Peter J Haas

Peter J Haas

University of Massachusetts Amherst

H-index: 50

North America-United States

About Peter J Haas

Peter J Haas, With an exceptional h-index of 50 and a recent h-index of 27 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Comper Science, Operations Research.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient Hybrid Simulation Optimization via Graph Neural Network Metamodeling

Causal Dynamic Bayesian Networks for Simulation Metamodeling

NIM: Generative Neural Networks for Automated Modeling and Generation of Simulation Inputs

Exact PPS sampling with bounded sample size

Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization

Piloting an Interactive Ethics and Responsible Computing Learning Environment in Undergraduate CS Courses

Navigating Publication Outlets for Simulation Research: Insights from Journal Editors

Modeling and Computer Simulation

Peter J Haas Information

University

Position

College of Information and Computer Sciences

Citations(all)

13786

Citations(since 2020)

3631

Cited By

11875

hIndex(all)

50

hIndex(since 2020)

27

i10Index(all)

141

i10Index(since 2020)

72

Email

University Profile Page

Google Scholar

Peter J Haas Skills & Research Interests

Comper Science

Operations Research

Top articles of Peter J Haas

Efficient Hybrid Simulation Optimization via Graph Neural Network Metamodeling

2023/12/10

Peter J Haas
Peter J Haas

H-Index: 29

Causal Dynamic Bayesian Networks for Simulation Metamodeling

2023/12/10

NIM: Generative Neural Networks for Automated Modeling and Generation of Simulation Inputs

ACM Transactions on Modeling and Computer Simulation

2023/8/10

Peter J Haas
Peter J Haas

H-Index: 29

Exact PPS sampling with bounded sample size

Information Processing Letters

2023/8/1

Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization

arXiv preprint arXiv:2307.02860

2023/7/6

Piloting an Interactive Ethics and Responsible Computing Learning Environment in Undergraduate CS Courses

2023/3/2

Navigating Publication Outlets for Simulation Research: Insights from Journal Editors

2023

Modeling and Computer Simulation

ACM Transactions on

2024

Database Systems

Computer science (Berlin. Print)

2009

Understanding Business Users' Data-Driven Decision-Making: Practices, Challenges, and Opportunities

2022/12/27

Enhanced simulation metamodeling via graph and generative neural networks

2022/12/11

Peter J Haas
Peter J Haas

H-Index: 29

Systems and methods for highly parallel processing of parameterized simulations

2022/1/11

In-Database Decision Support: Opportunities and Challenges

2022/1

Augmenting decision making via interactive what-if analysis

arXiv preprint arXiv:2109.06160

2021/9/13

Evaluating psychosocial support provided by an augmented reality device for children with Type 1 diabetes

Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care

2021/6

SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents

New Frontiers in Summarization workshop (at EMNLP 2021)

2021/1

Nim: modeling and generation of simulation inputs via generative neural networks

2020/12/14

Peter J Haas
Peter J Haas

H-Index: 29

Introduction to the special issue for towards an ecosystem of simulation models and data

2020/11/23

Peter J Haas
Peter J Haas

H-Index: 29

A general methodology for teaching norms to social robots

2020

sPaQLTooLs: a stochastic package query interface for scalable constrained optimization

Proceedings of the VLDB Endowment

2020/8

See List of Professors in Peter J Haas University(University of Massachusetts Amherst)

Co-Authors

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