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Dunwei Wen

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Dunwei Wen, PhD

Associate Professor and Chair

 https://orcid.org/0000-0002-9132-8153

    Available to supervise

    PhD projects

    Supervise and co-supervise graduate students in AI, machine learning, deep learning, natural language processing, and pattern recognition, with a focus on both theoretical foundations and practical applications across healthcare, education, science, and industry.

    20022025

    Research activity per year

    Personal profile

    Research Interests

    Dr. Dunwei Wen's research interests are Artificial Intelligence and Machine Learning, especially statistical learning and deep learning algorithms for natural language processing, sequential data analysis and image recognition. His current research program aims to develop deep learning methods to represent, recognize, interpret, and reason structural and semantic information in natural language text, sequential data, and images for implementing educational, medical, and industrial information systems.

    Personal profile

    Dr. Dunwei Wen is an Associate Professor and Chair of the School of Computing and Information Systems at Athabasca University, Alberta, Canada. He received his PhD in pattern recognition and intelligent systems from Central South University, and MSc from Tianjin University and BEng from Hunan University. Prior to his current position, he was a visiting scholar in the Department of Computing Science at the University of Alberta, and Professor at Central South University. His research areas include artificial intelligence, machine learning, natural language processing, pattern recognition, and their application in advanced and intelligent information systems.

    Education/Academic qualification

    PhD, Central South University

    … → 2001

    BEng, Hunan University

    MSc, Tianjin University

    Keywords

    • QA75 Electronic computers. Computer science
    • Computing and information systems
    • Artificial intelligence
    • Machine learning

    Research Interests

    • Artificial Intelligence
    • Deep learning
    • Natural language processing
    • Machine learning
    • AI in health
    • AI in education

    Expertise related to UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being
    2. SDG 4 - Quality Education
      SDG 4 Quality Education
    3. SDG 8 - Decent Work and Economic Growth
      SDG 8 Decent Work and Economic Growth
    4. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

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    Collaborations and top research areas from the last five years

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    • Automated Grading of Discussion Posts in Online Courses

      Dumoulin, G., Sakeef, N., Dewan, M. A. A. & Wen, D., 2025, Proceedings - 2025 IEEE Smart World Congress, SWC 2025, 2025 IEEE Ubiquitous Intelligence and Computing, Autonomous and Trusted Computing, Digital Twin, Metaverse, Scalable Computing and Communications. p. 90-95 6 p. (Proceedings - 2025 IEEE Smart World Congress, SWC 2025, 2025 IEEE Ubiquitous Intelligence and Computing, Autonomous and Trusted Computing, Digital Twin, Metaverse, Scalable Computing and Communications).

      Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

    • LC-CCT: A Linear Complexity Compact Convolutional Transformer for Retinal Disease Detection in Optical Coherence Tomography Images

      Ferdous, G. J., Chowdhury, M. H., Hossain, A. A., Dewan, M. A. A. & Wen, D., 2025, In: IEEE Access. 13, p. 204372-204384 13 p.

      Research output: Contribution to journal › Journal Article › peer-review

      Open Access

    • Semi-Automatic Labeling of Online Course Discussion Posts

      Parmar, D., Dewan, M. A. A., Wen, D. & Lin, F., 2025, Learning and Collaboration Technologies - 12th International Conference, LCT 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings. Smith, B. K. & Borge, M. (eds.). p. 324-335 12 p. (Lecture Notes in Computer Science; vol. 15807 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

    • Cognitive Engagement Detection of Online Learners Using GloVe Embedding and Hybrid LSTM

      Parmar, D., Dewan, M. A. A., Wen, D. & Lin, F., 2024, Generative Intelligence and Intelligent Tutoring Systems - 20th International Conference, ITS 2024, Proceedings. Sifaleras, A. & Lin, F. (eds.). p. 15-26 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14799 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

      4 Citations (Scopus)

    • SRTNet: Scanning, Reading, and Thinking Network for myocardial infarction detection and localization[Formula presented]

      Liu, K., Liu, T., Wen, D., Zang, M., Zhou, S. & Liu, C., 15 Apr 2024, In: Expert Systems with Applications. 240, 122402.

      Research output: Contribution to journal › Journal Article › peer-review

      17 Citations (Scopus)
    View all 73 research outputs