Pedro Veloso

Pedro Veloso

Carnegie Mellon University

H-index: 7

North America-United States

About Pedro Veloso

Pedro Veloso, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of computational design, generative systems, space planning, artificial intelligence, reinforcement.

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

A Physics-Based Constraint Solver for the Site Layout Optimization of Non-convex Buildings with Multiple Requirements

Three decades of machine learning with neural networks in computer-aided architectural design (1990–2021)

Spatial synthesis for architectural design as an interactive simulation with multiple agents

Type investigation in the form of high-rise building using deep neural network

Mapping generative models for architectural design

Self-learning Agents for Spatial Synthesis

Pedro Veloso Information

University

Position

___

Citations(all)

196

Citations(since 2020)

164

Cited By

80

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

5

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Pedro Veloso Skills & Research Interests

computational design

generative systems

space planning

artificial intelligence

reinforcement

Top articles of Pedro Veloso

Title

Journal

Author(s)

Publication Date

A Physics-Based Constraint Solver for the Site Layout Optimization of Non-convex Buildings with Multiple Requirements

Jinmo Rhee

Pedro Veloso

2023/7/5

Three decades of machine learning with neural networks in computer-aided architectural design (1990–2021)

Design Science

Jinmo Rhee

Pedro Veloso

Ramesh Krishnamurti

2023/1

Spatial synthesis for architectural design as an interactive simulation with multiple agents

Automation in Construction

Pedro Veloso

Ramesh Krishnamurti

2023/10/1

Type investigation in the form of high-rise building using deep neural network

Jinmo Rhee

Pedro Veloso

2021/7/16

Mapping generative models for architectural design

Pedro Veloso

Ramesh Krishnamurti

2021/5/5

Self-learning Agents for Spatial Synthesis

Pedro Veloso

Ramesh Krishnamurti

2021

See List of Professors in Pedro Veloso University(Carnegie Mellon University)