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:

Causal Dynamic Bayesian Networks for Simulation Metamodeling

Modeling and Computer Simulation

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

Database Systems

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

Efficient Hybrid Simulation Optimization via Graph Neural Network Metamodeling

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

Title

Journal

Author(s)

Publication Date

Causal Dynamic Bayesian Networks for Simulation Metamodeling

Pracheta Amaranath

Peter J Haas

David Jensen

Sam Witty

2023/12/10

Modeling and Computer Simulation

ACM Transactions on

G Jacyna

D Frezza

DM Slater

JR Thompson

B Cuneo

...

2024

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

ACM Transactions on Modeling and Computer Simulation

Wang Cen

Peter J Haas

2023/8/10

Database Systems

Computer science (Berlin. Print)

Johann-Christoph FREYTAG

Theo HÄRDER

2009

Exact PPS sampling with bounded sample size

Information Processing Letters

Brian Hentschel

Peter J Haas

Yuanyuan Tian

2023/8/1

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

arXiv preprint arXiv:2307.02860

Anh Mai

Matteo Brucateo

Azza Abouzied

Peter J Haas

Alexandra Meliou

2023/7/6

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

Francisco Castro

Sahitya Raipura

Heather Conboy

Peter Haas

Leon Osterweil

...

2023/3/2

Efficient Hybrid Simulation Optimization via Graph Neural Network Metamodeling

Wang Cen

Peter J Haas

2023/12/10

Navigating Publication Outlets for Simulation Research: Insights from Journal Editors

Tom Berg

Jose Blanchet

Weiwei Chen

Christine SM Currie

Peter J Haas

...

2023

In-Database Decision Support: Opportunities and Challenges

Azza Abouzied

Peter J Haas

Alexandra Meliou

2022/1

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

Sneha Gathani

Zhicheng Liu

Peter J Haas

Çağatay Demiralp

2022/12/27

Enhanced simulation metamodeling via graph and generative neural networks

Wang Cen

Peter J Haas

2022/12/11

Systems and methods for highly parallel processing of parameterized simulations

2022/1/11

Augmenting decision making via interactive what-if analysis

arXiv preprint arXiv:2109.06160

Sneha Gathani

Madelon Hulsebos

James Gale

Peter J Haas

Çağatay Demiralp

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

Daniel Ullman

Elizabeth Phillips

Salomi Aladia

Peter Haas

Halle S Fowler

...

2021/6

SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents

New Frontiers in Summarization workshop (at EMNLP 2021)

Nishant Yadav

Matteo Brucato

Anna Fariha

Oscar Youngquist

Julian Killingback

...

2021/1

Stochastic package queries in probabilistic databases

Matteo Brucato

Nishant Yadav

Azza Abouzied

Peter J Haas

Alexandra Meliou

2020/6/11

A general methodology for teaching norms to social robots

Bertram F Malle

Eric Rosen

Vivienne B Chi

Matthew Berg

Peter Haas

2020

Analysis and determination of relative consistency of identified relationships

2020/4/16

sPaQLTooLs: a stochastic package query interface for scalable constrained optimization

Proceedings of the VLDB Endowment

Matteo Brucato

Miro Mannino

Azza Abouzied

Peter J Haas

Alexandra Meliou

2020/8

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

Co-Authors

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