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I am from Nepal.
I received the Ph.D. degree in computer and communication engineering from National Cheng Kung University (NCKU), Tainan, Taiwan in January 2019.
From March 2019 to January 2025, I worked as a Postdoctoral Researcher (Advisor: Prof. Jen-Wei Huang) at the Knowledge and Information Discovery Laboratory, National Cheng Kung University (NCKU), Tainan, Taiwan.
From March 2025 to June 2026, I worked as a Postdoctoral Research Fellow (Advisor: Prof. George Konstantinidis) at the School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.
My research interests include data mining and machine learning, data streams, and time series data.
Scholar Profiles
Scholar Profiles
Resume
Resume
Latest Appointment:
Latest Appointment:
Duration: March 2025 – June 2026
Position: Postdoctoral Research Fellow (Advisor: Prof. George Konstantinidis)
Organization: School of Electronics and Computer Science,
University of Southampton, Southampton, United Kingdom.
Education
Education
February 2013 - January 2019
Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan.
[ PhD ]
Research area: Data Mining and Machine Learning.
–
February 2011 - January 2013
Department of Computer Science and Engineering, Yuan Ze University, Taiwan.
[ MS ]
Research area: Data Mining.
Experiences
Experiences
Duration: March 2025 – June 2026
Position: Postdoctoral Research Fellow (Advisor: George Konstantinidis)
Organization: School of Electronics and Computer Science,
University of Southampton, Southampton, United Kingdom.
Duration: August 2023 – January 2025
Position: Postdoctoral Researcher (Advisor: Prof. Jen-Wei Huang)
Organization: Miin Wu School of Computing,
National Cheng Kung University, Tainan, Taiwan.
(Lab: Knowledge and Information Discovery Lab.)
Duration: February 2023 – January 2025
Position: Adjunct Assistant Professor (Part-time Lecturer)
Organization: Department of Computer Science and Information Engineering,
Southern Taiwan University of Science and Technology, Tainan, Taiwan.
Duration: March 2019 – July 2023
Position: Postdoctoral Researcher (Advisor: Prof. Jen-Wei Huang)
Organization: Knowledge and Information Discovery Lab. (KID Lab),
Department of Electrical Engineering,
National Cheng Kung University, Tainan, Taiwan.
Duration: August 2002 – January 2011
Position: Technical Director (and Faculty)
Organization: Computer Point Nepal, Kathmandu, Nepal.
Duration: March 1997 – July 2002
Position: System Administrator and Faculty
Organization: Computer Point Nepal, Kathmandu, Nepal.
Publications
Publications
Journal Publications
Journal Publications
B. P. Jaysawal and J.-W. Huang. (2025). "SOHUPDS+: An Efficient One-phase Algorithm for Mining High Utility Patterns over a Data Stream." ACM Transactions on Knowledge Discovery from Data (TKDD), 19 (1), Article 16 (January 2025).
DOI: https://doi.org/10.1145/3702645B. P. Jaysawal and J.-W. Huang. (2019). "DMHUPS: Discovering Multiple High Utility Patterns Simultaneously." Knowledge and Information Systems, 59 (2), 337-359, 2019. (SCI, Impact Factor: 2.936).
DOI: https://doi.org/10.1007/s10115-018-1207-9B. P. Jaysawal and J.-W. Huang. (2019). "PSP-AMS: Progressive Mining of Sequential Patterns Across Multiple Streams." ACM Transactions on Knowledge Discovery from Data (TKDD), 13 (1), 1-23, 2019. (SCI, Impact Factor: 2.010).
DOI: https://doi.org/10.1145/3281632J.-W. Huang, B. P. Jaysawal, and C.-C. Wang. (2021). "Mining Full, Inner and Tail Periodic Patterns with Perfect, Imperfect and Asynchronous Periodicity Simultaneously." Data Mining and Knowledge Discovery, 35(4), 1225–1257, 2021. (SCI, Impact Factor: 2.629).
DOI: https://doi.org/10.1007/s10618-021-00753-9J.-W. Huang, B. P. Jaysawal, K.-Y. Chen and Y.-B. Wu. (2019). "Mining frequent and top-K High Utility Time Interval-based Events with Duration patterns." Knowledge and Information Systems, 61(3), 1331-1359, 2019. (SCI, Impact Factor: 2.936).
DOI: https://doi.org/10.1007/s10115-019-01333-6H.-T. Huang, B. P. Jaysawal, J.-W. Huang, C.-C. Hung, and B. Zheng. (2026). “Individual Trip Prediction on Multi-Mode Transit System by Identifying Transit Mode and Trip Regularity Using Smart Card Data.” International Journal of Urban Sciences, January 2026, 1–18.
DOI: https://10.1080/12265934.2026.2614035Y.-L. Chang, H.-S. Ma, S.-C. Li, B. P. Jaysawal, and J.-W. Huang. (2025). "GDVT: geometrically aware dual transformer encoding visual and textual features for image captioning." International Journal of Data Science and Analytics, 20(7), 6507–6525, 2025.
