Bahram Ravani

Bahram Ravani

University of California, Davis

H-index: 45

North America-United States

About Bahram Ravani

Bahram Ravani, With an exceptional h-index of 45 and a recent h-index of 21 (since 2020), a distinguished researcher at University of California, Davis, specializes in the field of Design, Robotics, Computational Geometry, Highway Safety, Impact Biomechanics.

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

Thermomechanical fatigue life simulation using the phase field method

Explainable generative design in manufacturing for reinforcement learning based factory layout planning

Transferable multi-objective factory layout planning using simulation-based deep reinforcement learning

Sub-second prediction of the heatmap of powder-beds in additive manufacturing using deep encoder–decoder convolutional neural networks

Framework to Improve the Energy Performance During Design for Additive Manufacturing

A simulation-based factory layout planning approach using reinforcement learning

A Holistic Framework for Factory Planning Using Reinforcement Learning

Modeling and Implementation of a 5G-Enabled Digital Twin of a Machine Tool Based on Physics Simulation

Bahram Ravani Information

University

Position

Professor of Engineering

Citations(all)

6969

Citations(since 2020)

1524

Cited By

5932

hIndex(all)

45

hIndex(since 2020)

21

i10Index(all)

114

i10Index(since 2020)

44

Email

University Profile Page

University of California, Davis

Google Scholar

View Google Scholar Profile

Bahram Ravani Skills & Research Interests

Design

Robotics

Computational Geometry

Highway Safety

Impact Biomechanics

Top articles of Bahram Ravani

Title

Journal

Author(s)

Publication Date

Thermomechanical fatigue life simulation using the phase field method

Computational Materials Science

Sikang Yan

Ralf Müller

Bahram Ravani

2024/2/15

Explainable generative design in manufacturing for reinforcement learning based factory layout planning

Journal of Manufacturing Systems

Matthias Klar

Patrick Ruediger-Flore

Maik Schuermann

Goren Tobias Gören

Moritz Glatt

...

2024/2/1

Transferable multi-objective factory layout planning using simulation-based deep reinforcement learning

Journal of Manufacturing Systems

Matthias Klar

Philipp Schworm

Xiangqian Wu

Peter Simon

Moritz Glatt

...

2024/6/1

Sub-second prediction of the heatmap of powder-beds in additive manufacturing using deep encoder–decoder convolutional neural networks

Journal of Computing and Information Science in Engineering

Ardalan R Sofi

Bahram Ravani

2023/4/1

Framework to Improve the Energy Performance During Design for Additive Manufacturing

L Yi

X Wu

M Glatt

B Ravani

JC Aurich

2023/6/19

A simulation-based factory layout planning approach using reinforcement learning

Procedia CIRP

Matthias Klar

Moritz Glatt

Bahram Ravani

Jan C Aurich

2023/1/1

A Holistic Framework for Factory Planning Using Reinforcement Learning

M Klar

J Mertes

M Glatt

B Ravani

JC Aurich

2023/6/19

Modeling and Implementation of a 5G-Enabled Digital Twin of a Machine Tool Based on Physics Simulation

J Mertes

M Glatt

L Yi

M Klar

B Ravani

...

2023/6/19

Motion Synthesis: From the Classical Work of Reuleaux to the More Modern Robot Motion Planning

Bahram Ravani

2023/12/15

Phase Field Simulations for Fatigue Failure Prediction in Manufacturing Processes

S Yan

R Müller

B Ravani

2023/6/19

Move’n’Hold: Scalable Device-Based Interaction for Mixed Reality Handheld Displays

Vera Marie Memmesheimer

Kai Jonas Klingshirn

Bahram Ravani

Achim Ebert

2023/9/19

Multi objective factory layout planning using simulation-based reinforcement learning

Matthias Klar

Philipp Schworm

Xiangqian Wu

Moritz Glatt

Bahram Ravani

...

2023/4/4

A Connected Vehicle System with High-Availability and Low-Bandwidth Requirement for First Responders

Journal of Transportation Engineering, Part A: Systems

Ty A Lasky

Kin S Yen

Stephen M Donecker

Bahram Ravani

2023/9/1

Multi-scale modeling for multi-track multi-layer laser powder bed fusion additive manufacturing: a material dependent meltpools, micro-void defects and mechanics study

Chinnapat and Ravani, Bahram, Multi-Scale Modeling for Multi-Track Multi-Layer Laser Powder Bed Fusion Additive Manufacturing: A Material Dependent Meltpools, Micro-Void Defects and Mechanics Study

Raeita Mehraban Teymouri

Chinnapat Panwisawas

Bahram Ravani

2022

A Methodology to Identify Cross-Functional Synergies of CIM Knowledge within a Transportation Agency

Alireza Shams

Sean Donohoe

Bahram Ravani

2022

Journal of Computing and Information Science in Engineering

Journal of Computing and Information Science in Engineering

Yan Wang

Gaurav Ameta

Stephen Baek

Linkan Bian

Matthew I Campbell

...

2022/12

Simulating Fatigue Crack Growth including Thermal Effects Using the Phase Field Method

Authorea Preprints

Sikang Yan

Ralf Müller

Bahram Ravani

2022/11/3

Energy performance-oriented design candidate selection approach for additive manufacturing using toolpath length comparison method

Manufacturing Letters

Li Yi

Bahram Ravani

Jan C Aurich

2022/8/1

TECHNICAL REPORT DOCUMENTATION PAGE

Yijun Liao

2020/3

Determination of Aggregate Elastic Properties of Powder-Beds in Additive Manufacturing Using Convolutional Neural Networks

Ardalan R Sofi

Bahram Ravani

2021

See List of Professors in Bahram Ravani University(University of California, Davis)