Computational Medical Physics Laboratory


Education

  • Ph.D., Duke University, 2013
  • M.S., Duke University, 2011
  • B.E., Visvesvaraya Technological University, India, 2005

Teaching Interests

Professor Agasthya's teaching focuses on nuclear engineering and medical physics courses at both undergraduate and graduate levels, including radiation detectors and medical imaging physics. Her instruction aims to develop a strong foundation in fundamental principles while encouraging analytical thinking and practical problem-solving skills. She is committed to fostering an engaging learning environment that supports the professional growth of students across nuclear engineering and medical physics.

Research Interests

Professor Agasthya's research centers on developing multiscale digital twins for personalized radiation dosimetry for imaging, therapy, and theranostics, modeling and simulations to assess novel radiation protocols from cancer diagnosis to cancer treatment, and developing AI frameworks to model patient trajectories for early intervention and treatment in oncology. Her work is interdisciplinary and includes uncertainty quantification, and optimization across time and space. She integrates clinical data, and physics and biology based computational approaches to address challenges in computational oncology with the goal to improve and impact the quality of life of cancer patients.

Recent Publications

  • CW Chang, M Safari, SS Akkineni, M Hu, KD Shah, Y Gao, P Patel, A Jani, ..., A Deep Learning-Enabled Digital Twin Framework for Fast Online Adaptive Proton Therapy: A Validation Study in A Prostate SBRT Clinical Application, Medical Imaging with Deep Learning, 2026
  • Z Aboulbanine, JR Rajagopal, AHC Lim, P Inman, GA Agasthya, ..., Quantification of Chemical Species Yield and Radiation Damage Patterns for Radiopharmaceutical Therapy Isotopes: Lu-177, Y-90 and I-131, AAPM 67th Annual Meeting & Exhibition, 2025
  • AHC Lim, P Inman, Z Aboulbanine, JR Rajagopal, GA Agasthya, ..., Efficient Monte Carlo Simulation of Radiation-Induced Double Strand Break Production and Repair Kinetics, AAPM 67th Annual Meeting & Exhibition, 2025
  • AHC Lim, P Inman, Z Aboulbanine, JR Rajagopal, GA Agasthya, ..., Efficient Monte Carlo Simulation of Radiation-Induced Double Strand Break Production and Repair Kinetics: SU-130-BRC-10, Medical Physics 52 (10), e7005935-e7005936, 2025
  • Z Aboulbanine, JR Rajagopal, AHC Lim, P Inman, GA Agasthya, ..., Quantification of Chemical Species Yield and Radiation Damage Patterns for Radiopharmaceutical Therapy Isotopes: Lu-177, Y-90 and I-131:: SU-330-GPD-R-50, Medical Physics 52 (10), e70059138, 2025