Research
Multimodal AI for Oral Cancer Detection
At UCL, I am developing multimodal AI methods that combine genetic profiles and medical
imaging to improve early detection of oral cancer. This work involves designing and
training deep learning models that can fuse heterogeneous clinical and imaging data to
support more accurate and earlier diagnosis.
Neuromorphic Vision and Event-Based Perception
My PhD research focused on advancing autonomous perception in robotics using neuromorphic
vision systems. I have developed models for event-based segmentation and panoptic
perception, combining RGB frames and event data with architectures such as SegNet,
transformers, graph neural networks, and spiking neural networks.
Machine Learning in Real-World Systems
In industry roles as a Data Scientist, I have built and deployed machine learning models
for computer vision, NLP, and risk modelling, including claim classification, motion
prediction, and anomaly detection, with a focus on robust pipelines and production-grade
code.
Publications
Below is a selection of my recent work. For a complete and up-to-date list, please see my
Google Scholar profile:
Google Scholar – full list
Preprints
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PROFUSEme: PROstate Cancer Biochemical Recurrence Prediction via FUSEd Multi-modal Embeddings
S You, C Pitarch-Abaigar, S Kachole, S Sonawane, J Ha, A S Gada, ...
arXiv preprint, arXiv:2509.14051, 2025. [Preprint]
Journal Articles
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Posture estimation from tactile signals using a masked forward diffusion model
S Kachole, B Nayak, J Brouner, Y Liu, L Guo, D Makris
Sensors, 25 (16), 4926, 2025.
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A neuromorphic dataset for tabletop object segmentation in indoor cluttered environment
X Huang, S Kachole, A Ayyad, F B Naeini, D Makris, Y Zweiri
Scientific Data, 11 (1), 127, 2024.
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Bimodal SegNet: Fused instance segmentation using events and RGB frames
S Kachole, X Huang, F B Naeini, R Muthusamy, D Makris, Y Zweiri
Pattern Recognition, 149, 110215, 2024.
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Event augmentation for contact force measurements
F B Naeini, S Kachole, R Muthusamy, D Makris, Y Zweiri
IEEE Access, 10, 123651–123660, 2022.
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3 Dimensional Welding SPM / Path Tracker
S Kachole, M Mahakal, A Bhagwatkar
International Journal of Design and Manufacturing Technology, 7 (3), 19–23.
Selected Conference Proceedings
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Asynchronous bioplausible neuron for spiking neural networks for event-based vision
S Kachole, H Sajwani, F B Naeini, D Makris, Y Zweiri
European Conference on Computer Vision (ECCV), 399–415, 2024.
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Asynchronous events-based panoptic segmentation using graph mixer neural network
S Kachole, Y Alkendi, F B Naeini, D Makris, Y Zweiri
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023.
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A computer vision approach to monitoring the activity and well-being of honeybees
S Kachole, G Hunter, O Duran
Intelligent Environments 2020, 152–161, 2020.
Other
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Object segmentation: from neuromorphic sensing to neuromorphic machine learning
S Kachole, 2024. [Monograph / extended work]
For full citation details, co-author list, and links to PDFs where available, please refer to:
Google Scholar – Sanket Kachole