Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

Justin Dauwels

Publications

  1. A Discrete Wavelet Transform-Based Lightweight Transformer Model for Intelligent Fault Diagnosis
    Jiarui Zhou; Sinian Li; Justin Dauwels;
    In 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 1251-1255, 2026. DOI: 10.1109/ICASSP55912.2026.11464936

  2. Physics-Informed Intelligent Motor Fault Detection
    Sinian Li; Raj Thilak Rajan; Edmund Marth; Patrick Zorn; Wolfgang Gruber; Justin Dauwels;
    In 33rd European Signal Processing Conference (EUSIPCO),
    IEEE, pp. 1158--1162, 2025.
    document

  3. Compositional Scene Understanding through Inverse Generative Modeling
    Yanbo Wang; Justin Dauwels; Yilun Du;
    In Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025,
    PMLR, 2025.
    document

  4. Surgical Workflow Analysis: An Explainable Approach
    Christos Spiliadis; Yiheng Chang; Justin Dauwels; Chavdar Bachvarov; John van Den Dobbelsteen; Benno H. W. Hendriks; Maarten van der Elst; Markku Eskola;
    In 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
    pp. 1-7, 2025. DOI: 10.1109/EMBC58623.2025.11253978

  5. Uncertainty-Aware Gate-Lifetime Prediction of p-GaN Gate HEMTs Using Gaussian Processes
    Shuoyan Zhao; Raj Thilak Rajan; Andrea Tallarico; Maurizio Millesimo; Vladislav Volosov; Antonio Imbruglia; Justin Dauwels;
    In 2025 9th International Conference on System Reliability and Safety (ICSRS),
    pp. 152-156, 2025. DOI: 10.1109/ICSRS68021.2025.11422186

  6. NeuroDots: From Single-Target to Brain-Network Modulation: Why and What Is Needed?
    Dirk de Ridder; Muhammad Ali Siddiqi; Justin Dauwels; Wouter A. Serdijn; Christos Strydis;
    Neuromodulation,
    April 16, 2024. DOI: https://doi.org/10.1016/j.neurom.2024.01.003
    document

  7. PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles
    Andrea Piazzoni; Jim Cherian; Justin Dauwels; Lap-Pui Chau;
    IEEE Trans. Intell. Transp. Syst.,
    Volume 25, Issue 1, pp. 670--681, 2024. DOI: 10.1109/TITS.2023.3311633
    document

  8. EAD-GAN: A Generative Adversarial Network for Disentangling Affine Transforms in Images
    Letao Liu; Xudong Jiang; Martin Saerbeck; Justin Dauwels;
    IEEE Trans. Neural Networks Learn. Syst.,
    Volume 35, Issue 3, pp. 3652--3662, 2024. DOI: 10.1109/TNNLS.2022.3195533
    document

  9. Machine Learning Algorithm to Estimate Cardiac Output Based On Less-Invasive Arterial Blood Pressure Measurements
    Alan Hamo; Niki Ottenhof; Jan-Wiebe H. Korstanje; Justin Dauwels;
    In 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024, Orlando, FL, USA, July 15-19, 2024,
    IEEE, pp. 1--4, 2024. DOI: 10.1109/EMBC53108.2024.10781760
    document

  10. Prediction of Postinduction Hypotension by Machine Learning
    Shuoyan Zhao; Alan Hamo; Niki Ottenhof; Jan-Wiebe H. Korstanje; Justin Dauwels;
    In 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024, Orlando, FL, USA, July 15-19, 2024,
    IEEE, pp. 1--4, 2024. DOI: 10.1109/EMBC53108.2024.10782974
    document

  11. MoReSo: A DNN Framework Expediting Content-Based Video Image Retrieval (CBVIR)
    Sinian Li; Doruk Barokas Profeta; Justin Dauwels;
    In 32nd European Signal Processing Conference, EUSIPCO 2024, Lyon, France, August 26-30, 2024,
    IEEE, pp. 551--555, 2024.
    document

