Grants, Publications & Patents

Publications are maintained on Google Scholar (canonical, always current) and ResearchGate.

External Research Grants & Strategic Funding (2012–2029)

• 2025–2029 Jeld-Wen, Inc. — Envelope Test Buildings
• 2025–2029 UF College of Design, Construction and Planning — PhD Fellowships
• 2025–2028 UF President’s Strategic Funds — AI-Enabled Smart Cities Initiative
• 2025–2027 ClimateWorks Foundation — Million Cool Roofs Challenge, Universitas Pendidikan Indonesia
• 2025–2027 UF Office of Research — Fenestration Testing Lab, Research Equipment Seed Fund
• 2025–2027 UF 653 Project — Reflectometer
• 2023–2026 UF Office of Information Technology — Transforming BIM into Digital Twin: From Architectural Design to Construction and Maintenance
• 2023–2025 ClimateWorks Foundation — Million Cool Roofs Challenge, Universitas Pendidikan Indonesia
• 2022–2023 U.S. Department of Energy — Low-cost Exterior Window Attachments
• 2022–2023 VRA Foundation — Semi-automated Permit
• 2022–2023 ClimateWorks Foundation — Million Cool Roofs Challenge, Universitas Pendidikan Indonesia
• 2022–2023 UF Innovate — Solar and Thermally Insulating Coating
• 2021–2023 Virtual Review Assist, Inc. (startup) — Semi-automated Permit associated IP includes US Patents 12,020,339 and 12,572,992; UF Innovate “Innovation of the Year” Award (2022) for Virtual Zoning Review
• 2021–2022 National Oceanic & Atmospheric Administration — Southeastern Health + Housing Network
• 2021–2022 UF Innovate — Semi-automated BIM-based Building Permit Code Checking Software
• 2020–2022 National Science Foundation — SCC-PG: Flood Hazard Management & Practitioner Information Network for Florida
• 2020–2021 UF Innovate — Health Impact Indoor Environmental Quality Smart Air Multi-Sensor Device
• 2020–2021 ClimateWorks Foundation — Million Cool Roofs Challenge, Universitas Pendidikan Indonesia
• 2019–2021 U.S. Department of Housing and Urban Development — Advanced Technologies for Rapid Manufacturing of Post-Disaster Housing
• 2019–2021 Daikin USA, Silicon Valley — AI-based HVAC Analysis, Daikin Open Innovation Lab
• 2018–2022 City of Gainesville, FL — BIM-based Automated Code Review
• 2018–2022 Rinker School — PhD Fellowships
• 2018–2020 U.S. Department of Veterans Affairs — CODY: Assistive Technology for SAH Assessments
• 2017–2021 U.S. Department of Housing and Urban Development — Project Re-Envision
• 2017–2018 UF–City of Gainesville — Urban Energy Model for Smart City Informatics
• 2017 National Research Council Canada — Impact of Thermal Bridging on Climate Resilient Roofs
• 2016–2018 National Science Foundation — EAGER: Preventive Maintenance of HVAC Systems using Audio-Sensing
• 2016 WinBuild Inc. / U.S. Department of Energy — EnergyPlus™ Training of South African National Buildings
• 2016 Walt Disney Imagineering — Roofing Thermal Analysis using HEAT3
• 2015–2019 Rinker School — Rinker PhD Fellowships
• 2015–2017 U.S. Department of State — Global Innovation Initiative: A Critical Regionalist Approach to Sustainable Urban Development
• 2015 Florida Energy Systems Consortium — Buildings and Energy: Design and Operation vs. Sustainability
• 2015 National Science Foundation — CPS Early Career Workshop, dSIM Platform position-paper award
• 2014–2018 Rinker School — Rinker PhD Fellowship
• 2013–2017 Rinker School / U.S. Department of Energy — PhD Fellowships
• 2013–2016 Rinker School — GW Robinson Award for Master’s student
• 2013 Green Building Initiative — Energy Assessment & Building Energy Performance Options of Green Globes for New Construction
• 2012 UF Research Opportunity Seed Fund (ROSF) — A Dynamic-BIM Workbench for Low/Net Zero Energy Buildings

Patents (U.S. Patents & Trademark Office)

Books

1. Song, H., Srinivasan, R.S., Sookoor, T., Jeschke S. (Eds.) Smart Cities: Foundations, Principles, and Applications. John Wiley & Sons Inc., July 2016. ISBN: 978-1-1119-22639-0
2. Srinivasan, R.S., Moe, Kiel. The Hierarchy of Energy in Architecture: Emergy Analysis. PocketArchitecture: Technical Design Series (Smith, R.J., Series Ed.), Routledge 2015. ISBN:978-1138803534

Book Chapters

1. Ochoa, K.S., Delavar, Y., Balakrishnan, D., Elias, C., Srinivasan, R.S., Issa, R.J., Anumba, C.J. A Theoretical Framework for Integrating Digital Twins in Building Life Cycle Management. In Lu, W., and Anumba, C. (Eds.) Routledge Handbook of Smart Built Environment. Routledge, 2025.
