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Prof. Allen Klinger

Prof. Allen  Klinger

6514 Boelter
Los Angeles CA 90095-1596
United States

tel: 310 492 8858
fax: 310 794 5057
E-mail: klinger@cs.ucla.edu
Web: http://www.cs.ucla.edu/~klinger

Area of Expertise

Image Processing, Mathematical Models


Allen Klinger is a member of SPIE, AMS (Amer. Math.  Soc.). and the IEEE (Inst. Electrical/Electronics Engineers). He is Fellow of IEEE for contributions to image processing by means of computers. His achievements include degrees from Cooper Union, Caltech and UC Berkeley, service as Professor, Engineering and Applied Science at UCLA (prior posts as Assistant and Associate Prof.), and employment or consulting positions at Rand, Aerospace, JPL, World Bank and other organizations.

His three book publications, encyclopedia articles, and research papers cover many optic and image issues. He is specifically known for work in data structures and algorithms and human machine interaction. Telecommunications, image pattern recognition, and image databases are areas where he has worked, with government and scientific organizations. He has sustained an innovative career path for decades using art, abstraction, and activity to guide him in work with technical and nontechnical individuals. 

Lecture Title(s)

Computer Image Processing
Analysis of digitized visual information involves concepts from diverse fields: data structures, algorithms, psychology, geography, and traditional arts. The talk begins by describing engineering concerns with sensors and spectral issues. It moves on to the analysis opportunities offered by digital computers and recent technology.

Ancient Knowledge and Current Technology
Computers and electronic devices - smart phones ­ lead to questions about mathematics: geometry, trigonometry, algebra and calculus. Decomposing a pyramid - see back of U.S. Dollar bill ­ was solved about four generations ago. Probability questions came out of gambling analysis (at a famous casino, Monte Carlo, Monaco). Circles inscribed in regular polygons (square, pentagon, hexagon, etc.), and exponential growth puzzles, though old, reveal possible limits of applying digital technology to today¹s problems.

Your Photonics Career

How can one build on the science, technology, engineering and mathematics (STEM) education that offers skills, knowledge and necessary experience with tools, theories, and tasks, to sustain innovation? This talk gives answers to that question based on over half a century of work and creativity, in academia, research organizations, medical facilities, government, and legal consulting. The presentation emphasizes the human aspects of work and the ways individuals choose their own path. Personal choices such as where one works, the nature of rewards, and the value of persistence, inform the presentation with detailed examples.

The talk includes unconventional means anyone can employ to enliven ones work and provide incentives for achievement. Particular examples from travel and inner thought will be illustrated by means of web-posted visual materials. The talk concludes with general ways anyone can use art, abstraction, and activity. It provides suggestions on expanding professional contacts beyond and with computer tools in association with technical and nontechnical individuals.


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