Faculty

Mani Golparvar-Fard

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

Email: mgolpar [at] illinois[dot] edu


Graduate Students

Youngjib Ham

Youngjib Ham

Youngjib Ham

Youngjib received his B.S. with honors and M.S. from Seoul National University in 2009 and 2011. He is currently a Ph.D. Candidate in Civil & Environmental Engineering at University of Illinois at Urbana-Champaign. Recently, as a simultaneous degree, he received M.S. in Computer Science in 2014 from University of Illinois at Urbana-Champaign. Youngjib’s research primarily focuses on 3D multimodal vision-based building energy diagnostic and retrofit analysis, BIM-based performance analysis, and civil infrastructure condition assessment. Youngjib was awarded the Chester P. Siess Award in 2014 on the basis of scholastic achievement, and interest and promise in research.

Email: yham4 [at] illinois[dot] edu


Vahid Balali

Vahid Balali

Vahid Balali

Vahid is currently a PhD candidate of Construction Engineering and Management Program at Civil and Environmental Engineering Department at University of Illinois at Urbana-Champaign. He is currently conducting his PhD research in Real-time And Automated Monitoring And Control (RAAMAC) Lab. His background includes a Master of Science in Civil Engineering in the area of Construction Engineering and Management from Virginia Tech and Bachelor of Science in Civil Engineering from University of Tehran. He also has three years of industry experience in the field of Transportation and Logistics, Construction Engineering, and Project Planning and Control.

Email: balali2 [at] illinois [dot] edu

Website


Andrey Dimitrov

Andrey Dimitrov

Andrey Dimitrov

Andrey Dimitrov is a PhD student in Civil Engineering at Columbia University. He was born in Bulgaria and lived Venezuela before arriving to Canada as a teenager. He received an undergraduate degree in architecture from McGill University in 2006, a Master's in Architecture from MIT in 2009, and recently completed a M.S. in computer science from Columbia University. He has worked on large scale architectural projects for firms in Montreal, Canada and Boston, MA.

His ongoing research focuses on automated generation of Building Information Models from unordered sets of photographs, laser scans, and other point cloud sources. He has formulated and implemented novel systems for texture recognition, point cloud segmentation, geometric model fitting, and visual database query. His research interests extend to various aspects of computational geometry and their impact on architectural, engineering, and construction practices.

Email: ad2895 [at] columbia [dot] edu

Portfolio


Kevin Han

Kevin Han

Kevin Han

Kevin Han is a PhD student in Civil Engineering and a Master of Computer Science student at the University of Illinois, Urbana-Champaign. He received a B.A in Architecture from the University of California, Berkeley. He was involved in Samsung's Semiconductor plant project in Austin,TX for about a year before he going back to UC Berkeley. After getting his M.S. in Civil Engineering from UC Berkeley, he joined RAAMAC to continue his education. 

His research focuses on automated vision-based methods for progress monitoring and quality control (QA/QC). In his work, he leverages big visual data (images, videos, laser scanning and RGBD point cloud models) and he work on computer vision methods for automated assessment of work in progress to ultimately help the construction industry by streamlining several current construction management practice. 

Email: kookhan2 [at] illinois[dot] edu


Yeritza Perez

Yeritza Perez

Yeritza Perez

I am currently a Ph.D. student in Civil & Environmental Engineering at the University of Illinois at Urbana-Champaign.  I have received my B.S in Civil Engineering with a minor in Construction Management in 2011, and a M.S. in Civil Engineering with focus on Engineering and Construction Management in 2013, all from University of Puerto Rico at Mayaguez.

My research focus on computer vision condition assessment of existing facilities.  The methodology used in my interdisciplinary work involve four steps: big visual data acquisition, data modeling (point cloud segmentation and semantic labeling), data analytics (detection and assessment of surface distress) and data prediction.  

Email: yperez9 [at] illinois [dot] edu


Jacob Je-Chian Lin

Jacob Je-Chian Lin

Jacob Je-Chian Lin

Jacob Lin is a PhD student in Civil and Environmental Engineering at the University of Illinois, Urbana-Champaign. Before joining RAAMAC in 2014 fall, he received his dual BS in Civil Engineering and Bio-Industry Communication and Development and MS in Civil Engineering from National Taiwan University.

His research now focuses on leveraging emerging UAVs for data acquisition autonomously and conduct automated vision-based quality assessment and quality control on ongoing construction projects. His main goal is to provide inexpensive processes for as-built data acquisition, analysis and management that can significantly improve the current practice of quality inspections on construction sites.

Email: jlin67 [at] illinois [dot] edu

Website


Avinash Ahuja

Avinash Ahuja

Avinash Ahuja

Avinash Ahuja is a graduate student in Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. He has around two years of international work experience in the construction industry, where he developed the skills in project planning, scheduling, resource management and optimization.

He is extremely passionate about learning and optimization. His areas of interest are Project Management, Visual Sensing and Image Recognition, Optimization, Social and Economic Networks, Cloud Computing and Machine Learning. Currently, he is looking for internships and full time job opportunities in the fields of data analytics, consulting and technology management, where he can be an asset and further develop my skills and grow in these fields.

Email: aaahuja2 [at] illinois [dot] edu

Website


Banu Muthukumar

Banu Muthukumar

Banu Muthukumar

Banu Muthukumar is a MSc student in Civil Engineering in University of Illinois, Urbana-Champaign. Prior to joining RAAMAC lab, she has obtained her B.Tech in Civil Engineering from National Institute of Technology, Tiruchchirapalli from India.

She is exploring model fitting and representation of 3D point clouds using depth images for as-built modeling purposes. She also worked on methods to improve information access for Facility Management operations.

Email: muthkmr2 [at] illinois [dot] edu


Michael Sittig

Michael Sittig is currently a graduate student in Computer Science at the University of Illinois, Urbana-Champaign. He has received his BS in Computer Science from the University of Illinois at Urbana-Champaign. His work is focusing on automated identification of anchor cameras for a new model-assisted structure from motion procedure which can be used for as-built and as-planned representations.

Email: sittig2 [at] illinois [dot] edu


Nour Dabboussi

Nour Dabboussi is currently a graduate student in Civil and Environmental Engineering at the University of Illinois, Urbana-Champaign. He has received his BS in Civil Engineering from Virginia Tech and was a member of the RAAMAC lab at Virginia Tech. Nour's current research focuses on leveraging model-assisted visual sensing methods for improving the Control procedures in a Last Planner System by particularly improving information workflows and providing situational awareness in

Email: dabboss2  [at] illinois [dot] edu

 


Monica Chhatwani

Monica Chhatwani is a graduate student in Civil and Environmental Engineering at the University of Illinois, Urbana-Champaign, specializing in Sustainable and Resilient Infrastructure Systems(SRIS). Before starting her program at the University of Illinois in Fall 2014, she has obtained her B.Tech in Civil Engineering from Nirma University, Ahmedabad in India.  

Her research focuses on benchmarking and monitoring the embodied carbon footprint of building construction activities. This work aims to facilitate a framework for more informed decision making process for the contractors in terms of minimizing the environmental impact of construction operations. 

Email: chhatwa2 [at] illinois [dot] edu


Rongqi Gu

Rongqi Gu

Rongqi Gu

Rongqi Gu is currently a M.Sc. student in Civil and Environmental Engineering at the University of Illinois, Urbana-Champaign. He received his B.Sc. degree from Zhejiang University. He is currently working on a new method for fitting solid geometry into as-built point cloud models for as-built semantically-rich CAD modeling purposes.

Email: rgu3  [at] illinois [dot] edu