and health disparities.
Use the computational workflow to support additional comparative genomics questions and future data-science training opportunities.
ACCOMPLISHMENTS AND PROGRESS PVAMU researchers used the Methyl Kit pipeline to identify differentially methylated sites and regions across tissue types, sexes and species groups.
PROJECT HEARTBEAT A
question
about
digestibility
becomes
a
pathway for student lab training and a deeper look at diet-driven inflammation and metabolic health.
PACR I at PVAMU
I M P A C T
R E P O R T
2025-2026 PROGRESS REPORT
8
A key outcome was successful classification of methylation patterns using Bayesian Neural Networks.
PROJECT HEARTBEAT A student-centered computational genomics project is turning complex methylation data
The project summary reported near-perfect classification accuracy without traditional bioinformatics tools.
into a pathway for discovery, presentation and publication.
9
Princeton Alliance for Collaborative Research and Innovation
5
PROJECT PROFILE
PVAMU PI
Dr. Melanye Price
Unpacking the Dynamics of Co-Racial Voting PRINCETON PI
RESEARCH AREA
Dr. Ismail White
Political behavior, racial identity and democratic accountability
RESEARCH OBJECTIVE
PACRI’s portfolio is not limited to laboratories, data systems and engineering equipment. It also reaches into questions of democracy, representation and accountability. This project examines co-racial voting and the ways racial identity may shape political behavior. The work gives PACRI a critical social science anchor. It places PVAMU and Princeton collaboration in conversation with questions of public trust, voter behavior and democratic accountability. The project team has presented work at political science conferences and submitted a manuscript to American Political Science Review. A related paper title identified in PVAMU’s Year in Review materials, Assessing Racial Identity as Constraint on Democratic Accountability, points to the heart of the work: how identity, representation and accountability interact in democratic life.
6
PROJECT PROFILE
Deepfake Detection: Solutions for a Growing Cybersecurity Concern
PVAMU PI
PRINCETON PI
RESEARCH AREA
Dr. Yonghui Wang
Dr. Jia Deng
Cybersecurity, AI and computer vision
RESEARCH OBJECTIVE
This project addresses the growing challenge of AI-generated images by developing more generalizable deepfake detection methods. As synthetic media becomes easier to create, the project responds to one of the defining digital-trust questions of the AI era: how do people, institutions and systems know what is real?
ACCOMPLISHMENTS AND PROGRESS
STUDENT IMPACT
The research focuses on local artifact features commonly found in images generated by GAN-based and diffusionbased models.
Graduate student training has been reported through the project. Student training contributes to both academic advancement and workforce development in cybersecurity, AI and computer vision.
The team is using traditional signal processing techniques, including wavelet transforms, with deep learning to improve fake-versus-real image detection. One NSF proposal has been submitted and another NSF proposal is underway.
NEXT STEPS
Papers are in preparation for publication.
Advance the second NSF proposal now underway. Move papers in preparation toward submission. Continue student training around cybersecurity, AI-enabled image analysis and digital trust.
PROJECT HEARTBEAT PROJECT HEARTBEAT This collaboration brings political science into
PACR I at PVAMU
I M P A C T
R E P O R T
2025-2026 PROGRESS REPORT
10
the center of the PACRI story, showing that public
PVAMU and Princeton researchers are training
impact also lives in questions of democracy,
students while taking on one of the defining
identity and trust.
digital-trust challenges of the AI era.
11
Princeton Alliance for Collaborative Research and Innovation
Scholarly Progress and Proposal Development
PACRI's early outcomes show a growing research-development pipeline at PVAMU. The portfolio includes manuscripts submitted or in preparation, conference activity, thesis work, NSF proposal movement, facility development and student training. The work is still active, but the direction is clear: collaboration is becoming scholarly output and external competitiveness.
OUTPUT TYPE
PORTFOLIO AREA
EARLY PROGRESS
Conference output
Sustainable aviation fuels
ILASS-Americas 2026 presentation reported.
Poster accepted
Sustainable aviation fuels
ASME SHTC 2026 poster accepted.
Abstracts accepted
Sustainable aviation fuels
Two ASME IMECE 2026 abstracts accepted.
Poster accepted
Sustainable aviation fuels
ISOC WiPP 2026 poster accepted.
Student Opportunity and Workforce Development
The student story sits near the center of PACRI at PVAMU. Research growth matters because it changes what
Journal manuscript
Underwater computer vision
Submitted to IEEE Transactions on Image Processing.
Journal manuscript
Underwater computer vision
Second manuscript ready for submission.
PROJECT AREA
STUDENT OPPORTUNITY
Thesis
DNA methylation and machine learning
Completed master's thesis.
Sustainable aviation fuels
Two PVAMU graduate students are currently participating in summer research activities at Princeton University.
Conference presentation
DNA methylation and machine learning
Conference presentation reported.
Underwater computer vision
PVAMU Ph.D. students engaged with Princeton researchers at CVPR 2024.
Journal manuscript
Co-racial voting
Submitted to American Political Science Review.
Microbiome
PVAMU students received hands-on research training in both PVAMU and Princeton labs.
Proposal
Deepfake detection
One NSF proposal submitted.
DNA methylation and ML
The project contributed to a completed master's thesis and conference presentation.
Proposal
Deepfake detection
Another NSF proposal underway.
Deepfake detection
Graduate student training has been reported in cybersecurity and computer vision.
