Mani Golparvar-Fard, Ph.D.
Dr. Mani Golparvar-Fard is Associate Professor and Faculty Entrepreneurial Fellow at Department of Civil and Environmental Engineering and Department of Computer Science and also the director of the RAAMAC lab at University of Illinois at Urbana-Champaign. He is also the co-founder and CEO of Reconstruct Inc, a Turner Construction Innovation award-winning startup company that focuses on producing the next generation of predictive visual data analytics for proactive production control on construction sites. He received his PhD in Civil Engineering and Master of Computer Science in 2010 from the University of Illinois, Urbana-Champaign, and earned his Master of Applied Science (MASc) in Civil Engineering in 2006 from the University of British Columbia. He also has received MSc and BSc in Civil Engineering from Iran University of Science and Technology.
more about Dr. Golparvar
e-mail: mgolpar [at] illinois[dot] edu
Yeritza is a graduate student pursuing a PhD degree in Construction Engineering and Management at the University of Illinois at Urbana-Champaign (UIUC).
The overall objective of her research is to create and validate an end-to-end procedure that leverages semantic and geometric information embedded in point cloud data to automatically produce semantically-rich 3D CAD models of the built environment.
e-mail: yperez9 [at] Illinois [dot] edu
Jacob is a PhD candidate in Civil and Environmental Engineering and a M.S. student in Computer Science.
His research focuses on using visual data to improve communication, coordination and planning in construction. Specifically, he is developing a visual production management system for proactive project controls on construction sites. The system continuously reconstructs and visualizes 4D Reality model, maps it directly with location-based 4D BIM and provides predictive data analytics.
e-mail: jlin67 [at] illinois [dot] edu
Shuai is a graduate student pursuing a PhD degree in Sustainable and Resilient Infrastructure Systems (SRIS) in Civil and Environmental Engineering, and a Master of Computer Science degree in Computer Science department at UIUC.
Shuai’s primary research interests are applications of Computer Vision, Deep Learning and Natural Language Processing in Construction Safety. Examples of these applications include automating visual safety inspection process, understanding construction workers’ interactions with their work environment through visual data, and grounding semantic safety entities in text to their visual correspondences. He is also interested in understanding the complex scenes in construction site images, especially on inferring past and future events given the current static images.
e-mail: stang30 [at] Illinois [dot] edu
Youyi is a graduate student pursuing a PhD degree in the Construction Management area of study in the Civil and Environmental Engineering Department.
He is currently conducting his PhD research in Real-time And Automated Monitoring And Control (RAAMAC) Lab. Youyi’s research primarily focuses on 3D vision-based construction personnel and on-site facility localization and automation. Augmented reality (AR)-based and BIM-driven construction site information exchange and delivery.
e-mail: feng41 [at] Illinois [dot] edu
Amir is a PhD student in the department of Construction Engineering and Management and a MCS student in the department of Computer Science at the University of Illinois at Urbana-Champaign.
Amir’s research focuses on automating the process of visual data collection on construction sites by utilizing model-driven path planning for autonomous navigation and visual data collection using robotic platforms (ex: ground and aerial robots). Amir also studies the quality and safety of visual data collection plans aiming to establish guidelines for construction visual data collection process.
e-mail: aaelsay2 [at] Illinois [dot] edu
Dominic is a graduate student pursuing a PhD degree in the Construction Management area of study in the Civil and Environmental Engineering Department.
His research focuses on utilizing state-of-the-art computer vision techniques for detecting, tracking and estimating the pose of resources on construction sites for safety monitoring and productivity assessment purposes.
e-mail: djrbrts2 [at] Illinois [dot] edu
Fouad is a PhD student in Construction Engineering and Management at the University of Illinois at Urbana Champaign. He graduated with a Masters of Science in Civil Engineering from the University of Illinois in 2016 and a Bachelor of Civil and Environmental Engineering from the Lebanese American University in Beirut in 2012. He has two years of design experience where he designed post-tensioned slabs and two years of field experience where he worked in scheduling and construction management with a general contractor.
Currently, Fouad is a Research Assistant at RAAMAC lab focussing on machine learning based “prescriptive data analytics” and on applications of SLAM and SfM based visualization techniques in the field of construction monitoring and control. He is also a Teaching Assistant for CEE320: Construction Engineering and Management.
e-mail: famer2 [at] illinois [dot] edu
Juan Diego Núñez
Juan Diego is a graduate student pursuing a PhD degree in Construction Engineering and Management at the University of Illinois at Urbana-Champaign (UIUC), same university from which he obtained Masters of Science in Construction Management in 2017, which he completed while being a Fulbright Student. Obtained his Bachelor of Science in Civil Engineering in 2010 back in his home country, Dominican Republic, at the Technological Institute of Santo Domingo. He has 2 years of work experience, working with several local companies from Dominican Republic, in which he had the opportunity of having the role of Project Manager and Site Superintendent for several public and private industrial, commercial and residential projects simultaneously.
Juan Diego is currently a Research Assistant at RAAMAC, focusing on the Proactive Forecasting of Construction Labor Productivity using Probabilistic Models and Machine Learning, as well as the Automation of Intelligent Data Gathering in Construction Sites for Productivity Tracking and Assessment using Computer Vision Methodologies.
e-mail: jdnunez2 [at] Illinois [dot] edu
Wilfredo is a graduate student pursuing a PhD degree in Construction Engineering and Management at the University of Illinois at Urbana-Champaign (UIUC). He is a dedicated researcher at RAAMAC lab supporting development in technology, science and innovation for construction progress control. His six-year plus of extensive expertise in construction management and recently completed Masters in Civil Engineering at UIUC balance his well-rounded background and understanding of Construction Engineering, and Project Planning and Control.
Wilfredo's research interest lies in automating vision-based methods for progress monitoring and productivity tracking. This work explores computer vision methods’ potential to lead to automatic construction monitoring and productivity assessment from visual data (pictures and videos).
e-mail: trrscld2 [at] Illinois [dot] edu
Yumo is MCS student in the department of Computer Science at the University of Illinois at Urbana Champaign where he also obtained a bachelor's degree in Civil and Environmental Engineering.
Yumo works in RAAMAC as an App Developer, 4D BIM Specialist, and Research Assistant for Flying Superintendent.
e-mail: yumochi2 [at] illinois [dot] edu
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