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Vartenie Aramali, Ph.D.
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Predictive models for concrete properties using machine learning and deep learning approaches: A review
MM Moein, A Saradar, K Rahmati, SHG Mousavinejad, J Bristow, ...
Journal of Building Engineering 63, 105444, 2023
1142023
Forward-looking state-of-the-art review on earned value management systems: The disconnect between academia and industry
V Aramali, H Sanboskani, GE Gibson Jr, M El Asmar, N Cho
Journal of Management in Engineering 38 (3), 03122001, 2022
212022
Earned value management system state of practice: Identifying critical subprocesses, challenges, and environment factors of a high-performing EVMS
V Aramali, GE Gibson Jr, M El Asmar, N Cho
Journal of Management in Engineering 37 (4), 04021031, 2021
212021
Investigation of impact resistance of high-strength portland cement concrete containing steel fibers
M Mohtasham Moein, A Saradar, K Rahmati, A Hatami Shirkouh, ...
Materials 15 (20), 7157, 2022
182022
Earned value management system (EVMS) reliability: A review of existing EVMS literature
N Cho, M El Asmar, GE Gibson Jr, V Aramali
Construction Research Congress 2020, 631-639, 2020
152020
Employing technology to enable remote research charrettes as a method for engaging industry and uncovering best practices: A novel approach for a post-COVID-19 world
GE Gibson Jr, H Sanboskani, M El Asmar, V Aramali
Journal of Construction Engineering and Management 148 (11), 04022122, 2022
92022
Predictive models for concrete properties using machine learning and deep learning approaches: a review. J Build Eng 63: 105444
M Mohtasham Moein, A Saradar, K Rahmati, ...
62023
EVMS maturity and its impact on project cost and schedule performance of large and complex projects: A preliminary analysis
V Aramali, H Sanboskani, GE Gibson Jr, M El Asmar
Construction Research Congress 2022, 1100-1109, 2022
62022
Novel earned value management system maturity framework and its relation to project performance
V Aramali, GE Gibson Jr, M El Asmar, H Sanboskani
Journal of Construction Engineering and Management 149 (6), 04023031, 2023
32023
EVMS Maturity Assessment Tool Development Process: Integrated Project/Program Management (IP2M) Maturity and Environment Total Risk Rating (METRR) Using an Earned Value …
V Aramali, GE Gibson Jr, M El Asmar, N Cho, H Sanboskani
Report, 2022
32022
EVMS Environment Assessment Tool Development Process: Integrated Project/Program Management (IP2M) Maturity and Environment Total Risk Rating (METRR) Using an Earned Value …
V Aramali, GE Gibson Jr, M El Asmar, N Cho, H Sanboskani
Report, 2022
32022
An Effective Earned Value Management System (EVMS) is a Team Sport
V Aramali, GE Gibson Jr, ME Asmar, H Sanboskani
Project Management Journal, 87569728231226226, 2024
22024
Implementing the integrated project/program management (IP2M) maturity and environment total risk rating (METRR) using EVMS in a team environment
GEJ Gibson, M El Asmar, H Sanboskani, V Aramali
School of Sustainable Engineering and the Built Environment, Ira A. Fulton …, 2022
22022
Enhancing project success: the impact of sociotechnical integration on project and program management using earned value management systems
V Aramali, GE Gibson, H Sanboskani, M El Asmar
International Journal of Managing Projects in Business 17 (8), 1-21, 2024
2024
Performance Workshops and Data Analysis: Integrated Project/Program Management (IP2M) Maturity and Environment Total Risk Rating (METRR) Using an Earned Value Management System …
V Aramali, GEJ Gibson, M El Asmar, H Sanboskani
Report, 2022
2022
Improving the Maturity and Environment of Earned Value Management Systems (EVMS) Leading to Enhanced Project and Program Management Integration and Performance
VM Aramali
Arizona State University, 2022
2022
Operational variations of EPC delivery approach of power plant projects, comparison of current regional EPC contracts versus FIDIC
VM Aramali
Theses, Dissertations, and Projects, 2017
2017
Assessing Usability of Construction Safety Culture and Climate Framework: A Crucial Method for Advancing Construction Safety
A Jalil Al-Bayati, V Aramali, CH Ko
Construction Research Congress 2024, 417-424, 0
Preliminary Study: Use of Large Generative Artificial Intelligence Models in Integrated Project Management
V Aramali, N Cho, S Nashar
Construction Research Congress 2024, 99-108, 0
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Articles 1–19