Publications & Patents
Since 2012, UrbSys Lab has received competitive funding from federal agencies, industry partners, and institutional programs to advance research in sustainable buildings, energy systems, artificial intelligence, and smart urban technologies.
The Hierarchy of Energy in Architecture: Emergy Analysis
Smart Cities: Foundations, Principles, and Applications
Featured Books
Explore two featured books from UrbSys Lab’s publications in sustainable and intelligent built environments.
Research Funding
Since 2012, UrbSys Lab has secured competitive research funding to advance innovation in building science, artificial intelligence, energy systems, smart sensing, and sustainable urban technologies. These investments have supported interdisciplinary research, technology development, and real-world solutions for more resilient and intelligent built environments.
Asterisks (*) indicate competitive sponsored research awards secured as Principal Investigator (PI). Listed Ph.D. fellowship awards encompass full graduate tuition waivers and monthly stipends, calculated using institutional cost-of-education standards. Commercialized Intellectual Property (IP) and related awards are noted where direct contract values apply.
|
Date (s) |
Sponsor |
Sponsor |
|---|---|---|
|
2012 |
UF Opportunity Seed Fund |
A Dynamic-BIM Workbench for Low/ Net Zero Energy Buildings* |
|
2013 |
Green Building Initiative (GBI) |
Energy Assessment & Building Energy Performance Options of Green Globes for New Construction* |
|
2013-2017 |
Rinker School – Supported by US Dept of Energy (DOE) |
PhD Fellowships |
|
2013-2016 |
Rinker School |
GW Robinson Award for Master’s student* |
|
2014-2018 |
Rinker School |
Rinker PhD Fellowship |
|
2015 |
Florida Energy Systems Consortium |
Buildings and Energy: Design and Operation vs. Sustainability* |
|
2015 |
National Science Foundation (CPS Early Career |
Dynamic Sustainability Information Modeling (dSIM) Platform: Towards Integrative |
|
2015-2017 |
US Dept. of State (DOS) |
A Critical Regionalist Approach to Sustainable Urban Development |
|
2015-2019 |
Rinker School |
Rinker PhD Fellowship |
|
2016 |
WinBuild Inc./ US. Dept of Energy (DOE) |
EnergyPlus Training of South African National Buildings* |
|
2016 |
Walt Disney Imagineering |
Roofing Thermal Analysis using HEAT3* |
|
2016-2018 |
National Science Foundation |
EAGER: Preventive Maintenance of HVAC Systems using Audio-Sensing* |
|
2017 |
National Research Council Canada |
Impact of Thermal Bridging Climate Resilient Roofs* |
|
2017-2018 |
UF – City of Gainesville |
Urban Energy Model for Smart City Informatics* |
|
2017-2021 |
US Dept. of Housing and Urban Development (HUD) |
Project Re-Envision* link |
|
2018-2020 |
US Dept. of Veterans |
CODY: Assistive Technology for SAH Assessments |
|
2018-2022 |
City of Gainesville |
BIM-based Automated Code Review* |
|
2018-2022 |
Rinker School |
PhD Fellowships |
|
2019-2021 |
US Dept. of Housing and Urban Development (HUD) |
Advanced Technologies for Rapid Manufacturing of Post-Disaster Housing* |
|
2019-2021 |
Daikin USA, Silicon Valley |
AI-based HVAC Analysis for Daikin Open Innovation Lab* |
|
2020-2021 |
UF Innovate |
Health Impact Indoor Environmental Quality Smart Air Multi-Sensor Device* Intellectual Property: |
|
2020-2021 |
ClimateWorks Foundation |
Million Cool Roofs Challenge – University of Pendidikan Indonesia* |
|
2020-2022 |
NSF |
SCC-PG: Flood Hazard Management & Practitioner Information Network for Florida* link
|
|
2021-2022 |
UF Innovate |
Semi-automated BIM-based Building Permit Code Checking Software* |
|
2021-2022 |
National Oceanic & Atmospheric Admin. (NOAA) |
Southeastern Health + Housing Network |
|
2021-2023 |
Virtual Review Assist |
Semi-automated Permit* (fundraised) Intellectual Property: |
|
2021-2023 |
Virtual Review Assist |
Semi-automated Permit* (fundraised) |
|
2022-2023 |
UF Innovate |
Solar and Thermally Insulating Coating* |
|
2022-2023 |
VRA Foundation |
Semi-automated Permit* (fundraised) |
|
2022-2023 |
US Dept. of Energy (DOE) |
Low-cost Exterior Window Attachments |
