Nabil Nassif

Post-doctoral fellow : Department of Mechanical Engineering, University of Nevada Las Vegas NV, USA, 2007 (HVAC System)

Post-doctoral fellow : Department of Building, Civil & Environmental Engineering, Concordia University Montreal, Quebec, Canada, 2006 (Building Energy System)

Ph.D. Mechanical Engineering: Quebec University École de technologie supérieure Montréal, Québec, Canada, 2005 (HVAC system)

• Building mechanical systems and refrigeration systems
• Modeling, analysis, optimization and control of HVAC Systems
• Sustainable built environment, artificial intelligence applications and smart capabilities in building energy systems,
• Energy efficiency and technologies in buildings
• Fault detection and diagnosis of cooling and heating energy systems
• Continuous and retro-commissioning of HVAC systems

07-2016 -08-2017 Associate Professor , Department of Civil, Architectural, and Environmental Engineering, North Carolina A&T State University

08-2010 -07-2016 Assistant Professor , Department of Civil, Architectural, and Environmental Engineering, North Carolina A&T State University

06-2014 -09-2014 Visiting Research Faculty , Oak Ridge National Lab ORNL, TN

08-2009 -08-2010 Research Faculty , Florida Solar Energy Center FSEC, University of Central Florida

11-2007 -08-2009 Director of Engineering , Building Energy Solutions & Technology, San Jose, California, USA

07-2006 -11-2007 Postdoctoral Research Fellow , Department of Mechanical Engineering, University of Nevada Las Vegas, Las Vegas, USA

07-2005 -07-2006 Postdoctoral Research Fellow , Department of Building, Civil & Environmental Engineering, Concordia University, Quebec, Canada

08-2017 - Associate Professor , Department of Civil, Architectural Engineering and Construction Management, University of Cincinnati, Cincinnati, USA

Grant: #NIST 60NANB14D319 Investigators:Nassif, Nabil 10-10-2017 -10-10-2018 National Institute of Standards and Technology Developing an Assessment, Control, and Optimization Tool for HVAC Systems Role:PI $135,297.97 Awarded Level:Federal

Grant: #ODHE RAPIDS 4 Investigators:Nassif, Nabil 12-19-2018 -12-31-2021 Ohio Department of Higher Education RAPIDS Smart Building Automation Project Role:PI $279,075.00 Awarded Level:State of Ohio

Grant: #Grant # KAIT Investigators:Nabil Nassif 2014 -2017 Korea Agency for Infrastructure Technology Advancement Development of the BEMS (Building Energy Management System) Software Based on the Korean Standard. Role:PI $101,000 Completed Type:Grant

Grant: #NSF #1560385 Investigators:Bala Ram, Marcia Williams 2017 -2020 NSF REU-Engineering Modeling and Computational Research, Role:Co-PI $359,979 Completed Type:Grant

Grant: #Grant# Investigators:Nabil Nassif 2015 -2016 Michelin Americas Research Company A Comprehensive Energy Assessment for the Michelin Building Role:PI $5,289 Completed Type:Grant

Grant: ##0NANB14D319 Investigators:Nabil Nassif 2014 -2017 National Institute of Standards and Technology NIST Developing an Assessment, Control, and Optimization Tool for HVAC Systems- Phase-1. Role:PI $253,480 Type:Grant

Grant: ## Investigators:Nassif Nassif 2013 -2016 NCAT Facility Department, North Carolina State Energy office Investment Grade Energy Audit for 17 Buildings. Role:PI $151,275 Completed Type:Grant

Grant: ## Investigators: H Singh, Nabil Nassif 2013 -2015 North Carolina Department of Environment and Natural Resources NCDENR Center for Energy Research and Technology. Role:Co-PI $408,636 Completed Type:Grant Level:State

Grant: ## Investigators:H Singh, Nabil Nassif 2011 -2013 North Carolina Department of Commerce (NCDOC) Center for Energy Research and Technology. Role:Co-PI $316,242 Completed Type:Grant

Grant: ## Investigators:Nabil Nassif 2010 -2011 City of Satellite Beach Energy Audit and Energy Efficiency Implementation for the City of Satellite Beach, Role:PI $33,322 Completed Type:Grant

