
Conference Program
Wednesday, November 13, 2019
8:00 – 8:30
Registration
8:30 – 9:30
Joint Keynote: Enabling the SmartGrid with IoT Sensors and Edge-Cloud Analytics
Speaker: Dr. Prabal Dutta (Electrical Engineering and Computer Sciences, University of Calfornia, Berkeley)
Speaker: Dr. Prabal Dutta (Electrical Engineering and Computer Sciences, University of Calfornia, Berkeley)
9:30 – 10:30
Joint Poster/Demo 1-min Madness Session 10:30 – 12:00
Joint Poster/Demo Session
12:00 – 13:00
Lunch
13:00 – 13:20
Openning
13:20 – 14:20
Session I: Smart Cities (Session Chair: Jorge Ortiz)
- One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification
- Smart Surface Classification for Accessible Routing through Built Environment - A Crowd-sourced Approach
- COLTRANE: ConvolutiOnaL TRAjectory NEtwork for DeepMap Inference
- City Scale Monitoring of On-Street Parking Violations with StreetHAWK
14:20 – 14:40
Break
14:40 – 15:55
Session II: Thermal Comfort (Session Chair: Shijia Pan)
- Hot or Not: Leveraging Mobile Devices for Ubiquitous Temperature Sensing
- DUET: Towards a Portable Thermal Comfort Model
- Heterogeneous Transfer Learning for Thermal Comfort Modeling
- Skin Temperature Extraction Using Facial Landmark Detection and Thermal Imaging for Comfort Assessment
- OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information
15:55 – 16:15
Break
16:15 – 17:25
Session III: IoT and Inference in Buildings (Session Chair: Rishee Jain)
- Abstracting Interactions with IoT Devices Towards a Semantic Vision of Smart Spaces
- RemedIoT: Remedial Actions for Internet-of-Things Conflicts Requirements of Building Applications
- Evaluation of Clustering and Time Series Features for Point Type Inference in Smart Building Retrofit
- Notes Paper: Who can Access What, and When? Understanding Minimal Access
- Beyond a House of Sticks: Formalizing Metadata Tags with Brick
17:30 – 18:30
Business Meeting
19:00 – 20:00
Welcome Reception
Thursday, November 14, 2019
8:00 – 8:30
Registration
8:30 – 9:30
Keynote: Context Driven Analytics and AI for Infrastructure and Facility Management
Speaker: Dr. Burcu Akinci (Civil and Environmental Engineering, Carnegie Mellon University)
Speaker: Dr. Burcu Akinci (Civil and Environmental Engineering, Carnegie Mellon University)
9:30 – 9:50
Break
9:50 – 10:50
Session IV: Smart Spaces (Session Chair: Burak Gunay)
- AIM3S: Autonomous Inventory Monitoring through Multi-Modal Sensing for Cashier-Less Convenience Stores
- Notes Paper: Good to see you again: Capture and recapture method on mobile devices to estimate occupancy profiles
- Fine-Grained Activities of Daily Living Recognition through Structural Vibration and Electrical Sensing
- Notes Paper: Electricity Consumption Data Sets: Pitfalls and Opportunities
- Abstract Paper: Future Industrial Kitchen: Challenges and Opportunities
10:50 – 11:10
Break
11:10 – 12:00
Session V: Sustainable and Resilient Mobility (Session Chair: Mario Berges)
- Notes Paper: Urban Transportation System Diversity and Resilience Coupling using Large-scale Taxicab Data
- Ride the Tide of Traffic Conditions: Opportunistic Driving Improves Energy Efficiency of Timely Truck Transportation
- Notes Paper: Tracking the Evolution of Public Transport Demand using Spatial-Social-Temporal Contexts
- Notes Paper: TripAware: Emotional and Informational Approaches to Encourage Sustainable Transportation via Mobile Applications
- Abstract Paper: A Missing Link between Urban Mobility and Wellbeing
12:00 – 13:15
Lunch
(12:15 – 13:05)
Tutorial: Building Metadata Normalization with Plaster
Organizers: Jason Koh, Dezhi Hong, Rajesh Gupta (University of California, San Diego), Yuvraj Agarwal (Carnegie Mellon University)
Organizers: Jason Koh, Dezhi Hong, Rajesh Gupta (University of California, San Diego), Yuvraj Agarwal (Carnegie Mellon University)
13:15 – 14:40
Session VI: Learning and Discovery in Buildings (Session Chair: Dan Wang)
- Notes Paper: Sequential Learning with Active Partial Labeling for Metadata in Buildings
- Towards reproducible state-of-the-art energy disaggregation