2. Srinivasan, R.S. Dynamic-BIM Workbench for Low/ Net Zero Energy Buildings. In Lu, W., and Anumba, C. (Eds.) Research Companion to Building Information Modeling. Edward Elgar Publishing, Cheltenham, UK, 2022.
3. Srinivasan, R.S., Manoharan, B., Issa, R.R.A. Urban Building Energy CPS (UBE-CPS): Realtime Demand Response using Digital Twin. CPS in the Built Environment. Springer 2020.
4. Srinivasan, R.S., Bhandari, M. UrbSys ’19: Proceedings of the 1st ACM International Workshop on urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization; BuildSys ’19, New York NY USA, November, 2019. ISBN: 978-1-4503-7014-1
5. Nirjon, S., Srinivasan, R.S., Sookoor, T. SASEM: Smart Audio SEnsing based HVAC Maintenance. Chapter in Song, H., Srinivasan, R.S., Sookoor, T., Jeschke, S. (Eds.) Smart Cities: Foundations, Principles and Applications, Wiley 2017.
6. Komeily, A., Srinivasan, R.S. Smart Cities Sustainability Assessment: Balancing Social, Economic, and Environmental Performance. Chapter in Song, H., Srinivasan, R.S., Sookoor, T., Jeschke, S. (Eds.) Smart Cities: Foundations and Principles, Wiley 2016.
7. Morrison, M., Srinivasan, R.S., Dobbs, C., Nagi, J. “Smart Ecology of Cities: Integrating Development Impacts on Ecosystem Services for Land Parcels.” Chapter in Song, H., Srinivasan, R.S., Sookoor, T., Jeschke, S. (Eds.) Smart Cities: Foundations and Principles, Wiley 2016.
8. Kibert, C.J., Srinivasan, R.S., Sustainable Construction: The Cutting Edge and Emerging Challenges,” Chapter in Jiang, Y. Analytics for Building-Scale Sustainable Ecosystems, Begell House, 2013.
9. Srinivasan, R.S., Energy Assessment & Building Energy Performance Options of Green Globes for New Construction, White Paper, Green Building Initiative, 2013.
10. Srinivasan, R.S., Building Energy Analysis – The Present and Future, Thought-Piece in Kibert, C.J. Sustainable Construction: Green Building Design and Delivery, 3rd Edition (John Wiley & Sons), 2012.

Refereed Publications (through 2026) — journal articles and refereed conference papers, see Google Scholar for the complete list

1. Zhang, H., Srinivasan, R.S., Chen, C., Yang, X., Ganesan, V., Chen, M. Multi-scenario Assessment of Living-wall Effects on Building Air Purification, Noise Attenuation, and Thermal Insulation using Quantum Machine Learning. Building and Environment 2026, 114492; https://doi.org/10.1016/j.buildenv.2026.114492
2. Luo, Y., Gopinadhan, J., Grimaldi, N.S., Lu, X., Ahrentzen, S., Srinivasan, R.S., Hu, B. Evaluation of Home Modifications for Individuals with Mobility Impairments using Virtual Reality and Wearable Sensors. Disability and Rehabilitation: Assistive Technology 2026, 21(1), 309-324; https://doi.org/10.1080/17483107.2025.2467044
3. Balakrishnan, D., Srinivasan, R.S., Anumba, C., Issa, R., Ochoa, K., 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.
4. Paramita, B., Srinivasan, R.S. Scaling RAFLESIA® through Industrialized Construction and Regulatory Integration in Indonesia. International Conference on Industrialized Construction, 2026.
5. Shivam, R., 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.
6. Amoyaw-Brown, Anumba, C., Kio, P., Srinivasan, R.S. Configure-to-Order HVAC Strategies for Energy-Efficient Modular K-12 Schools. International Conference on Industrialized Construction, 2026.
7. Wang, D., Balakrishnan, D., Srinivasan, R.S., Wang, S. Built Environment Reasoning from Remote Sensing Imagery using Large Vision-Language Models. International Conference on Industrialized Construction, 2026; preprint: arXiv:2605.08404.
