Muhammad Zeshan Akber

Assistant Professor
NUST Institute of Civil Engineering
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About

Dr. Muhammad Zeshan Akber is working as Assistant Professor in the NUST Institute of Civil Engineering . Dr. Muhammad Zeshan Akber has a PhD in Civil Engineer . Dr. Muhammad Zeshan Akber has published 10 research articles & conference papers having a citation count of 259 , carried out 0 projects and filed 0 intellectual property.

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Research Projects

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Industry Projects

0

Amount Granted

0.0 M

Publications

10

Citations

259

Intellectual Property

0
Publication Types
Project Types
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Projects by Year

Research Collaborators

Collaborator Image

Muhammad Jamaluddin Thaheem

NUST Institute of Civil Engineering
1 Collaboration

Education

PhD Civil Engineer 2018- 2022
Hong Kong University of Science and Technology , Hong Kong
MS Construction Engineering and Management 2014- 2017
NUST, Islamabad , Pakistan

Experience

Assistant Professor 2025- Present
NUST Institute of Civil Engineering , NUST
Postdoctoral Fellow 2022- 2025
Centre for Advances in Reliability and Safety , Hong Kong ,
Postgraduate Research Student & Teaching Assistant 2018- 2022
HKUST , Hong Konh ,
Lecturer 2017- 2018
University o Management and Technology , Lahore, Pakistan ,
Field Engineer 2015- 2016
B.L. Harbert International, LLC , Islamabad Pakistan ,
Engr. Project Management 2013- 2014
TC (Pvt) Ltd., Pakistan , Lahore Pakistan ,

Awards

Memberships

No project records found for this faculty member
9
Research Articles
0
Conference Proceedings
0
Books
0
Book Chapters
0
Editorial Activities
TPE-Optimized DNN with Attention Mechanism for Prediction of Tower Crane Payload Moving Conditions 2024
Muhammad Zeshan Akber
WA
Wai-Kit Chan (Hong Kong Science and Technology Parks)
HI
Hiu-Hung Lee (Hong Kong Science and Technology Parks)
GH
Ghazanfar Ali Anwar (Hong Kong Science and Technology Parks)
Journal: Mathematics, Volume:12, Issue:19, Article Number 3006
Impact Factor: 2.200 Citations: 3 Quartile: 1
SDG 9
Sustainability-Oriented Optimization and Decision Making of Community Buildings under Seismic Hazard 2023
G
Ghazanfar Ali Anwar (Center for Advances in Reliability and Safety)
MU
Mudasir Hussain (The Hong Kong Polytechnic University)
Muhammad Zeshan Akber
MU
Mustesin Ali Khan (University of Central Lancashire)
AA
Aatif Ali Khan (University of Canterbury Christchurch)
Journal: Sustainability, Volume:15, Issue:5, Article Number 4385
Impact Factor: 3.300 Citations: 12 Quartile: 2
SDG 11
Predicting the slump of industrially produced concrete using machine learning: A multiclass classification approach 2022
XU
Xueqing Zhang (Hong Kong University of Science and Technology (HKUST)
Muhammad Zeshan Akber
WE
Wei Zheng (Orientfunds Precast Ltd)
Journal: Journal of Building Engineering, Volume:58, Article Number 104997
Impact Factor: 6.400 Citations: 44 Quartile: 1
SDG 9
Multi-agent deep reinforcement learning for resilience optimization of building structures considering utility interactions for functionality 2025
Muhammad Zeshan Akber
GH
Ghazanfar Ali Anwar (Marquette University)
Journal: Computers and Structures, Volume 310, Article Number 107703
Impact Factor: 4.400 Citations: 0 Quartile: 1
SDG 9
TPE-xgboost for explainable predictions of concrete compressive strength considering compositions, and mechanical and microstructure properties of testing samples 2024
Muhammad Zeshan Akber
GH
Ghazanfar Ali Anwar (Hong Kong Science and Technology Parks)
WA
Wai-Kit Chan (Hong Kong Science and Technology Parks)
HI
Hiu-Hung Lee (Hong Kong Science and Technology Parks)
Journal: Construction and Building Materials, Volume:457, Article Number 139398
Impact Factor: 8.000 Citations: 1 Quartile: 1
SDG 9
Predicting the 28-day compressive strength by mix proportions: Insights from a large number of observations of industrially produced concrete 2023
Muhammad Zeshan Akber
C.S. Poon (Hong Kong University of Science and Technology)
WE
Wei Zheng (Orientfunds Precast Ltd)
XU
Xueqing Zhang (Hong Kong University of Science and Technology)
Journal: Construction and Building Materials, Volume:400, Article Number 132754
Impact Factor: 7.4 Citations: 13 Quartile: 1
SDG 9
Improving the experience of machine learning in compressive strength prediction of industrial concrete considering mixing proportions, engineered ratios and atmospheric features 2024
Muhammad Zeshan Akber
Journal: Construction and Building Materials, Volume:444, Article Number 137884
Impact Factor: 8.000 Citations: 12 Quartile: 1
SDG 9
Prediction of seven-day compressive strength of field concrete 2021
XU
Xueqing Zhang (Hong Kong University of Science and Technology (HKUST)
Muhammad Zeshan Akber
WE
Wei Zheng (Orientfunds Precast Ltd)
Journal: Construction and Building Materials, Volume:305, Article Number 124604
Impact Factor: 7.693 Citations: 74 Quartile: 1
SDG 9
Life cycle sustainability assessment of electricity generation in Pakistan: Policy regime for a sustainable energy mix 2017
Muhammad Zeshan Akber
Muhammad Jamaluddin Thaheem
HU
Husnain Arshad (-)
Journal: Energy Policy, Volume 111, Pages 111-126
Impact Factor: 4.039 Citations: 100 Quartile: 1
SDG 7 SDG 11
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