Home전문가

안녕하세요.

함영집 교수입니다.

저는 서울대학교 건설환경도시공학부에서 인공지능(AI), 데이터 과학, 디지털 트윈, BIM, 가상현실(VR), 인간-로봇 인터페이스를 활용하여 스마트 건설 및 지능형 인프라 관리 시스템을 연구하고 있습니다.

저를 만나는 두 가지 방법이 있습니다.

첫 번째 방법은, 저의 디지털 쌍둥이를 통해서 만나는 것입니다. A Con 앱으로 가보시면, 대화창이 나옵니다. 그곳에서 문자나 음성으로 대화할 수 있습니다.

두 번째 방법은, 실제 사람으로서 저를 만나는 것입니다. 이 역시 A Con 앱으로 가시면 화상 대화 메뉴가 나옵니다. 화면을 보면서 저와 대화할 수 있습니다.

앱에서 만나보기

디니털 쌍둥이가 뭐냐고요?

실제 사람 전문가를 디지털로 그대로 복제한 것을  말합니다.

그 사람의 신원 정보, 개인적인 취향이나 성격, 전문 지식 등을 깊이있게 학습한 인공지능(AI)이 그 사람을 닮은 모습과 지식으로 당신과 대화를 하는 것입니다.

 

저는 서울대학교 건축·건설환경공학부 교수로서 스마트 건설(Smart Construction)과 지능형 인프라 관리(Intelligent Infrastructure Management)를 중심으로 연구하고 있습니다.

제 연구는 인공지능(AI), 데이터 과학, BIM(Building Information Modeling), 디지털 트윈(Digital Twin), 가상·증강현실(VR/AR), 그리고 인간-로봇 인터페이스(Human–Robot Interface, HRI)를 융합하여 미래 건설환경의 자동화와 지속가능성을 실현하는 데 초점을 두고 있습니다. 특히, 인간 중심의 건설 자동화, AI 기반 건설 현장 디지털 트윈, 우주 건설을 위한 인간-로봇 협업 인터페이스 등 다양한 첨단 연구 프로젝트를 수행하며, 국내외 연구기관 및 산업체와의 협력을 통해 건설산업의 혁신을 선도하고 있습니다.

저는 미국 일리노이대학교 어배너-섐페인(UIUC)에서 박사학위를 취득하였으며, 이후 텍사스 A&M 대학교(TAMU)에서 조교수와 부교수를 거쳐 현재 서울대학교에서 연구와 교육을 병행하고 있습니다.

궁금하신 것, 알려주고 싶은 것, 무엇이든 좋으니 저와 대화해 주세요~

연구실 홈페이지https://www.hamresearchgroup.com/

  • Ph.D. in Civil Engineering, University of Illinois at Urbana-Champaign, 2015
    전공: Construction Engineering & Management

  • M.S. in Computer Science, University of Illinois at Urbana-Champaign, 2014
    전공: Artificial Intelligence

  • M.S. in Architectural Engineering, Seoul National University, 2011
    전공: Construction Engineering & Management

  • B.S. in Rural Systems Engineering, Seoul National University, 2009
    전공: Civil Engineering (Cum Laude)

  • 부교수 (Associate Professor)
    서울대학교 건축·건설환경공학부 (Department of Civil & Environmental Engineering)
    2024.09 – 현재

  • History Maker Homes 지정 부교수 (Endowed Associate Professor)
    텍사스 A&M 대학교 (Texas A&M University), Department of Construction Science
    2021.09 – 2024.08

  • 조교수 (Assistant Professor)
    텍사스 A&M 대학교 (Texas A&M University), Department of Construction Science
    2017.08 – 2021.08

  • 조교수 (Assistant Professor)
    플로리다 국제대학교 (Florida International University), Moss School of Construction, Infrastructure, and Sustainability
    2015.08 – 2017.08

서울대학교

  • Construction Quality & Safety Management (건설 품질 및 안전관리)

  • Construction Planning and Scheduling (건설 계획 및 일정관리) 

  • Construction Methods and Equipment (건설 시공방법 및 장비) 