|
2022-2023 |
ClimateWorks Foundation |
Million Cool Roofs Challenge – University of Pendidikan Indonesia, link |
|
2023-2025 |
ClimateWorks Foundation |
Million Cool Roofs Challenge – University of Pendidikan Indonesia, link |
|
2023-2026 |
UF Office of Information Technology |
Transforming BIM into Digital Twin: From Architectural Design to Construction and Maintenance |
|
2025-2027 |
ClimateWorks Foundation |
Million Cool Roofs Challenge – University of Pendidikan Indonesia |
|
2025-2028 |
UF President’s Strategic Funds |
AI-Enabled Smart Cities Initiative* |
|
2025-2029 |
DCP College |
PhD Fellowships* |
|
2025-2027 |
UF Office of Research |
Fenestration Testing Lab (UF Research Equipment Seed Fund) |
|
2025-2029 |
Jeld-Wen, Inc. |
Envelope Test Buildings* link (fundraised) |
|
2025-2027 |
UF 653 Project |
Reflectometer* (fundraised) |
Intellectual Property (IP) Rights & Patents
Invention Disclosures:
Non-Invasive Method to Determine the Argon Gas Content and Thermal Properties of Double-Glazing. Systems and Methods for Transforming Building Information Models (BIM) into Digital Twins
Book Publications
Books, Co-Authored
ISBN Paperback: 9781138803534, ISBN Hardback: 9781138803527, ISBN eBook: 9781315753676
Books, Edited
Books, Chapters
ISBN Print: 978-1-56700-279-9 , ISBN Online: 978-1-56700-288-1
Refereed Publications
Explore a collection of 111 refereed publications, including 53 peer-reviewed journal articles and 58 refereed conference papers, covering research in sustainable buildings, artificial intelligence, energy systems, digital construction, and the built environment.
2026
Balakrishnan D, Srinivasan R S, Anumba C, Issa R, Ochoa K, and Villanueva I. A Robust, Generic Bi-Directional Connector to Integrate NVIDIA™ Omniverse and EnergyPlus™ for Near Real-time Building Energy Simulation and Visualization. International Conference on Industrialized Construction 2026.
Paramita B and Srinivasan R S. Scaling RAFLESIA® through Industrialized Construction and Regulatory Integration in Indonesia. International Conference on Industrialized Construction 2026.
Shivam R and Srinivasan R S. Rethinking Data Center Delivery in the UK: A Systems Approach to Planning, Infrastructure and Construction Constraints. International Conference on Industrialized Construction 2026.
Amoyaw-Brown, Anumba C, Kio P, and Srinivasan R S. Configure-to-Order HVAC Strategies for Energy-Efficient Modular K-12 Schools. International Conference on Industrialized Construction 2026.
Wang D, Balakrishnan D, Srinivasan R S, and Wang S. Built Environment Reasoning from Remote Sensing Imagery using Large Vision-Language Models. International Conference on Industrialized Construction 2026.
Zhang H, Srinivasan R S, Chen C, Yang X, Ganesan V, and Chen M. 2026. Multi-scenario Assessment of Living-wall Effects on Building Air Purification, Noise Attenuation, and Thermal Insulation using Quantum Machine Learning. Building and Environment, 114492.
https://doi.org/10.1016/j.buildenv.2026.114492
Luo Y, Gopinadhan J, Grimaldi N S, Lu X, Ahrentzen S, Srinivasan R S, and Hu B. 2026. Evaluation of Home Modifications for Individuals with Mobility Impairments using Virtual Reality and Wearable Sensors. Disability and Rehabilitation: Assistive Technology, 21 (1), 309-324. https://doi.org/10.1080/17483107.2025.2467044
Wang D, Balakrishnan D, Srinivasan R S, and Wang S. 2026. Built Environment Reasoning from Remote Sensing Imagery using Large Vision-Language Models. arXiv preprint arXiv:2605.08404. https://arxiv.org/abs/2605.08404
2025
Zhang H, Srinivasan R S, Yang X, Ganesan V, Zhang J, and Zhang H. 2025. Quantifying Indoor Air Quality Determinants in Green-Certified Buildings using a Hybrid Machine Learning Method: A Case Study in Florida. Indoor Air, 2025 (1), 2150075. https://doi.org/10.1155/ina/2150075
Kakade S, Nalawala Q, Srinivasan R S, and Rinker M. 2025. Preliminary Research in UAV-based Estimation of the Lowest Floor Elevation for Flood Hazard Pre-Disaster Management. SENVAR 20. The 20th International Conference on Sustainable Environment & Architecture.
