Ranji Ranjithan

Professor, Director of Graduate Programs, Associate Head

Dr. S. Ranji Ranjithan is a Professor of Civil Engineering. He joined the Civil Engineering Department at North Carolina State University in 1995. He is also a faculty member in the Operations Research Program. His research interests are in the area of engineering systems analysis. Dr. Ranjithan is a member of the Environmental, Water Resources, and Coastal Engineering and Computing and Systems faculty groups within Civil Engineering. His primary areas of teaching and research focus on developing mathematical and computer-based procedures for modeling and analysis of engineering systems, and their implementations to aid decision makers explore and examine solutions to complex engineering problems.

Current and recent areas of application include infrastructure systems engineering, water and environmental sustainability, solid waste management, groundwater monitoring and remediation, watershed management, non-destructive testing of pavements and timber structures, and emergency evacuation management. Working in collaboration with fellow researchers, he focuses on approaching these problems from a multi-disciplinary perspective. Most of his applications research attempt to integrate systems analytic methods with different computational paradigms to develop working prototypes of engineering decision support tools.

His research sponsors and collaborating agencies include the US EPA, NSF, DHS, Center for Transportation and the Environment, North Carolina Supercomputing Center/MCNC, Oak Ridge National Laboratories, North Carolina Department of Environment and Natural Resources, Research Triangle Institute, North Carolina Department of Transportation, and Transportation Research Board.

Education

Ph.D. 1992

Environmental Engineering

University of Illinois, Urbana-Champaign

M.Eng. 1985

Industrial Engineering and Management

Asian Institute of Technology

B.S. 1981

Mechanical Engineering

University of Peradeniya

Research Description

Dr Ranjithan is interested in mathematical modeling and optimization, evolutionary computation, systems analysis, computer-based decision support tools, decision making under uncertainty, artificial neural networks; areas of applications include air quality management, watershed management, animal waste management, solid waste management, and transportation engineering. He is involved with Computing and Systems, Energy, and Architectural research that is helping to innovate sustainable building design by coupling simulation and building information models with analytical and optimization methods to integrate architectural and engineering design processes such that the energy efficiency of buildings can be enhanced at every stage of building design. Mathematical modeling and computational procedures are being developed and used by his group of Computing and Systems researchers to quantify the resilience of a civil infrastructure system (CIS) in supporting lifeline services that are collectively enabled by the components of that CIS. Founded on these research results, the system-wide resilience metrics are combined with decision models and search algorithms to prioritize infrastructure investments to improve lifeline service resilience considering storm hazards and their impacts on the civil infrastructure systems. His Computing and Systems and Water Resources research collaborations are playing a key role in helping to detect leaks in water distribution networks by integrating hydraulic simulation models and infrastructure data with contemporary analytical methods that are enabled by high performance computing technologies. Computational and analytical procedures in sync with modern search algorithms developed by his research team have resulted in efficient and effective decision-support tools to identify sources of contamination in groundwater aquifer systems and water distribution networks. Through development and innovative interfacing of data, measurements, analytical and decision models, and search algorithms for optimization, he couples Computing and Systems and Environmental Engineering research to develop, test and apply one-of-a-kind life-cycle-based municipal solid waste management decision-support tool for generating integrated waste management plans that consider cost, energy and material consumption, environmental impacts and potential carbon prices. By his collaborative efforts in Computing and Systems and Water Resources research, flow alteration-driven ecological impacts in watersheds due to land-use and climate change effects are being modeled and studied through development of contemporary data and modeling tools and their integration with optimization methods that support water sustainability and adaptive watershed management.

