Rishee Jain

All Publications

• Utilizing wearable technology to characterize and facilitate occupant collaborations in flexible workspaces Maisha, K., Frei, M., Quintana, M., Chua, Y., Jain, R., Miller, C. 2024
• Examining the impact of energy efficiency retrofits and vegetation on energy performance of institutional buildings: An equity-driven analysis APPLIED ENERGY Excell, L. E., Jain, R. K. 2024; 357

  View details for DOI 10.1016/j.apenergy.2023.121722

  View details for Web of Science ID 001147553100001

• Evaluating building decarbonization potential in U.S. cities under emissions based building performance standards and load flexibility requirements JOURNAL OF BUILDING ENGINEERING Andrews, A., Jain, R. K. 2023; 76

  View details for DOI 10.1016/j.jobe.2023.107375

  View details for Web of Science ID 001058931900001

• Quantifying the pedestrian access potential of suburban street network retrofits ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE Aras, R. L., Ouellette, N. T., Jain, R. K. 2023

  View details for DOI 10.1177/23998083231190974

  View details for Web of Science ID 001037149700001

• Tropical climates and the interplay between IEQ and energy consumption in buildings: A review BUILDING AND ENVIRONMENT Verma, A., Gupta, V., Nihar, K., Jana, A., Jain, R. K., Deb, C. 2023; 242

  View details for DOI 10.1016/j.buildenv.2023.110551

  View details for Web of Science ID 001031559800001

• Natural ventilation versus air pollution: assessing the impact of outdoor pollution on natural ventilation potential in informal settlements in India ENVIRONMENTAL RESEARCH: INFRASTRUCTURE AND SUSTAINABILITY Nihar, K., Nutkiewicz, A., Jain, R. K. 2023; 3 (2)

  View details for DOI 10.1088/2634-4505/acc88f

  View details for Web of Science ID 001059253500001

• TOM.D: Taking advantage of microclimate data for urban building energy modeling ADVANCES IN APPLIED ENERGY Dougherty, T. R., Jain, R. K. 2023; 10

  View details for DOI 10.1016/j.adapen.2023.100138

  View details for Web of Science ID 001030813800001

• The impact of urban form on daily mobility demand and energy use: Evidence from the United States APPLIED ENERGY Miotti, M., Needell, Z. A., Jain, R. K. 2023; 339

  View details for DOI 10.1016/j.apenergy.2023.120883

  View details for Web of Science ID 000966600000001

• A barrier too far: Understanding the role of intersection crossing distance on bicycle rider behavior in Chicago ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE Aras, R. L., Ouellette, N. T., Jain, R. K. 2023

  View details for DOI 10.1177/23998083221147922

  View details for Web of Science ID 000909520900001

• Invisible walls: Exploration of microclimate effects on building energy consumption in New York City SUSTAINABLE CITIES AND SOCIETY Dougherty, T. R., Jain, R. K. 2023; 90

  View details for DOI 10.1016/j.scs.2022.104364

  View details for Web of Science ID 000916218600001

• Beyond Energy Efficiency: A clustering approach to embed demand flexibility into building energy benchmarking APPLIED ENERGY Andrews, A., Jain, R. K. 2022; 327

  View details for DOI 10.1016/j.apenergy.2022.119989

  View details for Web of Science ID 000886052300007

• Optimizing pipe network design and central plant positioning of district heating and cooling System: A Graph-Based Multi-Objective genetic algorithm approach APPLIED ENERGY Su, L., Nie, T., Ho, C., Yang, Z., Calvez, P., Jain, R. K., Donat, R. 2022; 325