8. Zhang, H., Srinivasan, R.S., Yang, X., Ganesan, V., Zhang, J., Zhang, H. Quantifying Indoor Air Quality Determinants in Green-Certified Buildings using a Hybrid Machine Learning Method: A Case Study in Florida. Indoor Air 2025, 2150075; https://doi.org/10.1155/ina/2150075
9. Kakade, S., Nalawala, Q., Srinivasan, R.S., Rinker, M. 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, 2025.
10. Arbulu, M., Oregi, X., Etxepare, L., Fuster, A., Srinivasan, R.S. Decarbonisation of the Basque Country Residential Stock by a Holistic Enviro-economic Assessment of Renovation Strategies under Life Cycle Thinking for Climate Risk Mitigation. Sustainable Cities and Society 2024, 117; https://doi.org/10.1016/j.scs.2024.105963
11. 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 2024, 333; https://doi.org/10.1016/j.atmosenv.2024.120673
12. 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 2024, 93; https://doi.org/10.1016/j.jobe.2024.109873
13. Onatayo, D.A., Aggarwal, R., Srinivasan, R.S., Shah, B. A Data-driven Approach to Thermal Transmittance (U-factor) Calculation of Double-glazed Windows with or without Inert Gases between the Panes. Energy & Buildings 2024, 305; https://doi.org/10.1016/j.enbuild.2024.113907
14. Onatayo, D.A., Srinivasan, R.S., Shah, B. Ultraviolet Radiation Transmission in Buildings’ Fenestration: Part II, Exploring Digital Imaging, UV Photography, Image Processing, and Computer Vision Techniques. Buildings 2023, 13(8), 1922; https://doi.org/10.3390/buildings13081922
15. Onatayo, D.A., Srinivasan, R.S., Shah, B. Ultraviolet Radiation Transmission in Buildings’ Fenestration: Part I, Detection Methods and Approaches using Spectrophotometer and Radiometer. Buildings 2023, 13(7), 1670; https://doi.org/10.3390/buildings13071670
16. Wang, Z., Liang, Z., Zeng, R., Yuan, H., Srinivasan, R.S. Identifying the Optimal Heterogenous Ensemble Learning Model for Building Energy Prediction using the Exhaustive Search Method. Energy and Buildings 2023, 281, 112763; https://doi.org/10.1016/j.enbuild.2022.112763
17. Carney, J., Srinivasan, R.S., Bender, S., O’Dell, B., Sharston, R., Chini, R. Advanced Modular Housing Design. HUD Cityscape 2023, 25(1), 37-56; https://www.jstor.org/stable/48725032
18. Ramadhan, T., Paramita, B., Srinivasan, R.S. Study of Cost and Construction Speed of Cladding Wall for Lightweight Steel Frame (LSF). Buildings 2022, 12(11), 1958; https://doi.org/10.3390/buildings12111958
19. Zhang, H., Srinivasan, R.S., Yang, X., Ahrentzen, S., Coker, E.S., Alwisy, A. Factors Influencing Indoor Air Pollution in Buildings using PCA-LMBP Neural Network: A Case Study of a University Campus. Building and Environment 2022, 225, 109643; https://doi.org/10.1016/j.buildenv.2022.109643
20. Wang, Z., Xia, L., Yuan, H., Srinivasan, R.S., Song, X. Principles, Research Status, and Prospects of Feature Engineering for Data-driven Building Energy Prediction: A Comprehensive Review. Journal of Building Engineering 2022, 105028; https://doi.org/10.1016/j.jobe.2022.105028
21. Kumar, T., Srinivasan, R.S., Mani, M. An Emergy-based Approach to Evaluating the Effectiveness of Integrating IoT-based Sensing Systems in Smart Buildings. Sustainable Energy Technologies and Assessments 2022, 52, 102225; https://doi.org/10.1016/j.seta.2022.102225
22. Valipoor, S., Ahrentzen, S., Srinivasan, R.S., Akiely, F., Gopinadhan, J., Okun, M., Ramirez-Zamora, A., Shukla, A. The Use of Virtual Reality to Modify and Personalize Interior Home Features in Parkinson’s Disease. Experimental Gerontology 2022, 159, 111702; https://doi.org/10.1016/j.exger.2022.111702
23. Im, H., Srinivasan, R.S., Maxwell, D., Steiner, R., Karmakar, S. The Impact of Climate Change on a University Campus Energy Use: Use of Machine Learning and Building Characteristics. Buildings 2022, 12(2); https://doi.org/10.3390/buildings12020108
24. Zhang, H., Srinivasan, R.S., Yang, X. Simulation and Analysis of Indoor Air Quality in Florida Using Time Series Regression (TSR) and Artificial Neural Networks (ANN) Models. Symmetry 2021, 13(6), 952; https://doi.org/10.3390/sym13060952
25. Zhang, H., Srinivasan, R.S. A biplot-based PCA approach to study the relations between indoor and outdoor air pollutants using case study buildings. Buildings 2021, 11(5), 218; https://doi.org/10.3390/buildings11050218
26. Wang, Z., Liu, J., Yuan, H., Zhang, R., Srinivasan, R.S. Practical Issues in Implementing Machine Learning Models for Building Energy Efficiency: Moving Beyond Obstacles. Renewable and Sustainable Energy Reviews, 2021, 143; https://doi.org/10.1016/j.rser.2021.110929
27. Jia, M., Srinivasan, R.S., Ries, R., Bharathy, G., Weyer, N. Investigating the Impact of Actual and Modeled Occupant Behavior Information Input to Building Performance Simulation. Buildings 2021, 11(1), 32; https://doi.org/10.3390/buildings1101003
28. Zhang, H., Srinivasan, R.S., Ganesan, V. Low Cost, Multi-Pollutant Sensing System using Raspberry Pi for Realtime Indoor Air and Environmental Condition Monitoring. Sustainability 2021, 13(1), 370; https://doi.org/10.3390/su13010370
29. Kakade, S., Nalawala, Q., and Srinivasan, R.S. Preliminary Research in UAV-based Estimation of Lowest Floor Elevation for Flood Hazard Pre-Disaster Management. Journal of Applied Physics and Engineering. Won “Best Paper Award.”