  • Construction Information System Management (건설 정보시스템 관리) 

Texas A&M University (텍사스 A&M 대학교)

  • Building Information Modeling Systems (건설정보모델링 시스템) 

  • Advanced Construction Visualization (고급 건설 시각화)

Florida International University (플로리다 국제대학교)

  • Construction Planning and Scheduling (건설 계획 및 일정관리)  

  • Construction Information Systems (건설 정보시스템) 

  • Management of Construction Projects (건설 프로젝트 관리)  

University of Illinois Urbana–Champaign (일리노이대학교 어배너-섐페인)

  • Construction Management 

  • Visual Sensing for Civil Infrastructure Engineering and Management — Spring 2013 (TA)

  • Liu, D., & Ham, Y. (2025). Multistage cognitive dynamics for collaborative teleoperation in challenging environments. Automation in Construction, 180. Elsevier.

  • Kamari, M., & Ham, Y. (2025). Free fall simulation-driven synthetic modeling for deep learning-based potential wind-borne debris assessment in jobsites. Automation in Construction, 178. Elsevier.

  • Lee, J., Oh, S., Park, H., & Ham, Y. (2025). Electro-tactile feedback for challenging construction teleoperation: Ensuring excavation performance and situational awareness. Automation in Construction, 177. Elsevier.

  • Oh, J., Hong, S., Choi, B., Ham, Y., & Kim, H. (2025). Integrating text parsing and object detection for automated monitoring of finishing works in construction projects. Automation in Construction, 174. Elsevier.

  • Kamari, M., & Ham, Y. (2025). Advancing 3D object detection and segmentation in construction jobsites using an open vocabulary approach. Journal of Construction Engineering and Management. ASCE.

  • Lee, J., & Ham, Y. (2025). Paradox of time pressure: Cognitive and task performance during time-sensitive and challenging teleoperation. Journal of Construction Engineering and Management, 151(1). ASCE.

  • Seo, M., Gupta, S., & Ham, Y. (2024). Exploratory study on time-delayed excavator teleoperation in virtual lunar construction simulation: Task performance and operator behavior. Automation in Construction, 168. Elsevier.

  • Kim, Y., & Ham, Y. (2024). Spatio-temporal heat risk analysis in construction: Digital twin-enabled monitoring. Automation in Construction, 168. Elsevier.

  • Chae, Y., Gupta, S., & Ham, Y. (2024). Divergent effects of visual interfaces on teleoperation for challenging jobsite environments. Automation in Construction, 167. Elsevier.

  • Hong, S., Choi, B., Ham, Y., Jeon, J., & Kim, H. (2024). Massive-scale construction dataset synthesis through Stable Diffusion for machine learning training. Advanced Engineering Informatics, 62. Elsevier.

  • Kim, Y., & Ham, Y. (2024). From public forecasts to occupational heat safety management: Evaluating the effectiveness of the National Weather Service’s operational heat risk forecasts. Environmental Health Insights. Sage.

  • Liang, C., Le, T., Ham, Y., Mantha, B., & Cheng, M. (2024). Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry. Automation in Construction, 162. Elsevier.

  • Kim, Y., & Ham, Y. (2024). Revealing the impact of heat radiation on construction: A microclimate simulation utilizing meteorological data and geometric modeling. Journal of Construction Engineering and Management, 150(4). ASCE.

  • Liu, D., Kim, J., & Ham, Y. (2023). Multi-user immersive environment for excavator teleoperation in construction. Automation in Construction, 156. Elsevier.

  • Kim, B., & Ham, Y. (2023). Personal thermal comfort modeling based on facial expression. Journal of Building Engineering, 75(15). Elsevier.

  • Cai, Z., Newman, G., Lee, J., Ye, X., Retchless, D., Zou, L., & Ham, Y. (2023). Simulating the spatial impacts of a coastal barrier in Galveston Island, Texas: A three-dimensional urban modeling approach. Natural Hazards and Risk, 14(1). Taylor & Francis.

  • Hong, S., Ham, Y., Chun, J., & Kim, H. (2023). Productivity measurement through IMU-based detailed activity recognition using machine learning: A case study of masonry work. Sensors, 23(17). MDPI.