Grant: #SES-2026594 Investigators:Bhiwapurkar, Pravin; Black, Ann; Fry, Michael; Harfmann, Anton; Linders, Annulla; Nassif, Nabil; Rebola, Claudia; Tang, Ming; Wendell, David 01-01-2021 -12-31-2021 National Science Foundation Future of Work: Understanding the interrelationships between humans and technology to improve the quality of work life in smart buildings. Role:Collaborator $149,720.00 Awarded Level:Federal

Grant: #ASHRAE Undergraduate Program Equipment Grant Investigators:Nassif, Nabil 08-01-2020 -07-31-2021 American Society of Heating, Refrigerating and Air-Condition Integrated Variable Air Volume and Terminal VAV Box Control with BACnet DDC, Matlab-Based Monitoring, and Simulation Systems Role:PI $4,800.00 Awarded Level:Private Non-Profit

Grant: #DE-EE0011194 Investigators:Nassif, Nabil 02-01-2024 -01-31-2027 Department of Energy Cost-Effective Integration of PCM Thermal Energy Storage and Wet Compression for High-Temperature Industrial Heat Pumps Role:PI 410274.00 Hold Level:Federal

Peer Reviewed Publications

M Arida, N Nassif, Talib R, T. Abu-Lebdeh (2017. ) Building Energy Modeling Using Artificial Neural Networks .Energy Research Journal, , 7 (2 ) ,24-34

Nassif, N. and Gooden (2017. ) Development and Validation of a Heat Pump System Model Using Artificial Neural Network .Advances in Science, Technology and Engineering Systems Journal , , 2 (3 ) ,182-185

Nassif, N. and AlRaees, N (2017. ) Optimizing the Design of Chilled Water Plants for Commercial Building Energy Systems .ASHRAE Transactions, , 123 (2 ) ,

Nassif, N, J. Buford, T. Abu-Lebdeh (2017. ) Developing and Testing Dynamic Models for HVAC Systems Using System Identification Approach. .American Journal of Engineering and Applied Sciences, , 10 (1 ) ,192-199.

R. Tesiero, N. Nassif, B. Gokaraju (2017. ) Intelligent Approaches for Modeling and Optimizing HVAC Systems’ Energy Use .International Conference on Energy Sustainability ES2017, , ASME 2017 11th ,

Nassif, N., M. Arida, and R. Talib. (2016. ) Development and Testing of Building Energy Model Using Non-Linear Auto Regression Neural Networks .2016 ASHRAE Meeting , , St Louis, MO ,

Buford J. N. Nassif (2016. ) The Dynamic Modeling of Chilled Water HVAC Systems Using System Identification Methods .2016 ASHRAE Meeting , , St Louis, MO. ,

Ours, A. Nassif, N, D. Long (2016. ) Forecasting Savings of Building Energy Systems using Artificial Neural Networks .FTC 2016 - Future Technologies Conference 6-7 December 2016 | San Francisco, United States, ,

Long, D., Nassif, N, A. Ours. (2016. ) Prediction of Energy Consumption in Buildings by System Identification .FTC 2016 - Future Technologies Conference 6-7 December 2016 | San Francisco, United States, ,

Nassif, N., K. Rice, B. Shen (2015. ) Development of a Matlab-Based Integrated Model for Optimal Design and Operation of Heat Pumps .2015 ASHRAE Annual Conference, Atlanta, GA, ,

Gooden, J., N. Nassif (2015. ) Modeling and Validation of a DX Heat Pump System Using Artificial Neural Network .2015 ASHRAE Annual Conference, Atlanta, GA, ,

Nassif, N. (2015. ) Building Energy Modeling Using Non-Linear Auto Regression Neural Networks .The 2015 International Conference on Artificial Intelligence, July 27-30, 2015, Las Vegas, USA , ,

Tesiero, R., N. Nassif, H. Singh, and K. M. Flurchick (2014. ) Low-cost strategies to save energy in k-12 schools. .American Journal of Engineering and Applied Sciences , , 7 (1 ) ,41-53

AlRaees, N., N. Nassif, and F. Al Rifaie (2014. ) The effect of ventilation and economizer on energy consumptions for air source heat pumps in schools. .American Journal of Engineering and Applied Sciences , , 7 (1 ) ,54-61

