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Shenson Joseph is an accomplished AI researcher, quantum computing expert, and data science leader, known for his pioneering contributions to machine learning, explainable AI, and AI-powered anomaly detection systems. With over a decade of experience in the tech industry, Shenson has held key roles at Nokia and currently serves as a Lead Data Scientist at JPMorgan Chase, where he leads innovation in fraud detection, predictive analytics, and large-scale AI infrastructure.
He holds dual master’s degrees in Data Science and Electrical & Computer Engineering, and is currently pursuing a PhD in Artificial Intelligence and Quantum Computing at the University of North Dakota, with research focused on quantum machine learning algorithms for high-performance anomaly detection and security intelligence.
Shenson has authored numerous research papers and books on ethical and explainable AI, generative models, and the integration of quantum computing into modern AI systems. He actively contributes to the academic and professional AI community as a Fellow of BCS, Senior Member of IEEE, and a member of ACM, AAAI, and IET. In recognition of his contributions, he serves on editorial boards, frequently judges international research competitions, and supports emerging AI startups as an advisory board member at Photon-IV.
As a Gartner Software Engineering Ambassador, Shenson Joseph continues to drive thought leadership and cutting-edge research in AI-driven automation, quantum-enhanced learning, and scalable data engineering, shaping the future of technology across industries.
ICCIS 2025 | BITS Goa, India | Sept. 26-27, 2025
CIS 2025 | IETE, Delhi Centre | Sept 06-07, 2025
IJCACI 2025 | WUST Virginia US | Aug 23-25, 2025
AITA 2025 | IBS Bangalore | Aug 01-02, 2025
AIC 2025 | IEEE Conference in Delhi-NCR, India | July 26-27, 2025
ICDSA 2025 | MNIT Jaipur | July 11-13, 2025
ICIVC 2025 | ICFAI University, Dehradun | June 13-14, 2025
WCAIAA 2025 | Sardar Patel University, Mandi | May 17-18, 2025
AIR 2025 | Nazarbayev University Kazakhstan | May 09-11, 2025