30. Zhang, H. and Srinivasan, R.S. A Systematic Review of Air Quality Sensors, Guidelines, and Measurement Studies for Indoor Air Quality Management. Sustainability 2020, 12(21), 9045; https://doi.org/10.3390/su12219045
31. Jia, M. and Srinivasan, R.S. (2020). Building Performance Evaluation using Coupled Simulation of EnergyPlus™ and an Occupant Behavior Model. Sustainability 2020, 12(10), 4086. https://doi.org/10.3390/su12104086
32. Zhang, J., Srinivasan, R.S., and Peng, C. Ecological Assessment of Clay Brick Manufacturing in China using Emergy Analysis. Buildings 2020, 10(11), 190; https://doi.org/10.3390/buildings10110190
33. Fathi, S., Srinivasan, R.S., Kibert, C.J., Steiner, R.L., and Demirezen, E. AI-based Campus Energy Use Prediction for Assessing the Effects of Climate Change. Sustainability 2020, 12, 3223; http://dx.doi.org/10.3390/su12083223
34. Fathi, S., Fenner, A. 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
35. Zhang, J., Srinivasan, R.S., 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
36. Im, H., Srinivasan, R., Jia, M. Energy Consumption Scenarios to Prepare for the Climate Change with Regression Model. Construction Research Congress (CRC), Tempe, AZ, March 8-10, 2020.
37. Jia, M., Srinivasan, R.S., Ries, R., Weyer, N., 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
38. Jia, M., Komeily, A., Wang, Y., 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
39. Im, H., Srinivasan, R., Jia, M. Building Energy Use Prediction owing to Climate Change: A Case Study of a University Campus. The 1st Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization (UrbSys) Workshop, ACM BuildSys, Nov 10-14, New York, NY, US, 2019.
40. Fathi, S., Srinivasan, R. 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.
41. Fathi, S., Srinivasan, R., Ries, R. Campus Energy Demand Prediction (CEDP) Using Artificial Intelligence to Study the Effect of Climate Change. Building Simulation 2019, Rome, Italy.
42. Messaoudi, M., Nawari, N., Srinivasan, R. 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.
43. Wang, Z., Wang, Y., 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
44. Jia, M., Srinivasan, R., Ries, R., Bharathy, G. Exploring the Validity of Occupant Behavior Model for Improving Office Building Energy Simulation. Winter Simulation Conference 2018, Gothenburg, Sweden.
45. Jia, M., Srinivasan, R., Ries, R., Bharathy, G. A Framework of Occupant Behavior Modeling and Data Sensing for Improving Building Energy Simulation. SimAUD 2018 Conference, Delft, The Netherlands.
