Peter J. Haas

University of Massachusetts Amherst — United States

Physics and Astronomy · Physical Sciences

57h-index15.4kcitations394works0.62yr avg
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Research Topics

Particle physics theoretical and experimental studies(99), Quantum Chromodynamics and Particle Interactions(84), Advanced Database Systems and Queries(73), Data Management and Algorithms(63), High-Energy Particle Collisions Research(51)

Publications387 total

<i>Stochastic SketchRefine</i> : Scaling In-Database Decision-Making under Uncertainty to Millions of Tuples
Proceedings of the VLDB Endowment·2025
What-if Analysis for Business Professionals: Current Practices and Future Opportunities
2025Open Access
Spectroscopy of Strange Mesons and First Observation of a Strange Crypto-Exotic State with $J^P=0^-$
arXiv (Cornell University)·2025Open Access
Embedding Ethical Awareness in Computer Science and AI Education: The PEaRCE Approach to Responsible Computing
Lecture notes in computer science·2025
Measurement of the hard exclusive $π^{0}$ muoproduction cross section at COMPASS
arXiv (Cornell University)·2024Open Access
Tutorial: Artificial Neural Networks for Discrete-Event Simulation
2024· 3 cited
Stochastic SketchRefine: Scaling In-Database Decision-Making under Uncertainty to Millions of Tuples
arXiv (Cornell University)·2024Open Access
Multiplicities of positive and negative pions, kaons and unidentified hadrons from deep-inelastic scattering of muons off a liquid hydrogen target
arXiv (Cornell University)·2024Open Access
Visualizing Study Profiles Using the GMDS Competency Catalog for Medical Informatics Programs
Studies in health technology and informatics·2024Open Access
Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization
Proceedings of the VLDB Endowment·2024· 3 cited
Efficient Hybrid Simulation Optimization via Graph Neural Network Metamodeling
2023· 3 cited
Causal Dynamic Bayesian Networks for Simulation Metamodeling
2023
Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization
arXiv (Cornell University)·2023· 2 citedOpen Access
NIM: Generative Neural Networks for Automated Modeling and Generation of Simulation Inputs
ACM Transactions on Modeling and Computer Simulation·2023· 4 cited
Piloting an Interactive Ethics and Responsible Computing Learning Environment in Undergraduate CS Courses
2023· 15 citedOpen Access
Exact PPS sampling with bounded sample size
Information Processing Letters·2023· 2 cited
Navigating Publication Outlets for Simulation Research: Insights from Journal Editors
SPIRE - Sciences Po Institutional REpository·2023Open Access
What-if Analysis for Business Professionals: Current Practices and Future Opportunities
arXiv (Cornell University)·2022· 1 citedOpen Access
Enhanced Simulation Metamodeling via Graph and Generative Neural Networks
2022 Winter Simulation Conference (WSC)·2022· 11 cited
Integrated, cross-sectoral psycho-oncology (isPO): a new form of care for newly diagnosed cancer patients in Germany
BMC Health Services Research·2022· 43 citedOpen Access
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Frequent Co-authors

M. Hempstead(7), T. Jensen(7), F. Morrow(7), T. Ferguson(7), M. S. Alam(7), M. Goldberg(7), N. Horwitz(7), M. D. Mestayer(7), C. Bebek(7), K. Berkelman(7), J. W. DeWire(7), R. Ehrlich(7), R. S. Galik(7), B. Gittelman(7), J. Kandaswamy(7), N. B. Mistry(7), R. Namjoshi(7), E. Nordberg(7), D. Peterson(7), A. Silverman(7)