Ahmed C. Megri

TitleAssociate Professor

DepartmentCivil, Architectural, and Environmental Engineering

Phone336-285-3671

Emailacmegri@ncat.edu

OfficeMcNair Hall
Room: 454

1601 East Market Street
Greensboro, NC 27411

Ahmed C. Megri

Education

Other: Engineering Sciences , University of Pierre and Marie Curie, 2011

Ph D: Thermal Engineering, INSA (National Institute of Applied Sciences), 1993

MS: Heat Transfer, INSA (National Institute of Applied Sciences), 1989

Other: Architectural Engineering, Constantine University - Civil Engineering Institute , 1988


Research Interests

Areas of Interests (projects funded by DOE, DOD, EPA, and ASHRAE): - Integration Zonal Models/Building Energy Simulation Models, - Zero Net Energy (ZNE) building, - Airflow in Multizone Buildings & Smoke Control, - Thermal Comfort & IAQ, - Integrating Renewable Energy Systems in Buildings, - Energy, HVAC, Plumbing & Fire Protection Systems, - Computational Fluid Dynamic (CFD), - BIM & REVIT: Electrical/Lighting Design Systems & MEP, - Data Mining and Machine Learning: Support Vector Machine tools, - Engineering Education Research, - Ontology Development, Big Data, - 3D-printing and Advanced Manufacturing.


Recent Publications

Megri,  Faycal  Megri,  Ahmed  ( 2016).  An integrated fuzzy support vector regression and the particle swarm optimization algorithm to predict indoor thermal comfort.  In Professor Chuck Yu  ( 8,  25,  pp. 1248-1258).   Indoor and Built Environment.

Megri,  Ahmed   El Naqa,  Issam  ( 2016).  Prediction of the thermal comfort indices using improved support vector machine classifiers and nonlinear kernel functions.  In Professor Chuck Yu  ( 1,  25,  pp. 6-16).   Indoor and Built Environment.

Megri,  Faycal  Megri,  Ahmed  Djabri,  Riadh  ( 2015).  An integrated fuzzy support vector regression and the particle swarm optimization algorithm to predict indoor thermal comfort.    Indoor and Built Environment.

Megri,  Ahmed  ( 2015).  Investigation of Attic Space Airflow and Temperature Distribution Using a Computational Fluid Dynamics Program.  ( 121,  pp. 375).   ASHRAE Transactions.

Megri,  Ahmed  Yu,  Yao  ( 2015).  New calibrated zonal model (POMA+) for temperature and airflow predictions.  ( 94,  pp. 109รข€“121).   Building and Environment.

Megri,  Ahmed  Yu,  Yao  ( 2015).  Study of residential underfloor air distribution (UFAD) systems using a new modelling approach.    Indoor and Built Environment.