Mr. Jaydeep Samanta | AI Operating systems | Best Researcher Award
Senior Data Scientist, University of Limerick, Ireland
Mr. Jaydeep Samanta is an AI / Data Science professional with strong skills in computer vision, machine learning, edge-AI, IoT, and cloud/edge/continuum systems. He holds a Master of Science in Artificial Intelligence & Machine Learning from the University of Limerick, and earlier degrees in electronics / VLSI / embedded systems. Jaydeep has held roles involving both research and applied development, particularly in European Union / horizon projects such as ICOS, working at CeADAR, where he leads in constructing efficient AI/ML pipelines, real-time inference systems (e.g., for site safety, PPE detection), edge device deployment (including GPU / embedded hardware), cloud-infrastructure for MLOps, model optimization, transfer learning, and legal / NLP transformers work. His research interests include resource-constrained machine learning, adaptive learning under drift, edge-to-cloud continuum, model compression, federated learning, privacy in distributed AI, and efficient inference. His technical skills span deep learning, computer vision, Python, TensorFlow / Keras, GPU / NVIDIA / DeepStream, MLOps, model deployment, embedded systems, API development, cloud solutions, performance tuning, and transformer / NLP methods. Jaydeep has contributed to several publications and project deliverables, and is actively engaged in international collaborations through consortiums like ICOS. He has also been involved in technical reports, stakeholder briefings, cross-team leadership, mentoring, and knowledge dissemination.
Profile: ORCID
Featured Publications
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Cajas Ordóñez, S. A., Samanta, J., Suárez-Cetrulo, A. L., & Carbajo, R. S., Adaptive Machine Learning for Resource-Constrained Environments, 2025
- Cajas Ordóñez, S. A., Samanta, J., Suárez-Cetrulo, A. L., & Carbajo, R. S., Intelligent Edge Computing and Machine Learning: A Survey of Optimization and Applications, 2025
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, S. A., Samanta, J.,, G., & D’Andria, F., ICOS: An Intelligent MetaOS for the Continuum, 2025