Meghanathan, Natarajan

Professor

Jackson State University

Affiliations

College of Science, Engineering, and Technology

Electrical and Computer Engineering & Computer Science

Meghanathan, Natarajan is currently serving as a College Of Science, Engineering, And Technology Professor at Jackson State University.

Honors

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Experiences

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Education

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Meghanathan, Natarajan

Jackson State University

Professor

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network analysis computer science network science systems engineering ad hoc networks graph theory data science telecommunication networks wireless communications wireless networks networked system design routing protocols applied mathematics wireless sensor networks communications systems mobile computing network routing algorithm network theory network routing information technology distributed systems information science combinatorial optimization graph analysis wireless routing communication security multicast multi-hop routing probabilistic graph theory network complexity cognitive radio machine learning computational optimization network algorithms energy-efficient networking data security swarm intelligence scientific computing mathematical optimization software security network security community structure complex network analysis machine learning research centrality metrics intelligent computing secure routing path planning extremal graph theory hop count real-world network graphs smart grid network convergence network planning network dynamics graph matching complex network graphs maximal clique size real-world networks energy monitoring advanced networking data dissemination correlation analysis benchmarking algorithm scalable routing network simulation advanced computing location prediction node degree information theory cognitive radio networks energy data assortativity analysis correlation coefficient analysis network connectivity comprehensive review global networks big data network models natural computing cloud computing architecture internet of things cloud computing information security cyber security engineering computational intelligence quantitative biology cluster computing cyber conflict secure by design industrial informatics data mining wireless sensor systems biological computation pattern recognition sensors sensor connectivity computational biology theoretical biology biosystems learning classifier system computer security service computing security studies software engineering cloud continuum intelligent classification scalability computer security model biological computing system safety cybersecurity systems social simulation

Notable Scholarly Works

Notable Federal Grants

Collaborators

"a Hybrid Approach for Urban Crime Analysis Combining Machine Learning and Network Science". (2026)

network scienceexperimental criminologycrime analysisdata science

"Nodebetweennessbased Principal Component Model for Coreperiphery Structural Analysis of Complex Networks". (2026)

global networksnetwork analysishigh-dimensional networkdata science

"Betweennessbased Ranking of Edges Using the Principal Components of the Complements of Local Clustering Coefficient and Neighborhood Overlap". (2025)

global networksclusteringmetric graph theorydata sciencenetwork analysis

"Beyond Accuracy a Resourcecentric Analysis of Machine Learning Approaches for Ddos Detection". (2025)

computer scienceddos detectionknowledge discoverybotnet detectiondenial-of-service attacksdata privacyinformation securityinformation forensicsmachine learning researchcomputational intelligencedata sciencemachine learning

"Coreperiphery Analysis Using Principal Components of the Neighborhoodbased Bridge Node Centrality Tuple". (2025)

global networksnetwork sciencenetwork topologydata sciencenetwork analysis

"Predictive Modeling of Crime Trends Using Timeseries Analysis". (2025)

experimental criminologystatisticscriminologycrime analysisdata sciencecrime forecastingtime series

"Principal Component Analysis of Link Prediction Scores to Propose a Binary Classification Model for the Betweenness of Edges in Complex Networks". (2025)

global networksgraph theorynetwork sciencelink predictiondata sciencenetwork analysis

"Spatiotemporal Analysis of a Crime Dataset Using Principal Component Analysis and Exploratory Factor Analysis". (2025)

spatial analysisspatial databasesexperimental criminologycriminologycrime analysisspatio-temporal modelsdata sciencestatistics

"4 Canonical Correlation Analysis and Exploratory Factor Analysis of the Four Major Centrality Metrics". (2024)

correlationmultivariate analysisbehavioral statisticparallel analysismultidimensional analysisapplied statisticsanalyticsstatistics

Assortativity Analysis of Complex Real-World Networks Using the Principal Components of the Centrality Metrics. International Journal of Data Science (2024)

Natarajan Meghanathan

network analysiscomplex real-world networksprincipal componentsnetwork theorydata scienceassortativity analysisnetwork sciencecentrality metrics

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