Masood Jafari Kang

Masood Jafari Kang

Lamar University

H-index: 6

North America-United States

About Masood Jafari Kang

Masood Jafari Kang, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Lamar University, specializes in the field of Industrial Engineering.

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

Automatic Identification System-Based Prediction of Tanker and Cargo Estimated Time of Arrival in Narrow Waterways

Deep Learning Applications in Vessel Dead Reckoning to Deal with Missing Automatic Identification System Data

An AIS-Based approach for measuring waterway resiliency: a case study of Houston ship channel

A Heuristic ETL Process to Dynamically Separate and Compress AIS Data

Study of narrow waterways congestion based on automatic identification system (AIS) data: A case study of Houston Ship Channel

Study on U-turn behavior of vessels in narrow waterways based on AIS data

Application of Deep Learning Methods in Waterways Traffic Prediction

A Soft Optimization Model to Solve Space Allocation Problems in Breakbulk Terminals

Masood Jafari Kang Information

University

Position

D.E. Student

Citations(all)

157

Citations(since 2020)

154

Cited By

42

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Masood Jafari Kang Skills & Research Interests

Industrial Engineering

Top articles of Masood Jafari Kang

Automatic Identification System-Based Prediction of Tanker and Cargo Estimated Time of Arrival in Narrow Waterways

Journal of Marine Science and Engineering

2024/1/25

Masood Jafari Kang
Masood Jafari Kang

H-Index: 4

Deep Learning Applications in Vessel Dead Reckoning to Deal with Missing Automatic Identification System Data

Journal of Marine Science and Engineering

2024/1/12

Masood Jafari Kang
Masood Jafari Kang

H-Index: 4

An AIS-Based approach for measuring waterway resiliency: a case study of Houston ship channel

Maritime Policy & Management

2023/8/18

A Heuristic ETL Process to Dynamically Separate and Compress AIS Data

2023/4/27

Masood Jafari Kang
Masood Jafari Kang

H-Index: 4

Study of narrow waterways congestion based on automatic identification system (AIS) data: A case study of Houston Ship Channel

Journal of Ocean Engineering and Science

2022/12/1

Masood Jafari Kang
Masood Jafari Kang

H-Index: 4

Sepideh Zohoori
Sepideh Zohoori

H-Index: 0

Xing Wu
Xing Wu

H-Index: 9

Study on U-turn behavior of vessels in narrow waterways based on AIS data

Ocean Engineering

2022/2/15

Masood Jafari Kang
Masood Jafari Kang

H-Index: 4

Xing Wu
Xing Wu

H-Index: 9

Application of Deep Learning Methods in Waterways Traffic Prediction

2022

Masood Jafari Kang
Masood Jafari Kang

H-Index: 4

Pooyan Mobtahej
Pooyan Mobtahej

H-Index: 1

A Soft Optimization Model to Solve Space Allocation Problems in Breakbulk Terminals

COMPUTATIONAL RESEARCH PROGRESS IN APPLIED SCIENCE & ENGINEERING (CRPASE)

2021/12/26

Masood Jafari Kang
Masood Jafari Kang

H-Index: 4

Pooyan Mobtahej
Pooyan Mobtahej

H-Index: 1

A VECTORIZED ALGORITHM FOR WATERWAY TRAFFIC ANALYSIS USING AIS DATA.

Journal of Ocean Technology

2021/10/1

Sepideh Zohoori
Sepideh Zohoori

H-Index: 0

Masood Jafari Kang
Masood Jafari Kang

H-Index: 4

A procedure for public transit OD matrix generation using smart card transaction data

Public Transport

2021

Masood Jafari Kang
Masood Jafari Kang

H-Index: 4

Shervin Ataeian
Shervin Ataeian

H-Index: 1

Quantifying and Predicting Waterway Traffic Conditions: A Case Study of Houston Ship Channel

2021

Masood Jafari Kang
Masood Jafari Kang

H-Index: 4

Using Automatic Identification System (AIS) Data to Quantify Narrow Waterways Congestion: A Case Study of Houston Ship Channel

2021

Masood Jafari Kang
Masood Jafari Kang

H-Index: 4

Sepideh Zohoori
Sepideh Zohoori

H-Index: 0

See List of Professors in Masood Jafari Kang University(Lamar University)

Co-Authors

academic-engine