  • Kim, J., Nirjhar, E., Lee, H., Chaspari, T., Lee, C., Ham, Y., Winslow, J., & Ahn, C. R. (2023). Location-based collective distress using large-scale biosignals in real life for walkable built environments. Scientific Reports, 13. Nature.

  • Liu, D., Shahid, Z., Tung, Y.-H., Muliana, A., Ham, Y., Kalantar, N., Chaspari, T., Green, E., & Hubbard, J. (2023). Tunable acoustic properties in reconfigurable kerf structures. Journal of Architectural Engineering, 29(3). ASCE.

  • Lee, S., & Ham, Y. (2023). Measuring the distance between trees and power lines under wind loads to assess the heightened potential risk of wildfire. Remote Sensing, 148. MDPI.

  • Hong, S., Yoon, J., Ham, Y., Lee, B., & Kim, H. (2023). Monitoring safety behaviors of scaffolding workers using Gramian angular field convolution neural network based on IMU sensing data. Automation in Construction, 148. Elsevier.

  • Kim, M., Ham, Y., Koo, C., & Kim, T. (2023). Simulating travel paths of construction site workers via deep reinforcement learning considering their spatial cognition and wayfinding behavior. Automation in Construction, 147. Elsevier.

  • Ye, X., Han, Y., Newman, G., Retchless, D., Zou, L., Ham, Y., & Cai, Z. (2023). Developing human-centered urban digital twins for community infrastructure resilience: A research agenda. Journal of Planning Literature. SAGE.

  • Kamari, M., Kim, J., & Ham, Y. (2022). Analyzing safety risk imposed by jobsite debris to nearby built environments via geometric digital twins and vision-based deep learning. Journal of Computing in Civil Engineering, 36(6). ASCE.

  • Lee, J., Ham, Y., Park, H., & Kim, J. (2022). Challenges, tasks, and opportunities in teleoperation of excavator towards human-in-the-loop construction automation. Automation in Construction, 135. Elsevier.

  • Kim, J., Ham, Y., & Park, H. (2022). Underground metal pipeline localization using low-cost wireless magnetic sensors mounted on an excavator. IEEE Transactions on Industrial Electronics. IEEE.

  • Kamari, M., & Ham, Y. (2022). AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning. Automation in Construction, 134. Elsevier.

  • Kim, J., Nirjhar, E., Kim, J., Chaspari, T., Ham, Y., Winslow, J., Chanam, L., & Ahn, C. (2022). Capturing environmental distress of pedestrians using multimodal data: The interplay of bio-signals and image-based data. Journal of Computing in Civil Engineering, 36(2). ASCE.

  • Kim, J., Kamari, M., Lee, S., & Ham, Y. (2021). Large-scale visual data-driven probabilistic risk assessment of utility poles regarding the vulnerability of power distribution infrastructure systems. Journal of Construction Engineering and Management, 147(10). ASCE.

  • Lee, J., Ham, Y., & Yi, J. (2021). Construction disputes and associated contractual knowledge discovery using unstructured text-heavy data: Legal cases in the United Kingdom. Sustainability, 13(16). MDPI.

  • Lee, S., & Ham, Y. (2021). Probabilistic framework for assessing vulnerability of power distribution infrastructure systems in extreme weather toward community resilience. Sustainable Cities and Society, 65. Elsevier.

  • Zanwar, P., Kim, J., Kim, J., Manser, M., Ham, Y., Chaspari, T., & Ahn, C. (2021). Use of connected technologies to assess barriers and stressors for age and disability-friendly communities. Frontiers in Public Health.

  • Kim, H., & Ham, Y. (2021). Increasing reliability of participatory sensing for utility pole condition assessment using fuzzy inference. Journal of Construction Engineering and Management, 147(1). ASCE.

  • Kamari, M., & Ham, Y. (2021). Vision-based volumetric measurements via deep learning-based point cloud segmentation for material management in jobsites. Automation in Construction, 121. Elsevier.