  View details for DOI 10.1016/j.apenergy.2022.119844

  View details for Web of Science ID 000860341400003

• A Global Building Occupant Behavior Database. Scientific data Dong, B., Liu, Y., Mu, W., Jiang, Z., Pandey, P., Hong, T., Olesen, B., Lawrence, T., O'Neil, Z., Andrews, C., Azar, E., Bandurski, K., Bardhan, R., Bavaresco, M., Berger, C., Burry, J., Carlucci, S., Chvatal, K., De Simone, M., Erba, S., Gao, N., Graham, L. T., Grassi, C., Jain, R., Kumar, S., Kjærgaard, M., Korsavi, S., Langevin, J., Li, Z., Lipczynska, A., Mahdavi, A., Malik, J., Marschall, M., Nagy, Z., Neves, L., O'Brien, W., Pan, S., Park, J. Y., Pigliautile, I., Piselli, C., Pisello, A. L., Rafsanjani, H. N., Rupp, R. F., Salim, F., Schiavon, S., Schwee, J., Sonta, A., Touchie, M., Wagner, A., Walsh, S., Wang, Z., Webber, D. M., Yan, D., Zangheri, P., Zhang, J., Zhou, X., Zhou, X. 2022; 9 (1): 369

  Abstract

  This paper introduces a database of 34 field-measured building occupant behavior datasets collected from 15 countries and 39 institutions across 10 climatic zones covering various building types in both commercial and residential sectors. This is a comprehensive global database about building occupant behavior. The database includes occupancy patterns (i.e., presence and people count) and occupant behaviors (i.e., interactions with devices, equipment, and technical systems in buildings). Brick schema models were developed to represent sensor and room metadata information. The database is publicly available, and a website was created for the public to access, query, and download specific datasets or the whole database interactively. The database can help to advance the knowledge and understanding of realistic occupancy patterns and human-building interactions with building systems (e.g., light switching, set-point changes on thermostats, fans on/off, etc.) and envelopes (e.g., window opening/closing). With these more realistic inputs of occupants' schedules and their interactions with buildings and systems, building designers, energy modelers, and consultants can improve the accuracy of building energy simulation and building load forecasting.

  View details for DOI 10.1038/s41597-022-01475-3

  View details for PubMedID 35764639

• Cool roofs can mitigate cooling energy demand for informal settlement dwellers RENEWABLE & SUSTAINABLE ENERGY REVIEWS Nutkiewicz, A., Mastrucci, A., Rao, N. D., Jain, R. K. 2022; 159

  View details for DOI 10.1016/j.rser.2022.112183

  View details for Web of Science ID 000786655300003

• Exploring Use Cases for an Hourly Building Energy Benchmarking Platform Andrews, A., Jain, R. K., ACM ASSOC COMPUTING MACHINERY. 2022: 303-304

  View details for DOI 10.1145/3563357.3567756

  View details for Web of Science ID 001066191100048

• Context-aware Urban Energy Analytics (CUE-A): A framework to model relationships between building energy use and spatial proximity of urban systems SUSTAINABLE CITIES AND SOCIETY Shivaram, R., Yang, Z., Jain, R. K. 2021; 72

  View details for DOI 10.1016/j.scs.2021.102978

  View details for Web of Science ID 000672607600001

• Exploring the influence of urban context on building energy retrofit performance: A hybrid simulation and data-driven approach ADVANCES IN APPLIED ENERGY Nutkiewicz, A., Choi, B., Jain, R. K. 2021; 3

  View details for DOI 10.1016/j.adapen.2021.100038

  View details for Web of Science ID 001022693500003

• Data-driven optimization of building layouts for energy efficiency ENERGY AND BUILDINGS Sonta, A., Dougherty, T. R., Jain, R. K. 2021; 238

  View details for DOI 10.1016/j.enbuild.2021.110815

  View details for Web of Science ID 000636221500001

• Uncertainty Matters: Bayesian Probabilistic Forecasting for Residential Smart Meter Prediction, Segmentation, and Behavioral Measurement and Verification ENERGIES Roth, J., Chadalawada, J., Jain, R. K., Miller, C. 2021; 14 (5)

  View details for DOI 10.3390/en14051481

  View details for Web of Science ID 000628134300001

• Automated identification of urban substructure for comparative analysis. PloS one Aras, R. L., Ouellette, N. T., Jain, R. K. 2021; 16 (1): e0245067

