Intelligent Systems and Machine Learning Ahmed Tlili, Sarra Hattab, Fathi Essalmi, Nian-Shing Chen, Ronghuai Huang, Kinshuk, Maiga Chang,
Daniel Burgos. (2021). A Smart Collaborative Educational Game with Learning Analytics to Support English Vocabulary Teaching, International Journal of Interactive Multimedia and Artificial Intelligence. (in-press) http://dx.doi.org/10.9781/ijimai.2021.03.002(SSCI)(Open Access)
Kuo-Chen Li, Maiga Chang, Kuan-Hsing Wu (2020).
Developing a Task-Based Dialogue System for English Language Learning. Education Sciences, 10(11),
Article #306. https://doi.org/10.3390/educsci10110306 (ESCI)(Open Access)
Maiga Chang, Giuseppe DAniello, Matteo Gaeta, Francesco Orciuoli, Demetrios Samspon, Carmine Simonelli. (2020). Building ontology-driven tutoring models for Intelligent Tutoring Systems using data mining. IEEE Access, 8, 48151-48162. https://doi.org/10.1109/ACCESS.2020.2979281(IEEE)(SCIE)(Open Access)
Ahmed Tlili, Mouna Denden, Fathi Essalmi, Mohamed Jemni, Maiga Chang, and Kinshuk. (2019).
An unobtrusive method to model the learner's personality using learning analytics in iMoodle.
Interactive Learning Environment. https://doi.org/10.1080/10494820.2019.1636084 (SSCI)
Miao-Han Chang, Maiga Chang, Rita Kuo, Fathi Essalmi, Vivekanandan S. Kumar, Hsu-Yang Kung. (2018). GRACE: An Online Reading and Annotation Recommendation Platform. Educational Communications and Technology, 5(1), 59-64.
Maiga Chang, Rita Kuo, Keith Ying, Andrew F. Chiarella, Jia-Sheng Heh, and Kinshuk. (2013). Clustering Annotations of a Digital Text with Bio-inspired Approaches. Journal of Hybrid Technology, 1(1), 1-10.
Supriya Sarker, Md. Mokammel Haque, M. Ali Akber Dewan, “Driving maneuver classification using domain specific knowledge and transfer learning,” IEEE Access, pp. 1-17, June 2021.
Bruce Davidson, M. Ali Akber Dewan, Vive Kumar, Maiga Chang, Brenda Liggett, “Visualizing benefits: evaluating healthcare information system using IS-impact model,” IEEE Access, vol. 8, pp. 1-14, August 2020.
Francisco A. da S. Freitas, Francisco F. X. Vasconcelos, Solon A. Peixoto, Mohammad Mehedi Hassan, M. Ali Akber Dewan, Victor Hugo C. de Albuquerque, Pedro P. Rebouças Filho, “IoT system for school dropout prediction using machine learning techniques based on socioeconomic data,” Electronics, 2020.
Solon Alves Peixotoa, Aldisio G. Medeirosa, Pedro Pedrosa Rebouças Filhoa, Mohammad Mehedi Hassanb, M. Ali Akber Dewanc, Victor Hugo C. de Albuquerqued, “Floor of log: a novel intelligent algorithm for 3D lung segmentation in computer tomography images,”
Multimedia Systems, 2020.
Ashesh Iqbal, Sumi Khatun, Md. Shamsul Arefin, M. Ali Akber Dewan, “ERF: An empirical recommender framework for ascertaining appropriate learning materials from stack overflow discussions,” Computers, vol. 5(3), pp. 1-16, 2020.
M. Ali Akber Dewan, Mahbub Murshed, Fuhua Lin, “Engagement detection in online learning: a review,” Smart Learning Environment, vol. 6(1), pp. 1-20, 2019.
Mihal Miu, Xiaokun Zhang, M. Ali Akber Dewan, Junye Wang, “Development of framework for aggregation and visualization of three-dimensional (3D) spatial data”, Big Data and Cognitive Computing, vol. 2(9), pp. 1-14, 2018.
Mihal Miu, Xiaokun Zhang, M. Ali Akber Dewan, Junye Wang, “Aggregation and visualization of spatial data with application to classification of land use and land cover”, Geoinformatics & Geostatistics: An Overview, vol. 5(4), pp. 1-9, 2017.
M. Ali Akber Dewan, E. Granger, F. Roli, R. Sabourin, and G. L. Marcialis, “Adaptive appearance modeling of faces for watch-list screening.”, Pattern Recognition, vol. 49, pp. 129-151, 2016.
John Mui, Fuhua Lin, M. Ali Akber Dewan, “Multi-armed-bandit algorithms for adaptive learning: a survey,” International Conference on Artificial Intelligence in Education, Springer, June 2021
M. Ali Akber Dewan, Walter Moreno Pachon, Fuhua Lin, “A review on visualization of educational data in online learning,” in Proceedings of International Conference on Web-based Learning, Learning Technologies and Systems, Springer, October 2020.
Yang Yan, Dunwei Wen, M. Ali Akber Dewan, Wen-Bo Huang, "Classification of artery and vein in retinal fundus images based on the context-dependent features," in Digital Human Modeling, Applications in Health, Safety, Ergonomics, and Risk Management: Ergonomics and Design, DHM 2017, Lecture Notes in Computer Science, vol. 10286, Springer, Cham, 2017, pp. 198-213.