2024
Arbulu M, Oregi X, Etxepare L, Fuster A, and Srinivasan R S. Decarbonisation of the Basque Country Residential Stock by a Holistic Enviro-economic Assessment of Renovation Strategies under the Life Cycle Thinking for Climate Risk Mitigation. Sustainable Cities and Society, Vol 117. https://doi.org/10.1016/j.scs.2024.105963
Zhang H, Srinivasan R S, Yang X, Ganesan V, Zhang H. Diurnal Variation of Indoor Air Pollutants and their Influencing Factors in Educational Buildings: A Case Study using LASSO-based ANNs. Atmospheric Environment, vol 333. https://doi.org/10.1016/j.atmosenv.2024.120673
Zhang H, Srinivasan R S, Yang X, Ganesan V, Chen H, Zhang H. An Attention Temporal Convolutional Network-based Hybrid Approach to Simulating Indoor Air Pollutants and their Determinants in Classroom and Office Spaces. Journal of Building Engineering, vol 93. https://doi.org/10.1016/j.jobe.2024.109873
Onatayo D A, Aggarwal R, Srinivasan R S, Shah B. A Data-driven Approach to Thermal Transmittance (U-factor) Calculation of Double-glazed with or without Inert Gases between the Panes. Energy & Buildings Journal, Vol. 305, Feb 2024. https://doi.org/10.1016/j.enbuild.2024.113907
2023
Onatayo D A, Srinivasan R S, and Shah B. 2023. Ultraviolet Radiation Transmission in Buildings’ Fenestration: Part II, Exploring Digital Imaging, UV Photography, Image Processing, and Computer Vision Techniques. Buildings 13 (8), 1922. https://doi.org/10.3390/buildings13081922
Onatayo D A, Srinivasan R S, and Shah B. 2023. Ultraviolet Radiation Transmission in Buildings’ Fenestration: Part I, Detection Methods and Approaches using Spectrophotometer and Radiometer. Buildings 13 (7), 1670. https://doi.org/10.3390/buildings13071670
Wang Z, Liang Z, Zeng R, Yuan H, and Srinivasan R S. 2023. Identifying the Optimal Heterogenous Ensemble Learning Model for Building Energy Prediction using the Exhaustive Search Method. Energy and Buildings 281, 112763. https://doi.org/10.1016/j.enbuild.2022.112763
Carney J, Srinivasan R S, Bender S, O’Dell B, Sharston R, and Chini R. 2023. Advanced Modular Housing Design. HUD Cityscape 25 (1), 37-56. https://www.jstor.org/stable/48725032
2022
Ramadhan T, Paramita B, and Srinivasan R S. 2022. Study of Cost and Construction Speed of Cladding Wall for Lightweight Steel Frame (LSF). Buildings 12 (11), 1958. https://doi.org/10.3390/buildings12111958
Zhang H, Srinivasan R S, Yang X, Ahrentzen S, Coker E S, and Alwisy A. 2022. Factors Influencing Indoor Air Pollution I Buildings using PCA-LMBP Neural Network: A Case Study of a University Campus. Building and Environment 225, 109643. https://doi.org/10.1016/j.buildenv.2022.109643
Wang Z, Xia L, Yuan H, Srinivasan R S, and Song X. 2022. Principles, Research Status, and Prospects of Feature Engineering for Data-driven Building Energy Prediction: A Comprehensive Review. Journal of Building Engineering 105028. https://doi.org/10.1016/j.jobe.2022.105028
Kumar T, Srinivasan R S, and Mani M. 2022. An Emergy-based Approach to Evaluating the Effectiveness of Integrating IoT-based Sensing Systems in Smart Buildings. Sustainable Energy Technologies and Assessments. 52(102225). https://doi.org/10.1016/j.seta.2022.102225
Valipoor S, Ahrentzen S, Srinivasan R S, Akiely F, Gopinadhan J, Okun M, Ramirez-Zamora A, and Shukla A. 2022. The Use of Virtual Reality to Modify and Personalize Interior Home Features in Parkinson’s Disease. Experimental Gerontology. 159 (111702). https://doi.org/10.1016/j.exger.2022.111702
Im H, Srinivasan R S, Maxwell D, Steiner R, and Karmakar S. 2022. The Impact of Climate Change on a University Campus Energy Use: Use of Machine Learning and Building Characteristics. Buildings. 12(2): https://doi.org/10.3390/buildings12020108
2021