Nassif, N., and N. Al Raees (2014. ) Energy Analysis of CO2-Based Demand Controlled Ventilation and Economizer for Air Source Heat Pump in Schools .ASHRAE Transactions, , 120 (1 ) ,

Tesiero, R. N. Nassif, H. Singh (2014. ) Low-Tech/No-Cost” Control Strategies to Save Energy in K-12 Schools .ASHRAE Transactions, , 120 (1 ) ,

Nassif, N., C. Halls, and D., Freeland (2014. ) Optimal Design and Control of Ice Thermal Storage System for a Typical Chilled Water Plant, .ASHRAE Transactions , , 120 (1 ) ,

Lin, Y., N. Nassif, and M. Liu (2014. ) Implementation of Energy Efficiency Measures in a Semiconductor Building .Journal of Energy Engineering (Association of Energy Engineers (AEE). , , 111 (4 ) ,34-58

Choi. W., N. Nassif, and S.-H. Oh (2014. ) Comparison of Temperature Susceptibility for Three Types of Outdoor Farrowing Huts .Applied Engineering in Agriculture , , 30 (2 ) ,241-247

Nassif, N (2014. ) Modeling and Optimization of HVAC Systems Using Artificial Neural Network and Genetic Algorithm .International Journal of Building Simulation , , 7 (3 ) ,237-245

Nassif, N., R. Tesiero, and N. Al Raees (2013. ) Energy Performance Analysis of Ice Thermal Storage for Commercial HVAC Systems .Journal of Energy and Power Engineering , , 7 ,1713-1718

Nassif, N (2013. ) Single and Multivariate Regression Models for Estimating Monthly Energy Consumptions in Schools in Hot and Humid Climates .Journal of Energy Engineering (Association of Energy Engineers AEE), , 110 (5 ) ,33-54

Nassif, N, R.C. Tesiero, and H. Singh (2013. ) Impact of Ice Thermal Storage on Cooling Energy Cost for Commercial HVAC Systems. .ASHRAE Transactions, , 119 (1 ) ,

Nassif, N, R.C. Tesiero, and H. Singh (2013. ) Developing and Validation of HVAC System Fan Model Based on Numerical Analysis .ASHRAE Transactions , , 119 (1 ) ,

Nassif, N., and Al Raees (2013. ) The Impact of CO2-Based Demand-Controlled Ventilation on Energy Consumptions for Air Source Heat Pumps in Schools .The 13th annual International Conference for Enhanced Building Operations (ICEBO), 8 – 11th October- 2013 Montréal, Canada , ,

Nassif, N., C. Halls, and D., Freeland (2013. ) Optimization of Ice Thermal Storage System Design for HVAC systems .The 13th annual International Conference for Enhanced Building Operations (ICEBO), 8 – 11th October- 2013 Montréal, Canada , ,

Hall, C., D., Freeland, and Nassif, N (2013. ) Optimization of Ice Thermal Storage System Design and Operation for HVAC Systems .National Conference on Advances in Environmental Science & Technology, 12-13 September, Greensboro, NC., USA., ,

AlRaee, N. and Nassif, N (2013. ) The Effect of Ventilation Control Strategy and Economizer on Energy Consumptions for Air Source Heat Pumps in Schools .National Conference on Advances in Environmental Science & Technology, 12-13 September, Greensboro, NC., USA., ,

Freeland, D., C. Hall, and Nassif, N Optimizing the Design of Chilled Water Plants in Large Commercial Buildings .National Conference on Advances in Environmental Science & Technology, 12-13 September, Greensboro, NC., USA., ,

Tesiero, R., and Nassif, N (2013. ) Artificial Intelligent Approaches for Modeling and Optimizing HVAC Systems .National Conference on Advances in Environmental Science & Technology, 12-13 September, Greensboro, NC., USA., ,

Nguyen, T., and Nassif, N (2013. ) Optimization of HVAC System Using Genetic Algorithm .National Conference on Advances in Environmental Science & Technology, 12-13 September, Greensboro, NC., USA., ,

Nassif, N (2012. ) The Impacts of Air Filters on the Performance of Typical Air-Conditioning Systems .International Journal of Building Simulation , , 5 (4 ) ,345-350

