Shadan Golestan

Shadan Golestan

University of Alberta

H-index: 6

North America-Canada

About Shadan Golestan

Shadan Golestan, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of Bayesian Optimization, Reinforcement Learning, Black-Box Optimization, Artificial Intelligence.

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

Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments

Simulation-based Sensor Configuration Optimization to Detect Human Activities in Smart Indoor Spaces

Smart Indoor Space Simulation Methodologies: A Review

Towards a simulation framework for smart indoor spaces

Shadan Golestan Information

University

Position

PhD Candidate in Computer Science

Citations(all)

160

Citations(since 2020)

114

Cited By

86

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Shadan Golestan Skills & Research Interests

Bayesian Optimization

Reinforcement Learning

Black-Box Optimization

Artificial Intelligence

Top articles of Shadan Golestan

Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Simulation-based Sensor Configuration Optimization to Detect Human Activities in Smart Indoor Spaces

2023

Smart Indoor Space Simulation Methodologies: A Review

2022/3/14

Towards a simulation framework for smart indoor spaces

Sensors

2020/12/12

See List of Professors in Shadan Golestan University(University of Alberta)

Co-Authors

academic-engine