  • Lee, J., & Ham, Y. (2021). Physiological sensing-driven personal thermal comfort modelling in consideration of occupant activity variations. Building Research & Information. Taylor & Francis.

  • Ham, Y., & Kim, J. (2020). Participatory sensing and digital twin city: Updating virtual city models for enhanced risk-informed decision-makings. Journal of Management in Engineering, 36(3). ASCE.

  • Lee, S., Park, M., Lee, H., & Ham, Y. (2020). Impact of demand-side response on community resilience: Focusing on a power grid after seismic hazards. Journal of Management in Engineering, 36(6). ASCE.

  • Lee, J., Ham, Y., Yi, J., & Son, J. (2020). Effective risk positioning through automated identification of missing contract conditions from the contractor’s perspective: Based on FIDIC contract cases. Journal of Management in Engineering, 36(3). ASCE.

  • Kim, H., & Ham, Y. (2019). Participatory sensing-based geospatial localization of distant objects for disaster preparedness in urban built environments. Automation in Construction, 107. Elsevier.

  • Ham, Y., & Kamari, M. (2019). Automated content-based filtering for enhanced vision-based documentation in construction toward exploiting big visual data from drones. Automation in Construction, 105. Elsevier.

  • Yoon, H., Han, K., & Ham, Y. (2019). A framework of human-motion based structural dynamics simulation using mobile devices. Sensors, 19(15). MDPI.

  • Kim, H., Ham, Y., Kim, W., Park, S., & Kim, H. (2019). Vision-based nonintrusive context documentation for earthmoving productivity simulation. Automation in Construction, 102. Elsevier.

  • Kim, J., Ham, Y., Chung, Y., & Chi, S. (2019). Systematic camera placement framework for operation-level visual monitoring on construction jobsites. Journal of Construction Engineering and Management, 145(4). ASCE.

  • Jeon, J., Lee, J., & Ham, Y. (2019). Quantifying the impact of building envelope condition on energy use. Building Research & Information, 47(4). Taylor & Francis.

  • Yoo, W., Ozer, H., & Ham, Y. (2019). A system-level approach for identifying main uncertainty sources in pavement construction life-cycle assessment for quantifying environmental impacts. Journal of Construction Engineering and Management, 145(2). ASCE.

  • Kim, H., Bang, S., Jeong, H., Ham, Y., & Kim, H. (2018). Analyzing context and productivity of tunnel earthmoving processes using imaging and simulation. Automation in Construction, 92. Elsevier.

  • Ham, Y., & Yoon, H. (2018). Motion and visual data-driven distant object localization for field reporting. Journal of Computing in Civil Engineering, 32(4). ASCE.

  • Ramachandra, B., Monroe, J., Nawathe, P., Han, K., Ham, Y., & Vatsavai, R. (2018). Real-time energy audit of built environments: Simultaneous localization and thermal mapping. Journal of Infrastructure Systems, 24(3). ASCE.

  • Balali, V., Yaseri, K., & Ham, Y. (2017). Algorithmic development of life-cycle assessment: Application of urban water infrastructure systems in Iran. KSCE Journal of Civil Engineering, 21(5). Springer.

  • Choi, H., Ham, Y., & Popovics, J. S. (2016). Integrated visualization for reinforced concrete using ultrasonic tomography and image-based 3D reconstruction. Construction and Building Materials, 123. Elsevier.

  • Lee, J., & Ham, Y. (2016). Impact analysis on the variations of the thermo-physical property of building envelopes and occupancy in building energy performance assessment. Procedia Engineering, 145, 556–564. Elsevier.

  • Yoon, H., Ham, Y., Golparvar-Fard, M., & Spencer, B. F. Jr. (2016). Forward-backward approach for 3D event localization using commodity smartphones for ubiquitous context-aware applications in civil and infrastructure engineering. Computer-Aided Civil and Infrastructure Engineering, 31, 245–260. Wiley.

  • Ham, Y., Han, K., Lin, J., & Golparvar-Fard, M. (2016). Visual monitoring of civil infrastructure systems via camera-equipped UAVs: A review. Visualization in Engineering, 4(1). Springer.

