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PERSONAL DATA
Name:...........................Adam
T. Zagórecki
Office
Address:............'University
of Pittsburgh
....................................School
of Information Sciences
....................................B212
SIS Building
....................................135
North Bellefield Ave.
....................................Pittsburgh
PA, 15260
Telephone:.................
412-624-7378
Fax:.............................412-624-2788
E-Mail: .......................
WWW:.........................www.sis.pitt.edu/~adamz
ACADEMIC
BACKGROUND
September
1999 - present
October
1994 - June 1999
PROFESSIONAL
EXPERIENCE
September
1999 - present
- Decision
Systems Laboratory,
School of Information Sciences,
University of Pittsburgh, Pittsburgh, PA
- Research on independence of causal interactions in Bayesian networks. Special interest in modeling, knowledge elicitation from domain experts, and diagnostic applications
- One of key developers of SMILE - library of C++ classes, which provides decision support system using Bayesian networks and influence diagrams. Designed and implemented: API for learning module, independence of causal interactions functionality, and multiple other improvements.
- Designed and implemented an automated model building system for aircraft diagnosis within a framework of a consulting project for Rockwell Scientific.
September
1999 - present
- Interactive
Intelligent Spatial Information System Project,
University Center for Urban and Social Research,
University of Pittsburgh, Pittsburgh, PA
- Using Bayesian networks and qualitative methods to modeling interactions among hazards in a system for disaster management, developed a decision support model, that won the recognition of professional emergency managers.
- Prepared analysis of application of executive dashboard systems for disaster management.
September
2001 - present
- School
of Information Sciences,
University of Pittsburgh, Pittsburgh, PA
- Teaching Fellow, undergraduate Programming Design and Software Tools course.
- Teaching Assistant, Decision Analysis and Decisions Support Systems (graduate), Mathematical Foundations for Information Science (graduate), Data Structures and Programming Techniques (undergraduate), and Computer Graphics (undergraduate) courses.
April 2003
- August 2003
- Intel
Research, Santa Clara, CA
Summer internship.
- Evaluated PNL – Probabilistic Network Library developed by Intel. Delivered a set of guidelines for future development.
- Developed a model for optimizing cost of testing circuits in production process using decision-theoretic methods.
May
2001 - August 2001
- HRL
Laboratories, Malibu, CA
Summer internship.
- Designed a software application for model learning and updating and model conversion techniques for purposes of sensitivity analysis and learning.
May
2000 - August 2000
- HRL
Laboratories, Malibu, CA
Summer internship.
- Implemented diagnostic software, defined API, and developed models for locomotive diagnosis. The system was successfully deployed by General Motors.
AWARDS
-
Robert R. Korfhage Award,
- University of Pittsburgh, School of Information Science, April 2004. In recognition of excellence in writing a scholarly paper on information retrieval or related topic by a student in collaboration with a faculty member. (An Empirical Study of Probability Elicitation under Noisy-OR Assumption)
-
Robert R. Korfhage Award,
- University of Pittsburgh, School of Information Science, April 2003. In recognition of excellence in writing a scholarly paper on information retrieval or related topic by a student in collaboration with a faculty member. (How Common are Noisy-MAX Distributions in Practice?).
- Information
Engineering Competition Award,
- University of Pittsburgh, School of Information Science, April 2003. In recognition of outstanding achievement in the design and execution of a software system. Awarded for design and implementation of “Collaborative Client-Server Software for Simultaneous Editing Small Chunks of Text by Multiple Users.”
- Allen
Kent Award,
- University of Pittsburgh, School of Information Science, April 2000. In recognition of outstanding contributions to the graduate program in Information Science. Awarded for organizing Brown Bag seminar series at the Department of Information Science and Telecommunications.
PROFESSIONAL
SKILLS
- Extensive practical experience with large software projects. Expert level knowledge of C/C++ and solid knowledge of other programming languages. Solid knowledge of computer architecture, programming of computer networks and various techniques related to WWW.
- Interest in real life applications of Artificial intelligence and modeling techniques. Experience in working with domain experts.
- Understanding of not only technical, but also social and policy issues involved in socio-technical systems.
- Ability to work well with non-technical members of research teams
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