Woo J, Fatima R, Kibert C J, Newman R E, Tian Y, and Srinivasan R S. 2021. Applying Blockchain Technology for Building Energy Performance Measurement, Reporting, and Verification (MRV) and the Carbon Credit Market: A Review of the Literature. Building and Environment 205, 108199. https://doi.org/10.1016/j.buildenv.2021.108199
Zhang H, Yang X, and Srinivasan R S. 2021. Simulation and Analysis of Indoor Air Quality in Florida Using Time Series Regression (TSR) and Artificial Neural Networks (ANN) Models. Symmetry. 13(6): 952. https://doi.org/10.3390/sym13060952
Zhang H(g), and Srinivasan R S. 2021. A Biplot-based PCA Approach to Study the Relations Between Indoor and Outdoor Air Pollutants using Case study Buildings. Buildings. 11(5): 218. https://doi.org/10.3390/buildings11050218
Wang Z, Zhang R, Yuan H, Liu J, and Srinivasan R S. 2021. Practical Issues in Implementing Machine Learning Models for Building Energy Efficiency: Moving Beyond Obstacles. Renewable and Sustainable Energy Reviews. 143: https://doi.org/10.1016/j.rser.2021.110929
Jia M, Srinivasan R S, Ries R, Bharathy G, and Weyer N. 2021. Investigating the Impact of Actual and Modeled Occupant Behavior Information Input to Building Performance Simulation. Buildings. 11(1): https://doi.org/10.3390/buildings1101003
Zhang H, Ganesan V, and Srinivasan R S. 2021. Low Cost, Multi-Pollutant Sensing System using Raspberry Pi for Realtime Indoor Air and Environmental Condition Monitoring. Sustainability. 13(1): 370. https://doi.org/10.3390/su13010370
Im H, and Srinivasan R S. 2021. The Impact of Climate Change on a University Campus Energy Use: Use of Machine Learning, Future Weather Data, and Building Characteristics. In Artificial Intelligence in Architecture, Engineering and Construction (AEC), March 24-45, 2021.
2020
Zhang H, and Srinivasan R S. 2020. A Systematic Review of Air Quality Sensors, Guidelines, and Measurement Studies for Indoor Air Quality Management. Sustainability. 12(21): 9045. https://doi.org/10.3390/su12219045
Jia M, and Srinivasan R S. 2020. Building Performance Evaluation using Coupled Simulation of EnergyPlus™ and an Occupant Behavior Model. Sustainability. 12(10): 4086. https://doi.org/10.3390/su12104086
Zhang J, Srinivasan R S, and Peng C. 2020. Ecological Assessment of Clay Brick Manufacturing in China using Emergy Analysis. Buildings. 10(11): 190. https://doi.org/10.3390/buildings10110190
Fathi S, Srinivasan R S, Kibert C J, Steiner R L, and Demirezen E. 2020. AI-based Campus Energy Use Prediction for Assessing the Effects of Climate Change. Sustainability. 12: 3223. http://dx.doi.org/10.3390/su12083223
Fathi S, Fenner A, and Srinivasan R S. 2020. Machine Learning Applications in Urban Building Energy Performance Forecasting: A Systematic Review. Renewable and Sustainable Energy Reviews. 133: https://doi.org/10.1016/j.rser.2020.110287
Zhang J, Srinivasan R S, and Peng C. 2020. A Systematic Approach to Calculate Unit Emergy Values of Cement Manufacturing in China Using Consumption Quota of Dry and Wet Raw Materials. Buildings. 10(7): 128. https://doi.org/10.3390/buildings10070128
Im H, Srinivasan R S, and Jia M. 2020. Energy Consumption Scenarios to Prepare for the Climate Change with Regression Model. Construction Research Congress (CRC), Tempe, AZ. March 8-10, 2020.
Im H, Srinivasan R S, and Jia M. 2020. Building Energy Use Prediction owing to Climate Change: A Case Study of a University Campus. he 1st Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization (UrbSys) Workshop, ACM BuildSys, Nov 10-14, New York, NY, US.
Fathi S, and Srinivasan R S. 2020. Climate Change Impacts on Campus Buildings Energy Use: An AI-based Scenario Analysis. The 1st Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization (UrbSys) Workshop, ACM BuildSys, Nov 10-14, New York, NY, US.