  • Ham, Y., & Golparvar-Fard, M. (2015). BIM and thermographic sensing: Reflecting the as-is building condition in energy analysis. Journal of Construction Engineering and Project Management, 5(4), 16–22. KICEM.

  • Ham, Y., & Golparvar-Fard, M. (2015). 3D thermography-based method for cost-benefit analysis of energy efficiency building envelope retrofits. Journal of Computing in Civil Engineering, 29(4). ASCE.

  • Cho, Y., Ham, Y., & Golparvar-Fard, M. (2015). 3D as-is building energy modeling and diagnostics: A review of the state-of-the-art. Advanced Engineering Informatics, 29(2), 184–195. Elsevier.

  • Ham, Y., & Golparvar-Fard, M. (2015). Mapping actual thermal properties to building elements in gbXML-based BIM for reliable building energy performance modeling. Automation in Construction, 49, 214–224. Elsevier.

  • Ham, Y., & Golparvar-Fard, M. (2014). 3D visualization of thermal resistance and condensation problems using infrared thermography for building energy diagnostics. Visualization in Engineering, 2(1). Springer.

  • Golparvar-Fard, M., & Ham, Y. (2014). Automated diagnostics and visualization of potential energy performance problems in existing buildings using EPAR models. Journal of Computing in Civil Engineering, 28(1), 17–29. ASCE.

  • Ham, Y., & Golparvar-Fard, M. (2013). EPAR: Energy performance augmented reality models for identification of building energy performance deviations between actual measurements and simulation results. Energy and Buildings, 63, 15–28. Elsevier.

  • Ham, Y., & Golparvar-Fard, M. (2013). An automated vision-based method for rapid 3D energy performance modeling of existing buildings using thermal and digital imagery. Advanced Engineering Informatics, 27(3), 395–409. Elsevier.

  • Park, M., Ingawale-Verma, Y., Kim, W., & Ham, Y. (2011). Construction policymaking: Singaporean government’s policy to diffuse prefabrication to private sector. KSCE Journal of Civil Engineering, 15(5), 771–779. Springer.

  • Park, M., Ham, Y., Lee, H. S., & Kim, W. (2010). Development of design process management model using dependency structure matrix for constructability. Korean Journal of Construction Engineering and Management, 11(5), 65–74. KICEM

 

  • Human-Robot Interface for Extraterrestrial Construction, 2023.01–2026.12, National Science Foundation (NSF)

  • The Future of Teleoperation in Construction Workplaces, 2021.01–2025.05, National Science Foundation (NSF)

  • Research Experiences for Undergraduates (REU): The Future of Teleoperation in Construction Workplaces, 2023.03–2025.05, National Science Foundation (NSF)

  • Digital Twin City for Age-friendly Communities: Crowd-biosensing of Environmental Distress for Older Adults, 2021.10–2026.03, National Science Foundation (NSF)

  • Improving Undergraduate Education in Civil & Building Engineering through Student-centric CPS and Real-world Problems, 2020.10–2024.09, National Science Foundation (NSF)

  • Synchronizing Decision-Support via Human- and Social-centered Digital Twin Infrastructures for Coastal Communities, 2021.09–2024.08, National Science Foundation (NSF)

  • AI-driven Disaster Risk Prediction and Assessment, 2020.07–2023.03, National Science Foundation (NSF)

  • Uncovering Potential Risks of Wind-induced Cascading Damages to Construction Projects and Neighboring Communities, 2017.01–2021.12, National Science Foundation (NSF)

  • REU: Uncovering Potential Risks of Wind-induced Cascading Damages to Construction Projects and Neighboring Communities, 2019.02–2021.12, National Science Foundation (NSF)

  • Behavior Analysis of Socially Vulnerable Households Responding to Planned Power Shutoffs, 2020.08–2021.08, Natural Hazards Center (NSF )

  • Guidance for the Use of UAS During Suboptimal Environmental Conditions, 2020.01–2021.08, Texas Department of Transportation (TxDOT)

  • Building PreK-12 School Resilience in the Face of COVID-19, 2021.01–2021.06, National Science Foundation (NSF)

