CV

Appointments·Education·Honors·Publications

Appointments

• Associate Professor/Attending, Department of Medical Physics, Memorial Sloan Kettering Cancer Center (2015–present)
• Postdoctoral Fellow, School of Medicine and Department of Management Science and Engineering, Stanford University (2013–2015). Supervisors: Lei Xing, Yinyu Ye
• Postdoctoral Fellow, Department of Radiation Medicine and Applied Sciences, University of California, San Diego (2011–2013). Supervisor: Steve B. Jiang

Education

• Ph.D., Applied Mathematics (Operations Research), 2006–2011 · Thesis
  Department of Industrial and Systems Engineering, University of Florida, and Department of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran. Supervisors: Panos M. Pardalos, Esmaile Khorram

Honors

• Franz Edelman Award finalist (2021), Institute for Operations Research and the Management Sciences (INFORMS)
• Clinical Service Award (2019), Department of Medical Physics, Memorial Sloan Kettering Cancer Center
• Norm Baily Best Paper Award (2012), American Association of Physicists in Medicine (AAPM), Southern California Chapter
• Ranked first (2003), nationwide M.Sc. entrance exam in Applied Mathematics, Iran
• Ranked third (2003), nationwide M.Sc. entrance exam in Systems and Industrial Engineering, Iran

Publications

Also on Google Scholar.

2026

• Sparse plus low-rank matrix embedding with applications in cancer radiotherapy optimization
  Mojtaba Tefagh, Gourav Jhanwar, Masoud Zarepisheh
  arXiv preprint, 2026 · Paper · Code
• Clinical implementation of automated IMRT/VMAT planning for lung cancer radiation therapy using the expedited constrained hierarchical optimization (ECHO) system
  Jeho Jeong, Qijie Huang, Ying Zhou, Ellen Yorke, Eric Lin, Gourav Jhanwar, Jie Yang, Hai Pham, Maria Thor, Abraham J. Wu, Laura Cerviño, Jean M. Moran, Joseph O. Deasy, Masoud Zarepisheh, Linda Hong
  Radiotherapy and Oncology, 2026 · Paper
• Treatment Planning for Spine SBRT
  Masoud Zarepisheh, Lei Zhang, Linda Hong
  Multidisciplinary Spine Tumor Management (Springer), book chapter, 2026 · Paper
• Resource sharing and open-source software in radiation oncology: From challenges to opportunities for community-wide benefit
  Samuel Ingram et al.
  Radiotherapy and Oncology, 2026 · Paper

2025

• Compressed radiotherapy treatment planning (CompressRTP): A new paradigm for rapid and high-quality treatment planning optimization
  Mojtaba Tefagh, Gourav Jhanwar, Masoud Zarepisheh
  Medical Physics, 2025 · Paper · arXiv · Code
• Prospective validation of a pretreatment 18F-FDG PET/CT and mean lung dose model for early radiation pneumonitis
  Maria Thor, Aditya Apte, Milan Grkovski, Charles B. Simone, Daphna Y. Gelblum, Masoud Zarepisheh, Puneeth Iyengar, Abraham J. Wu, Jacob Y. Shin, Tafadzwa Chaunzwa, Jennifer Ma, David Billing, Mark Dunphy, Jamie E. Chaft, Daniel R. Gomez, Joseph O. Deasy, Narek Shaverdian
  Physics and Imaging in Radiation Oncology, 2025 · Paper
• Automating RT Planning at Scale: High Quality Data For AI Training
  Riqiang Gao, Mamadou Diallo, Han Liu, Anthony Magliari, Jonathan Sackett, Wilko Verbakel, Sandra Meyers, Rafe Mcbeth, Masoud Zarepisheh, Simon Arberet, Martin Kraus, Florin C. Ghesu, Ali Kamen
  arXiv, 2025 · Paper · Code

2024

• Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy
  Shima Adeli, Mojtaba Tefagh, Gourav Jhanwar, Masoud Zarepisheh
  NeurIPS, 2024 · Paper · PDF · Code
• Simultaneous reduction of number of spots and energy layers in intensity modulated proton therapy for rapid spot scanning delivery
  Anqi Fu, Vicki T. Taasti, Masoud Zarepisheh
  Medical Physics, 2024 · Paper · arXiv
• Automated planning of stereotactic spine re-irradiation using cumulative dose limits
  Sebastian Meyer, Lei Zhang, Yilin Liu, Li Cheng Kuo, Yu-Chi Hu, Yoshiya Yamada, Masoud Zarepisheh, Pengpeng Zhang, Laura Cerviño
  Physics and Imaging in Radiation Oncology, 2024 · Paper