2019
Jia M, Srinivasan R S, Ries R, Weyer N, and Bharathy G. 2019. A Systematic Development and Validation Approach to a Novel Agent-based Modeling of Occupant Behaviors in Commercial Buildings. Energy and Buildings. 199: 352-367. https://doi.org/10.1016/j.enbuild.2019.07.009
Jia M, Komeily A, Wang Y, and Srinivasan R S. 2019. Adopting Internet of Things for the Development of Smart Buildings: A Review of Enabling Technologies and Applications. Automation in Construction. 101: 111-126. https://doi.org/10.1016/j.autcon.2019.01.023
Fathi S, Srinivasan R S, and Ries R. 2019. Campus Energy Demand Prediction (CEDP) Using Artificial Intelligence to Study the Effect of Climate Change. Building Simulation, 2019. Rome, Italy.
Messaoudi M, Nawari N, and Srinivasan R S. 2019. Virtual Building Permitting Framework for the State of Florida: Data Collection and Analysis. The 2019 ASCE International Conference on Computing in Civil Engineering, GeorgiaTech, Atlanta, US.
2018
Wang Z, Wang Y, and Srinivasan R S. 2018. Random Forest-based Hourly Building Energy Prediction. Energy and Buildings. 171(15): 11-25. https://doi.org/10.1016/j.enbuild.2018.04.008
Jia M, Srinivasan R S, Ries R, and Bharathy G. 2018. Exploring the Validity of Occupant Behavior Model for Improving Office Building Energy Simulation. Winter Simulation Conference 2018, Gothenburg, Sweden.
Jia M, Srinivasan R S, Ries R, and Bharathy G. 2018. A Framework of Occupant Behavior Modeling and Data Sensing for Improving Building Energy Simulation. SimAUD 2018 Conference, Delft, The Netherlands.
2017
Yi H, Srinivasan R S, Braham W W, and Tilley D. 2017. An Ecological Understanding of Net Zero Energy Building: Evaluation of Sustainability based on Emergy Theory. Journal of Cleaner Production. 143(1): 654-671. https://doi.org/10.1016/j.jclepro.2016.12.059
Wang Z, and Srinivasan R S. 2017. A Review of Artificial Intelligence based Building Energy Use Prediction: Contrasting the Capabilities of Single and Ensemble Prediction Models. Renewable and Sustainable Energy Reviews. 75: 796-808. https://doi.org/10.1016/j.rser.2016.10.079
Jia M, Srinivasan R S, and Raheem A A. 2017. From Occupancy to Occupant Behavior: An Analytical Survey of Data Acquisition Technologies, Modeling Methodologies, and Simulation Coupling Mechanisms for Building Energy Efficiency. Renewable and Sustainable Energy Reviews. 2017: 525-540. https://doi.org/10.1016/j.rser.2016.10.011
Mahajan V, Srinivasan R S, Chini A, and Ries R. 2017. Space-Level Plug-Load Densities of Educational Buildings on University Campuses. Journal of Energy Engineering. 143(2): 1-12. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000388
Srinivasan R S, Islam M T, Islam B, Wang Z, Sookoor T, and Nirjon S. 2017. Preventive Maintenance of Centralized HVAC Systems: Use of Acoustic Sensors, Feature Extraction, and Unsupervised Learning. Fifteenth International Building Performance Simulation Association (IBPSA) Conference.
Mengda J, Srinivasan R S, Bharathy G, Silverman B S, and Weyer N. 2017. An Agent-based Model Approach for Simulating Interactions between Occupants and Building Systems. Fifteenth International Building Performance Simulation Association (IBPSA) Conference.
Wang, S, Srinivasan, R.S., and Zheng, P. 2017. A Novel Ensemble Learning Approach to Support Building Energy Use Prediction. Energy and Buildings. 159(15): 109-122. https://doi.org/10.1016/j.enbuild.2017.10.085
Wang, Z, and Srinivasan, R.S.. 2017. A Review of Artificial Intelligence based Building Energy Use Prediction: Contrasting the Capabilities of Single and Ensemble Prediction Models. Renewable and Sustainable Energy Reviews. 75: 796-808. https://doi.org/10.1016/j.rser.2016.10.079
Jia, M, Raheem, A.A, and Srinivasan, R.S. 2017. From Occupancy to Occupant Behavior: An Analytical Survey of Data Acquisition Technologies, Modeling Methodologies, and Simulation Coupling Mechanisms for Building Energy Efficiency. Renewable and Sustainable Energy Reviews. 68(1): 525-540. https://doi.org/10.1016/j.rser.2016.10.011
Srinivasan, R.S., Islam, M.T, Islam, B, Wang, Z, Sookoor, R, and Nirjon, S. 2017. Preventive Maintenance of Centralized HVAC Systems: Use of Acoustic Sensors, Feature Extraction, and Unsupervised Learning. Building Simulation 2017.