Publications

Construction and setup of a bench-scale algal photosynthetic bioreactor with temperature, light, and ph monitoring for kinetic growth tests
Karam, A. L. and McMillan, C. C. and Lai, Y. C. and Reyes, F. L. and Sederoff, H. W. and Grunden, A. M. and Ranjithan, R. S. and Levis, J. W. and Ducoste, J. J. (2017), Jove-Journal of Visualized Experiments, (124), .
Role of multimodel combination and data assimilation in improving streamflow prediction over multiple time scales
Li, W. H. and Sankarasubramanian, A. and Ranjithan, R. S. and Sinha, T. (2016), Stochastic Environmental Research and Risk Assessment, 30(8), 2255-2269.
An enhanced linear regression-based building energy model (LRBEM plus ) for early design
Al Gharably, M. and DeCarolis, J. F. and Ranjithan, S. R. (2016), Journal of Building Performance Simulation, 9(2), 115-133.
Understanding the low-frequency variability in hydroclimatic attributes over the southeastern US
Wang, H. and Sankarasubramanian, A. and Ranjithan, R. S. (2015), Journal of Hydrology, 521(), 170-181.
Improved regional water management utilizing climate forecasts: An interbasin transfer model with a risk management framework
Li, W. H. and Sankarasubramanian, A. and Ranjithan, R. S. and Brill, E. D. (2014), Water Resources Research, 50(8), 6810-6827.
Systematic exploration of efficient strategies to manage solid waste in US municipalities: Perspectives from the solid waste optimization life-cycle framework (SWOLF)
Levis, J. W. and Barlaz, M. A. and DeCarolis, J. F. and Ranjithan, S. R. (2014), Environmental Science & Technology, 48(7), 3625-3631.
battle of the Water Networks II
Marchi, A. and Salomons, E. and Ostfeld, A. and Kapelan, Z. and Simpson, A. R. and Zecchin, A. C. and Maier, H. R. and Wu, Z. Y. and Elsayed, S. M. and Song, Y. and Walski, T. and Stokes, C. and Wu, W. Y. and Dandy, G. C. and Alvisi, S. and Creaco, E. and Franchini, M. and Saldarriaga, J. and Paez, D. (2014), Journal of Water Resources Planning and Management, 140(7), .
A monitoring network design procedure for three-dimensional (3D) groundwater contaminant source identification
Jin, X. and Ranjithan, R. S. and Mahinthakumar, G. (2014), Environmental Forensics, 15(1), 78-96.
Development of a simultaneous search-based pilot point method for subsurface characterization
Jung, Y. and Mahinthakumar, G. and Ranjithan, R. (2013), Stochastic Environmental Research and Risk Assessment, 27(8), 2003-2013.
Integration of climate and weather information for improving 15-day-ahead accumulated precipitation forecasts
Wang, H. and Sankarasubramanian, A. and Ranjithan, R. S. (2013), Journal of Hydrometeorology, 14(1), 186-202.
Special issue on the role of systems analysis in watershed management
Cai, X. M. and Vogel, R. and Ranjithan, R. (2013), Journal of Water Resources Planning and Management, 139(5), 461-463.
A generalized multistage optimization modeling framework for life cycle assessment-based integrated solid waste management
Levis, J. W. and Barlaz, M. A. and DeCarolis, J. F. and Ranjithan, S. R. (2013), Environmental Modelling Review & Software: With Environmental Data News, 50(), 51-65.
Coupling of logistic regression analysis and local search methods for characterization of water distribution system contaminant source
Liu, L. and Zechman, E. M. and Mahinthakumar, G. and Ranjithan, S. R. (2012), Engineering Applications of Artificial Intelligence, 25(2), 309-316.
Enhanced simulation-optimization approach using surrogate modeling for solving inverse problems
Mirghani, B. Y. and Zechman, E. M. and Ranjithan, R. S. and Mahinthakumar, G. (2012), Environmental Forensics, 13(4), 348-363.
Identifying contaminant sources for water distribution systems using a hybrid method
Liu, L. and Zechman, E. M. and Mahinthakumar, G. and Ranjithan, S. R. (2012), Civil Engineering and Environmental Systems, 29(2), 123-136.
Multivariate regression as an energy assessment tool in early building design
Hygh, J. S. and DeCarolis, J. F. and Hill, D. B. and Ranjithan, S. R. (2012), Building and Environment, 57(), 165-175.
Contamination source identification in water distribution systems using an adaptive dynamic optimization procedure
Liu, L. and Ranjithan, S. R. and Mahinthakumar, G. (2011), Journal of Water Resources Planning and Management, 137(2), 183-192.
Logistic regression analysis to estimate contaminant sources in water distribution systems
Liu, L. and Sankarasubramanian, A. and Ranjithan, S. R. (2011), Journal of Hydroinformatics, 13(3), 545-557.
Quantifying the greenhouse gas emission reductions associated with recycling hot mix asphalt
Levis, J. W. and Barlaz, M. A. and Tayebali, A. and Ranjithan, S. R. (2011), Road Materials and Pavement Design, 12(1), 57-77.
Subsurface characterization using a D-optimality based pilot point method
Jung, Y. and Ranjithan, R. S. and Mahinthakumar, G. (2011), Journal of Hydroinformatics, 13(4), 775-793.
Grid-enabled simulation-optimization framework for environmental characterization
Mirghani, B. Y. and Tryby, M. E. and Ranjithan, R. S. and Karonis, N. T. and Mahinthakumar, K. G. (2010), Journal of Computing in Civil Engineering, 24(6), 488-498.
Monitoring design for source identification in water distribution systems
Tryby, M. E. and Propato, M. and Ranjithan, S. R. (2010), Journal of Water Resources Planning and Management, 136(6), 637-646.
A solution framework for environmental characterization problems
Tryby, M. E. and Mirghani, B. Y. and Mahinthakumar, G. K. and Ranjithan, S. R. (2010), International Journal of High Performance Computing Applications, 24(3), 265-283.
An adaptive optimization technique for dynamic environments
Liu, L. and Ranjithan, S. R. (2010), Engineering Applications of Artificial Intelligence, 23(5), 772-779.
Application of artificial neural networks for estimating dynamic modulus of asphalt concrete
Far, M. S. S. and Underwood, B. S. and Ranjithan, S. R. and Kim, Y. R. and Jackson, N. (2009), Transportation Research Record, (2127), 173-186.
Contaminant source identification in water distribution networks under conditions of demand uncertainty
Vankayala, P. and Sankarasubramanian, A. and Ranjithan, S. R. and Mahinthakumar, G. (2009), Environmental Forensics, 10(3), 253-263.
Evolutionary computation-based methods for characterizing contaminant sources in a water distribution system
Zechman, E. M. and Ranjithan, S. R. (2009), Journal of Water Resources Planning and Management, 135(5), 334-343.
