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I received my Ph.D. degree in Computer Science from George Washington University in 2018. My research, which began in 2014, initially focused on mobile computing and the Internet of Things (IoT). Subsequently, I conducted an extensive study on the utilization of deep learning to address privacy issues in social networks. Currently, my research concentrates on big data and neural networks.
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Teaching
- COSC 10403 Introduction to Programming
Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Fall 2022, Fall 2023
- COSC 10603 Introduction to Python for Data Analytics
Fall 2020
- COSC 20803 Data Structures
Fall 2018, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024
- COSC 30403 Programming Language Concepts
Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024
- COSC 40023 Data Mining and Visualization
Fall 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2024
- COSC 40903 Mobile App Development
Fall 2022, Fall 2023
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Research Interests
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Big Data and Neural Networks
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Privacy-Preserving Internet of Things
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Context-Aware Mobile Computing
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Selected Recent Publications
Journal Articles
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Mei, Bo, and Hy Dang. "Stock Movement Prediction Using Price Factor and Deep Learning." International Journal of Computer and Information Engineering 16.3 (2022): 73-76.
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Li, Ruinian, Tianyi Song, Bo Mei, Chunqiang Hu, Wei Li, Maya Larson, Xiuzhen Cheng, and Rongfang Bie "A cloud-based framework for verifiable privacy-preserving spectrum auction." High-Confidence Computing 2.1 (2022): 100037.
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Hu, Chunqiang, Ruinian Li, Bo Mei, Wei Li, Arwa Alrawais, and Rongfang Bie. "Privacy-preserving combinatorial auction without an auctioneer." EURASIP Journal on Wireless Communications and Networking 2018 (2018): 1-8.
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Capurso, Nicholas, Bo Mei, Tianyi Song, Xiuzhen Cheng, and Jiguo Yu. "A survey on key fields of context awareness for mobile devices." Journal of Network and Computer Applications 118 (2018): 44-60.
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Li, Ruinian, Tianyi Song, Bo Mei, Hong Li, Xiuzhen Cheng, and Limin Sun. "Blockchain for large-scale internet of things data storage and protection." IEEE Transactions on Services Computing 12.5 (2018): 762-771.
Peer-Reviewed Conference Papers
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Mei, Bo, Hy Dang, and Minh Nguyen. "StTime-Net: Combining both Historical and Textual Factors for Stock Movement Prediction." 31st International Conference on Artificial Neural Networks (ICANN). Springer, 2022.
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Mei, Bo, and Truong, Quang. "Not All Data Matters: An Efficient Approach to Multi-Domain Learning in Vehicle Re-Identification." 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE, 2021.
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Truong, Quang, Bo Mei, Hy Dang, and Minh Nguyen. "Housing price prediction via improved machine learning techniques." International Conference on Identification, Information and Knowledge on the Internet of Things (IIKI). Elsevier, 2020.
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Mei, Bo, and Antonio Sanchez. "To GUI or Not to GUI: On how we teach introduction to programming." Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS). WorldComp, 2019.
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Sooksatra, Korn, Wei Li, Bo Mei, Alrawais, Shengling Wang, and Jiguo Yu. "Solving data trading dilemma with asymmetric incomplete information using zero-determinant strategy." 13th International Conference on Wireless Algorithms, Systems, and Applications (WASA). Springer, 2018.
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Service
Institutional
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Undergraduate Academic Advisor
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Summer Orientation Advisor
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SRS Committee Chair
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Data Science Major Development Committee Leader
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Faculty Search Committee Member
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Program Review Committee Member
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Student Organization "TCU Beyond Borders" Advisor
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Student Organization "CodePath at TCU" Advisor
Professional
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Honorary Rosalind Member of London Journal of Research in Computer Science and Technology
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Guest Editor of MDPI Sensors Journal
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Technical Committee Member of the following conferences: WASA, EAI SecureComm, MLBDBI, ICBCT, BDE, BIOTC, ICBDE, BDAI, AIBT, CSEA, ABDAI, MLHMI, AIBThings, and ICCAE
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Technical Committee Member of the following journals: IEEE Internet of Things Journal, International Journal of Computers and Applications, Springer Computational Social Networks Journal, IEEE Transactions on Services Computing, High-Confidence Computing Journal, and Wireless Communications and Mobile Computing Journal
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Last updated: April 2024
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