2016
Wang Z, Srinivasan R S, and Shi J. 2016. Artificial Intelligence Models for Improved Prediction of Residential Heating. ASCE Journal of Energy Engineering. 142(4): 1-9. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000342
Salcido J C, Raheem A A, and Srinivasan R S. 2016. Comparison of Embodied Energy and Environmental Impact of Alternative Materials used in Reticulated Dome Construction. Building and Environment. 96(1): 22-34. https://doi.org/10.1016/j.buildenv.2015.11.010
Morrison M, Srinivasan R S, and Ries R R. 2016. Complementary Life Cycle Assessment of Wastewater Treatment Plants: An Integrated Approach to Comprehensive Upstream and Downstream Impact Assessments and its Extension to Building-level Wastewater Generation. Sustainable Cities and Society. 23: 37-49. https://doi.org/10.1016/j.scs.2016.02.013
Dongsoo K and Srinivasan R S. 2016. Toward Urban-scale Assessments of Building Environmental Impacts: A Review. Sixteenth International Conference on Computing in Civil and Building Engineering.
Dongsoo K, Srinivasan R S, and Chini A. 2016. Prediction of Building Energy Use and Emissions for Implementing Energy Efficiency and Renewable Energy Programs: Toward Sustainable Cities. Sixteenth International Conference on Computing in Civil and Building Engineering.
Gulati R, Suddapalli S, and Srinivasan R S. 2016. Roof Fasteners for Metal Deck Roofing Systems: Energy Impact on Re-roofing and Re-Cover Scenarios. Thirty First Roof Construction Institute (RCI) International Convention and Trade Show. 55-67.
Zeng R, Chini A, Srinivasan R S, and Jiang P. 2016. Energy Efficiency of Smart Windows Made of Photonic Crystal. International Journal of Construction Management. 1-15. https://doi.org/10.1080/15623599.2016.1207368
Komeily A and Srinivasan R S. 2016. What Is Neighborhood Context and Why Does It Matter In Sustainability Assessment?. Procedia Engineering. 145: 876-883. https://doi.org/10.1016/j.proeng.2016.04.114
Komeily A, Salili S M, Srinivasan R S, Shahsavan H, and Jakli A. 2016. Application of Wide-Band Liquid Crystal Reflective Windows in Building Energy Efficiency: A Case-study of Educational Buildings. Forty Seventh Winter Simulation Conference (WSC). 3213-3224.
2015
Wang Z, and Srinivasan R S. 2015. Classification of Household Appliance Operation Cycles: A Case-study Approach. Energies. 8: 10522-10536. https://doi.org/10.3390/en80910522
Srinivasan R S, Campbell D E, and Wang W. 2015. Renewable Substitutability Index: Maximizing Renewable Resource Use in Buildings. Buildings. 5(2): 581-596. https://doi.org/10.3390/buildings5020581
Agdas D, Srinivasan R S, Frost K, and Masters F J. 2015. Energy Use Assessment of Education Buildings: Toward a Campus-wide Sustainable Energy Policy. Sustainable Cities and Society. 17(1): 15-21. https://doi.org/10.1016/j.scs.2015.03.001
Yi H, Srinivasan R S, and Braham W W. 2015. An Integrated Energy-Emergy Approach to Building Form Optimization: Use of EnergyPlus, Emergy Analysis, and Taguchi-Regression Method. Building and Environment. 84: 89-104. https://doi:10.1016/j.buildenv.2014.10.013
Komeily A and Srinivasan R S. 2015. A Need for Balanced Approach to Neighborhood Sustainability Assessment Tools: A Critical Review and Analysis. Sustainable Cities and Society. 18: 32-43. https://doi:10.1016/j.scs.2015.05.004
Wang Z and Srinivasan R S. 2015. A Review of Artificial Intelligence-based Building Energy Prediction with a Focus on Ensemble Prediction Models. Forty Seventh Winter Simulation Conference (WSC). 3438-3448.
Jia M and Srinivasan R S. 2015. Occupant Behavior Modeling for Smart Buildings: A Critical Review of Data Acquisition Technologies and Modeling Methodologies. Forty Sixth Winter Simulation Conference (WSC). 3345-3355.
