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Hao H. Zhang
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Hao H. Zhang Ph.D.

Academic Title: Assistant Professor
Primary Appointment: Radiation Oncology
Location: Gray Lab, 214
Phone: (410) 706-6510
Fax: (410) 328-2618

Personal History:

Dr. Hao Zhang received his PhD from the University of Wisconsin-Madison, in Industrial and Systems Engineering in 2008. Dr. Zhang completed his postdoctoral fellowship at the University of Maryland School of Medicine in 2011. Dr. Zhang then joined the University of Maryland School of Medicine, Department of Radiation Oncology as a faculty member.


  • 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

Academic Appointments

  • Instructor, 2011-present, Radiation Oncology, University of Maryland School of Medicine

Research Interests:

Applying Operations Research techniques in Radiation Oncology, Medical Informatics and Bioinformatics, Healthcare IT.

Grants & Contracts:

Department of Radiation Oncology Seed Grant
PI: H. Zhang
“Using ‘Big Data’ Concept for Outcome Prediction in Locally Advanced Rectal Cancer”

Department of Radiation Oncology Seed Grant
PI: N. Mistry
“Minimizing Toxicity using Function Based Treatment Planning: Pilot Clinical Trial”

Varian Medical Systems
PI: H. Zhang
“Combined Functional and Anatomic Imaging based Radiotherapy Treatment Planning”

NIH/NCI R01CA172638
PI: W. Lu
“Quantitative PET/CT Analysis to Improve Evaluation of Tumor Response”

American Association of Physicists in Medicine
PI: H. Zhang
“Towards Physiological Radiotherapy to Improve Patient Outcome”

Honors & Awards:

  • 2006 - Travel Award, 2006 NSF Design, Service and Manufacturing Grantees and Research Conference
  • 2007 - Outstanding Teaching Assistant in College of Engineering, University of Wisconsin-Madison
  • 2008 - Vilas Travel Grant Award, University of Wisconsin-Madison
  • 2008 - AAPM John R. Cameron Young Investigator Competition Finalist
  • 2011 - AAPM Research Seed Funding Initiative Award
  • 2012 - 1st Place Poster Award at 2012 SNM Annual Meeting
  • 2012 - Best In Physics, 54th AAPM Annual Meeting
  • 2012 - John S. Laughlin Science Council Research Symposium Award


Book Chapters

Zhang, HH, Meyer, RR, Shi L., D’Souza, WD. “Machine learning applications in radiation therapy” in Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques, IGI Global, pp. 59-84, June 2012.

Selected Recent Journal Articles

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.

Zhang, HH, Gao, S, Chen, W, Shi, L., D’Souza, WD, Meyer RR. A surrogate-based metaheuristic global search method for beam angle selection in radiation treatment planning. Physics in Medicine and Biology. Vol. 58, pp. 1933-1946, 2013.

Zhang, HH, Yi, BY, Betzel, GT, D’Souza, WD. Beam controlled arc therapy – A novel delivery concept for stationary targets. Physics in Medicine and Biology. Vol. 58, pp. 7117-7129, 2013.

Tan, S., Zhang, HH, Zhang Y., Chen, W., D’Souza WD, Lu, W. Predicting pathologic tumor response to chemo-radiotherapy with histogram distances characterizing longitudinal changes in 18F-FDG uptake patterns. Medical Physics. Vol. 40, pp. 101707, 2013.

Xue, M., Zhang, H., Kligerman S., Klahr, P., D’Souza, W., Lu, W. Individually Optimized Uniform Contrast Enhancement in CT Angiography for the Diagnosis of Pulmonary Thromboembolic Disease – A Simulation Study. Medical Physics. Vol. 40, pp. 121906, 2013.

Zhang, H., Tan, S., Chen, W., Kligerman, S., Kim, G., D’Souza D., Suntharalingam, M., Lu, W. Modeling pathologic response of esophageal cancer to chemo-radiotherapy using spatial-temporal FDG-PET features, clinical parameters and demographics. International Journal of Radiation Oncology, Biology, Physics. In press.