Norman Matloff

Dr. Norman Matloff is professor of computer science at the University of California at Davis. He has published research papers on parallel processing, data security, data mining, computer networks, and statistical regression analysis, and he is the author of textbooks on computer science and statistics. Dr. Matloff is a former database software developer. He has authored popular software packages such as KuaiXue, a Chinese-language software package, and MulSim, a multi-processor simulator, as well as widely-used tutorials on debugging, Unix, Linux, the Python programming language; and the LaTeX word processor. He has been a member of the IFIP Working Group 11.3 on database software security, and his work on optical multiprocessor computers was awarded a U.S. patent. He received the UC Davis Distinguished Public Service Award as well as the University's Distinguished Teaching Award.

Dr. Matloff is extensively involved in issues of immigration, affirmative action, and age discrimination. He has served as an expert witness in employment litigation in the software industry. He has presented testimony to the U.S. Senate and House, advised the Departments of State, Commerce, Health and Human Services, and the Little Hoover Commission, and served as a program proposal reviewer on immigration issues for PBS. The role of foreign labor in the U.S. computer industry is one of his principal interests. His article in the University of Michigan’s Journal of Law Reform on the H-1B work visa offers an extensive treatment of the subject. He has addressed the specific matter of H-1B visas and age discrimination in the computer industry in the California Labor and Employment Law Review. He has published on the impact of globalization on American programmers and engineers in Communications of the ACM and in a publication of the IEEE on factors to consider in outsourcing. Dr. Matloff writes for the national press and is a frequent speaker at industry, government, and academic conferences. He has been interviewed by the NBC Nightly News, ABC's World News Tonight, the CBS Evening News, CNN, NPR, PBS, CNBC, Los Angeles Times, The New York Times, The Washington Post, The Wall Street Journal, Mother Jones, New Republic, Time, U.S. News and World Report, Forbes, Investor's Business Daily, Business Week, Science Magazine, and Computerworld.