Eugene Demidenko

Adjunct Professor of Engineering

Professor of Biomedical Data Science
Professor of Community & Family Medicine
Adjunct Professor of Mathematics

Research Interests

Statistical methodology; mixed models; nonlinear regression; statistical analysis of shapes and images; electrical impedance tomography; statistical image reconstruction; mathematical tumor regrowth modeling; non-convex optimization; partial differential equations with mixed boundary conditions

Education

MSD, Moscow Pedagogical University 1971
PhD, Central Economics and Mathematics Inst., Russian Academy of Sciences 1975

Professional Activities

Core Director, Dartmouth Center of Cancer Nanotechnology Excellence (CCNE)
Member, American Statistical Society
Member, American Mathematical Society
Member, Society for Industrial and Applied Mathematics (SIAM)
Member, IEEE
Member, Dartmouth Cancer Center
Associate Editor, Mathematical Communications
Associate Editor, The Open Statistic & Probability Journal
Reviewer, NIH Peer Review Committee, 2010

Selected Publications

Demidenko, E. (2010). Statistical hypothesis testing for postreconstructed and postregistered medical images, SIAM Journal on Imaging Sciences, 2: 1049–1067.
Demidenko, E. (2009). Three endpoints of in vivo tumour radiobiology and their statistical estimation, International Journal of Radiation Biology, 86: 164–173.
Demidenko E, Williams BB, Swartz HM. (2009). Radiation dose prediction using data on time to emesis in the case of nuclear terrorism, Radiation Research 171: 310–319.
Demidenko, E. (2006). Separable Laplace equation, magic Toeplitz matrix, and generalized Ohm's law. Applied Mathematics and Computation, 181: 1313–1327.
Demidenko, E., Hartov, A., and Paulsen, K. (2004). Statistical estimation of resistance/conductance by electrical impedance tomography measurements. IEEE Transactions on Medical Imaging, 23: 829–838.
Demidenko E. (2004). Kolmogorov-Smirnov test for image comparison. Lecture Notes in Computer Science 3046: 933–939.
Demidenko, E. (2004). Mixed Models: Theory and Applications, New York, Wiley.