Camden College of Arts and Sciences

Fingerprint Dive into the research topics where Camden College of Arts and Sciences is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Approximation algorithms Engineering & Materials Science
Vertex Algebra Mathematics
Approximation Algorithms Mathematics
Module Mathematics
Vertex Operator Algebras Mathematics
Minimal Immersion Mathematics
Vertex of a graph Mathematics
Costs Engineering & Materials Science

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Profiles

No photo of Andrew Abeyta

Andrew Abeyta

Person

20142019
No photo of Craig Agule

Craig Agule

Person

20092019
No photo of Sarah Allred

Sarah Allred

Person

20032016

Projects 2004 2020

Career: Composition, Mechanical Properties, And Synthesis Of The Caulobacter Crescentus Stalk

Klein, E.

National Science Foundation (NSF)

1/15/16 → 12/31/20

Project: Research project

Caulobacter crescentus
mechanical properties
peptidoglycans
synthesis
appendages

Area: Mechanisms Underlying Epithelial Cells’ Patterning And Morphogenesis

Yakoby, N.

National Institutes of Health (NIH)

8/1/13 → 8/31/20

Project: Research project

Egg Shell
Morphogenesis
Epithelial Cells
Drosophila
Epidermal Growth Factor Receptor

Reu Site: Computational Biology Summer Research Experience At Rutgers - Camden

Piccoli, B.

National Science Foundation (NSF)

5/1/16 → 4/30/19

Project: Research project

biology
experience
student
science
mathematics

Research Output 1972 2020

Generalized dynamic programming principle and sparse mean-field control problems

Cavagnari, G., Marigonda, A. & Piccoli, B., Jan 1 2020, In : Journal of Mathematical Analysis and Applications. 481, 1, 123437.

Research output: Contribution to journal › Article

Dynamic Programming Principle
Dynamic programming
Mean Field
Control Problem
Optimal Trajectory

Adolescent Homelessness and Associated Features: Prevalence and Risk Across Eight States

Cutuli, J., Treglia, D. & Herbers, J. E., Jan 1 2019, In : Child Psychiatry and Human Development.

Research output: Contribution to journal › Article

Homeless Persons
Students
Sexual Minorities
Bullying
Sex Offenses
2 Citations (Scopus)

Advancing Computational Toxicology in the Big Data Era by Artificial Intelligence: Data-Driven and Mechanism-Driven Modeling for Chemical Toxicity

Ciallella, H. L. & Zhu, H., Apr 15 2019, In : Chemical Research in Toxicology. 32, 4, p. 536-547 12 p.

Research output: Contribution to journal › Article

Artificial Intelligence
Chemical Safety
Toxicology
Artificial intelligence
Toxicity