Lars J. Kangas
Expertise
Lars J. Kangas
Mr. Kangas develops data analysis and predictive software based on computational intelligence technologies, such as artificial neural networks, support vector machines, fuzzy logic, genetic algorithms, and model based reasoning. These systems include modeling of peptides in liquid chromatography and mass spectrometry. He also lectures artificial neural network, artificial intelligence, computer systems, and programming languages courses as an adjunct faculty at Washington State University, WA.
Education
- M.S., Computer Science, North Dakota State University, 1989
- B.S., Computer Science, North Dakota State University, 1987
Selected Publications
Varnum SM, CC Covington, RL Woodbury, K Petritis, LJ Kangas, MS Abdullah, JG Pounds, RD Smith, and RC Zangar. "Proteomic Characterization of Nipple Aspirate Fluid: Identification of Potential Biomarkers of Breast Cancer."
Petritis K, LJ Kangas, PL Ferguson, GA Anderson, L Pasa-Tolic, MS Lipton, KJ Auberry, E Strittmatter, Y Shen, R Zhao, and RD Smith. 2003. "Use of artificial neural networks for the prediction of peptide liquid chromatography elutiontimes in proteome analyses." Anal. Chem. 75, 1039-1048.
Kangas LJ and PE Keller. 1999. "Neurometric Assessment of Adequacy of Intraoperative Anesthetic," In: Artificial Neural Networks in Biomedicine. PJG Lisboa, EC Ifeachor, and PS Szczepaniak (eds.). Springer-Verland London Ltd.
Keller PE, S Hashem, LJ Kangas, and RT Kouzes (eds.). 1996. "Applications of Neural Networks in Environment, Energy, and Health." World Scientific Press, London.
Keller PE, RT Kouzes, LJ Kangas, and S Hashem. 1995. "Transmission of Olfactory Information for Telemedicine," In: Interactive Technology and the New Paradigm for Healthcare. K Morgan, RM Satava, HB Sieburg, R Matteus, and JP Christensen (eds.). IOS Press and Ohmsha, Amsterdam, 27, 168-172.