Nassif, N (2012. ) A robust CO2-based demand-controlled ventilation control strategy for multi-zone HVAC systems .Energy and Buildings, , 45 ,72-81

Nassif, N (2012. ) Modeling and Optimization of HVAC Systems Using Artificial Intelligence Approaches .ASHRAE Transactions , , 118 (2 ) ,133

Nassif, N (2012. ) Impacts of Air Filters on Energy Consumption in Typical HVAC Systems .ASHRAE Transactions , , 118 (2 ) ,74

Nassif, N (2012. ) Supply Air CO2-Based Demand-Controlled Ventilation for Multi-Zone HVAC Systems .ASHRAE Transactions, , 118 (2 ) ,300

Nassif, N Regression Models for Estimating Monthly Energy Consumptions in Schools in Hot and Humid Climate .ASHRAE Transactions , , 118 (1 ) ,225

Nassif, N. and S. Moujaes (2011. ) Improved Delta-Q Measurement Technique for Estimating the Total and Local Leakages in Residential Buildings .International Journal of Energy Engineering , , 137 (2 ) ,76-87

Nassif, N (2011. ) CO2-Based Demand-Controlled Ventilation Control Strategies for Multi-Zone HVAC Systems .The 11th International Conference for Enhanced Building Operations, October 18-20, 2011, New York City N. , ,

Nassif, N (2011. ) Models for Estimating Monthly Energy Consumptions in Schools .The Second International Conference on Green and Sustainable Technology, Nov. 18-19, 2011, Proximity Hotel, Greensboro, NC, ,

Nassif, N (2010. ) Performance Analysis of Supply and Return Fans for HVAC Systems under Different Operating Strategies of Economizer Dampers .International Journal of Energy and Buildings , , 42 ,1026–1037

Nassif, N (2010. ) Modeling of HVAC system Components Using Artificial Neural Networks .The First International Conference on Green and Sustainable Technology, Nov. 18-19, 2010, Proximity Hotel, Greensboro, NC, ,

Nassif, N. and S. Moujaes (2009. ) Measurement Techniques for Estimating Local and Total Duct Leakages in Residential Buildings .International Journal of Energy Engineering (ASCE), , 134 (1 ) ,3-11

Moujaes, S. and N. Nassif (2009. ) Field Measurements of a New Duct leakage Method in Residential Homes in Las Vegas .5th International Workshop on Energy and Environment of Residential Buildings, China, ,

Nassif, N. and S. Moujaes (2008. ) A Cost-Effective Operating Strategy to Reduce Energy Consumption in a HVAC system .International Journal of Energy Research, , 32 (6 ) ,543 - 558

Nassif, N. and S. Moujaes (2008. ) A New Operating Strategy for Economizer Dampers of VAV System .International Journal of Energy and Buildings , , 40 (3 ) ,289-299

Nassif, N., S. Moujaes, and M. Zaheeruddin (2008. ) Self-Tuning Dynamic Models of HVAC System Components .Energy and Buildings , , 40 ,1709–1720

Nassif, N. and S. Moujaes (2008. ) Developing and validation of a new measurement technique for estimating the local and total leakage in typical residential buildings .International Journal of Energy Engineering (ASCE), , 134 (3 ) ,87-94

Nassif, N. and S. Moujaes (2008. ) Field Testing and Verification of a Technique for Measuring the Local and Total Air Duct Leakage in Residential Buildings .Indoor Air Conference, Copenhagen, paper ID 648, 8 pages. , ,

Nassif, N. and M. Zaheeruddin (2007. ) Simulated Performance Analysis of a Multi-Zone VAV System under Different Ventilation Control Strategies .ASHRAE Transactions , , 113 (1 ) ,617-629

Nassif, N. and R. Zmeureanu (2006. ) Dynamic Data-Driven Gray-Box Models of HVAC System Components .Canadian conference on building energy simulation eSim2006, Toronto, 118-125. , ,

Nassif, N., Kajl, S., Sabourin, R (2005. ) Ventilation Control Strategy Using Supply CO2 Concentration Set Point .International Journal of HVAC&R Research (ASHRAE), , 11 (2 ) ,239-262

