what a mouse can do while a cat is sleeping Jean Oh J e a n     O h


I am a Ph.D. student at Language Technologies Institute, School of Computer Science, Carnegie Mellon University, and my advisor is professor Stephen F. Smith. My general research interests lie in the area of Artificial Intelligence, and my primary focus is on reasoning, learning, and scheduling in multi-agent environment.

     In what language Oh is a homophone with the number 5? Jean Oh

Contact Information:
j e a n o h @ cs.cmu.edu
Language Technologies Institute   
School of Computer Science
Carnegie Mellon University
5000 Forbes Ave.
Pittsburgh, PA 15213
NSH 1502F
(412) 268-5921
Fax: (412) 268-5569

Academic & professional
Publications | ICLL | LTI | SCS | ISI | Bell Labs | Columbia U. | Yonsei U.

@CMU Calendar (S'08) | Library | Campus Map

Living in Pittsburgh
Go, Steelers, Defense, Defense! Weather | PGH Cultural Trust | Heinz Hall seating chart | Lauri Ann Library | 89.3 WQED | 91.3 WYEP | Schickele Mix
Current Projects @CMU

CMRADAR CMRADAR | RADAR (2004 ~ present)

"Radar, Radar, what do you see? I see CALO looking at me."

CMRadar is a multi-agent scheduling system in which a scheduling agent learns its master user's scheduling preferences by observing a series of meeting scheduling episodes.

This framework has been extented to solve a highly constrained room finding problem under a crisis scenario in which CMRadar efficiently selects room options which minimizes the number of bumping (preemption) requests by learning room owners' willingness to give up a room upon a request.

 

Interdisciplinary collaboration: AI in urban planning (2006 ~ )

Jie-Eun Hwang In this project, we explore opportunities of applying Artificial Intelligence in urban design/planning problems. This project is a joint work with my friend and collaborator, Jie-Eun Hwang at Graduate School of Design, Harvard University (now at Northeastern University). (We used to play in the same orchestra many years ago. She is a great timpanist, and I am a "not so great yet trying hard" violinist. We still enjoy working in harmony.)

Nolli Map Heuristic Nolli Map (Demo)

 

Main Streets in Boston Finding Main Streets

As an illustrative example of using machine learning techniques in urban design problems we have developed an interactive design decision support system that can assist designers to identify a certain type of urban setting, a candidate Main Street, by utilizing active learning algorithms. A Main Street represents a commercial district in the center of a residential area that has potential for revitalization, and its selection criteria is based on complex architectural and socioeconomic features of its vicinity.

 

New Orleans before hurricane Katrina New Orleans after hurrican Katrina RAISE (Representativa Agents in Intelligent Survey Environment)

Recent catastrophic disasters such as hurricane Katrina have brought increasing concerns on disaster management and hazard mitigation. RAISE is an agent-based urban planning decision support system in aid of post-disaster recovery and reconstruction. In particular, we are interested in resolving the NIMBY (not in my back yard) dilemma raised in many urgent siting issues in post-disaster settings.
Related sites: FEMA, HUD, American Planning Association

 

Teaching Assistant experience
  • Artificial Intelligence: Representation and Problem Solving, 15-381, Spring 2008
  • Advanced Artificial Intelligence: 15-780/16-731, Spring 2005


Projects in the past @ISI, Marina del Rey, CA
Electric Elves Electric Elves
Heracles Heracles


Projects in the Stone Age

Fellini Fellini Multimedia Storage System @Bell Labs.
Digital Dante Digital Dante @Columbia U.


Memento mori