46. Wang, S., Zheng, P., Srinivasan, R.S. (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
47. Wang Z, 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
48. Jia M, Srinivasan R.S., 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, 68(1): 525-540; https://doi.org/10.1016/j.rser.2016.10.011
49. Yi, H., Srinivasan, R.S., Braham, W.W., Tilley, D.R. (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
50. Yi, H., Braham, W.W., Tilley, D.R., Srinivasan, R.S. (2017). Measuring Ecological Characteristics of Environmental Building Performance: Suggestion of an Information-Network Model and Indices to Quantify Complexity, Power, and Sustainability of Energetic Organization. Ecological Indicators, 83:201-277; https://doi.org/10.1016/j.ecolind.2017.07.056
51. Yi, H., Braham, W.W., Tilley, D.R., Srinivasan, R.S. (2017). A Metabolic Network Approach to Building Performance: Information Building Modeling and Simulation of Biological Indicators. Journal of Cleaner Production, 165(1): 1133-1162; https://doi.org/10.1016/j.jclepro.2017.07.082
52. Mahajan, V., Srinivasan, R.S., Chini, A., Ries, R. (2017). Space- Level Plug Load Densities for Energy Analysis: Educational Buildings in University Campus. ASCE Journal of Energy Engineering, 143(2); https://doi.org/10.1061/(ASCE)EY.1943-7897.0000388
53. Zeng, P., Chini, A., Srinivasan, R.S., Jiang, P. (2017). Energy Efficiency of Smart Windows Made of Photonic Crystal. International Journal of Construction Management, 17(2):100-112; https://doi.org/10.1080/15623599.2016.1207368
54. Srinivasan, R.S., Islam, M. T., Islam, B., Wang, Z., Sookoor, T., Nirjon, S. Preventive Maintenance of Centralized HVAC Systems: Use of Acoustic Sensors, Feature Extraction, and Unsupervised Learning. Building Simulation 2017.
55. Mengda, J., Srinivasan, R.S., Bharathy, G., Silverman, B.S., Weyer, N. An Agent-based Model Approach for Simulating Interactions between Occupants and Building Systems. Building Simulation 2017.
56. Manan, S., Gulati, R., Srinivasan, R.S., Bhandari, M. (2016). Impact Study of Metal Fasteners in Roofing Assemblies using Three-Dimensional Heat Transfer Analysis. Buildings, 6(4): 49; https://doi.org/10.3390/buildings6040049
57. Wang, Z., Srinivasan, R.S., Shi, J. (2016). Artificial Intelligence Models for Improved Prediction of Residential Heating. ASCE Journal of Energy Engineering, 142(4) https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29EY.1943-7897.0000342
58. Morrison, M., Srinivasan, R.S., Ries, 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
59. Komeily, A., Srinivasan, R.S. What Is Neighborhood Context and Why Does It Matter In Sustainability Assessment? Intl. Conference on Sustainable Design, Engineering and Construction, 18-20, May 2016.
60. Komeily Ali, Salili, S.M., Srinivasan, R.S., Shahsavan, H., Jakli, A. Application of Wide-Band Liquid Crystal Reflective Windows in Building Energy Efficiency: A Case-study of Educational Buildings. Winter Simulation Conference, Arlington, VA, 2016.
61. Kim, Dong-Soo, Srinivasan, R.S., Chini, A.R. “Toward Urban-scale Assessments of Building Environmental Impacts: A Review.” ICCCBE 2016, Japan.
62. Kim, Dong-Soo, Srinivasan, R.S. “Prediction of Building Energy Use and Emissions for Implementing Energy Efficiency and Renewable Energy Programs: Toward Sustainable Cities.” ICCCBE 2016, Japan.
63. Gulati, R., Suddapalli, S., Srinivasan, R.S. “Energy Impacts of Roof Fasteners for Metal Deck Roofing Systems during Re-roofing and Re-Cover Scenarios.” RCI Conference (Roofing Consultants Institute), Orlando, 2016.
64. Salcido, J.C., Raheem, A.A., Srinivasan, R.S. (2015). Comparison of Embodied Energy and Environmental Impacts 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
65. Yi H., Srinivasan, R.S., 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.org/10.1016/j.buildenv.2014.10.013
66. Komeily A. 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.org/10.1016/j.scs.2015.05.004
67. Wang Z., Srinivasan R.S. (2015). Classification of Household Appliance Operation Cycles: A Case-study Approach, Energies, 8: 10522-10536; https://doi.org/10.3390/en80910522
68. Srinivasan R.S., Campbell D.E. Wang W. (2015). Renewable Substitutability Index: Maximizing Renewable Resource Use in Buildings. Buildings, 5(2): 581-596; https://doi.org/10.3390/buildings5020581
69. Agdas D., Srinivasan R.S., Frost K., 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
70. Komeily A, and Srinivasan R S. “Geographic Information Systems (GIS)- based Decision Support System for Smart Project Location.” In Proceedings of the American Society Civil Engineers’ International Workshop on Computing in Civil Engineering, June 21-23, 2015, Austin, TX, USA.
71. Wang, Z., Srinivasan, R.S. “A Review of Artificial Intelligence-based Building Energy Prediction with a Focus on Ensemble Prediction Models.” Winter Simulation Conference, Huntington, CA, December 6-9, 2015.
72. Jia, M., Srinivasan, R.S. “Occupant Behavior Modeling for Smart Buildings: A Critical Review of Data Acquisition Technologies and Modeling Methodologies.” Winter Simulation Conference, Huntington, CA, December 6-9, 2015.