  Abstract

  Neighborhoods are the building blocks of cities, and thus significantly impact urban planning from infrastructure deployment to service provisioning. However, existing definitions of neighborhoods are often ill suited for planning in both scale and pattern of aggregation. Here, we propose a generalized, scalable approach using topological data analysis to identify barrier-enclosed neighborhoods on multiple scales with implications for understanding social mixing within cities and the design of urban infrastructure. Our method requires no prior domain knowledge and uses only readily available building parcel information. Results from three American cities (Houston, New York, San Francisco) indicate that our method identifies neighborhoods consistent with historical approaches. Additionally, we uncover a consistent scale in all three cities at which physical isolation drives neighborhood emergence. However, our methods also reveal differences between these cities: Houston, although more disconnected on larger spatial scales than New York and San Francisco, is less disconnected at smaller scales.

  View details for DOI 10.1371/journal.pone.0245067

  View details for PubMedID 33444347

• SCHMEAR: Scalable Construction of Holistic Models for Energy Analysis from Rooftops Dougherty, T. R., Huang, T., Chen, Y., Jain, R. K., Rajagopal, R., ACM ASSOC COMPUTING MACHINERY. 2021: 111-120

  View details for DOI 10.1145/3486611.3486666

  View details for Web of Science ID 000945948100012

• SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods APPLIED ENERGY Roth, J., Martin, A., Miller, C., Jain, R. K. 2020; 280

  View details for DOI 10.1016/j.apenergy.2020.115981

  View details for Web of Science ID 000594128100004

• Harnessing smart meter data for a Multitiered Energy Management Performance Indicators (MEMPI) framework: A facility manager informed approach APPLIED ENERGY Roth, J., Brown, H., Jain, R. K. 2020; 276

  View details for DOI 10.1016/j.apenergy.2020.115435

  View details for Web of Science ID 000571441800005

• Simulation-aided occupant-centric building design: A critical review of tools, methods, and applications ENERGY AND BUILDINGS Azar, E., O'Brien, W., Carlucci, S., Hong, T., Sonta, A., Kim, J., Andargie, M. S., Abuimara, T., El Asmar, M., Jain, R. K., Ouf, M. M., Tahmasebi, F., Zhou, J. 2020; 224

  View details for DOI 10.1016/j.enbuild.2020.110292

  View details for Web of Science ID 000571218200030

• One approach does not fit all (smart) cities: Causal recipes for cities' use of "data and analytics" CITIES Ruhlandt, R., Levitt, R., Jain, R., Hall, D. 2020; 104

  View details for DOI 10.1016/j.cities.2020.102800

  View details for Web of Science ID 000541151900012

• Building Relationships: Using Embedded Plug Load Sensors for Occupant Network Inference IEEE EMBEDDED SYSTEMS LETTERS Sonta, A. J., Jain, R. K. 2020; 12 (2): 41–44

  View details for DOI 10.1109/LES.2019.2937316

  View details for Web of Science ID 000541147900003

• Examining the feasibility of using open data to benchmark building energy usage in cities: A data science and policy perspective ENERGY POLICY Roth, J., Lim, B., Jain, R. K., Grueneich, D. 2020; 139

  View details for DOI 10.1016/j.enpol.2020.111327

  View details for Web of Science ID 000528255000035

• Drivers of Data and Analytics Utilization within (Smart) Cities: A Multimethod Approach JOURNAL OF MANAGEMENT IN ENGINEERING Ruhlandt, R., Levitt, R., Jain, R., Hall, D. 2020; 36 (2)

  View details for DOI 10.1061/(ASCE)ME.1943-5479.0000762

  View details for Web of Science ID 000508191300010

• Exploring the integration of simulation and deep learning models for urban building energy modelling and retrofit analysis Nutkiewicz, A., Jain, R. K., Corrado, Fabrizio, E., Gasparella, A., Patuzzi, F. INT BUILDING PERFORMANCE SIMULATION ASSOC-IBPSA. 2020: 3209-3216

  View details for DOI 10.26868/25222708.2019.210264

  View details for Web of Science ID 000709431303035

• Learning socio-organizational network structure in buildings with ambient sensing data DATA-CENTRIC ENGINEERING Sonta, A., Jain, R. K. 2020; 1

