Projects per year
Fingerprint Dive into the research topics where Camden 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
Health
Medicine & Life Sciences
Research
Medicine & Life Sciences
Module
Mathematics
Depression
Medicine & Life Sciences
Vertex of a graph
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Projects 2004 2020
Career: Composition, Mechanical Properties, And Synthesis Of The Caulobacter Crescentus Stalk
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
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
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
Press/Media
Priest on CNN: I warned Church officials about McCarrick’s abuse, but was ignored
9/5/18
1 item of Media coverage
Press/Media: Press / Media
Welcome to new commander with deep roots at Fort Riley
6/7/18
1 item of Media coverage
Press/Media: Press / Media
St. Mary’s to honor Rev. Edwin Leahy and John J. Tegan Jr. ’59
4/5/18
1 item of Media coverage
Press/Media: Press / Media