DOI: https://doi.org/10.1007/s41060-025-00836-6J.-W. Huang, P.-J. Lee, and B. P. Jaysawal. (2022). "Multi-Scale Control Chart Pattern Recognition using Histogram-Based Representation of Value and Zero-Crossing Rate." IEEE Transactions on Industrial Electronics, 69(1), 684–693, 2022. (SCI, Impact Factor: 7.515).
DOI: https://doi.org/10.1109/TIE.2021.3050355Y.-H. Ke, J.-W. Huang, W.-C. Lin, and B. P. Jaysawal. (2021). "Finding Possible Promoter Binding Sites in DNA Sequences by Sequential Patterns Mining with Specific Numbers of Gaps." IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18(6), 2459–2470, 2021. (SCI, Impact Factor: 3.015).
DOI: https://doi.org/10.1109/TCBB.2020.2980234J.-W. Huang, M.-X. Zhong, and B. P. Jaysawal. (2020). "TADILOF: Time Aware Density-Based Incremental Local Outlier Detection in Data Streams." Sensors, 20(20), 2020. (SCI, Impact Factor: 3.275).
DOI: https://doi.org/10.3390/s20205829J.-W. Huang, Y.-B. Wu and B. P. Jaysawal. (2020). "On Mining Progressive Positive and Negative Sequential Patterns Simultaneously." Journal of Information Science and Engineering, 36(1), 2020. (SCI, Impact Factor: 0.541)
Conference Publications
Conference Publications
B. P. Jaysawal and J.-W. Huang. (2020). "SOHUPDS: a single-pass one-phase algorithm for mining high utility patterns over a data stream." In Proceedings of the 35th Annual ACM Symposium on Applied Computing (SAC ’20), pp. 490-497, Mar. 30-Apr. 3, 2020. (Acceptance rate: 24.48%).
DOI: https://doi.org/10.1145/3341105.3373928Y.-N. Wan, B. P. Jaysawal and J.-W. Huang. (2022). "Unsupervised Concept Drift Detection using Dynamic Crucial Feature Distribution Test in Data Streams." In 2022 International Conference on Technologies and Applications of Artificial Intelligence (TAAI), pp. 137-142, Dec. 1-3, 2022. Best Paper Award (Runner-up).
DOI: https://doi.org/10.1109/TAAI57707.2022.00033C.-W. Yang, B. P. Jaysawal and J.-W. Huang. (2017). "Subsequence Search Considering Duration and Relations of Events in Time Interval-Based Events Sequences." 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA ’17), Tokyo, pp. 293-302, Oct. 19-21, 2017. (Acceptance rate: 25.0%).
DOI: https://doi.org/10.1109/DSAA.2017.47K.-Y. Chen, B. P. Jaysawal, J.-W. Huang and Y.-B. Wu. (2014). "Mining frequent Time Interval-based Event with duration patterns from temporal database." 2014 International Conference on Data Science and Advanced Analytics (DSAA ’14), Shanghai, pp. 548-554, Oct. 30 - Nov. 01, 2014. (Acceptance rate: 18.0%)
DOI: https://doi.org/10.1109/DSAA.2014.7058125Y.-B. Wu, J.-W. Huang and B. P. Jaysawal. (2016). "Mining Positive and Negative Sequential Patterns in a Progressive Database." In Proceedings of the 9th International Conference on UBI-Media Computing UMEDIA-2016, 2016.
B. P. Jaysawal and J.-W. Huang. (2014). "Mining frequent progressive usage patterns across multiple mobile broadcasting channels." MobiSocial 2014, PAKDD Workshop 2014, Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2014.
DOI: https://doi.org/10.1007/978-3-319-13186-3_14
Academic Service
Academic Service
Journal Reviewer
Journal Reviewer
ACM Transactions on Knowledge Discovery from Data (2019-2024, 2026)
IEEE Transactions on Neural Networks and Learning Systems (2019-2023, 2025)
IEEE Transactions on Industrial Informatics (2025-2026)
Knowledge and Information Systems (2023-2025)
IEEE Computational Intelligence Magazine (2022-2024)
International Journal of Machine Learning and Cybernetics (2024-2025)
Knowledge-Based Systems (2023-2024)
International Journal of Data Science and Analytics (2023-2024)
Engineering Applications of Artificial Intelligence (2022-2023, 2025)
Journal of Information Science and Engineering (2023)
Big Data Research (2022)
IEEE Transactions on Cybernetics (2020)
Conference PC Member / Reviewer
Conference PC Member / Reviewer
PAKDD 2023-2026
DELTA 2024
IEEE CAI 2024
IEEE CEC 2023
FUZZ-IEEE 2023
IEEE WCCI 2022
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