DSBFI 2025 conference has drawned to an end successfully. We could not have done it without the hard works and contributions of many individuals and participants.
We wish to express our appreciation and thanks to Dr. Nguyen Thi Anh Dao, President of Dong A University, Mr. Luong Minh Sam, Vice-Rector for hosting and supporting DSBFI 2025 Conference.
We would like to thank the Organizing Committee, Prof. Hoang Pham, Prof. Xufeng Zhao, Prof. Kim Phuc Tran for devoting your time and efforts in organizing and making it a success.
We would like to thank the members of the International Research Institute for Artificial intelligence and Data science, Dong A University, especially Dr. Tho Nguyen and Ms. Luc T. Nguyen for organizing many aspects of the conference such as logistics, catering, social events and time coordination.
We would like to thank the International Program Committee and the invited session organizers for your efforts in promoting the conference and organizing sessions.
Last but not least, we would like to thank all speakers and authors for participating in the conference and making it a success. Thank you for sharing your research works to our community. We truly appreciate your valuable contributions to the conference.
With gratitude, The International Society of Science and Applied Technologies
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DSBFI 2025 Awards | ||
Best Paper Award | ||
Prof. Kim Phuc Tran, University of Lille, France | ||
Paper: | Explainable Lightweight Federated Learning for Load Forecasting with Smart Meter Data | |
Authors: | Le Vu Hoang Duc, Ngo Van Uc, Kim Duc Tran, Ludovic Koehl, Kim Phuc Tran | |
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Best Student Paper Award |
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Mr. Yi Chen, Beihang University, China | ||
Paper: | Joint Optimization of Equipment Predictive Maintenance and Spare Part Ordering Policy Considering Spare Part Types | |
Authors: | Yi Chen, Lan Chen, Xiaobing Ma, Fanping Wei, Li Yang | |
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Organizers and Sponsors | ||
The conference is organized and sponsored by International Society of Science and Applied Technologies (ISSAT) |
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In cooperation with
Dong A University, Vietnam |
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Aims and Scope |
The Data Science in Business, Finance and Industry (DSBFI) provides an international forum for presentation of new results as well as exchanges and disseminates innovative and practical development experiences. The conference covers all aspects of data science in business, finance and industry including algorithms, modeling and applications. Large amount of data created by various mobile platforms, social media interactions, e-commerce transactions, and IoT provide an opportunity for business, finance and industry to improve the quality of their products and services by effective use of data science. DSBFI draws researchers, application developers, and practitioners from a wide range of data science related areas such as statistics, business analytics, computer science, engineering, and applied science. By promoting novel, high-quality research findings and innovative solutions to challenging data science problems, the conference seeks to advance the state-of-the-art in data science. |