About

Dr. Muhammad Armoghan Khan is working as Lecturer in the Military College of Signals . Dr. Muhammad Armoghan Khan has a PhD in their field . Dr. Muhammad Armoghan Khan has published 3 research articles & conference papers having a citation count of 137 , carried out 0 projects and filed 0 intellectual property.

Research Tags

Energy Management power system optimyzation Machine Learning Renewable energy

Research Projects

0

Industry Projects

0

Amount Granted

0.0 M

Publications

3

Citations

137

Intellectual Property

0
Publication Types
Project Types
Publications by Year
Projects by Year

Education

MS (Electric Power System) 2012- 2014
North China Electric Power University , China
BE Be (Electrical Engg) 2008- 2012
NUST, Islamabad , Pakistan

Experience

Lecturer 2024- Present
Military College of Signals , NUST
Lecturer 2022- 2024
Military College of Signals , NUST
Lecturer 2014- 2022
Pakistan Navy Engineering College , NUST

Awards

Memberships

No project records found for this faculty member
3
Research Articles
0
Conference Proceedings
0
Books
0
Book Chapters
0
Editorial Activities
Determination of Optimal Parametric Distribution and Technical Evaluation of Wind Resource Characteristics for Wind Power Potential at Jhimpir, Pakistan 2021
YA
Yao Zhang (Xi’an Jiaotong University)
JI
Jianxue Wang (Xi’an Jiaotong University)
JI
Jingdong Wei (Xi’an Jiaotong University)
AI
Aitizaz Ahmad (North China Electric Power University)
MU
Muhammad Ali Raza (COMSATS University Islamabad)
Journal: IEEE Access, Volume 9, Pages 70118 -70141
Impact Factor: 3.367 Citations: 17 Quartile: 2
SDG 7 SDG 9 SDG 12
Multi-period planning of multi-energy microgrid with multi-type uncertainties using chance constrained information gap decision method 2020
JI
Jingdong Wei (Xi’an Jiaotong University)
YA
Yao Zhang (Xi’an Jiaotong University)
JI
Jianxue Wang (Xi’an Jiaotong University)
XI
Xiaoyu Cao (Xi’an Jiaotong University)
Journal: Applied Energy, Volume 260, Article Number 114188
Impact Factor: 9.746 Citations: 107 Quartile: 1
SDG 7 SDG 11
An Adaptive Approach for Multi-National Vehicle License Plate Recognition Using Multi-Level Deep Features and Foreground Polarity Detection Model 2020
MU
Muhammad Ali Raza (Xi'an Jiaotong University)
CH
Chunqi (Xi'an Jiaotong University)
MU
Muhammad Rizwan Asif ( Aarhus University)
Journal: Applied Sciences-Basel, Volume 10(6), Article Number 2165
Impact Factor: 2.679 Citations: 13 Quartile: 2
SDG 11
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0
Total Supervisions
0
PhD Supervisions
0
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