Situation Room Infrastructure

Situation Room Infrastructure

Project Description

This Situations Room Infrastructure (SRI) is the core of the technical innovations developed for cognitive and immersive rooms. This infrastructure enables multimodal group-computers dialog, learning and understanding of group activities, reasoning, planning and facilitation of collaborative decision-making. The first use case enabled by the SRI is in the area of mergers and acquisitions. The technologies from the project have laid the foundation for all other CISL use cases.


Hui Su
Project Director | Founding Director, CISL
Human Computer Interaction, Cognitive User Experience, Visual Analytics, Cloud Computing, Neural Networks
Jonas Braasch
Co-Principal Investigator, Tone & Pitch Analysis Technology | Professor/Director of Operations
Spatial Hearing, Intelligent Music Systems
Qiang Ji
Computer Vision | Professor
Computer Vision, Probabilistic Graphical Models, Machine Learning, Affective Computing, Human Behavior and State Modeling, Monitoring, and Recognition , Natural Human and Machine Interactions , Active Information Fusion for Situation Awareness and Decision Making under Uncertainty
Shawn Lawson
User Experience & Visualization Design | Professor and Department Head, Arts
live coding, realtime graphics, art and machine learning, computational sublime, visualization

Research Staff

david allen
User Experience & Visualization Design | Research Associate
Computational Design, Visualization, Natural Interfaces, Live Performance
Jeffrey O. Kephart
System Design & Development | Distinguished Research Staff Member
Autonomic Computing, Neural Networks, Machine Learning, Energy Consumption


Jon Mathews
Spherical microphone array | Ph.D. Candidate, Architecture
Spherical microphone array
Xiangyang Mou
Developer | Ph.D., Computer Systems Engineering
Deep Learning, Multimodality, NLP, HCI
Matthew Peveler
Reasoning & Planning | Ph.D. Candidate, Computer Science
The usage of theory of mind reasoning and planning in cognitive and immersive systems