Stephanie August profile photo

Stephanie August

Professor of Electrical Engineering & Computer Science

Los Angeles, CA, UNITED STATES

Seaver College of Science and Engineering

Publications

Documents

Photos

photos photos photos

Audio

Video

Biography

Contact:
Phone: 310.338.5973
Email: saugust@lmu.edu
Office: Doolan Hall 201B

Stephanie E. August is an Associate Professor in the Department of Electrical Engineering and Computer Science at LMU. She joined the LMU faculty in 1999. Prior joining LMU full-‐‐time, Dr. August was a lecturer at LMU, UCLA and UCI, and a software engineer with the Hughes Aircraft Company (now Raytheon). Her industry experience includes software and system engineering for several defense C3I programs and applied artificial intelligence research for military and medical applications. She received the Ph.D. (1991) and M.S. (1985) in computer science with a focus on artificial intelligence and natural language understanding from the University of California, Los Angeles. She also holds a B.A. in Slavic Languages from UCLA. Prof. August is an active member of the Association for the Advancement of Artificial Intelligence (AAAI), American Society for Engineering Education (ASEE), Association for Computing Machinery (ACM), Consortium for Computing Sciences in Colleges (CCSC), Institute of Electrical and Electronics Engineers (IEEE), and the IEEE Computer Society.

Education

University of California at Los Angeles

Ph.D., Computer Science

1991

University of California at Los Angeles

MS, Computer Science

1985

University of California at Los Angeles

B.A., Slavic Languages

1972

Areas of Expertise

Computer SoftwareArtificial IntelligenceStatisticsComputer ScienceProgrammingSoftware EngineeringLinuxDatabase ManagementCognitive ScienceNew Media

Industry Expertise

  • Education/Learning
  • Research
  • Computer Software

Accomplishments

Institute Scholar | professional

2006 CASTL Institute Scholar (Carnegie Academy for the Scholarship of Teaching and Learning)

2006-01-01

Best Sponsored Project Award | professional

2011 Office of Research and Sponsored Projects Best Sponsored Project Award: Interdisciplinary Program. Awarded to Stephanie E. August, EECS, and Michele L. Hammers, Communications Studies. For the NSF project IEECI: Encouraging Diversity in Engineering through a Virtual Engineering Sciences Learning Lab.

2011-01-01

Affiliations

  • Association for Computing Machinery
  • American Association for Artificial Intelligence
  • Association for Computing Machinery Los Angeles Chapter
  • Institute of Electrical and Electronics Engineers
  • Institute of Electrical and Electronics Engineers Computer Society

Event Appearances

Teaching Artificial Intelligence as a Lab Science: Basic and Informed Search

7th South Western Region Conference of the Consortium for Computing Sciences in Colleges  Northridge, CA

2014-03-14

Teaching Artificial Intelligence as a Lab Science: Basic and Informed Search

45th ACM Technical Symposium on Computer Science Education  Atlanta, GA

2014-03-05

Can 3D Virtual World Environments and Game-based Learning Effectively Teach Computer Science Concepts?

45th ACM Technical Symposium on Computer Science Education,  Atlanta, GA

2014-03-05

Workshop

Virtual Engineering Science Learning Lab Summer Workshop  Los Angeles, CA

2010-08-10

Co-opting Games and Social Media for Education

AI and Fun Workshop at the 24th Association for the Advancement of Artificial Intelligence (AAAI) Conference  Atlanta, GA

2010-07-11

Research Focus

The "Living" Room

A Case Study in Artificial Intelligence, Collaborative Systems, and Language Understanding

2008-10-05

This case study analyzes the reasoning processes and types of information that we need to embed in collaborative software systems in order for these systems to demonstrate intelligent behavior and allow us to interact with them in a natural way.

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Research Grants

National Science Foundation Course, Curriculum, and Laboratory Improvement Grant

National Science Foundation $ 179,897

2010-09-15

Enhancing Expertise, Sociability, and Literacy through Teaching Artificial Intelligence as a Lab Science

National Science Foundation Innovations in Engineering Education, Curriculum, and Infrastructure Grant

National Science Foundation $ 196,177

2009-09-01

Encouraging Diversity in Engineering through a Virtual Engineering Sciences Learning Lab

Articles

Virtual Engineering Sciences Learning Lab: Giving STEM Education a Second Life | IEEE Transactions on Learning Technologies

2015-01-01

Engineering education in the 21st century faces multiple obstacles including limited accessibility of course resources due, in part, to the costs associated with acquiring and maintaining equipment and staffing laboratories.

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Hughes Research Laboratories: description of the Trainable Text Skimmer used for MUC4 | Association for Computing Machinery

2014-11-20

The objective of the Hughes Trainable Text Skimmer (TTS) Project is to create text skimming software that: (1) can be easily re-configured for new applications, (2) improves its performance with use, and (3) is fast enough to process several megabytes of text per day.

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Working Together: Words and Math | Journal of Computing Sciences in Colleges

2011-04-01

Hybrid jumble and crossword puzzles can be used to bridge the gap between mathematics and language. These new puzzles use the traditional formats in new ways.

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Database Project as Source of Reinforcement and Discovery | Journal of Computing Sciences in Colleges

2010-04-01

A database project that reinforces course concepts directly can serve as a starting point for students' discovery of syntax variations among dialects of SQL.

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An open source software culture in the undergraduate computer science curriculum | ACM SIGCSE Bulletin

2007-06-01

Open source software has made inroads into mainstream computing where it was once the territory of software altruists, and the open source culture of technological collegiality and accountability may benefit education as well as industry.

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Understanding Analogies In Editorials | Artificial Intelligence Laboratory

1985-01-01

The widespread use of analogy in human communication underscores the need for a system which can recognize and understand analogies.

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