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Personal History
EducationB.S., 2001, Electrical Engineering, Harbin Institute of Technology, China
M.S., 2003, Electrical Engineering, University of Wisconsin-Madison
Ph.D., 2008, Industrial and Systems Engineering, University of Wisconsin-Madison
Post Graduate Education and Training
Fellowship, 2008-2011, Radiation Oncology, University of Maryland School of Medicine
Academic Appointments
Instructor, 2011-present, Radiation Oncology, University of Maryland School of Medicine
Honors and Awards
Outstanding Teaching Assistant in College of Engineering, University of Wisconsin-Madison, 2007
Vilas Travel Grant Award, University of Wisconsin-Madison, 2008
AAPM John R. Cameron Young Investigator Competition Finalist (Top 10 of 140), 2008
AAPM Research Seed Funding Initiative Award, 2011
Research Interests
Operations Research in Radiation OncologyBioinformatics
Publications
Meyer, RR, Zhang, HH, Goadrich, L., Nazareth, DP, Shi L., D'Souza, WD. A multi-plan treatment planning framework: A paradigm shift for IMRT, International Journal of Radiation Oncology, Biology, Physics, Vol. 68(4), pp. 1178-1189, 2007. D'Souza, WD, Zhang, HH, Nazareth, DP, Shi L., Meyer, RR. A nested partitions framework for beam angle optimization in intensity-modulated radiation therapy, Physics in Medicine and Biology, Vol. 53, pp. 3293-3307, 2008.
Zhang, HH, Shi L., Meyer, RR, Nazareth D., D'Souza, WD. Solving beam angle selection and dose optimization simultaneously via High-Throughput Computing, INFORMS Journal on Computing, Vol. 21(3), pp. 427-444, 2009.
Zhang, HH, D'Souza, WD, Shi L., Meyer, RR. Modeling plan-related clinical complications using machine learning tools in a multi-plan IMRT framework. International Journal of Radiation Oncology, Biology, Physics. Vol. 74, pp. 1617-1626, 2009.
Zhang, HH, Meyer, RR, Wu, J., Naqvi, SA, Shi L., D'Souza, WD. A two-stage MC sequential linear programming approach to IMRT dose optimization. Physics in Medicine and Biology. Vol. 55, pp. 883-902, 2010.
D'Souza, G., Zhang, HH, D'Souza, WD, Meyer, RR, Gillison, ML. Moderate predictive value of demographic and behavioral characteristics for a diagnosis of HPV16-positive and HPV16-negative head and neck cancer. Oral Oncology. Vol. 46, pp. 100-104, 2010.
Zhang, HH, Meyer, RR, Shi L., D'Souza, WD. Minimum knowledge base for predicting organ-at-risk dose-volume levels and plan-related complications in IMRT planning. Physics in Medicine and Biology. Vol. 55, pp. 1935-1947, 2010.
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