Manuel D. Rossetti Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

University Professor

University of Arkansas at Fayetteville

faculty

21 h-index 135 pubs 1,611 cited

Research Areas

Simulation-Based Education in Healthcare Online and Blended Learning Engineering Education and Pedagogy Software Engineering Research Computer Graphics and Visualization Techniques Decision-Making and Behavioral Economics

Links

ORCID Lab Website

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OverviewAI-generated summary

Manuel D. Rossetti's research interests include the development and application of simulation libraries and the creation of interdisciplinary educational programs. He has focused on creating tools like the Kotlin Simulation Library (KSL) to enable advanced exploration of simulation model design spaces, particularly within serverless computing environments. His work also extends to automating aspects of input distribution fitting for these simulations, enhancing their accuracy and efficiency.

Beyond simulation, Rossetti has contributed to educational program development. He was involved in creating a multi-college interdisciplinary Bachelor of Science program in Data Science, which includes various concentrations to cater to diverse student interests and career paths. His scholarship metrics indicate a significant body of work, with an h-index of 21, 135 total publications, and 1,611 total citations, designating him as a highly cited researcher. He has collaborated with researchers such as Edward Pohl, Ronna Turner, and Wen‐Juo Lo at the University of Arkansas at Fayetteville.

Metrics

h-index: 21
Publications: 135
Citations: 1,611

Selected Publications

A Tutorial on Resource Modeling Using the Kotlin Simulation Library (2025) DOI
Input Distribution Modeling Using the Kotlin Simulation Library (2024) DOI
An Introductory Tutorial for the Kotlin Simulation Library (2024) DOI
A multicriteria model for assessing item importance and risk using operational data from military supply chains (2024) DOI
Enabling massively parallel, ad hoc exploration of the design space for simulation models within a serverless environment (2024) DOI
An Overview of the Multi-Disciplinary Data Science (MDaS) S-STEM Scholarship Program (2024) DOI
Introducing the Kotlin Simulation Library (KSL) (2023) DOI
Creating a Multi-College Interdisciplinary B.S. Data Science Program with Concentrations (2021) DOI
Measuring the Impact of Data Standards in an Internal Hospital Supply System (2021) DOI
Introducing the Multi-Disciplinary Data Science (MDaS) S-STEM Scholarship Program (2021) DOI