  12. Precipitation Nowcasting Using Physics Informed Discriminator Generative Models
    Junzhe Yin; Cristian Meo; Ankush Roy; Zeineh Bou Cher; Mircea Lica; Yanbo Wang; Ruben Imhoff; Remko Uijlenhoet; Justin Dauwels;
    In 32nd European Signal Processing Conference, EUSIPCO 2024, Lyon, France, August 26-30, 2024,
    IEEE, pp. 967--971, 2024.
    document

  13. alphaTC-VAE: On the relationship between Disentanglement and Diversity
    Cristian Meo; Louis Mahon; Anirudh Goyal; Justin Dauwels;
    In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024,
    OpenReview.net, 2024.
    document

  14. Unveiling Hidden Anomalies: A Hybrid Approach for Surface Mounted Electronics
    Amir Ghorbani Ghezeljehmeidan; Willem Dirk van Driel; Justin Dauwels;
    In 22nd IEEE International Conference on Industrial Informatics, INDIN 2024, Beijing, China, August 18-20, 2024,
    IEEE, pp. 1--6, 2024. DOI: 10.1109/INDIN58382.2024.10774393
    document

  15. Towards Robust Object Detection in Unseen Catheterization Laboratories
    Zipeng Wang; Rick M. Butler; John van den Dobbelsteen; Benno H. W. Hendriks; Maarten Van der Elst; Justin Dauwels;
    In IEEE International Symposium on Medical Measurements and Applications, MeMeA 2024, Eindhoven, The Netherlands, June 26-28, 2024,
    IEEE, pp. 1--6, 2024. DOI: 10.1109/MEMEA60663.2024.10596906
    document

  16. Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG
    Wei Yan Peh; Thangavel Prasanth; Yuanyuan Yao; John Thomas; Yee-Leng Tan; Justin Dauwels;
    Int. J. Neural Syst.,
    Volume 33, Issue 3, pp. 2350012:1--2350, 2023. DOI: 10.1142/S0129065723500120
    document

  17. Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes
    Hang Yu; Songwei Wu; Justin Dauwels;
    IEEE Trans. Pattern Anal. Mach. Intell.,
    Volume 45, Issue 1, pp. 475--488, 2023. DOI: 10.1109/TPAMI.2022.3140886
    document

  18. Data Science Education: The Signal Processing Perspective [SP Education]
    Sharon Gannot; Zheng-Hua Tan; Martin Haardt; Nancy F. Chen; Hoi-To Wai; Ivan Tashev; Walter Kellermann; Justin Dauwels;
    IEEE Signal Process. Mag.,
    Volume 40, Issue 7, pp. 89--93, 2023. DOI: 10.1109/MSP.2023.3294709
    document

  19. Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning
    Rongkai Zhang; Cong Zhang; Zhiguang Cao; Wen Song; Puay Siew Tan; Jie Zhang; Bihan Wen; Justin Dauwels;
    IEEE Trans. Intell. Transp. Syst.,
    Volume 24, Issue 1, pp. 1325--1336, 2023. DOI: 10.1109/TITS.2022.3207011
    document

  20. Sensing and Machine Learning for Automotive Perception: A Review
    Ashish Pandharipande; Chih-Hong Cheng; Justin Dauwels; Sevgi Z. Gurbuz; Javier Ibanez-Guzman; Guofa Li; Andrea Piazzoni; Pu Wang; Avik Santra;
    IEEE Sensors Journal,
    Volume 23, Issue 11, pp. 11097-11115, 2023. DOI: 10.1109/JSEN.2023.3262134

  21. Modeling and Inference of Sparse Neural Dynamic Functional Connectivity Networks Underlying Functional Ultrasound Data
    Ruben Wijnands; Justin Dauwels; Ines Serra; Pieter Kruizinga; Aleksandra Badura; Borbála Hunyadi;
    In ICASSP Workshops,
    pp. 1-5, 2023. DOI: 10.1109/ICASSPW59220.2023.10193029
    document

  22. Nowcasting of Extreme Precipitation Using Deep Generative Models
    Haoran Bi; Maksym Kyryliuk; Zhiyi Wang; Cristian Meo; Yanbo Wang; Ruben Imhoff; Remko Uijlenhoet; Justin Dauwels;
    In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023,
    IEEE, pp. 1--5, 2023. DOI: 10.1109/ICASSP49357.2023.10094988
    document