Nassif, N., S. Kajl, and R. Sabourin (2005. ) Optimization of HVAC Control System Strategy Using Two-objective Genetic Algorithm .International Journal of HVAC&R Research (ASHRAE), , 11 (3 ) ,459-486

Nassif, N., S. Kajl, R. Sabourin (2005. ) ASHRAE Standard’s 62 Multiple Spaces Equation for Design and Control .The 10th International Conference on Indoor Air Quality and Climate, Indoor Air Quality 2005, Beijing. , ,

Nassif, N., S. Kajl, R. Sabourin (2005. ) Simplified Model-Based Optimal Control of VAV air-Conditioning System .The Ninth International Building Performance Simulation Association IBPSA, Montréal, 823-830., ,

Nassif, N., S. Kajl. R. Sabourin (2005. ) Optimal Operation of VAV Air-Conditioning System .The XI International Conference of Air Conditioning, air Protection & District Heating. Poland, ,

Nassif, N., S. Kajl, and R. Sabourin (2004. ) Two-Objective On-Line Optimization of Supervisory Control Strategy .International Journal of Building Services Engineering Research and Technology, , 25 (3 ) ,241-251

Nassif, N., S. Kajl, and R. Sabourin (2004. ) Modeling and Validation of Existing VAV System Components .Canadian conference on building energy simulation, eSim2004, Vancouver, 135-141, ,

Nassif, N., S. Kajl, and R. Sabourin (2004. ) Evolutionary Algorithms for Multi-Objective Optimization in HVAC System Control Strategy .North American Fuzzy Information Processing Society NAFIPs, Alberta, 51-56, ,

Nassif, N., S. Kajl, and R. Sabourin (2003. ) Two-Objective On-Line Optimization of Supervisory Control Strategy .Eight International Building Performance Simulation Association IBPSA, Eindhoven, 927-934., ,

Nassif, N., S. Kajl, and R. Sabourin (2003. ) Monitoring: un outil d’optimisation de l’opération des systèmes CVCA .1st International Conference on Sustainable Energy and Green Architecture, Bangkok, GA 65-72, ,

Nassif, N., Kajl, S., Sabourin, R (2003. ) Modélisation des composants d'un système CVCA existant .VI Colloque interuniversitaire franco-québécois, Québec, 5 pages, article 12-01, ,

Nassif N.;Hamoush S.;Yoon D. (2015. ) Building energy modeling using non-linear auto regression neural networks .Proceedings of the 2015 International Conference on Artificial Intelligence, ICAI 2015 - WORLDCOMP 2015, , 765-769

Nassif N. (2018. ) Regression and artificial neural network models with data classifications for building energy predic .ASHRAE Transactions, , 124 ,52-60

Ours A.;Nassif N.;Long D. (01-17-2017. ) Forecasting savings of building energy systems using artificial neural networks.FTC 2016 - Proceedings of Future Technologies Conference, , 862-867 More Information

Long D.;Nassif N.;Ours A. (01-17-2017. ) Prediction of energy consumption in buildings by system identification.FTC 2016 - Proceedings of Future Technologies Conference, , 701-705 More Information

Nassif N.;Gooden J. (01-01-2017. ) Development and validation of a heat pump system model using artificial neural network.Advances in Science, Technology and Engineering Systems, , 2 (3 ) ,182-185 More Information

Nassif N.;Airaees N.;Airifaie F. (01-01-2017. ) Optimizing the design of chilled-water plants for commercial building energy systems .ASHRAE Conference-Papers, , 123 ,64-71

Tesiero R.;Nassif N.;Gokaraju B.;Doss D. (01-01-2017. ) Intelligent approaches for modeling and optimizing HVAC systems' energy use.ASME 2017 11th International Conference on Energy Sustainability, ES 2017, collocated with the ASME 2017 Power Conference Joint with ICOPE 2017, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum, , More Information

Nassif N. (06-01-2014. ) Modeling and optimization of HVAC systems using artificial neural network and genetic algorithm.Building Simulation, , 7 (3 ) ,237-245 More Information

Lin Y.;Nassif N.;Liu M. (06-01-2014. ) Implementation of energy efficiency measures in a semiconductor building.Energy Engineering: Journal of the Association of Energy Engineering, , 111 (4 ) ,34-58 More Information