  View details for DOI 10.1017/dce.2020.9

  View details for Web of Science ID 000851324300009

• Energy-cyber-physical systems APPLIED ENERGY Jin, M., Jain, R., Spanos, C., Jia, Q., Norford, L. K., Kjaergaard, M., Yan, J. 2019; 256

  View details for DOI 10.1016/j.apenergy.2019.113939

  View details for Web of Science ID 000497981300051

• Computational Approaches to Enable Smart and Sustainable Urban Systems JOURNAL OF COMPUTING IN CIVIL ENGINEERING Jain, R. K., Abraham, D. 2019; 33 (6)

  View details for DOI 10.1061/(ASCE)CP.1943-5487.0000850

  View details for Web of Science ID 000486180000002

• Understanding the adoption and usage of data analytics and simulation among building energy management professionals: A nationwide survey BUILDING AND ENVIRONMENT Srivastava, C., Yang, Z., Jain, R. K. 2019; 157: 139–64

  View details for DOI 10.1016/j.buildenv.2019.04.016

  View details for Web of Science ID 000471114800014

• Urban Data Integration Using Proximity Relationship Learning for Design, Management, and Operations of Sustainable Urban Systems JOURNAL OF COMPUTING IN CIVIL ENGINEERING Gupta, K., Yang, Z., Jain, R. K. 2019; 33 (2)

  View details for DOI 10.1061/(ASCE)CP.1943-5487.0000806

  View details for Web of Science ID 000457272200001

• DUE-A: Data-driven Urban Energy Analytics for understanding relationships between building energy use and urban systems Yang, Z., Gupta, K., Jain, R. K., Yan, J., Yang, H. X., Li, H., Chen ELSEVIER SCIENCE BV. 2019: 6478–83

  View details for DOI 10.1016/j.egypro.2019.01.114

  View details for Web of Science ID 000471031706128

• Optimizing Neighborhood-Scale Walkability Sonta, A. J., Jain, R. K., Cho, Y. K., Leite, F., Behzadan, A., Wang, C. AMER SOC CIVIL ENGINEERS. 2019: 454–61

  View details for Web of Science ID 000485219700058

• Spatial and Temporal Modeling of Urban Building Energy Consumption Using Machine Learning and Open Data Roth, J., Bailey, A., Choudhary, S., Jain, R. K., Cho, Y. K., Leite, F., Behzadan, A., Wang, C. AMER SOC CIVIL ENGINEERS. 2019: 459–67

  View details for Web of Science ID 000485354700059

• Energy modeling of urban informal settlement redevelopment: Exploring design parameters for optimal thermal comfort in Dharavi, Mumbai, India APPLIED ENERGY Nutkiewicz, A., Jain, R. K., Bardhan, R. 2018; 231: 433–45

  View details for DOI 10.1016/j.apenergy.2018.09.002

  View details for Web of Science ID 000452345400033

• Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow Nutkiewicz, A., Yang, Z., Jain, R. K. ELSEVIER SCI LTD. 2018: 1176–89

  View details for DOI 10.1016/j.apenergy.2018.05.023

  View details for Web of Science ID 000438181000090

• Understanding building occupant activities at scale: An integrated knowledge-based and data-driven approach Sonta, A. J., Simmons, P. E., Jain, R. K. ELSEVIER SCI LTD. 2018: 1–13

  View details for DOI 10.1016/j.aei.2018.04.009

  View details for Web of Science ID 000438320300001

• A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulation APPLIED ENERGY Khosrowpour, A., Jain, R. K., Taylor, J. E., Peschiera, G., Chen, J., Gulbinas, R. 2018; 218: 304–16

  View details for DOI 10.1016/j.apenergy.2018.02.148

  View details for Web of Science ID 000430994500026

• DUE-B: Data-driven urban energy benchmarking of buildings using recursive partitioning and stochastic frontier analysis ENERGY AND BUILDINGS Yang, Z., Roth, J., Jain, R. K. 2018; 163: 58–69