  23. Automatic Camera Pose Estimation by Key-Point Matching of Reference Objects
    Jinchen Zeng; Rick M. Butler; John van den Dobbelsteen; Benno H. W. Hendriks; Maarten Van der Elst; Justin Dauwels;
    In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023,
    IEEE, pp. 1--5, 2023. DOI: 10.1109/ICASSP49357.2023.10095197
    document

  24. Slot-VAE: Object-Centric Scene Generation with Slot Attention
    Yanbo Wang; Letao Liu; Justin Dauwels;
    In International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA,
    PMLR, pp. 36020--36035, 2023.
    document

  25. MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization
    Yi Han Victoria Chua; Hexin Liu; Leibny Paola Garcia; Fei Ting Woon; Jinyi Wong; Xiangyu Zhang; Sanjeev Khudanpur; Andy W. H. Khong; Justin Dauwels; Suzy J. Styles;
    In 24th Annual Conference of the International Speech Communication Association, Interspeech 2023, Dublin, Ireland, August 20-24, 2023,
    ISCA, pp. 4109--4113, 2023. DOI: 10.21437/INTERSPEECH.2023-1446
    document

  26. Investigating model performance in language identification: beyond simple error statistics
    Suzy J. Styles; Yi Han Victoria Chua; Fei Ting Woon; Hexin Liu; Leibny Paola Garcia; Sanjeev Khudanpur; Andy W. H. Khong; Justin Dauwels;
    In 24th Annual Conference of the International Speech Communication Association, Interspeech 2023, Dublin, Ireland, August 20-24, 2023,
    ISCA, pp. 4129--4133, 2023. DOI: 10.21437/INTERSPEECH.2023-1707
    document

  27. A Data-Driven Approach to Estimate and Predict the Traffic Incidents' Queue Length
    Banishree Ghosh; Justin Dauwels;
    In 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023, Bilbao, Spain, September 24-28, 2023,
    IEEE, pp. 2517--2522, 2023. DOI: 10.1109/ITSC57777.2023.10422644
    document

  28. A Dynamic Object Removal and Reconstruction Algorithm for Point Clouds
    Sarat Chandra Nagavarapu; Anuj Abraham; Nithish Muthuchamy Selvaraj; Justin Dauwels;
    In IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2023, Singapore, December 11-13, 2023,
    IEEE, pp. 1--8, 2023. DOI: 10.1109/SOLI60636.2023.10425733
    document

  29. Recurrent Affine Transform Encoder for Image Representation
    Letao Liu; Xudong Jiang; Martin Saerbeck; Justin Dauwels;
    IEEE Access,
    Volume 10, pp. 18653--18666, 2022. DOI: 10.1109/ACCESS.2022.3150340
    document

  30. Comparison of different Bayesian methods for estimating error bars with incident duration prediction
    Banishree Ghosh; Justin Dauwels;
    J. Intell. Transp. Syst.,
    Volume 26, Issue 4, pp. 420--431, 2022. DOI: 10.1080/15472450.2021.1894936
    document

  31. Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment
    Bianca Burger; Karl{-}Heinz Nenning; Ernst Schwartz; Daniel S. Margulies; Alexandros Goulas; Hesheng Liu; Simon Neubauer; Justin Dauwels; Daniela Prayer; Georg Langs;
    NeuroImage,
    Volume 247, pp. 118770, 2022. DOI: 10.1016/J.NEUROIMAGE.2021.118770
    document

  32. Factored Latent-Dynamic Conditional Random Fields for single and multi-label sequence modeling
    Satyajit Neogi; Justin Dauwels;
    Pattern Recognit.,
    Volume 122, pp. 108236, 2022. DOI: 10.1016/J.PATCOG.2021.108236
    document

  33. Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG
    Wei Yan Peh; Yuanyuan Yao; Justin Dauwels;
    In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022,
    IEEE, pp. 3599--3602, 2022. DOI: 10.1109/EMBC48229.2022.9871916
    document