2023

• Automated VMAT treatment planning using sequential convex programming: algorithm development and clinical implementation
  Pınar Dursun, Linda Hong, Gourav Jhanwar, Qijie Huang, Ying Zhou, Jie Yang, Hai Pham, Laura Cerviño, Jean M Moran, Joseph O Deasy, Masoud Zarepisheh
  Physics in Medicine & Biology, 2023 · Paper · Code
• Built-in wavelet-induced smoothness to reduce plan complexity in intensity modulated radiation therapy (IMRT)
  Mojtaba Tefagh, Masoud Zarepisheh
  Physics in Medicine & Biology, 2023 · Paper · Code
• RMSim: controlled respiratory motion simulation on static patient scans
  Donghoon Lee, Ellen Yorke, Masoud Zarepisheh, Saad Nadeem, Yu-Chi Hu
  Physics in Medicine & Biology, 2023 · Paper · arXiv · Code

2022

• Distributed and scalable optimization for robust proton treatment planning
  Anqi Fu, Vicki T. Taasti, Masoud Zarepisheh
  Medical Physics, 2022 · Paper · Slides
• Domain knowledge driven 3D dose prediction using moment-based loss function
  G Jhanwar, N Dahiya, P Ghahremani, Masoud Zarepisheh, S Nadeem
  Physics in Medicine & Biology, 2022 · Paper · arXiv · Code · Slides
• Automated and Clinically Optimal Treatment Planning for Cancer Radiotherapy
  Masoud Zarepisheh, Linda Hong, Ying Zhou, Qijie Huang, Jie Yang, Gourav Jhanwar, Hai D. Pham, Pınar Dursun, Pengpeng Zhang, Margie A. Hunt, Gig S. Mageras, Jonathan T. Yang, Yoshiya Yamada, Joseph O. Deasy
  INFORMS Journal on Applied Analytics, 2022 · Paper · Video · Slides · Podcast · Press

2021

• Solving the volumetric modulated arc therapy (VMAT) problem using a sequential convex programming method
  Pınar Dursun, Masoud Zarepisheh, Gourav Jhanwar, Joseph O Deasy
  Physics in Medicine & Biology, 2021 · Paper
• Methods and systems for automatic radiotherapy treatment planning
  Masoud Zarepisheh, JO Deasy, L Hong, GS Mageras, JG Mechalakos
  US Patent App. 16/978,397, 2021 · Paper
• Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy
  Maria Thor, Aditi Iyer, Jue Jiang, Aditya Apte, Harini Veeraraghavan, Natasha B Allgood, Jennifer A Kouri, Ying Zhou, Eve LoCastro, Sharif Elguindi, Linda Hong, Margie Hunt, Laura Cerviño, Michalis Aristophanous, Masoud Zarepisheh, Joseph O Deasy
  Physics and Imaging in Radiation Oncology, 2021 · Paper

2020

• Automating Proton Treatment Planning with Beam Angle Selection Using Bayesian Optimization
  Vicki T. Taasti, Linda Hong, Jin Sup (Andy) Shim, Joseph O. Deasy, Masoud Zarepisheh
  Medical Physics, 2020 · Paper · Slides
• Automated Proton Treatment Planning with Robust Optimization Using Constrained Hierarchical Optimization
  Vicki T. Taasti, Linda Hong, Joseph O. Deasy, Masoud Zarepisheh
  Medical Physics, 2020 · Paper · Slides
• Integrating Soft and Hard Dose-Volume Constraints into Hierarchical Constrained IMRT Optimization
  Sovanlal Mukherjee, Linda Hong, Joseph O. Deasy, Masoud Zarepisheh
  Medical Physics, 2020 · Paper · Slides
• Clinical Experience of Automated SBRT Paraspinal and Other Metastatic Tumor Planning With Constrained Hierarchical Optimization
  Linda Hong, Ying Zhou, Jie Yang, James G. Mechalakos, Margie A. Hunt, Gig S. Mageras, Jonathan Yang, Josh Yamada, Joseph O. Deasy, Masoud Zarepisheh
  Advances in Radiation Oncology, 2020 · Paper

2019

• Automated Intensity Modulated Treatment Planning: The Expedited Constrained Hierarchical Optimization (ECHO) System
  Masoud Zarepisheh, Linda Hong, Ying Zhou, Jung Hun Oh, James G. Mechalakos, Margie A. Hunt, Gig S. Mageras, Joseph O. Deasy
  Medical Physics, 2019 · Paper
• Inverse optimization for multi-objective linear programming
  Mostafa Naghavi, Ali Asghar Foroughi, Masoud Zarepisheh
  Optimization Letters, 2019 · Paper · Slides

2018

• Advances in Inverse Planning Algorithm and Strategy
  Masoud Zarepisheh, B Ungun, R Li, Y Ye, S Boyd, L Xing
  Advanced and Emerging Technologies in Radiation Oncology Physics (CRC Press), book chapter, 2018 · Paper
• A computation study on an integrated alternating direction method of multipliers for large scale optimization
  Masoud Zarepisheh, L Xing, Y Ye
  Optimization Letters, 2018 · Paper · Slides

2017

• An equivalent transformation of multi-objective optimization problems
  Masoud Zarepisheh, P M Pardalos
  Annals of Operations Research, 2017 · Paper

