Scalable computing foundations
Earlier work explores CUDA, MapReduce, Pthreads, and cloud-scale genomic analysis—different approaches to making computational work practical at scale.
Dr. Benjamin Harvey · Research portfolio
Science in service of people.
Science in service of people.Distributed & Federated AI
Intelligence across systems and boundaries.
When does coordination across agents and computing environments improve useful outcomes?
The problem.
Distributing intelligence introduces coordination, data-boundary, evidence, and accountability challenges. My current agenda studies organized agent systems; earlier cloud and parallel-computing research provides a technical foundation. Federated AI is an expanding direction, not a claimed completed body of federated-learning experiments.
My research contributions.
Coordination under shared constraints
Study how role identity, governed memory, and explicit authority interact when agents coordinate. Organizational labels alone do not establish better outcomes.
Fair comparisons
Compare multi-agent organization with equally resourced single-agent systems. Measure task utility, recovery, evidence quality, and coordination costs.
Chronology & work.
This area connects published cloud-computing research with proposed studies of coordinated AI systems. The supplied record does not establish a completed federated-learning benchmark.
2014
Published review
A Review of CUDA, MapReduce, and Pthreads Parallel Computing Models
A comparative review of parallel-computing approaches.
Contribution & source
Coauthored work on the technical foundations of distributed computation.
IJISET 1(8), 208–217 / arXiv
Read the original source 2014
Peer-reviewed conference paper
Cloud-scale genomic classification analysis
Cloud-scale classification for gene-expression microarray data.
Contribution & source
Coauthored research connecting scalable computation with biomedical data analysis.
IEEE EMBC
Read the original source 2017 · online 2015
Peer-reviewed journal article
Cloud-scale cancer genomic analysis
Scalable computing for large-scale cancer genomic microarray analysis.
Contribution & source
Research on robust processing of biomedical data at scale.
IEEE JBHI
Read the original source 12–21 September 2026
Research proposals
Collective organization and governed agent systems
Current work on continuity, coordination, and bounded feedback.
Contribution & source
Connects the civilizational-governance framing with proposed controlled comparisons of multi-agent organization.
G04 and R01–R02
Link to this research summary The evaluation agenda.
Hold resources constant
Use the same total inference allowance, tools, evidence, and analyst time.
Observe coordination
Distinguish actual handoffs and independently observed effects from model-generated descriptions.
Study the boundary
Define data locality and participant authority before extending the program to federated settings.
Sources & collaboration.
This public research profile was prepared from my research portfolio and source register dated September 21, 2026, together with the linked publication records. Dates shown as source-record dates identify the available version; undated work remains undated.
Let’s define the next question.
Research collaborations across national security, civilian institutions, and human health.
Discuss the research