I grew up in Kalpakkam, Tamilnadu, India and completed my BTech in Computer Science and Engineering from Pondicherry Engineering College in 2005. I completed my MS in Math from Auburn in 2007. My thesis involved developing a Mechanochemical Model for stretch marks in humans (Striae Distensae) under Dr. Anotida Madzvamuse (chair). I moved to UW in 2007, completed my MS from AMATH and am presently a graduate student in the affiliated Interdisciplinary Quantitative Ecology and Resource Management program. My current advisor is Dr.Vince Gallucci.
Aneesh Hariharan, Vince Gallucci and Craig Heberer: Estimation of relative efficiency of adaptive cluster vs traditional sampling designs applied to arrival of sharks (In review, The American Statistician, April 2013, arxiv)
Aneesh Hariharan (with others): A generalized Nash bargaining framework for optimal management of shared resources (Work in progress)
Aneesh Hariharan and Kelsey Vitense: Bayes Factors vs. Reversible Jump MCMC for model selection (In preparation)
In the recent past, I worked on developing an adaptive cluster sampling design for CRFS and NOAA, SWFSC (Details: Tech report, AFS 2011). While at AMATH, I was interested in theoretical graph theory, in particular, decompositions of complete graphs into spanning cubic graphs. (This presentation outlines most of the work, the n-graceful conjecture part also got selected for the Canadian Discrete Math Conference 2013 in Newfoundland).
Summer 2012—Instructor QSci 291 and 292.
Summer 2011– Instructor QSci 291
Summer 2010– Instructor QSci 292
During the fall, spring and winter quarters, I usually TA for the QSci calculus sequence. I have also worked as a QSci 480 TA (in the recent past) and as a Stat 220 TA (in the not so recent past) at UW.