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Manjeet Rege

Manjeet Rege

Dr. Manjeet Rege is a Professor and Chair of the Department of Software Engineering and Data Science; and Director of the Center for Applied Artificial Intelligence at the University of St. Thomas. Dr. Rege is an author, mentor, thought leader, an a frequent public speaker on Big Data, Machine Learning, and Artificial Intelligence technologies. He is also the co-host of the "All Things Data" podcast that brings together leading data scientists, technologists, business model experts and futurists to discuss strategies to utilize, harness and deploy data science, data-driven strategies and enable digital transformation. Apart from being engaged in research, Dr. Rege regularly consults with various organizations to provide expert guidance for building Big Data and AI practice, and applying innovative data science approaches. He has published in various peer-reviewed reputed venues such as IEEE Transactions on Knowledge and Data Engineering, Data Mining & Knowledge Discovery Journal, IEEE International Conference on Data Mining, and the World Wide Web Conference. He is on the editorial review board of Journal of Computer Information Systems and regularly serves on the program committees of various international conferences.

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Metaverse in the Healthcare Industry
International Edition
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Wearable AI in Psychotherapy
Publisher: IGI Global
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AED874
Binding:
Hardback
Release:
29 Aug 2025
Language:
English
International Edition
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Handbook of Artificial Intelligence and Wearables
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Artificial Intelligence and Knowledge Processing
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Artificial Intelligence and Knowledge Processing
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Wearable AI in Psychotherapy
Publisher: IGI Global
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AED794
Binding:
Digital download and online
Release:
29 Aug 2025
Language:
English
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7.
Handbook of Artificial Intelligence and Wearables
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AED840
Binding:
Digital (delivered electronically)
Release:
04 Apr 2024
Language:
English
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8.
Handbook of Artificial Intelligence and Wearables
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AED840
Binding:
Digital (delivered electronically)
Release:
04 Apr 2024
Language:
English
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9.
A Graph Theoretic Approach to Heterogeneous Data Clustering
Publisher: VDM Verlag
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AED262
Binding:
Paperback
Release:
27 Feb 2009
Language:
English
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