- Learning from Correlated Events for Equipment Relation Inference in Buildings
- Machine Learning-based Irrigation Control Optimization
- Comparing Gray Box Methods to Derive Building Properties from Smart Thermostat Data
- SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction
14:40 – 15:10
Break
15:10 – 16:20
Session VII: Energy at Scale (Session Chair: Neda Mohammadi)
- GridInSight: Monitoring Electricity Using Visible Lights
- Building an Online Defect Detection System for Large-scale Photovoltaic Plants
- Notes Paper: Semantic search in household energy consumption segmentation through descriptive characterization
- Data-Driven Energy and Population Estimation for Real-Time City-Wide Energy Footprinting
- One for all, All for one - a scalable decision-making framework for demand response with a district cooling plant
16:20 – 16:40
Break
16:40 – 17:55
Session VIII: Smart Building Control (Session Chair: Gyorgy Zoltan Nagy)
- Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation
- Development of a clustering-based morning start time estimation algorithm for space heating and cooling
- Control of Air Free-Cooled Data Centers in Tropics via Deep Reinforcement Learning
- Gnu-RL: A Precocial Reinforcement Learning Solution for Building HVAC Control Using a Differentiable MPC Policy
- OCTOPUS: Deep Reinforcement Learning for Holistic Smart Building Control
17:55 – 18:15
Award and Closing
List of accepted posters
- Poster Abstract: Peak Demand Reduction using Energy Storage System for Demand Response
- Poster Abstract: Investigating occupancy profiles using convolutional neural networks
- Poster Abstract: Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations
- Poster Abstract: The Standby Energy in Smart Homes: Problems, Progress & Potential
- Poster Abstract: Generative Interior Design using BIM
- Poster Abstract: Coordinated Scheduling of Residential Appliances and Heterogeneous Energy Sources in a Smart Microgrid
- Poster Abstract: On Electrical Load Disaggregation using Recurrent Neural Networks
- Poster Abstract: Electrical Load Disaggregation using a two-stage deep learning approach
- Poster Abstract: Beyond Smart Deployment: Enforcing Accountability in Built-in IoT environment
- Poster Abstract: Predicting Impact of Cooling Set-Point Change on Demand Reduction in Real-time
- Poster Abstract: Capturing Regularity of ADL Routines Using Hierarchical Clustering Models
- Poster Abstract: Measuring Routine Variability of Daily Activities with Image Complexity Metrics
- Poster Abstract: Monitoring Electric Grid Reliability Using Satellite Data
- Poster Abstract: Towards Adaptive Anomaly Detection in Buildings withDeep Reinforcement Learning
- Poster Abstract: Indoor Path Planning and Decentralized Access Control in Commercial Buildings
- Poster Abstract: Exploiting Multiple Receivers for CSI-Based Activity Classification Using A Hybrid CNN-LSTM Model
- Poster Abstract: Towards Class-Balancing Human Comfort Datasets with GANs
- Poster Abstract: Energy Exchange Model in Routed Energy Distribution Network
List of accepted demos
- Demo Abstract: Interactive Building Metadata Normalization with Plaster
- Demo Abstract: No Time to Waste, with SWAM!
- Demo Abstract: A toolkit for low-cost thermal comfort sensing
- Demo Abstract: BESOS - a Collaborative Building and Energy Simulation Platform
- Demo Abstract: SemIoTic: Bridging the Semantic Gap in IoT Spaces
- Demo Abstract: CityLearn v1.0: an OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning
- Demo Abstract: A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK
- Demo Abstract: Lightweight, Deep RNNs for Radar Classification
- Demo Abstract: Solar-TK: A Data-driven Toolkit for Solar PV Performance Modeling and Forecasting
- Demo Abstract: An Improved API and User Experience for the Mortar Testbed
- Demo Abstract: Online Path and Speed Planning Platform for Energy-Efficient Timely Truck Transportation
- Demo Abstract: Colloidal Luminaries for Architectural Lighting
- Demo Abstract: Autonomous Inventory Monitoring through Multi-Modal Sensing (AIM3S) for Cashier-Less Stores