73. Fathi, S., Srinivasan, R.S. “Critical Analysis of Energy Performance of Educational Buildings in a University Campus Setting using Statistical and Energy Modeling Approaches.” Winter Simulation Conference, Huntington, CA, December 6-9, 2015.
74. Wang, Z., Srinivasan, R.S. “Artificial Intelligence- based Prediction of Residential Space Heating: Use of Dynamic Human Behaviors for Improving Prediction Accuracy.” American Society of Civil Engineers International Workshop on Computing in Civil Engineering, 2015.
75. Komeily, A., Srinivasan, R.S. “Geographic Information Systems (GIS)- based Decision Support System for Smart Project Location.” American Society of Civil Engineers International Workshop on Computing in Civil Engineering, 2015.
76. Srinivasan R.S., Ingwersen W., Trucco C., Ries R.J., Campbell D.E. (2014). Comparing Energy-based Indicators used in Life Cycle Assessment Tools for Buildings. Building and Environment, 79: 138-151; https://doi.org/10.1016/j.buildenv.2014.05.006
77. Srinivasan, R.S., Thakur, S., Parmar, M., Ahmed, I. “Towards the Implementation of a 3D Heat Transfer Analysis in Dynamic-BIM Workbench.” In Proceedings of 45th Winter Simulation Conference to be held in Savannah, GA, 7-10 December, 2014. Invited Paper.
78. Agdas, D., Srinivasan, R.S. “Parallel Computing in Building Energy Simulation.” In Proceedings of 45th Winter Simulation Conference to be held in Savannah, GA, 7-10 December, 2014. Invited Paper.
79. Pasunuru, R., Hakim, H., Sakhalkar, A., Kibert, C., Srinivasan, R.S. “Towards New Zero Energy Schools – A Case Study Approach.” In Proceedings of 45th Winter Simulation Conference to be held in Savannah, GA, 7-10 December, 2014
80. Srinivasan, R.S., Lakshmanan, J. “Dynamic- Sustainability Information Modeling (Dynamic-SIM) Workbench.” In Proceedings of iiSBE Net Zero Built Environment Symposium held in Gainesville, FL,6-7 March, 2014.
81. Pasunuru, R., Hakim, H., Sakhalkar, A., Kibert, C.J., Srinivasan, R.S. “Analysis of Meadowbrook Elementary School Energy Performance: Towards Net Zero.” In Proceedings of iiSBE Net Zero Built Environment Symposium held in Gainesville, FL,6-7 March, 2014.
82. Kim, D., Srinivasan, R.S. “Urban Performance Simulations – A Review.” In Proceedings of iiSBE Net Zero Built Environment Symposium held in Gainesville, FL,6-7 March, 2014.
83. Kibert, C.J., Srinivasan, R.S. “Net Zero: Rational Performance Targets for High Performance Buildings,” In Proceedings of the International Society of Management Science and Engineering Management, Philadelphia, PA, 2013.
84. Kibert, C.J., Srinivasan, R.S. “Net Zero: A Novel Approach for Setting Sustainability Targets for the Built Environment,” In Proceedings of the Advances in Building Sciences Conference, Indian Institute of Technology, Madras, India, 2013. (Keynote Presentation)
85. Srinivasan, R.S., Kibert, C., Fishwick, P., Thakur, S., Lakshmanan, J., Ezzell, Z., Parmar, M., Ahmed, I. “Dynamic-BIM (D-BIM) Workbench for Integrated Building Performance Assessments,” In Proceedings of the Advances in Building Sciences Conference, Madras, India, 2013.
86. Srinivasan, R.S., Campbell, D., Lakshmanan, J., Trucco, C., Acosta, P. “Emergy-LCA Synthesis Models for Built Environments: Challenges and Opportunities,” In Proceedings of the Advances in Building Sciences Conference, Madras, India, 2013.
87. Srinivasan R.S., Braham W.W., Campbell D.E., 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.org/10.1016/j.buildenv.2011.07.010
88. Srinivasan, R.S., Kibert, C.J., Fishwick, P., Ezzell, Z., Thakur, S., Ahmed, I., Lakshmanan, J. “Preliminary Researches in Dynamic-BIM (D-BIM) Workbench Development,” In Proceedings of Winter Simulation Conference, Berlin, Germany, 2012.
89. Bhandari, M., Srinivasan, R.S. “Window-Wall Interface Correction Factors: Thermal Modeling of Integrated Fenestration and Opaque Envelope Systems for Improved Prediction of Energy Use.” In Proceedings of SimBuild Conference, Madison, WI, USA, 2012.