Nassif N.;Hall C.;Freeland D. (01-01-2014. ) Optimal design and operation of ice thermal storage system for a typical chilled water plant .ASHRAE Transactions, , 120 (PART 1 ) ,248-255

Choi W.;Nassif N.;Whitley N.;Oh S. (01-01-2014. ) Comparison of temperature and humidity in three types of outdoor farrowing huts.Applied Engineering in Agriculture, , 30 (2 ) ,241-247 More Information

Nassif N. (08-01-2013. ) Single and multivariate regression models for estimating monthly energy consumption in schools in ho.Energy Engineering: Journal of the Association of Energy Engineering, , 110 (5 ) ,33-54 More Information

Nassif N. (12-01-2012. ) Modeling and optimization of HVAC systems using artificial intelligence approaches .ASHRAE Transactions, , 118 (PART 2 ) ,133-140

Nassif N. (12-01-2012. ) Impacts of air filters on energy consumption in typical HVAC systems .ASHRAE Transactions, , 118 (PART 2 ) ,74-81

Nassif N. (12-01-2012. ) Supply air CO2-based demand-controlled ventilation for multi-zone HVAC system .ASHRAE Transactions, , 118 (PART 2 ) ,300-307

Nassif N. (12-01-2012. ) The impact of air filter pressure drop on the performance of typical air-conditioning systems.Building Simulation, , 5 (4 ) ,345-350 More Information

Nassif N. (08-20-2012. ) Regression models for estimating monthly energy consumptions in schools in hot and humid climates .ASHRAE Transactions, , 118 (PART 1 ) ,225-232

Nassif N. (02-01-2012. ) A robust CO 2-based demand-controlled ventilation control strategy for multi-.Energy and Buildings, , 45 ,72-81 More Information

Nassif N.;Moujaes S. (06-01-2011. ) Improved Delta-Q measurement technique for estimating the total and local leakages in residential bu.Journal of Energy Engineering, , 137 (2 ) ,76-87 More Information

Nassif N. (07-01-2010. ) Performance analysis of supply and return fans for HVAC systems under different operating strategies.Energy and Buildings, , 42 (7 ) ,1026-1037 More Information

Nassif N.;Moujaes S.;Gundavelli R.;Selvaraj D.;Teeters K. (02-24-2009. ) Measurement techniques for estimating local and total duct leakages in residential buildings.Journal of Energy Engineering, , 135 (1 ) ,3-11 More Information

Nassif N.;Moujaes S. (08-25-2008. ) Development and validation of a new field measurement technique for estimating the local and total a.Journal of Energy Engineering, , 134 (3 ) ,87-94 More Information

Nassif N.;Moujaes S.;Zaheeruddin M. (06-02-2008. ) Self-tuning dynamic models of HVAC system components.Energy and Buildings, , 40 (9 ) ,1709-1720 More Information

Nassif N.;Moujaes S. (05-01-2008. ) A cost-effective operating strategy to reduce energy consumption in a HVAC system.International Journal of Energy Research, , 32 (6 ) ,543-558 More Information

Nassif N.;Moujaes S. (01-01-2008. ) A new operating strategy for economizer dampers of VAV system.Energy and Buildings, , 40 (3 ) ,289-299 More Information

Nassif N.;Zaheer-uddin M. (08-23-2007. ) Simulated performance analysis of a multizone VAV system under different ventilation control strateg .ASHRAE Transactions, , 113 PART 1 ,617-629

Nassif N.;Kajl S.;Sabourin R. (12-01-2005. ) Simplified model-based optimal control of VAV airconditioning system .IBPSA 2005 - International Building Performance Simulation Association 2005, , 823-830

Nassif N.;Kajl S.;Sabourin R. (01-01-2005. ) Optimization of HVAC control system strategy using two-objective genetic algorithm.HVAC and R Research, , 11 (3 ) ,459-486 More Information

Nassif N.;Kajl S.;Sabourin R. (01-01-2005. ) Ventilation control strategy using the supply CO2 concentration setpoint.HVAC and R Research, , 11 (2 ) ,239-262 More Information

Nassif N.;Kajl S.;Sabourin R. (10-07-2004. ) Two-objective on-line optimization of supervisory control strategy.Building Services Engineering Research and Technology, , 25 (3 ) ,241-251 More Information