Use of life-cycle analysis to support solid waste management planning for Delaware
Kaplan, P. O. and Ranjithan, S. R. and Barlaz, M. A. (2009), Environmental Science & Technology, 43(5), 1264-1270.
A genetic algorithm-based procedure for 3D source identification at the Borden emplacement site
Jin, X. and Mahinthakumar, G. and Zechman, E. M. and Ranjithan, R. S. (2009), Journal of Hydroinformatics, 11(1), 51-64.
A parallel evolutionary strategy based simulation-optimization approach for solving groundwater source identification problems
Mirghani, B. Y. and Mahinthakumar, K. G. and Tryby, M. E. and Ranjithan, R. S. and Zechman, E. M. (2009), Advances in Water Resources, 32(9), 1373-1385.
Backcalculation of dynamic modulus from resilient modulus of asphalt concrete with an artificial neural network
Lacroix, A. and Kim, Y. R. and Ranjithan, S. R. (2008), Transportation Research Record, (2057), 107-113.
Closure to "Optimal design of redundant water distribution networks using a cluster of workstations" by Sujay V. Kumar, Troy A. Doby, John W. Baugh Jr., E. Downey Brill, and S. Ranji Ranjithan
Kumar, S. V. and Doby, T. A. and Baugh, J. W. and Brill, E. D. and Ranjithan, S. R. (2007), Journal of Water Resources Planning and Management, 133(6), 580-581.
Evolutionary computation-based approach for model error correction and calibration
Zechman, E. M. and Ranjithan, S. R. (2007), Advances in Water Resources, 30(5), 1360-1370.
Generating alternatives using evolutionary algorithms for water resources and environmental management problems
Zechman, E. M. and Ranjithan, S. R. (2007), Journal of Water Resources Planning and Management, 133(2), 156-165.
Parallel performance modeling using a genetic programming-based error correction procedure
Raghavachar, K. and Mahinthakumar, G. K. and Worley, P. and Zechman, E. and Ranjithan, R. (2007), Simulation, 83(7), 515-527.
Conjunctive use of models to design cost-effective ozone control strategies
Fu, J. S. and Brill, E. D. and Ranjithan, S. R. (2006), Journal of the Air & Waste Management Association, 56(6), 800-809.
Optimal design of redundant water distribution networks using a cluster of workstations
Kumar, S. V. and Doby, T. A. and Baugh, J. W. and Brill, E. D. and Ranjithan, S. R. (2006), Journal of Water Resources Planning and Management, 132(5), 374-384.
An adaptive cyberinfrastructure for threat management in urban water distribution systems
Mahinthakumar, K. and Von Laszewski, G. and Ranjithan, R. and Brill, D. and Uber, J. and Harrison, K. and Sreepathi, S. and Zechman, E. (2006), Lecture Notes in Computer Science, 3993(), 401-408.
Role of evolutionary computation in environmental and water resources systems analysis
Ranjithan, S. R. (2005), Journal of Water Resources Planning and Management, 131(1), 02-.
An evolutionary algorithm to generate alternatives (EAGA) for engineering optimization problems
Zechman, E. M. and Ranjithan, S. R. (2004), Engineering Optimization, 36(5), 539-553.
Are the "best" solutions to a real optimization problem always found in the noninferior set? Evolutionary algorithm for generating alternatives (EAGA)
Zechman, E. M. and Ranjithan, S. R. (2003), Lecture Notes in Computer Science, 2724(), 1622-1623.
Comparing recycling, composting and landfills
Barlaz, M. A. and Kaplan, P. O. and Ranjithan, S. R. and Rynk, R. (2003), BioCycle, 44(9), 60-.
Detention pond design and land use planning for watershed management
Harrell, L. J. and Ranjithan, S. R. (2003), Journal of Water Resources Planning and Management, 129(2), 98-106.
Evaluating environmental impacts of solid waste management alternatives
Barlaz, M. A. and Kaplan, P. O. and Ranjithan, S. R. and Rynk, R. (2003), BioCycle, 44(10), 52-56.
Evolutionary multiobjective optimization in watershed water quality management
Dorn, J. L. and Ranjithan, S. R. (2003), Lecture Notes in Computer Science, 2632(), 692-706.
Using the asphalt pavement layer condition assessment program - Case studies
Xu, B. and Ranjithan, S. R. and Kim, Y. R. (2003), Transportation Research Record, (1860), 66-75.
Life-cycle-based solid waste management. I: Model development
Solano, E. and Ranjithan, S. R. and Barlaz, M. A. and Brill, E. D. (2002), Journal of Environmental Engineering (New York, N.Y.), 128(10), 981-992.
Life-cycle-based solid waste management. II: Illustrative applications
Solano, E. and Dumas, R. D. and Harrison, K. W. and Ranjithan, S. R. and Barlaz, M. A. and Brill, E. D. (2002), Journal of Environmental Engineering (New York, N.Y.), 128(10), 993-1005.
New condition assessment procedure for asphalt pavement layers using failing weight deflectometer deflections
Xu, B. and Ranjithan, S. R. and Kim, Y. R. (2002), Transportation Research Record, (1806), 57-69.
New relationships between failing weight deflectometer deflections and asphalt pavement layer condition indicators
Xu, B. and Ranjithan, S. R. and Kim, Y. R. (2002), Transportation Research Record, (1806), 48-56.
Constraint method-based evolutionary algorithm (CMEA) for multiobjective optimization
Ranjithan, S. R. and Chetan, S. K. and Dakshina, H. K. (2001), Lecture Notes in Computer Science, 1993(), 299-313.
Decision support tool for life-cycle-based solid waste management
Harrison, K. W. and Dumas, R. D. and Solano, E. and Barlaz, M. A. and Brill, E. D. and Ranjithan, S. R. (2001), Journal of Computing in Civil Engineering, 15(1), 44-58.
Genetic algorithm approaches for adressing unmodeled objectives in optimization problems
Loghlin, L.H. and Ranjithan, S. and Brill, E.D. and Baugh, J.W. (2001), Engineering Optimization, 33(2001), 549-569.
Application of genetic algorithms for the design of ozone control strategies
Loughlin, D. H. and Ranjithan, S. R. and Baugh, J. W. and Brill, E. D. (2000), Journal of the Air & Waste Management Association, 50(6), 1050-1063.
Dynamic analysis-based approach to determine flexible pavement layer moduli using deflection basin parameters
Lee, Y. C. and Kim, Y. R. and Ranjithan, S. R. (1998), Transportation Research Record, (1639), 36-42.
Multiperiod highway improvement and construction scheduling: Model development and application
Eldessouki, W. and Rouphail, N. and Beja, M. and Ranjithan, S. R. (1998), Transportation Research Record, (1617), 96-104.
A hybrid optimization approach to thf estimation of distributed parameters in two-dimensional confined aquifers
Heidari, M. and Ranjithan, S. R. (1998), Journal of the American Water Resources Association, 34(4), 909-920.