Anton Vassiliev, Fuhua Lin, M. Ali Akber Dewan, "Combinatorial auction-based mechanism design for course offering determination," in Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Ergonomics and Design, DHM 2017, Lecture Notes in Computer Science, vol. 10286, Springer, Cham, 2017, pp. 376-392.
M. Ali Akber Dewan, Dan Qiao, Fuhua Lin, Dunwei Wen, Kinshuk, “An approach to improving single sample face recognition by using high confident tracking trajectories,” in Advances in Artificial Intelligence, Canadian AI 2016, Lecture Notes in Computer Science, vol. 9673, Springer, Cham, 2016, pp. 115-121.
Conference Publications
Arta Faramand, M. Ali Akber Dewan, Fuhua Lin, “Student-facing educational dashboard design for online learners,” Workshop on Adaptive Cyber Learning, IEEE Cyber Science and Technology Congress, Calgary, Canada, June 2020.
Kalpesh Lad, M. Ali Akber Dewan, Fuhua Lin, “Trust management for multi-management systems using smart contracts,” IEEE International Conference on Pervasive Intelligence and Computing, Calgary, Canada, June 2020. (received best presentation award)
Philip Kirbride, M. Ali Akber Dewan, Fuhua Lin, “Game-like captchas for intrusion detection,” IEEE Cyber Science and Technology Congress, Calgary, Canada, June 2020.
Mahbub Murshed, M. Ali Akber Dewan, Fuhua Lin, Dunwei Wen, “Engagement detection in e-learning environments using convolutional neural networks,” IEEE Cyber Science and Technology Congress, Fukuoka, Japan, August 2019.
Ming Wu, M. Ali Akber Dewan, Fuhua Lin, Mahbub Murshed, “Visualization of course discussion forums: a short review from online learning perspective,” IEEE Canadian Conference on Electrical and Computer Engineering, Edmonton, Canada, May 2019.
Fuhua Lin, M. Ali Akber Dewan, Vlad Voytenko, “Open interactive algorithm visualization,” IEEE Canadian Conference on Electrical and Computer Engineering, Edmonton, Canada, May 2019.
Saswat Dash, M. Ali Akber Dewan, Mahbub Murshed, Fuhua Lin, M. Abdullah-Al-Wadud, Animesh Das, “A two-stage algorithm for engagement detection in online learning,” IEEE International Conference on Sustainable Technologies for Industry, Dhaka, Bangladesh, December 2019.
M. Ali Akber Dewan, Fuhua Lin, Dunwei Wen, Mahbub Murshed, Zia Uddin, “A deep learning approach to detecting engagement of online learners,” IEEE International Conference on Internet of People, Guangzhou, China, October 2018.
Katarzyna Romanowska, Gurpreet Singh, M. Ali Akber Dewan, Fuhua Lin, “Towards developing an effective algorithm visualization tool for online learning,” IEEE International Conference on Internet of People, October 2018.
Huang Wen-Bo, Dunwei Wen, M. Ali Akber Dewan, Yan Yang, Wang Ke, “Automatic detection of optic disk in retina image based on CNN and CRFs” IEEE International Conference on Internet of People, October 2018.
Fuhua Lin, M. Ali Akber Dewan, Matthew Nguyen, “Optimizing rescheduling intervals through using multi-armed bandit algorithms,” IEEE International Conference on Cyber, Physical and Social Computing, Halifax, Canada, August 2018. (Received best paper award)
Joel Burrows, Vive Kumar, Kinshuk, M. Ali Akber Dewan, "Assessing a music student’s progress," IEEE International Conference on Advanced Learning Technologies, Mumbai, India, July 2018.
Ashesh Iqbaly, Mohammad Shamsul Arefin, M. Ali Akber Dewan, "A framework to recommend appropriate learning material from stack overflow discussions," International Conference on Intelligent Tutoring Systems, Montreal, Canada, June 2018.
M. Ali Akber Dewan, Fuhua Lin, Kinshuk, “Dynamic pricing mechanism for multiagent based system of well scheduling,” International Conference on Informatics, Electronics and Vision, Dhaka, Bangladesh, May 2016.
Whitelock-Wainwright, A., Laan, N., Wen, D., & Gasevic, D. (2020). Exploring student information problem solving behaviour using fine-grained concept map and search tool data. Computers & Education, vol. 145, February 2020, [103731], DOI
Zang, M., Wen, D., Liu, T., Zou, H., & Liu, C. (2018). A pooled object bank descriptor for image scene classification. Expert Systems with Applications, vol. 94, 15 March 2018, pp 250-264, DOI
Liu, T., Si, Y., Wen, D., Zang, M., & Lang, L. (2016). Dictionary learning for VQ feature extraction in ECG beats classification. Expert Systems with Applications, vol. 53, 1 July 2016, pp 129-137, DOI
Yang, G., Wen, D., Kinshuk, Chen, N.-S., & Sutinen, E. (2015). A novel contextual topic model for multi-document summarization. Expert Systems with Applications, vol. 42, no. 3, pp 1340-1352, DOI
Zang, M., Wen, D., Wang, K., Liu, T., & Song, W. (2015). A novel topic feature for image scene classification. Neurocomputing, vol. 148, pp 467-476, DOI
Yang, G., Chen, N.-S., Kinshuk, Sutinen, E., Anderson T., & Wen, D. (2013). The effectiveness of automatic text summarization in mobile learning contexts. Computers & Education, vol. 68, pp 233-243, DOI