  34. Challenges in Virtual Testing of Autonomous Vehicles
    Andrea Piazzoni; Roshan Vijay; Jim Cherian; Lyu Chen; Justin Dauwels;
    In 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, Singapore, Singapore, December 11-13, 2022,
    IEEE, pp. 416--421, 2022. DOI: 10.1109/ICARCV57592.2022.10004249
    document

  35. CoPEM: Cooperative Perception Error Models for Autonomous Driving
    Andrea Piazzoni; Jim Cherian; Roshan Vijay; Lap-Pui Chau; Justin Dauwels;
    In 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022, Macau, China, October 8-12, 2022,
    IEEE, pp. 3934--3939, 2022. DOI: 10.1109/ITSC55140.2022.9921807
    document

  36. Enhancing Language Identification Using Dual-Mode Model with Knowledge Distillation
    Hexin Liu; Leibny Paola Garcia-Perera; Andy W. H. Khong; Justin Dauwels; Suzy J. Styles; Sanjeev Khudanpur;
    In Odyssey 2022: The Speaker and Language Recognition Workshop, 28 June - 1 July 2022, Beijing, China,
    ISCA, pp. 248--254, 2022. DOI: 10.21437/ODYSSEY.2022-35
    document

  37. Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study
    John Thomas; Thangavel Prasanth; Wei Yan Peh; Jin Jing; Yuvaraj Rajamanickam; Sydney S. Cash; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; Yee{-}Leng Tan; M. Brandon Westover; Justin Dauwels;
    Int. J. Neural Syst.,
    Volume 31, Issue 5, pp. 2050074:1--2050, 2021. DOI: 10.1142/S0129065720500744
    document

  38. Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features
    Wei Yan Peh; John Thomas; Elham Bagheri; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; Yee-Leng Tan; Justin Dauwels;
    Int. J. Neural Syst.,
    Volume 31, Issue 6, pp. 2150016:1--2150, 2021. DOI: 10.1142/S0129065721500167
    document

  39. Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis
    Thangavel Prasanth; John Thomas; Wei Yan Peh; Jin Jing; Yuvaraj Rajamanickam; Sydney S. Cash; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; Yee-Leng Tan; M. Brandon Westover; Justin Dauwels;
    Int. J. Neural Syst.,
    Volume 31, Issue 8, pp. 2150032:1--2150, 2021. DOI: 10.1142/S0129065721500325
    document

  40. Editorial: Celebration of the 30th Anniversary of IJNS
    Justin Dauwels;
    Int. J. Neural Syst.,
    Volume 31, Issue 12, pp. 2103013:1--2103, 2021. DOI: 10.1142/S0129065721030131
    document

  41. A Generic GPU-Accelerated Framework for the Dial-A-Ride Problem
    Ramesh Ramasamy Pandi; Songguang Ho; Sarat Chandra Nagavarapu; Justin Dauwels;
    IEEE Trans. Intell. Transp. Syst.,
    Volume 22, Issue 10, pp. 6473--6488, 2021. DOI: 10.1109/TITS.2020.2992560
    document

  42. Context Model for Pedestrian Intention Prediction Using Factored Latent-Dynamic Conditional Random Fields
    Satyajit Neogi; Michael Hoy; Kang Dang; Hang Yu; Justin Dauwels;
    IEEE Trans. Intell. Transp. Syst.,
    Volume 22, Issue 11, pp. 6821--6832, 2021. DOI: 10.1109/TITS.2020.2995166
    document

  43. R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks For Image Denoising Via Residual Recovery
    Rongkai Zhang; Jiang Zhu; Zhiyuan Zha; Justin Dauwels; Bihan Wen;
    In 2021 IEEE International Conference on Image Processing, ICIP 2021, Anchorage, AK, USA, September 19-22, 2021,
    IEEE, pp. 1624--1628, 2021. DOI: 10.1109/ICIP42928.2021.9506323
    document

  44. End-to-End Language Diarization for Bilingual Code-Switching Speech
    Hexin Liu; Leibny Paola Garcia-Perera; Xinyi Zhang; Justin Dauwels; Andy W. H. Khong; Sanjeev Khudanpur; Suzy J. Styles;
    In 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30 - September 3, 2021,
    ISCA, pp. 1489--1493, 2021. DOI: 10.21437/INTERSPEECH.2021-82
    document

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