  View details for DOI 10.1016/j.enbuild.2017.12.040

  View details for Web of Science ID 000428485100006

• Data-Driven, Multi-metric, and Time-Varying (DMT) Building Energy Benchmarking Using Smart Meter Data Roth, J., Jain, R. K., Smith, I. F., Domer, B. SPRINGER INTERNATIONAL PUBLISHING AG. 2018: 568–93

  View details for DOI 10.1007/978-3-319-91635-4_30

  View details for Web of Science ID 000482715500030

• Inferring Occupant Ties Automated Inference of Occupant Network Structure in Commercial Buildings Sonta, A. J., Jain, R. K., Ramachandran, G. S., Batra, N. ASSOC COMPUTING MACHINERY. 2018: 126–29

  View details for DOI 10.1145/3276774.3276779

  View details for Web of Science ID 000458157100016

• OESPG: Computational Framework for Multidimensional Analysis of Occupant Energy Use Data in Commercial Buildings JOURNAL OF COMPUTING IN CIVIL ENGINEERING Sonta, A. J., Jain, R. K., Gulbinas, R., Moura, J. M., Taylor, J. E. 2017; 31 (4)

  View details for DOI 10.1061/(ASCE)CP.1943-5487.0000663

  View details for Web of Science ID 000399894800017

• Data-driven planning of distributed energy resources amidst socio-technical complexities Nature Energy Jain, R. K., Qin, J., Rajagopal, R. 2017

  View details for DOI 10.1038/nenergy.2017.112

• Data-driven Urban Energy Simulation (DUE-S): Integrating machine learning into an urban building energy simulation workflow Nutkiewicz, A., Yang, Z., Jain, R. K., Yan, J., Wu, J., Li, H. ELSEVIER SCIENCE BV. 2017: 2114–19

  View details for DOI 10.1016/j.egypro.2017.12.614

  View details for Web of Science ID 000452901602041

• Intestinal Enteroendocrine Lineage Cells Possess Homeostatic and Injury-Inducible Stem Cell Activity Cell Stem Cell Yan, K., Gevaert, O., Zheng, G., Anchang, B., Probert, C., et al 2017; 21 (1): 78 - 90.e6

  Abstract

  Several cell populations have been reported to possess intestinal stem cell (ISC) activity during homeostasis and injury-induced regeneration. Here, we explored inter-relationships between putative mouse ISC populations by comparative RNA-sequencing (RNA-seq). The transcriptomes of multiple cycling ISC populations closely resembled Lgr5+ISCs, the most well-defined ISC pool, but Bmi1-GFP+cells were distinct and enriched for enteroendocrine (EE) markers, including Prox1. Prox1-GFP+cells exhibited sustained clonogenic growth in vitro, and lineage-tracing of Prox1+cells revealed long-lived clones during homeostasis and after radiation-induced injury in vivo. Single-cell mRNA-seq revealed two subsets of Prox1-GFP+cells, one of which resembled mature EE cells while the other displayed low-level EE gene expression but co-expressed tuft cell markers, Lgr5 and Ascl2, reminiscent of label-retaining secretory progenitors. Our data suggest that the EE lineage, including mature EE cells, comprises a reservoir of homeostatic and injury-inducible ISCs, extending our understanding of cellular plasticity and stemness.

  View details for DOI 10.1016/j.stem.2017.06.014

  View details for PubMedCentralID PMC5642297

• A Data Integration Framework for Urban Systems Analysis Based on Geo-Relationship Learning Yang, Z., Gupta, K., Gupta, A., Jain, R. K., Lin, K. Y., ElGohary, N., Tang, P. AMER SOC CIVIL ENGINEERS. 2017: 467–74

  View details for Web of Science ID 000425807900056

• Towards Automated Inference of Occupant Behavioral Dynamics Using Plug-Load Energy Data Sonta, A. J., Simmons, P. E., Jain, R. K., Lin, K. Y., ElGohary, N., Tang, P. AMER SOC CIVIL ENGINEERS. 2017: 290–97

  View details for Web of Science ID 000425807900035

• Poster Abstract: Towards City-Scale Building Energy Performance Benchmarking Yang, Z., Roth, J., Jain, R. K., ACM ASSOC COMPUTING MACHINERY. 2016: 241–42

