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Review

Smart Conferences: A Comprehensive Review of Technologies, Analytics and Future Directions

1
Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China
2
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
3
University of Manchester, Manchester M13 9PL, UK
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Institute of Automation, Chinese Academy of Sciences, Chinese Association of Automation, Beijing 100190, China
5
Hungarian Branch of QAII, 1034 Budapest, Hungary
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YakiHonne, Palo Alto, CA 94301, USA
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DeSci Center of Parallel Intelligence, Óbuda University, 1034 Budapest, Hungary
8
Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
9
State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
*
Author to whom correspondence should be addressed.
Processes 2026, 14(1), 144; https://doi.org/10.3390/pr14010144
Submission received: 3 November 2025 / Revised: 12 December 2025 / Accepted: 24 December 2025 / Published: 31 December 2025
(This article belongs to the Section AI-Enabled Process Engineering)

Abstract

Academic conferences have been pivotal in scholarly communications, facilitating the exchange of ideas and fostering collaborations among attendees by using advanced sensing, networking, and control technologies. Traditionally held in physical venues, the landscape of academic conferences has been revolutionised by the advent of virtual and hybrid formats as supported by the Internet of Things, Artificial Intelligence, and virtual reality tools. Despite the burgeoning literature on smart conferences, there exists a gap in comprehensive reviews that consolidate the various advancements and methodologies in this domain. This article aims to fill this gap by providing a thorough review of the latest developments in smart conference technologies and practices. It offers a multidimensional analysis, including predictive analytics, smart content delivery, networking improvements, and data-driven assessments. Fundamentally, we frame conference activities as a complex process involving multi-stage planning, real-time dynamic execution, and post-event analysis and refinement. This review specifically highlights how smart technologies are transforming this end-to-end process. Additionally, the concept of parallel intelligence is introduced, exploring its potential to transform future conferences. The significance of this article lies in its holistic perspective, offering valuable insights for enhancing conference planning, attendee engagement, and overall conference experiences.
Keywords: smart conferences; hybrid conferences; predictive analytics; smart content delivery; networking improvements; data-driven assessment; process optimisation smart conferences; hybrid conferences; predictive analytics; smart content delivery; networking improvements; data-driven assessment; process optimisation

Share and Cite

MDPI and ACS Style

Lv, H.; Ye, P.; Liu, J.; Zhang, N.; Yu, X.; Gong, W.; Tian, Y.; Ding, W.; Zhou, M.; Wang, F.-Y. Smart Conferences: A Comprehensive Review of Technologies, Analytics and Future Directions. Processes 2026, 14, 144. https://doi.org/10.3390/pr14010144

AMA Style

Lv H, Ye P, Liu J, Zhang N, Yu X, Gong W, Tian Y, Ding W, Zhou M, Wang F-Y. Smart Conferences: A Comprehensive Review of Technologies, Analytics and Future Directions. Processes. 2026; 14(1):144. https://doi.org/10.3390/pr14010144

Chicago/Turabian Style

Lv, Hongqiang, Peijun Ye, Jiaxi Liu, Nan Zhang, Xiaoxiao Yu, Weichao Gong, Yonglin Tian, Wendy Ding, Mengchu Zhou, and Fei-Yue Wang. 2026. "Smart Conferences: A Comprehensive Review of Technologies, Analytics and Future Directions" Processes 14, no. 1: 144. https://doi.org/10.3390/pr14010144

APA Style

Lv, H., Ye, P., Liu, J., Zhang, N., Yu, X., Gong, W., Tian, Y., Ding, W., Zhou, M., & Wang, F.-Y. (2026). Smart Conferences: A Comprehensive Review of Technologies, Analytics and Future Directions. Processes, 14(1), 144. https://doi.org/10.3390/pr14010144

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