Civil Engineering Program
June 7th
- session title -
- 9:00-9:30 -
- 9:30-10:00 -
- 10:00-10:30 -
- break -
- 11:00-11:30 - Sam Coogan (Georgia Institute of Technology) – “Low-Rank Structure in Traffic Flow”
- 11:30-12:00 - Sean Qian (CMU) – “Estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data”
- 12:00-12:30 -
- 12:30-1:30 - lunch/posters
- 1:30-2:30 - plenary
- session title -
- 2:30-3:00 - Lucio Soibelman (University of Southern California) – “A Talk on Data Management Research with Emphasis on Smart Buildings”
- 3:00-3:30 - José Vázquez-Canteli (University of Texas, Austin) – “Deep Reinforcement Learning for Urban Energy Management”
- 3:30-4:00 - Burcu Akinci (Carnegie Mellon University) – “Creation and Update of Building Information Models from 3D Imaging Technologies and Existing Data Sources to Support Facility Operations and Management”
- break -
- 4:30-5:00 - Mani Golparvar-Fard (University of Illinois at Urbana-Champaign) – “Visual Data and Predictive Analytics for Proactive Project Controls on Construction Sites”
- 5:00-5:30 - Mario Berges (Carnegie Mellon University) – “TBA”
- 5:30-6:00 - Henning Lange (Carnegie Mellon University) – “Variational State Estimation for Time Series encountered in the Building Domain”
June 8th
- session title
- 9:00-9:30 - Charles Farrar (Los Alamos National Laboratory) – “Unsupervised Learning Approaches to Structural Health Monitoring Data Normalization”
- 9:30-10:00 - Milad Memarzadeh (UC Berkeley) – “Quantifying resilience of infrastructure systems to extreme events”
- 10:00-10:30 - Ankit Agarwal (Northwestern University) – “Deep Transfer Learning Based Pavement and Structural Health Monitoring”
- break
- 11:00-11:30 - Mohammad Jahanshahi (Purdue University) – “Deep Convolutional Neural Network and Naïve Bayes Data Fusion for Crack Detection in Inspection Videos”
- 11:30-12:00 - Jingxiao Liu (Carnegie Mellon University) – “A Damage Localization and Quantification Algorithm for Indirect Structural Health Monitoring of Bridges Using Multi-Task Learning”
- 12:00-12:30 - Xinghzheng Lu (Tsinghua University) – “Improving the accuracy of near-real-time seismic loss estimation using post-earthquake remote sensing images and logistic classification method
- 12:30-1:30 - lunch/posters
- 1:30-2:30 - plenary
- session title -
- 2:30-3:00 -
- 3:00-3:30 -
- 3:30-4:00 -
- break -
- 4:30-5:00 -
- 5:00-5:30 -
Posters
Ivan Mutis (Illinois Institute of Technology, Chicago) – “ON THE IMPROVED ESTIMATION OF LIVING SPACE OCCUPANCY USING HUMAN POSES INFERRED WITH COMPUTER VISION AND DEEP LEARNING TO AUTOMATE COMFORT CONTROLS”
Fabricio Flores (Carnegie Mellon University) – “People counting in indoor environments for improving energy efficiency of HVAC systems”
Zhiang Zhang (Carnegie Mellon University) – “A Deep Reinforcement Learning Approach to Using Whole Building Energy Model for Energy Efficient and Thermal Comfort Control of a Radiant Heating System”
Jingxiao Liu (Carnegie Mellon University) – “A Damage Localization and Quantification Algorithm for Indirect Structural Health Monitoring of Bridges Using Multi-Task Learning”
Yongjia Xu (Tsinghua University) – “Improving the accuracy of near-real-time seismic loss estimation using post-earthquake remote sensing images and logistic classification method”
Zhen Liu (Michigan Technological University) – “Deep Learning with Convolutional Neural Network for the Stability Analysis of Geosystems”