David Fernando Munoz

David Fernando Munoz

Instituto Tecnológico Autonómo de México

H-index: 15

Latin America-Mexico

About David Fernando Munoz

David Fernando Munoz, With an exceptional h-index of 15 and a recent h-index of 12 (since 2020), a distinguished researcher at Instituto Tecnológico Autonómo de México, specializes in the field of Operations Research, Simulation, Modeling, Optimization.

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

Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models

Nonlinear Interactions of Sea‐Level Rise and Storm Tide Alter Extreme Coastal Water Levels: How and Why?

Modeling and analysis of sediment trapping efficiency of large dams using remote sensing

OS52B-0512: Physics-informed Machine Learning for Estimation of Spatially-distributed Sea Level Rise Rates and their Associated High Tide Flooding

Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin

Fast flood extent monitoring with SAR change detection using Google earth engine

Simulation and Analysis of Line 1 of Mexico City’s Metrobus: Evaluating System Performance through Passenger Satisfaction

Initial transient deletion rules for steady-state simulation

David Fernando Munoz Information

University

Position

Professor of Industrial & Operations Engineering

Citations(all)

1784

Citations(since 2020)

796

Cited By

1241

hIndex(all)

15

hIndex(since 2020)

12

i10Index(all)

24

i10Index(since 2020)

13

Email

University Profile Page

Instituto Tecnológico Autonómo de México

Google Scholar

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David Fernando Munoz Skills & Research Interests

Operations Research

Simulation

Modeling

Optimization

Top articles of David Fernando Munoz

Title

Journal

Author(s)

Publication Date

Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models

Hydrology and Earth System Sciences Discussions

David F Muñoz

Hamed Moftakhari

Hamid Moradkhani

2024/1/30

Nonlinear Interactions of Sea‐Level Rise and Storm Tide Alter Extreme Coastal Water Levels: How and Why?

AGU Advances

H Moftakhari

DF Muñoz

A Akbari Asanjan

A AghaKouchak

Hamid Moradkhani

...

2024/4

Modeling and analysis of sediment trapping efficiency of large dams using remote sensing

AGU Fall Meeting Abstracts

Nishani Poorna Moragoda

Sagy Cohen

John Gardner

David F Muñoz

Anuska Narayanan

...

2022/12

OS52B-0512: Physics-informed Machine Learning for Estimation of Spatially-distributed Sea Level Rise Rates and their Associated High Tide Flooding

Authorea Preprints

Sadaf Mahmoudi

David F Muñoz

Hamed Moftakhari

Hamid Moradkhani

2023/2/15

Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin

Frontiers in Water

Maria Jose Merizalde

Paul Muñoz

Gerald Corzo

David F Muñoz

Esteban Samaniego

...

2023/9/25

Fast flood extent monitoring with SAR change detection using Google earth engine

IEEE Transactions on Geoscience and Remote Sensing

Ebrahim Hamidi

Brad G Peter

David F Muñoz

Hamed Moftakhari

Hamid Moradkhani

2023/1/25

Simulation and Analysis of Line 1 of Mexico City’s Metrobus: Evaluating System Performance through Passenger Satisfaction

AppliedMath

Jose Pablo Rodriguez

David F Muñoz

2023/9/8

Initial transient deletion rules for steady-state simulation

AIP Conference Proceedings

David F Muñoz

2023/9/1

Estimation of Expectations and Variance Components in Two-Level Nested Simulation Experiments

AppliedMath

David Fernando Muñoz

2023/8/7

Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting

Peyman Abbaszadeh

David F Munoz

Hamed Moftakhari

Keighobad Jafarzadegan

Hamid Moradkhani

2022/10/21

Physics-informed Machine Learning for Estimation of Spatially-distributed Sea Level Rise Rates and their Associated High Tide Flooding

AGU Fall Meeting Abstracts

Sadaf Mahmoudi

David F Muñoz

Hamed Moftakhari

Hamid Moradkhani

2022/12

Inter‐model comparison of Delft3D‐FM and 2D HEC‐RAS for total water level prediction in coastal to inland transition zones

JAWRA Journal of the American Water Resources Association

David F Muñoz

Dongxiao Yin

Roham Bakhtyar

Hamed Moftakhari

Zuo Xue

...

2022/2

Simulation models to support the preliminary electoral results program for the Mexican Electoral Institute

Annals of Operations Research

David F Muñoz

Héctor Gardida

Hugo Velázquez

Jorge D Ayala

2022/9

Dynamic Response of Estuarine Systems to Dredging Protocols and Sea Level Rise

AGU Fall Meeting Abstracts

David F Muñoz

Hamed Moftakhari

Mukesh Kumar

Hamid Moradkhani

2022/12

Extreme Water Level Simulation and Component Analysis in Delaware Estuary during Hurricane Isabel

JAWRA Journal of the American Water Resources Association

Dongxiao Yin

David F Muñoz

Roham Bakhtyar

Z George Xue

Hamed Moftakhari

...

2022/2

Current and Future State of the Gulf of Mexico's Food, Energy, and Water Nexus

AGU Fall Meeting Abstracts

Michael Matthew Lewis

Hamed Moftakhari

David F Muñoz

Mesfin Mergia Mekonnen

Hamid Moradkhani

...

2022/12

Compound effects of flood drivers, sea level rise, and dredging protocols on vessel navigability and wetland inundation dynamics

Frontiers in Marine Science

David F Muñoz

Hamed Moftakhari

Mukesh Kumar

Hamid Moradkhani

2022/7/18

Accounting for uncertainties in compound flood hazard assessment: The value of data assimilation

Coastal Engineering

David F Muñoz

Peyman Abbaszadeh

Hamed Moftakhari

Hamid Moradkhani

2022/1/1

Toward A Universal Portrayal of Extreme Events: Hazard, Vulnerability and Risk

AGU Fall Meeting Abstracts

Hamid Moradkhani

Keighobad Jafarzadegan

Peyman Abbaszadeh

Hamed Moftakhari

Atieh Alipour

...

2022/12

Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem

Computational Statistics

David F Muñoz

2022/7/11

See List of Professors in David Fernando Munoz University(Instituto Tecnológico Autonómo de México)