Student Name: Nandika Goyal
Email: [email protected]
LinkedIn: Nandika Goyal
Biography:
Nandika Goyal is a Ph.D. student in Computer Engineering at the SenSIP Center at Arizona State University. Her research focuses on quantum error detection and correction, with broader interests in quantum computing, machine learning, and healthcare applications. She previously completed an accelerated B.S./M.S. program in Computer Science at ASU, where her master’s research developed hybrid classical–quantum machine learning methods for medical imaging, particularly histopathological cancer detection. She also works as a software engineer at Moody’s Analytics, contributing to AI-driven solutions and enterprise-scale systems.
Publications:
N. Goyal, G. Uehara and A. Spanias, “Quantum-Enhanced Cancer Detection for Histopathologic Images,” 2025 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 2025, pp. 1342-1347, doi: 10.1109/ICIP55913.2025.11084595.
Acknowledgement:
Grateful to the ASU SenSIP Center for the opportunities and support they have provided for collaboration and research projects with the industry.