Nassif N.;Kajl S.;Sabourin R. (09-29-2004. ) Evolutionary algorithms for multi-objective optimization in HVAC system control strategy .Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, , 1 ,51-56

Nabil Nassif (2018. ) Modeling and Testing of a Single-Speed DX Air-Conditioning System .ASHRAE Transactions, , 124 (1 ) ,44

Talib, R., N Nassif, and M. Arida (2018. ) Chilled Water VAV System Optimization and Modeling Using Artificial Neural Networks. American Journal of Engineering and Applied Sciences , , 11 (4 ) ,1188

Nassif, N, N. Al Raees, and F. Al Rifai (2018. ) Developing an Integrated Method for Optimal Design of Chilled Water Plants in HVAC Systems. .Energy Research Journal, , 9 ,96

Eaton, A, N. Nassif, P. Rai, P, N. K. Rodrigues. 2019. (2019. ) Energy Consumption and Saving Calculations Using Nearest Neighbor and Artificial Neural Network Models. .Canadian Science and Research Group, Energy Management Research Journal , , 2 (1 ) ,11

Rai, P, N. Nassif, K. Eaton, A. Rodrigues (2019. ) Applications of Machine Learning in Building Energy Prediction and Savings .Energy Research Journal, Volume 10: Pages 1-10 , , 10 ,1

Nassif, N., F. Al Rifaie, N., AlRaees (2018. ) Development of Optimal Design Tool for Chilled Water Plants for Commercial Buildings. eSim 2018, Montreal, Canada. , ,

Eaton, A, N. Nassif, P. Rai, P, N. K. Rodrigues (2019. ) Linear and Classification Learner Models for Building Energy Predictions and Predicting Saving Estimations .SIMAUD 2019, Atlanta, GA April 07-09. , ,

N. Nassif, Al Rifaie, N., AlRaees. (2019. ) Two-Objective Genetic Algorithm Optimization of Chilled Water Plant Design. .2019 ASHRAE meeting, Kansas City. , ,

Tahmasebi, M., N. Nassif, K. Eaton, R. Talib (2019. ) Smart Integrated Optimization Technique for Large Chilled Water Systems. .2019 ASHRAE meeting, Kansas City. , ,

Nassif N. (01-01-2018. ) Modeling and testing of a single-speed DX air-conditioning system .ASHRAE Transactions, , 124 ,44-51

Eaton K.; Nassif N.; Rai P.; Rodrigues A. (01-01-2019. ) Linear and classification learner models for building energy predictions and predicting saving estim .Simulation Series, , 51 (8 ) ,269-275

Talib R.; Rodrigues A.; Nassif N. (01-01-2020. ) Energy recovery equipment and control strategies in various climate regions.Advances in Science, Technology and Engineering Systems, , 5 (4 ) ,47-53 More Information

Ridwana I.; Nassif N.; Choi W. (11-01-2020. ) Modeling of building energy consumption by integrating regression analysis and artificial neural net.Buildings, , 10 (11 ) ,1-14 More Information

Nassif N.; Airaees N.; Al Rifaie F. (01-01-2019. ) Two-objective genetic algorithm optimization of chilled water plant design .ASHRAE Transactions, , 125 ,80-82

Tahmasebi M.; Nassif N.; Eaton K.; Talib R. (01-01-2019. ) Smart integrated optimization technique for large chilled water systems .ASHRAE Transactions, , 125 ,83-86

Nassif N. (11-01-2020. ) Using dual-duct, dual-VAV to reduce cooling & heating loads .ASHRAE Journal, , 62 (11 ) ,14-21

Nassif N. (04-01-2021. ) Increasing efficiency by using four-pipe water source heat pumps .ASHRAE Journal, , 63 (4 ) ,24-31

Nassif N.; Ridwana I. (10-01-2021. ) Improving building energy performance using dual vav configuration integrated with dedicated outdoor.Buildings, , 11 (10 ) , More Information

Talib R.; Nassif N. (10-01-2021. ) “Demand Control” an Innovative Way of Reducing the HVAC System’s Energy Consumption.Buildings, , 11 (10 ) , More Information