Aneesh Raghavan wins Ann G. Wylie Dissertation Fellowship
The Ann G. Wylie Dissertation Fellowship is part of the University of Maryland Graduate School's Semester Dissertation Fellowship program, providing support to University of Maryland doctoral candidates who are in the latter stages of writing their dissertations. The Wylie is full‐time fellowship and awarded students can choose to use the fellowship in either Fall 2018 or Spring 2019. Fellowship benefits include a $15,000 stipend, a candidacy tuition award, and a credit for mandatory fees and reimbursement for the semester.
Raghavan’s research interests are in modeling, inference and decision making of networked cyber-physical systems, and in particular in such systems that include humans as key components. He focuses on developing new models and measures of the value of information in decision making, the modeling of human behavior in human and mixed human-machine autonomous decision making, application of non-commutative probability models (i.e. von Neumann probability models) and the effects of order of processing measurements in decision problems involving multiple agents. The latter have recently resulted in experiments involving human decision making by mathematical psychologists with results that cannot be explained within the classical Kolmogorov probability models.
Along with another student of John Baras, Usman Fiaz, Raghavan also recently was named a winner of the Graduate School's 2017–2018 Outstanding Graduate Assistant Award. The award recognizes the outstanding contributions that graduate assistants provide to students, faculty, departments, administrative units and the university as a whole. Winners of the award are among the top 2 percent of GAs on campus in a given year.
Published May 3, 2018