90. Srinivasan R.S., Lakshmanan J., Santosa E., Srivastav D. (2011). Plug Load Densities for Energy Analysis: K-12 Schools. Energy and Buildings, 43 (11): 3289-3294; https://doi.org/10.1016/j.enbuild.2011.08.030
91. Srinivasan, R.S., Braham, W.W., Campbell, D.E., and Curcija, D.C. “Re(de)fining Net Zero Energy: Renewable Emergy Balance of Environmental Building Design.” In Proceedings of the Twelfth International Building Performance Simulation Association Conference, Sydney, Australia, 2011.
92. Srinivasan, R.S., Braham, W.W., Campbell, D.E., and Curcija, D.C. “Building Envelope Optimization using Emergy Analysis in Environmental Building Design.” In Proceedings of the Twelfth International Building Performance Simulation Association Conference, Sydney, Australia, 2011.
93. Srinivasan, R.S., Braham, W.W., Campbell, D.E., and Curcija, D.C. “Sustainability Assessment Frameworks, Evaluation Tools and Metrics for Building and Environment – A Review.” In Proceedings of the Twelfth International Building Performance Simulation Assoc. Conference, Sydney, Australia, 2011.
94. Srinivasan, R.S., Lakshmanan, J., and Srivastav, D. “Calibrated Simulation of an Existing Convention Center Building: The Role of Event Calendar and Energy Modeling Software.” In Proceedings of the Twelfth International Building Performance Simulation Association Conference, Sydney, Australia, 2011.
95. Srinivasan, R.S., Lakshmanan, J., Srivastav, D., and Santosa, E. “Benchmarking Plug-load Density for K-12 Schools.” In Proceedings of the Twelfth International Building Performance Simulation Association Conference, Sydney, Australia, 2011.
96. Srinivasan, R.S., Braham, W.W., Campbell, D.E., and Curcija, D.C. “Energy Balance Verification Protocol for Net Zero Energy Buildings.” In Proceedings of 2011 Winter Simulation Conference, Phoenix, AZ, USA, 2011.
97. Srinivasan, R.S., and Malkawi, A. “Toward Real-Time Airflow Simulations for Immersive Visualization using Adaptive Localization Method.” In Proceedings of the Tenth International Building Performance Simulation Association (IBPSA) Conference held in Beijing, China, Sept 3-6, 2007.
98. Malkawi, A., and Srinivasan, R.S., “Energy Based Decision Support System for Facilities Management: Integration of Data/Web Mining, Knowledge Base and Thermal Simulation.” In Proceedings of the Tenth International IBPSA Conference Held in Beijing, China, Sept 3-6, 2007. (“IBPSA Student Travel Award”)
99. Srinivasan, R.S., and Malkawi, A. “Adaptive Localization Method: An Approach to Real-Time Airflow Simulation and Immersive Visualization.” In Proceedings of the Seventeenth International Conference on Computer Graphics and Vision (GRAPHICON) Held in Moscow, Russia, 23-27 June 2007.
100. Srinivasan, R.S., 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.
101. Lakaemper, R., Malkawi, A., Srinivasan, R.S. and Latecki, L.J. “Mobile Robot Mapping and Immersive Building Simulation.” In Proceedings of the Sixteenth International Conference on Computer Graphics and Vision Held in Moscow, Russia, 1-5 July 2006, Novosibirsk Akademgorodok, Russia, 2006.
102. Malkawi, A.M., Srinivasan, R.S. (2005). A New Paradigm for Human-Building Interaction: The Use of CFD and Augmented Reality. Automation in Construction, 14(1):71-84. Elsevier, B.V.
103. Malkawi, A.M., Srinivasan, R.S. (2005). Interfacing with the Real Space and its Performance. International Journal of Architectural Computing, 3(1):43-56. UK
104. Malkawi, A.M., Srinivasan, R.S., Yi, Y., 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
105. Malkawi, A., Srinivasan, R.S., and Veer, V.J. “Interfacing with Building Data: Toward an Integrated Mobile Augmented Environment.” In Proceedings of the Ninth International Building Performance Simulation Association Conference Held in Canada, 15-18 August 2005, Montreal, Canada, 2005.
106. Srinivasan, R.S. and Malkawi, A. “Reinforcement Learning and Real-time Thermal Performance Visualization in Buildings.” In Proceedings of the Tenth Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) Conference Held in New Delhi, India, 28-30 April 2005, edited by A. Bhatt. New Delhi: CAADRIA, 2005. (“Young CAADRIA Award” for best research)
107. Malkawi, A. and Srinivasan, R.S. “Building Performance Visualization Using Augmented Reality.” In Proceedings of the Fourteenth International Conference on Computer Graphics and Vision Held in Moscow, Russia, 6-10 September 2004, 122-127. Moscow, Russia: Moscow State University, 2004.