  • Elevate, Integrate, and Document Research for Architecture and Technologies to Support an Integrated RADAS Framework, 2020.08–2020.12, U.S. Department of Defense (AFCEC)

  • C-HEaRT: Center for Healthy, Equitable, and Resilient Transportation + Environment in Texas, 2024.03–2026.02, Texas A&M University Division of Research

  • Leveraging Human-Building Interaction for Occupant Comfort and Productivity, 2021.01–2023.06, Texas A&M University President’s Excellence Fund (T3)

  • Improving Undergraduate Education in Construction & Building Science, 2019.11–2022.10, Center for Teaching Excellence

  • Digital Twin City for Age-friendly Communities, 2019.09–2022.08, Texas A&M University X-Grant Program

  • Boosting Workplace Productivity: Data-driven Framework for Enhancing Occupant Environmental Comfort, 2019.09–2021.12, Texas A&M Institute of Data Science (TAMIDS)

  • Intelligent Psychoacoustic Space for Health and Well-being, 2020.09–2021.08, Innovation [X] Program

  • Wearable Sensing Framework for Examining the Effect of Built Environments on Human Performance, 2019.01–2020.12, Texas A&M University President’s Excellence Fund (T3)

  • Adaptive Responsive Environments for Physical and Mental Health, 2019.09–2020.11, Innovation [X] Program

  •  

  • Thomas Fitch Rowland Prize, American Society of Civil Engineers (ASCE), 2025

  • Best Paper Award, ASCE Construction Research Congress, 2024

  • Outstanding Leadership Award, Korean-American Construction Engineering and Project Management Association (KACEPMA), 2024

  • J. Thomas Regan Interdisciplinary Faculty Award, Texas A&M University, 2023

  • Best Paper Award, The 9th International Conference on Construction Engineering and Project Management (ICCEPM), 2022

  • History Maker Homes Endowed Professorship, Texas A&M University, 2021

  • Research Excellence Award, Department of Construction Science, Texas A&M University, 2021

  • Best Paper Award, ASCE Journal of Management in Engineering, 2020

  • Junior Faculty Award, Korean-American Construction Engineering and Project Management Association (KACEPMA), 2020

  • Montague-CTE Faculty Award, Texas A&M University, 2019

  • ASCE ExCEEd Teaching Fellow, American Society of Civil Engineers (ASCE), 2019

  • Outstanding Reviewer, ASCE Journal of Construction Engineering and Management, 2018, 2016

  • Outstanding Reviewer, ASCE Journal of Computing in Civil Engineering, 2017, 2016

  • Best Paper Award, The 6th International Conference on Construction Engineering and Project Management (ICCEPM), 2015

  • FIATECH CETI Award, FIATECH, 2015

  • FIATECH Scholarship, FIATECH, 2015, 2013

  • Chester P. Siess Award, University of Illinois Urbana-Champaign, 2014

  • Best Poster Award (Third Place), ASCE Construction Research Congress, 2014

  • Construction Management Association of America (CMAA) Scholarship, CMAA Chicago & National Capital Chapter, 2014, 2012

  • Best Paper Award Runner-up, ASCE International Workshop on Computing in Civil Engineering, 2012

  • CMAA National Foundation Scholarship (Nationally Competitive), CMAA Foundation, 2012

  • Korean-American Scientists and Engineers Association Graduate Scholarship, KSEA, 2012

  • Vecellio Fellowship, Virginia Tech, 2011

  • Cum Laude Bachelor’s Degree, Seoul National University, 2009

  • Best Paper Award, Korea Institute of Construction Engineering and Management (KICEM) Conference, 2008

  • National Science & Technology Scholarship, Korea Student Aid Foundation (KOSAF), 2004

  • Merit-based Scholarship, Seoul National University, 2003–2010

  • 산업일보, 2025.08.05 — “[건설, 로봇과의 상생 실현이 열쇠 ③] 건설로봇, 피지컬AI 기반으로 선보여진다”

  • 마이데일리, 2025.02.26 — “한국건설안전학회, ‘스마트 기술, 건설산업 안전수준 향상 대안 될 것’” 

(샘플)