Education:
Postdoctoral Research Fellow in Oral Oncology, University College London, UK 2025
PhD in Artificial Intelligence, Kingston University, 2024
MSc in Advanced Engineering, Kingston University, 2019
BE in Mechanical Engineering, Pune University, 2016
Title: Postdoctoral researcher
Address:
HITS Building
410 W 10th Street
Indianapolis, IN 46202
Research Keywords: Multimodal AI, medical imaging, biomedical AI
Links:
Google Scholar
LinkedIn
Twitter
GitHub
Research Summary/Bio: Sanket Kachole is a postdoctoral researcher at the Division of Computational Pathology. Prior to this, he was a postdoctoral fellow at University College London, UK, where he led research on betel nut-induced oral cancer. He also worked as a research associate at Kingston University on an Innovate UK-funded project, developing deep learning models to reconstruct human posture from tactile pressure signals. He holds a PhD in artificial intelligence from Kingston University, where he focused on scene understanding in challenging conditions. His work has received international recognition, including a Best Paper award at CVPRW, publications in Scientific Data, Pattern Recognition, and IEEE Access, and a granted patent related to intelligent sensing and automation.
Featured publications:
-
Kachole, S., Sajwani, H., Naeini, F. B., Makris, D., & Zweiri, Y. (2024, September). Asynchronous bioplausible neuron for spiking neural networks for event-based vision. In European Conference on Computer Vision (pp. 399-415). Cham: Springer Nature Switzerland.
-
Kachole, S., Alkendi, Y., Naeini, F. B., Makris, D., & Zweiri, Y. (2023). Asynchronous events-based panoptic segmentation using graph mixer neural network. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 4083-4092).
-
Kachole, S., Huang, X., Naeini, F. B., Muthusamy, R., Makris, D., & Zweiri, Y. (2024). Bimodal SegNet: Fused instance segmentation using events and RGB frames. Pattern Recognition, 149, 110215.