108. Malkawi, A. and Srinivasan, R.S. “Multimodal Human-Computer Interaction for Immersive Visualization: Integrating Speech-Gesture Recognitions and Augmented Reality for Indoor Environments.” In Proceedings of the Seventh International Association of Science and Technology for Development (IASTED) Conference on Computer Graphics and Imaging Held in Kauai, Hawaii, 17-19 August 2004, edited by M.H. Hamza, 171-175. Calgary, Canada: ACTA Press, 2004.
109. Malkawi, A., Srinivasan, R.S., Jackson, B., Yi, Y., Chan, K.H. and Angelov, S. “Interactive, Immersive Visualization for Indoor Environments: Use of Augmented Reality, Human-Computer Interaction and Building Simulation.” In Proceedings of the Eight International Conference on Information Visualization Held in London, England, 14-16 July 2004, 833-838. London, England: IEEE Press, 2004.
110. Srinivasan, R.S. and Malkawi, A. “The Use of Learning Algorithms for Real-time Immersive Data Visualization in Buildings.” In Proceedings of the Eighth Iberoamerican Congress of Digital Graphic (SIGRADI) Conference Held in Sao Leopoldo, Brazil, 10-12 November 2004, edited by C. Scaletsky, 793-798, Sao Leopoldo, Brazil: 2004.
111. Malkawi, A., Srinivasan, R.S., Yi, Y. and Choudhary, R. “Performance-based Design Evolution: The Use of Genetic Algorithms and CFD.” In Proceedings of the Eighth IBPSA Conference Held in Eindhoven, Netherlands, 11-14 August 2003, edited by G. Augenbroe and J. Hensen, Vol. 2: 793-798. Eindhoven, The Netherlands: IBPSA, 2003.
112. Srinivasan, R.S. and Najafi, F. “Visual Construction Information System to Retrieve Necessary Construction Data for a Typical Mid-size Construction Project.” In Proceedings of the Eighty Second Annual Meeting of Transportation Research Board (TRB) Conference Held in Washington D.C., 12-16 January 2003.
113. Najafi, F.T., Fukai, D., Ross, D., and Srinivasan, R.S. “Public Works Engineering Education Through Setting up An International Public Works Center at the University of Florida,” In Proceedings of the American Society of Engineering Education (ASEE), held in Montreal, Canada, 2002.
114. Srinivasan, R.S. et al., “Visual Pattern Database (ViPD): New Understanding of the Sequences in Design and Construction,” In Proceedings of the Fourth Transportation Speciality Conference of the Canadian Society for Civil Engineering, held in Montreal, Canada, 5-8 June, 2002.
115. Fukai, D. and Srinivasan, R.S. “Piece-based Construction Information System (PCIS) Revisited: A Visual Database for Design and Construction.” In Proceedings of the Twenty First Annual Conference of the Association for Computer-Aided Design in Architecture (ACADIA) Held in Buffalo, New York, 11-14 October 2001, edited by W. Jabi, 372-379. Buffalo, NY: ACADIA, 2001.
116. Fukai, D. and Srinivasan, R.S. “PCIS Revisited: A Visual Decision Tool for Design and Construction Management.” In Proceedings of the Sixth International Conference on Information Visualization Held in London, England, 25-27 July 2001, 376-381. London, England: IEEE Press, 2001

Conference Presentations (Non-Paper)

1. Valipoor, S., Srinivasan, R., Ahrentzen, S. Virtual Reality for Older Adults with Movement Disorders: A Tool for Co-Designing Homes. IAPS Conference, Québec City, Canada. June 2020.
2. Ahrentzen, S., Srinivasan, R., Valipoor, S. CODY: Using Virtual Reality for Co-Designing Residential Interiors for People with Parkinson’s Disease presented at AMPS Conference, Tallahassee, FL. Jan 2020.

Technical Reports

1. Srinivasan, R.S., et al., “A Net Zero Energy Study of Old Colony Redevelopment: Preliminary Assessment Report,” prepared for Boston Housing Authority’s first public housing Net Zero Energy project. 2010
2. “Energy-based Decision Support System for National Park Service’s Facility Management.” University of Pennsylvania and Independence National Historic Park Partnership. Washington D.C.: U.S. Department of Energy. 2006
3. Srinivasan, R.S. “Thermal Heat Transfer Routines: An Object Oriented Approach to Access Transfer Function Method Simulation Engine.” School of Design, University of Pennsylvania. 2006
4. Malkawi, A.M., Srinivasan, R.S. “Fire Evacuation Study for World Trade Center Using STEPS and EXODUS.” School of Design, University of Pennsylvania. 2005