Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Mohamed T Elnabwy

Northumbria University

United Kingdom

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in United Kingdom

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2022

Collaborators (4)

Pablo Martinez

Associate Professor

Northumbria University

UNITED KINGDOM

View details

Ibrahim Motawa

Professor of Digital Construction and BIM

University of Ulster

UNITED KINGDOM

View details

Osama Mohsen

Assistant Professor

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

View details

Ehab A Mlybari

Associate Prof. of Construction Engineering and Project Management

umm al-qura university

SAUDI ARABIA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Mohamed T Elnabwy

Research Interests

Make your next move.

Explore related searches

Articles (20)

An integrated BIM framework for schedule-aware construction waste management in building renovation projects

Integrating automation into construction waste quantification: A review of digital innovations for sustainable resource management

Scenario-based material-flow and circularity assessment of deep renovation projects

AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development

AI Adoption Enablers and Institutional Governance for Sustainable Infrastructure Resilience in Smart Cities

Prioritising construction accident risk factors using an integrated Random Forest, XGBoost, and ANN framework with sensitivity analysis

An integrated ISM-MICMAC approach to identify and prioritize civil engineering-related hazards: a case study in Egypt

Evaluating project management office adoption for value-oriented governance in large-scale construction projects

Enhancing construction site layout planning using hybrid Ant Colony and simulated annealing algorithms

Synthetic Residential Building Energy-Consumption Dataset Generation Through Parametric Simulation for Hot–Arid Egypt

Optimising Harbour Construction Projects for Environmental Sustainability: A Hybrid Artificial Intelligence Approach

Modeling regional mean sea level based on climate measurements using a stacked ensemble approach

Coastal Road Resilience in Nile Delta, Egypt: A Comprehensive Multihazard Risk Assessment

Integrated Ensemble Learning for Enhanced Accuracy in Satellite-Derived Bathymetry of Shallow Coastal Zones

An integrated machine learning approach for evaluating critical success factors influencing project portfolio management adoption in the construction industry

Identifying Root Causes and Sustainable Solutions for Reducing Construction Waste Using Social Network Analysis

Fuzzy AHP Approach for Enhancing Excavation Support System Selection in Building Projects: Balancing Safety and Cost-Effectiveness

Leveraging convolutional neural networks for efficient classification of heavy construction equipment

Critical Success Factors for the Widespread Adoption of Virtual Alternative Dispute Resolution (VADR) in the Construction Industry

Conceptual prediction of harbor sedimentation quantities using AI approaches to support integrated coastal structures management

Collaborators (4)

Pablo Martinez

Ibrahim Motawa

Osama Mohsen

Ehab A Mlybari

Make your next move.