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Michael E. Kuhl

Researcher at Rochester Institute of Technology

Publications -  83
Citations -  1184

Michael E. Kuhl is an academic researcher from Rochester Institute of Technology. The author has contributed to research in topics: Poisson distribution & Polynomial. The author has an hindex of 18, co-authored 81 publications receiving 1099 citations. Previous affiliations of Michael E. Kuhl include North Carolina State University & Louisiana State University.

Papers
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Proceedings ArticleDOI

Cyber attack modeling and simulation for network security analysis

TL;DR: A simulation modeling approach is presented to represent computer networks and intrusion detection systems (IDS) to efficiently simulate cyber attack scenarios and is designed to test information fusion systems for cyber security that are under development.
Proceedings ArticleDOI

The use of simulation to determine maximum capacity in the surgical suite operating room

TL;DR: A general methodology for determining the maximum capacity within a surgical suite through the use of a discrete-event simulation model is presented, based on an actual hospital concerned with doctor/resource acquisition decisions, patient satisfaction improvements, and increased productivity.
Journal ArticleDOI

High level information fusion for tracking and projection of multistage cyber attacks

TL;DR: A novel cyber fusion system is proposed to address specifically the tracking and projection of multistage attacks to provide situation awareness and threat prediction from massive volumes of sensed data.
Journal ArticleDOI

Estimating and simulating Poisson processes having trends or multiple periodicities

TL;DR: In this paper, the authors developed and evaluated procedures for estimating and simulating nonhomogeneous Poisson processes having an exponential rate function, where the exponent may include a polynomial component or some trigonometric components or both.
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A simulation study of new multi-objective composite dispatching rules, CONWIP, and push lot release in semiconductor fabrication

TL;DR: In this paper, the authors evaluate dispatching rules and order release policies in two wafer fabrication facilities representing ASIC (application specific integrated circuit) and low-mix high-volume production.