Published/Accepted
Shinde, N., Zhu, Y., Shen, H., and Gao, H., 2026. A quantum computing approach to beam angle optimization. Accepted for publication at Medical Physics.
Wu, W., Shinde, N., Li, J., Vanhaezebrouck, I., Jiang, K., Lin, Y., Li, Q. and Gao, H., 2026. Photon minibeam‐based LATTICE radiotherapy for small and medium‐sized tumors: A dosimetric planning study. Medical Physics, 53(8), p.e70596. [pdf]
Tong, X., Zhu, Y.N., Shinde, N., Li, W., Zhang, W., Wang, C., Lin, Y. and Gao, H., 2026. A single‐field‐each‐peak optimization method for motion‐robust proton LATTICE therapy. Medical Physics, 53(7). [pdf]
Shinde, N., Gu, W., Domal, S., Badiyan, S.N., Lin, Y. and Gao, H., 2026. Lattice peak optimization: a mixed-integer framework for geometry-adaptive lattice radiotherapy. Physics in Medicine & Biology, 71(10), p.105015. [pdf]
Shinde, N., Lin, Y. and Gao, H., 2026. Collimator position optimization for proton minibeam radiation therapy. Scientific Reports. Published online May 15, 2026. [pdf]
Shinde, N., Zhu, Y., Wang, W., Li, W., Lin, Y., Gan, G.N., Lominska, C., Rotondo, R., Chen, R.C. and Gao, H., 2026. BED-optimized multi-IMPT: a biologically comparable alternative to proton ARC therapy. International Journal of Particle Therapy, p.101321. [link]
Shinde, N., Zhang, W., Lin, Y. and Gao, H., 2026. Minibeam‐pLATTICE: A novel proton LATTICE modality using minibeams. Medical Physics, 53(1), p.e70250. [pdf]
Shinde, N., Zhang, W., Lin, Y. and Gao, H., 2025. A mixed integer programming approach to minibeam aperture optimization for multi collimator proton minibeam radiotherapy. Medical physics, 52(11), p.e70129. [pdf]
Shinde, N., Li, W., Chen, R.C. and Gao, H., 2025. Optimizing normal tissue sparing via spatiotemporal optimization under equivalent tumor-radical efficacy. Physics in Medicine and Biology, 70(12). [pdf]
Shinde, N., Ding, T., Robinson, D. and Vidal, R., Geometric Analysis of Nonlinear Manifold Clustering. Advances in Neural Information Processing Systems, 37, pp.128769-128797. [pdf]
Shinde, N., Narayanan, V. and Saunderson, J., 2021. Memory-efficient approximation algorithms for max-k-cut and correlation clustering. Advances in Neural Information Processing Systems, 34, pp.8269-8281. [pdf]
Shinde, N., Narayanan, V. and Saunderson, J., 2021. Memory-efficient structured convex optimization via extreme point sampling. SIAM Journal on Mathematics of Data Science, 3(3), pp.787-814. [pdf]
Under review
Abuduxiku, M., Shinde, N., Li, Q., Zhu, Y., Gao, H., 2026. A Quantum Optimization Approach to the Minimum-Monitor-Unit Problem in Proton Therapy. Under review at Medical Physics.
Shen, H., Zhu, Y., Shinde, N., Long, Y., Gao, H., 2026. A novel VMAT treatment planning method via mixed-integer programming (MIP) optimization. Under review at Medical Physics.
Zhu, Y., Shinde, N., Lin, B., and Gao, H., 2025. An energy optimization method based on mixed-integer model and variational quantum computing algorithm for faster IMPT. arXiv preprint arXiv:2504.10315. Under review at Medical Physics. [link]
Shinde, N., Narayanan, V. and Saunderson, J., 2023. An inexact Frank-Wolfe algorithm for composite convex optimization involving a self-concordant function. arXiv preprint arXiv:2310.14482. [pdf]
Working papers
Shinde, N., and Gao, H., 2026. Quantum-inspired tensor-network optimization for sparse QUBO problems.
Shinde, N., and Gao, H., 2026. A scalable quantum-inspired optimization framework for radiotherapy planning problems.
Shinde, N., Abuduxiku, M., and Gao, H., 2026. A slice-separable peak placement optimization framework for mini-lattice radiotherapy.
Abuduxiku, M., Shinde, N., and Gao, H., 2026. Hybrid IMRT and mini-Lattice delivery treatment planning for LATTICE radiotherapy.