Fathi S and Srinivasan R S. 2015. Critical Analysis of Energy Performance of Educational Buildings in a University Campus Setting using Statistical and Energy Modeling Approaches. Forty Sixth Winter Simulation Conference (WSC). 3356-3366.
Wang Z and Srinivasan R S. 2015. Artificial Intelligence- based Prediction of Residential Space Heating: Use of Dynamic Human Behaviors for Improving Prediction Accuracy. ASCE International Workshop on Computing in Civil Engineering.
Komeily A and Srinivasan R S. 2015. Geographic Information Systems (GIS)- based Decision Support System for Smart Project Location. ASCE International Workshop on Computing in Civil Engineering.
Srinivasan R S, Ingwersen W, Trucco C, Ries R J, and Campbell D E. 2014. Comparing Energy-based Indicators used in Life Cycle Assessment Tools for Buildings. Building and Environment. 79: 138-151. https://doi:10.1016/j.buildenv.2014.05.006
2014
Srinivasan R S, Thakur S Parmar M, and Ahmed I. 2014. Towards the Implementation of a 3D Heat Transfer Analysis in Dynamic-BIM Workbench. Forty Fifth inter Simulation Conference (WSC). 3224-3235.
Pasunuru R, Hakim H, Sakhalkar A, Kibert C J, and Srinivasan R S. 2014. Towards New Zero Energy Schools – A Case Study Approach. Forty Fifth inter Simulation Conference (WSC). 3248-3259.
Agdas D and Srinivasan R S. 2014. Parallel Computing in Building Energy Simulation. Forty Fifth Winter Simulation Conference (WSC). 3167-3175.
2013
Kibert C J and Srinivasan R S. 2013. Net Zero: Rational Performance Targets for High Performance Buildings. Seventh International Conference on Management Science and Engineering Management; Lecture Notes in Electrical Engineering. 242: 971-986. https://link.springer.com/chapter/10.1007/978-3-642-40081-0_82
Kibert C J and Srinivasan R S. 2013. Net Zero: A Novel Approach for Setting Sustainability Targets for the Built Environment. Advances in Building Sciences Conference.
Srinivasan R S, Kibert C J, Fishwick P, Thakur S, Lakshmanan J, Ezzell Z, Parmar M, and Ahmed I. 2013. Dynamic-BIM (D-BIM) Workbench for Integrated Building Performance Assessments. Advances in Building Sciences Conference.
Srinivasan R S, Campbell D E, Lakshmanan J, Trucco C, and Acosta P. 2013. Emergy-LCA Synthesis Models for Built Environments: Challenges and Opportunities. Advances in Building Sciences Conference.
2012
Srinivasan R S, Braham W W, Campbell D E, and Curcija C D. 2012. Re(de)fining Net Zero Energy: Renewable Emergy Balance of Environmental Building Design. Building and Environment. 47: 300-315. https://doi:10.1016/j.buildenv.2014.05.006
Srinivasan R S, Kibert C J, Fishwick P, Ezzell Z, Thakur S, Ahmed I, and Lakshmanan J. 2012. Preliminary Researches in Dynamic-BIM (D-BIM) Workbench Development. Forty Third Winter Simulation Conference (WSC). 594-605.
Bhandari M and Srinivasan R S. 2012. Window-Wall Interface Correction Factors: Thermal Modeling of Integrated Fenestration and Opaque Envelope Systems for Improved Prediction of Energy Use. SimBuild Conference. 71-74.
2011
Srinivasan R S, Lakshmanan J, Santosa E, and Srivastav D. 2011. Plug Load Densities for Energy Analysis: K-12 Schools. Energy and Buildings. 43 (11): 3289-3294. https://doi:10.1016/j.enbuild.2011.08.030
Srinivasan R S, Braham W W, Campbell D E, and Curcija D C. 2011. Re(de)fining Net Zero Energy: Renewable Emergy Balance of Environmental Building Design. International Building Performance Simulation Association (IBSPA) Conference.
Srinivasan R S, Braham W W, Campbell D E, and Curcija D C. 2011. Building Envelope Optimization using Emergy Analysis in Environmental Building Design. International Building Performance Simulation Association (IBPSA) Conference.
Srinivasan R S, Braham W W, Campbell D E, and Curcija D C. 2011. Sustainability Assessment Frameworks, Evaluation Tools and Metrics for Building and Environment – A Review. International Building Performance Simulation Association (IBPSA) Conference.
