Journal Papers​​​

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• E. Helmers, C.C. Chang, J. Dauwels, “Carbon Footprinting of Universities Worldwide Part II: First Quantification of Complete Embodied Impacts of Two Campuses in Germany and Singapore,” Sustainability, 2022, 14, 3865 (IF 3.251). PDF

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• K. Lee, Y. Jiang, A. Ceder, J. Dauwels, R. Su, O. A. Nielsen, “Path-oriented synchronized transit scheduling using time-dependent data,” Transportation Research Part C: Emerging Technologies, Volume 136, 2022, 103505 (IF 8.089). PDF

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• S. Xu, Z. Yang, D. Chakraborty, YHV Chua, S. Tolomeo, S. Winkler, M. Birnbaum, B.-L. Tan, J. Lee, and J. Dauwels, “Identifying psychiatric manifestations in schizophrenia and depression from audio-visual behavioural indicators through a machine-learning approach,” Schizophr 8, 92, 2002 (IF 5.4). PDF

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• Bianca Burger, Karl-Heinz Nenning, Ernst Schwartz, Daniel S. Margulies, Alexandros Goulas, Hesheng Liu, Simon Neubauer, Justin Dauwels, Daniela Prayer, Georg Langs, "Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment," NeuroImage, Volume 247, 2022 (IF 6.556). PDF

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• L. Liu, X. Jiang, M. Saerbeck and J. Dauwels, "Recurrent Affine Transform Encoder for Image Representation," IEEE Access, vol. 10, pp. 18653-18666, 2022 (IF 3.367). PDF

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• S. Neogi and J. Dauwels, “Factored Latent-Dynamic Conditional Random Fields for single and multi-label sequence modeling,”  Pattern Recognition, Volume 122, 2022  (IF 7.74). PDF

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• P. Thangavel, J. Thomas, N. Sinha, W.Y. Peh, R. Yuvaraj, S. Cash, R. Chaudhari, S. Karia, J. Jing, R. Rathakrishnan, V. Saini, N. Shah, R. Srivastava, Y.L. Tan, B. Westover, and J. Dauwels,  “Improving automated diagnosis of epilepsy from EEGs beyond IEDs”, J. Neural Eng. 19 066017, 2022 (IF 4.0). PDF

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• H. Yu, S. Wu, and J. Dauwels, "Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 (IF 16.39). PDF

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Conference Papers

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• A. Piazzoni, R. Vijay, J. Cherian, L. Chen and J. Dauwels, "Challenges in Virtual Testing of Autonomous Vehicles," 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 416-421, 2022, Singapore.

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• A. Piazzoni, J. Cherian, R. Vijay, L. -P. Chau and J. Dauwels, "CoPEM: Cooperative Perception Error Models for Autonomous Driving," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, Macau, China.

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• W. Y. Peh, Y. Yao and J. Dauwels, "Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG," 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 3599-3602, 2022, Glasgow, Scotland, United Kingdom.

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• Liu, H., Perera, L.P.G., Khong, A.W.H., Dauwels, J., Styles, S.J., and Khudanpur, S., “Enhancing Language Identification Using Dual-Mode Model with Knowledge Distillation,” Proc. The Speaker and Language Recognition Workshop (Odyssey 2022), 248-254, 2022, Beijing, China.