2016

• An Automated Treatment Plan Quality Control Tool for Intensity-Modulated Radiation Therapy Using a Voxel-Weighting Factor-Based Re-Optimization Algorithm
  T Song, N Li, M Zarepisheh, Y Li, Q Gautier, L Zhou, L Mell, S Jiang, L Cerviño
  PLOS ONE, 2016 · Paper
• SCORE System for Online Adaptive Radiotherapy
  Z Tian, Q Gautier, X Gu, C Men, F Peng, M Zarepisheh, Y Graves, A Uribe, X Jia, S B Jiang
  GPU-Based High Performance Computing in Radiation Therapy (CRC Press), book chapter, 2016 · Paper

2015

• Dosimetric benefit of adaptive re-planning in pancreatic cancer stereotactic body radiotherapy
  Y Li, J Hoisak, N Li, C Jiang, Z Tian, Q Gautier, M Zarepisheh, Z Wu, Y Liu, X Jia, J Hattangadi-Gluth, L K Mell, S Jiang, J D Murphy
  Medical Dosimetry, 2015 · Paper
• Simultaneous beam sampling and aperture shape optimization for station parameter optimized radiation therapy (SPORT)
  Masoud Zarepisheh, R Li, Y Ye, L Xing
  Medical Physics, 2015 · Paper · Slides

2014

• A DVH-guided IMRT optimization algorithm for automatic treatment planning and adaptive radiotherapy replanning
  Masoud Zarepisheh, T Long, N Li, Z Tian, HE Romeijn, X Jia, SB Jiang
  Medical Physics, 2014 · Paper
• A multicriteria framework with voxel-dependent parameters for radiotherapy treatment plan optimization
  Masoud Zarepisheh, AF Uribe-Sanchez, N Li, X Jia, SB Jiang
  Medical Physics, 2014 · Paper · Slides
• The nearest MPSS pattern in data envelopment analysis
  A Davoodi, Masoud Zarepisheh, HZ Rezai
  Annals of Operations Research, 2014 · Paper

2013

• Automatic treatment plan re-optimization for adaptive radiotherapy guided with the initial plan DVHs
  N Li, M Zarepisheh, A Uribe, K Moore, Z Tian, X Zhen, Y Graves, Q Gautier, L Mell, L Zhou
  Physics in Medicine & Biology, 2013 · Paper
• A moment-based approach for DVH-guided radiotherapy treatment plan optimization
  M Zarepisheh, M Shakourifar, G Trigila, P S Ghomi, S Couzens, A Abebe, L Noreña, W Shang, S Jiang, Y Zinchenko
  Physics in Medicine & Biology, 2013 · Paper

2012

• A linear bi-level programming problem for obtaining the closest targets and minimum distance of a unit from the strong efficient frontier
  GR Jahanshahloo, J Vakili, Masoud Zarepisheh
  Asia-Pacific Journal of Operational Research, 2012 · Paper
• Generating properly efficient points in multi-objective programs by the nonlinear weighted sum scalarization method
  Masoud Zarepisheh, E Khorram, P M Pardalos
  Optimization, 2012 · Paper

2011

• On the transformation of lexicographic nonlinear multiobjective programs to single objective programs
  Masoud Zarepisheh, E Khorram
  Mathematical Methods of Operations Research, 2011 · Paper

2010

• Sensitivity analysis on the priority of the objective functions in lexicographic multiple objective linear programs
  E Khorram, M Zarepisheh, BA Ghaznavi-ghosoni
  European Journal of Operational Research, 2010 · Paper
• Returns to scale in multiplicative models in data envelopment analysis
  Masoud Zarepisheh, E Khorram, GR Jahanshahloo
  Annals of Operations Research, 2010 · Paper

2009

• Preemptive priority based algorithms for fuzzy minimal cost flow problem: An application in hazardous materials transportation
  M Ghatee, S Mehdi Hashemi, M Zarepisheh, E Khorram
  Computers & Industrial Engineering, 2009 · Paper
• Linear transformations to decrease computational requirements of solving some known linear programming models
  M Zarepisheh, M Soleimani-damaneh
  Annals of Operations Research, 2009 · Paper
• A dual simplex-based method for determination of the right and left returns to scale in DEA
  M Zarepisheh, M Soleimani-damaneh
  European Journal of Operational Research, 2009 · Paper
• Shannon’s entropy for combining the efficiency results of different DEA models: method and application
  M Soleimani-damaneh, M Zarepisheh
  Expert Systems with Applications, 2009 · Paper

2008

• Global variation of outputs with respect to the variation of inputs in performance analysis; generalized RTS
  M Zarepisheh, M Soleimani-damaneh
  European Journal of Operational Research, 2008 · Paper

2007

• A dual-based algorithm for solving lexicographic multiple objective programs
  L Pourkarimi, M Zarepisheh
  European Journal of Operational Research, 2007 · Paper

2006

• Determination of returns to scale by CCR formulation without chasing down alternative optimal solutions
  M Zarepisheh, M Soleimani-damaneh, L Pourkarimi
  Applied Mathematics Letters, 2006 · Paper
• Modified MAJ model for ranking decision making units in data envelopment analysis
  GR Jahanshahloo, L Pourkarimi, M Zarepisheh
  Applied Mathematics and Computation, 2006 · Paper