Srinivasan R S, Lakshmanan J, and Srivastav D. 2011. Calibrated Simulation of an Existing Convention Center Building: The Role of Event Calendar and Energy Modeling Software. International Building Performance Simulation Association (IBPSA) Conference.
Srinivasan R S, Lakshmanan J, Srivastav D, and Santosa E. 2011. Benchmarking Plug-load Density for K-12 Schools. In Proceedings of the Twelfth International Building Performance Simulation Association Conference, November 14-16, 2011, Sydney, Australia.
Srinivasan R S, Braham W W, Campbell D E, and Curcija D C. 2011. Energy Balance Verification Protocol for Net Zero Energy Buildings. Forty Second Winter Simulation Conference (WSC). 3365-3377.
2007
Srinivasan R S, and Malkawi A M. 2007. An Approach to Real-Time Airflow Simulation and Immersive Visualization. International Conference on Computer Graphics and Vision.
Srinivasan R S, and Malkawi A M. 2007. Toward Real-Time Airflow Simulations for Immersive Visualization using Adaptive Localization Method. International Building Performance Simulation Association (IBPSA) Conference.
Malkawi A M and Srinivasan R S. 2007. Energy Based Decision Support System for Facilities Management: Integration of Data/Web Mining, Knowledge Base and Thermal Simulation. International Building Performance Simulation Association (IBPSA) Conference.
2006
Srinivasan R S, and Malkawi A M. 2006. Real-time Simulations using Learning Algorithms for Immersive Data Visualization in Buildings. International Journal of Architectural Computing. 3 (3): 256-280. http://cumincad.architexturez.net/doc/oai-cumincadworks.id-ijac20053301
Lakaemper R, Malkawi A M, Srinivasan R S, and Latecki L J. 2006. Mobile Robot Mapping and Immersive Building Simulation. International Conference on Computer Graphics.
2005
Malkawi A M and Srinivasan R S. 2005. A New Paradigm for Human-Building Interactions: The Use of CFD and Augmented Reality. Automation in Construction. 14(1): 71-84.
https://doi.org/10.1016/j.autcon.2004.08.001
Malkawi A M, Srinivasan R S, and Veer V J. 2005. Interfacing with Building Data: Toward an Integrated Mobile Augmented Environment. International Building Performance Simulation Association Conference.
Malkawi A M and Srinivasan R S. 2005. Interfacing with the Real Space and its Performance. International Journal of Architectural Computing. 3(1): 43-56.
http://cumincad.architexturez.net/system/files/pdf/ijac20053103.pdf
Malkawi A M, Srinivasan R S, Yi Y, and Choudhary R. 2005. Decision Support and Design Evolution: Integrating Genetic Algorithms, CFD and Visualization. Automation in Construction. 14(1): 33-44. https://doi.org/10.1016/j.autcon.2004.06.004
Srinivasan R S, and Malkawi A M. 2005. Reinforcement Learning and Real-time Thermal Performance Visualization in Buildings. Association for CAADRIA.
2004
Srinivasan R S, and Malkawi A M. 2004. The Use of Learning Algorithms for Real-time Immersive Data Visualization in Buildings. Iberoamerican Congress of Digital Graphic (SIGRADI) Conference.
Malkawi A M and Srinivasan R S. 2004. Building Performance Visualization Using Augmented Reality. International Conference on Computer Graphics and Vision.
Malkawi A M, Srinivasan R S, Jackson B, Chan K H, and Angelov S. 2004. Interactive, Immersive Visualization for Indoor Environments: Use of Augmented Reality, Human-Computer Interaction and Building Simulation. International Conference on Information Visualization.
Malkawi A M and Srinivasan R S. 2004. Multimodal Human-Computer Interaction for Immersive Visualization: Integrating Speech-Gesture Recognitions and Augmented Reality for Indoor Environments. IASTED Conference on Computer Graphics and Imaging.
2003
Malkawi A M, Srinivasan R S, Yi Y, and Choudhary R. 2003. Performance-based Design Evolution: The Use of Genetic Algorithms and CFD. Eight IBPSA Conference Held in Eindhoven, The Netherlands. 793-798.
2001
Fukai D and Srinivasan R S. 2001. A Visual Decision Tool for Design and Construction Management. Sixth International Conference on Information Visualization. 376-381.
Fukai D and Srinivasan R S. 2001. Piece-based Construction Information System (PCIS) Revisited: A Visual Database for Design and Construction. Twenty First Annual Conference of the Association for Computer-Aided Design in Architecture. 372-379.