Mohammad Etemad

Mohammad Etemad

Dalhousie University

H-index: 11

North America-Canada

About Mohammad Etemad

Mohammad Etemad, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Dalhousie University, specializes in the field of Spatial Temporal Data Mining, Trajectory Mining.

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

Charting the Course of Ship Track Prediction: A Novel Approach for Maritime Traffic Analysis and Enhanced Situational Awareness

Spatial clustering method of historical ais data for maritime traffic routes extraction

Vessel Biofouling as a Vector for Nonindigenous Species Introductions in Canada

Spatial clustering model of vessel trajectory to extract sailing routes based on ais data

Understanding evolution of maritime networks from automatic identification system data

Discovering gateway ports in maritime using temporal graph neural network port classification

A Topological Perspective of Port Networks From Three Years (2017-2019) of AIS Data.

Anomaly detection in maritime domain based on spatio-temporal analysis of ais data using graph neural networks

Mohammad Etemad Information

University

Position

___

Citations(all)

379

Citations(since 2020)

364

Cited By

136

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Mohammad Etemad Skills & Research Interests

Spatial Temporal Data Mining

Trajectory Mining

Top articles of Mohammad Etemad

Charting the Course of Ship Track Prediction: A Novel Approach for Maritime Traffic Analysis and Enhanced Situational Awareness

2023/12/15

Mohammad Etemad
Mohammad Etemad

H-Index: 6

Stan Matwin
Stan Matwin

H-Index: 32

Spatial clustering method of historical ais data for maritime traffic routes extraction

2022/12/17

Mohammad Etemad
Mohammad Etemad

H-Index: 6

Stan Matwin
Stan Matwin

H-Index: 32

Vessel Biofouling as a Vector for Nonindigenous Species Introductions in Canada

2022/12

Mohammad Etemad
Mohammad Etemad

H-Index: 6

Spatial clustering model of vessel trajectory to extract sailing routes based on ais data

International Journal of Computer and Systems Engineering

2022/10/17

Mohammad Etemad
Mohammad Etemad

H-Index: 6

Stan Matwin
Stan Matwin

H-Index: 32

Understanding evolution of maritime networks from automatic identification system data

GeoInformatica

2022/7/1

Discovering gateway ports in maritime using temporal graph neural network port classification

2022/4/25

Dogan Altan
Dogan Altan

H-Index: 3

Mohammad Etemad
Mohammad Etemad

H-Index: 6

A Topological Perspective of Port Networks From Three Years (2017-2019) of AIS Data.

2022

Anomaly detection in maritime domain based on spatio-temporal analysis of ais data using graph neural networks

2021/12/18

Mohammad Etemad
Mohammad Etemad

H-Index: 6

Stan Matwin
Stan Matwin

H-Index: 32

Developing an advanced information system to support ballast water management

Management of Biological Invasions

2022/3/1

Destination port detection for vessels: An analytic tool for optimizing port authorities resources

2021/6

Mohammad Etemad
Mohammad Etemad

H-Index: 6

Stan Matwin
Stan Matwin

H-Index: 32

Building navigation networks from multi-vessel trajectory data

GeoInformatica

2021

Novel algorithms for trajectory segmentation based on interpolation-based change detection strategies

2020/10/15

Mohammad Etemad
Mohammad Etemad

H-Index: 6

SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels

GeoInformatica

2021

Uncovering vessel movement patterns from AIS data with graph evolution analysis.

2020

Using deep reinforcement learning methods for autonomous vessels in 2d environments

2020

Wise sliding window segmentation: A classification-aided approach for trajectory segmentation

2020

See List of Professors in Mohammad Etemad University(Dalhousie University)

Co-Authors

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