  View details for DOI 10.1145/2993422.2996408

  View details for Web of Science ID 000433381300040

• Data-Driven Benchmarking of Building Energy Performance at the City Scale Yang, Z., Roth, J., Jain, R. K., ACM ASSOC COMPUTING MACHINERY. 2016

  View details for DOI 10.1145/3007540.3007541

  View details for Web of Science ID 000391514000001

• Poster abstract: A data-driven design framework for urban slum housing - Case of Mumbai Debnath, R., Bardhan, R., Jain, R. K., ACM ASSOC COMPUTING MACHINERY. 2016: 239–40

  View details for DOI 10.1145/2993422.2996406

  View details for Web of Science ID 000433381300039

• Modeling the determinants of large-scale building water use: Implications for data-driven urban sustainability policy SUSTAINABLE CITIES AND SOCIETY Kontokosta, C. E., Jain, R. K. 2015; 18: 44-55

  View details for DOI 10.1016/j.scs.2015.05.007

  View details for Web of Science ID 000367397500005

• BizWatts: A modular socio-technical energy management system for empowering commercial building occupants to conserve energy APPLIED ENERGY Gulbinas, R., Jain, R. K., Taylor, J. E. 2014; 136: 1076-1084

  View details for DOI 10.1016/j.apenergy.2014.07.034

  View details for Web of Science ID 000345725800104

• The impact of combined water and energy consumption eco-feedback on conservation ENERGY AND BUILDINGS Jeong, S. H., Gulbinas, R., Jain, R. K., Taylor, J. E. 2014; 80: 114-119

  View details for DOI 10.1016/j.enbuild.2014.05.013

  View details for Web of Science ID 000343949400011

• Big Data plus Big Cities: Graph Signals of Urban Air Pollution IEEE SIGNAL PROCESSING MAGAZINE Jain, R. K., Moura, J. M., Kontokosta, C. E. 2014; 31 (5): 130-136

  View details for DOI 10.1109/MSP.2014.2330357

  View details for Web of Science ID 000346043600014

• Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy APPLIED ENERGY Jain, R. K., Smith, K. M., Culligan, P. J., Taylor, J. E. 2014; 123: 168-178

  View details for DOI 10.1016/j.apenergy.2014.02.057

  View details for Web of Science ID 000336017400017

• Network Ecoinformatics: Development of a Social Ecofeedback System to Drive Energy Efficiency in Residential Buildings JOURNAL OF COMPUTING IN CIVIL ENGINEERING Gulbinas, R., Jain, R. K., Taylor, J. E., Peschiera, G., Golparvar-Fard, M. 2014; 28 (1): 89-98

  View details for DOI 10.1061/(ASCE)CP.1943-5487.0000319

  View details for Web of Science ID 000333446100009

• Can social influence drive energy savings? Detecting the impact of social influence on the energy consumption behavior of networked users exposed to normative eco-feedback ENERGY AND BUILDINGS Jain, R. K., Gulbinas, R., Taylor, J. E., Culligan, P. J. 2013; 66: 119-127

  View details for DOI 10.1016/j.enbuild.2013.06.029

  View details for Web of Science ID 000327904200013

• Investigating the impact eco-feedback information representation has on building occupant energy consumption behavior and savings ENERGY AND BUILDINGS Jain, R. K., Taylor, J. E., Culligan, P. J. 2013; 64: 408-414

  View details for DOI 10.1016/j.enbuild.2013.05.011

  View details for Web of Science ID 000323629100043

• Block Configuration Modeling: A novel simulation model to emulate building occupant peer networks and their impact on building energy consumption APPLIED ENERGY Chen, J., Jain, R. K., Taylor, J. E. 2013; 105: 358-368

  View details for DOI 10.1016/j.apenergy.2012.12.036

  View details for Web of Science ID 000316831800036

• Assessing eco-feedback interface usage and design to drive energy efficiency in buildings ENERGY AND BUILDINGS Jain, R. K., Taylor, J. E., Peschiera, G. 2012; 48: 8-17

  View details for DOI 10.1016/j.enbuild.2011.12.033

  View details for Web of Science ID 000302669300002