View all publications via NC State Libraries

Grants

Resilience-based Modeling and Analysis to Support Master Planning in Drinking Water Infrastructure Systems
National Science Foundation (NSF)(8/15/18 - 7/31/20)
Maximizing Energy for Waste While Minimizing Life-Cycle Environmental Burdens and Cost
US Environmental Protection Agency (EPA)(12/09/14 - 2/28/19)
Water Distribution Modeling Experiments with the Cary Network
Sensus USA, Inc.(10/01/14 - 7/31/16)
Solid Waste Management Planning for Wake County in Consideration of Cost, Energy and Environmental Emissions
Wake County(7/01/14 - 12/31/17)
The NCSU Sustainable Cities Consortium: Addressing Grand Challenges in the Urban Environment
NCSU Office of Research, Innovation, and Economic Development(7/01/14 - 6/30/15)
SAVI: International Institute for Solid Waste Management Life-Cycle Modeling
National Science Foundation (NSF)(8/15/14 - 7/31/19)
EFRI-PSBR:Closing the Loop- Towards a PSBR Design Framework for Self-Sustained Marine Microalgal-Based Fuel Production
National Science Foundation (NSF)(9/01/13 - 8/31/19)
Graduate Industrial Traineeship for Shahrzad Azizzadeh
SAS Institute Inc.(1/10/11 - 12/23/11)
AN ADAPTIVE LEAK DETECTION AND RISK ANALYSIS FRAMEWORK FOR URBAN WATER DISTRIBUTION SYSTEMS
National Science Foundation (NSF)(8/15/11 - 7/31/16)
Building Design Process Innovation for Enhancing Energy and Environmental Sustainability
NCSU Strategic Research Initiative(7/01/10 - 6/30/11)