B.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
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 Oncology
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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