Manuscripts
Deepfake detection
Papers in preparation.
students can access. It places them in labs, meetings, conferences and computational environments where they learn how knowledge is built.
These experiences help students build technical confidence, professional networks and a clearer sense of where their research can take them. In that way, PACRI links institutional research growth to student possibility.
PACRI turns early collaboration into a research-development sequence: partnership, data, student training, manuscript preparation, proposal development and external research competitiveness.
PACR I at PVAMU
I M P A C T
R E P O R T
2025-2026 PROGRESS REPORT
12
The value of PACRI is measured not only in manuscripts and proposals. It is also measured in the confidence, discipline and research identity students carry forward.
13
Princeton Alliance for Collaborative Research and Innovation
The Work Ahead
The strongest measure of PACRI at PVAMU will be the record it builds over time: articles published, proposals submitted, students trained, presentations delivered, facilities strengthened and collaborations that continue because the first project made another one possible. At this stage, the return on investment is best understood as both current evidence and future capacity. The current evidence includes $842K in funded research, six active PVAMU projects, one NSF proposal submitted, another NSF proposal underway, manuscripts submitted or in preparation, conference outputs and reported student training. The future capacity is the stronger proposal base, research infrastructure and partnership network those activities create.
ROI AREA
HOW IT CAN BE MEASURED
Proposal leverage
second NSF proposal is underway. Future opportunities may align with NSF,
At least one NSF proposal has been submitted through the portfolio and a NIH, DOE and USDA depending on project maturation and sponsor fit.
Manuscripts submitted or in preparation, thesis work, conference
Scholarly output
presentations, accepted posters and accepted abstracts create a documented scholarly pipeline.
The sustainable aviation fuels project is building PVAMU combustion
Infrastructure return
capability through apparatus development, imaging diagnostics, drop tower preparation and recovery systems.
Partnership Value
PACRI strengthens PVAMU's research trajectory by expanding faculty collaboration, supporting student
Student return
HBCU researchers around shared questions of scientific,
PACRI turns partnership into practice:
technological and public importance.
faculty teams,
development and connecting PVAMU researchers to Princeton faculty in high-impact fields. It also creates a structured path for Princeton faculty to work with
For UNCF and the broader HBCU research ecosystem, the PVAMU portfolio supports a model of research investment that recognizes HBCUs as essential contributors to national discovery, workforce development and public
PVAMU students are gaining Princeton research exposure, lab training, computational experience and conference-facing development.
Faculty relationships can support future multi-investigator proposals,
Partnership return
center concepts, industry-facing research conversations and sustained cross-institutional collaboration.
student engagement, research outputs and proposal development.
The portfolio addresses needs tied to cleaner fuels, digital trust,
Public return
metabolic health, genomics, democratic accountability and technical workforce preparation.
impact. For students, the program creates access to research teams, technical methods, conference exposure and cross-institutional mentorship.
PACR I at PVAMU
I M P A C T
R E P O R T
2025-2026 PROGRESS REPORT
14
15
Princeton Alliance for Collaborative Research and Innovation
Appendix A: Project Portfolio Summary RESEARCH AREA
PACR I at PVAMU I M PAC T R E P O R T CLOSING STATEMENT
PACRI at PVAMU is more than a funding mechanism. It is a partnership platform connecting faculty discovery, student opportunity and national research priorities.
At Prairie View A&M University, the program is helping build research capacity in areas that matter now: sustainable aviation fuels, artificial intelligence, health, genomics, democratic accountability and cybersecurity.
The early progress is clear. Faculty teams are collaborating. Students are being trained. Manuscripts and proposals are moving forward. Facilities and methods are being built. Most importantly, PACRI is creating the conditions for research relationships to become student opportunity, scholarly progress and public value. PACRI at PVAMU demonstrates how strategic partnerships between leading research universities and HBCUs can accelerate discovery, strengthen research capacity, expand student opportunity and address national challenges. Through collaborative scholarship, workforce development and sustained institutional engagement, the PVAMU portfolio is contributing to a model for research partnerships that delivers scientific advancement, educational opportunity and public value.
1
Sustainable aviation fuels
2
Underwater computer vision
3
Microbiome and digestibility
4
DNA methylation and ML
5
Co-racial voting
The story of PACRI at PVAMU is a story of questions becoming collaborations and collaborations becoming pathways.
PACR I at PVAMU PACR I
I M P A C T
R E P O R T
2025-2026 PROGRESS REPORT
16
6
Deepfake detection
CORE WORK
Combustion research supported by PVAMU experimental development, high-pressure apparatus preparation, imaging diagnostics, drop tower development and Princeton-linked simulations
PROGRESS MARKER
Two graduate students at Princeton, facility milestones, multiple 2026 conference outputs and future elevatedpressure and microgravity testing
Transformer-based and
IEEE Transactions on
diffusion-model research
Image Processing submission
for underwater image enhancement
and second manuscript ready
Research on digestibility, inflammation, metabolism, immunity and gut microbiome composition
PVAMU student training in both institutions' labs
Machine learning applied
Completed master's thesis, conference
to methylation data
presentation and manuscripts in
in pinniped species
development
Political science research on racial identity,
Political science conference activity
voting and democratic accountability
and APSR manuscript submission
Hybrid signal processing and
NSF proposal activity, papers in
deep learning methods
preparation and graduate student
for generated-image detection
training reported
17
Princeton Alliance for Collaborative Research and Innovation
pvamu.edu