Sunilkumar Telagam Setti (T. Sunil Kumar), profilbild

Sunilkumar Telagam Setti (T. Sunil Kumar)

Senior lecturer

Research subject: Electrical Engineering

+4626648162

sunilkumar.telagam.setti@hig.se

About the researcher

Sunil holds a PhD in Electrical Engineering from the Indian Institute of Technology Indore. He has held postdoctoral positions both in Belgium at KU Leuven and in Norway at the Norwegian University of Science and Technology (NTNU). Most recently, Sunil was employed at the Vellore Institute of Technology in India as an Associate Professor. His research is mainly in predictive maintenance. However, Sunil's areas of interest also include machine learning, signal and image processing, remote sensing, biomedical signal and image processing.

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Articles

Refereed

  • Nayak, A., Shah, A., Maheshwari, S., Anand, V., Chakraborty, S. & Telagam Setti, S. (2024). An empirical wavelet transform-based approach for motion artifact removal in electroencephalogram signals. Elsevier, Decision Analytics Journal, 10 (), 10.1016/j.dajour.2024.100420 [More information]

  • Wang, C., Mertes, G., Kyritsis, K., Ding, L., Raedt, W., Camps, G., Telagam Setti, S., Chen, W., Jia, J., Hallez, H. & Vanrumste, B. (2024). Detection of Eating Gestures in Older Persons Using IMU Sensors with Multi-Stage Temporal Convolutional Network. IEEE, [More information]

  • Telagam Setti, S., Ranta, D., Rönnow, D. & Ottosson, P. (2024). Determining the Moisture Content of Wood Chips in Inline Industry Applications using UWB Radio Transmission Signals and Machine learning. IEEE, [More information]

  • Wang, C., Telagam Setti, S., De Raedt, W., Camps, G., Hallez, H. & Vanrumste, B. (2024). Eating Speed Measurement Using Wrist-Worn IMU Sensors Towards Free-Living Environments. IEEE, IEEE journal of biomedical and health informatics, 28 (10), (5816-5828). [More information]

  • Krishnan, P., Krishnadoss, P., Khandelwal, M., Gupta, D., Nihaal, A. & Telagam Setti, S. (2024). Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer. Frontiers, Frontiers in Neuroinformatics, 18 (), 10.3389/fninf.2024.1414925 [More information]

  • Sathiya, E., Rao, T. & Telagam Setti, S. (2024). Gabor filter-based statistical features for ADHD detection. Frontiers, Frontiers in Human Neuroscience, 18 (), 10.3389/fnhum.2024.1369862 [More information]

  • Gour, M., Jain, S. & Telagam Setti, S. (2024). Robust nuclei segmentation with encoder‐decoder network from the histopathological images. Wiley, International journal of imaging systems and technology (Print), 34 (4), [More information]

Conference papers

  • Yesmin, N., Bautista Gonzalez, O., Telagam Setti, S. & Rönnow, D. (2024). Comparison of Physical and LSTM Neural Network Model of a High-Pressure Valve Used in the Steel Industry. : 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). [More information]

  • Wang, C., Telagam Setti, S., De Raedt, W., Camps, G., Hallez, H. & Vanrumste, B. (2024). Evaluation Metrics for Food Intake Activity Recognition Using Segment-Wise IoU. [More information]

  • Andersson, R., Telagam Setti, S. & Chilo, J. (2024). The Information Fusion on Person Recognition Using Hip Joint Angles. : 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA). S. 1-6. [More information]

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This page was last updated 2024-05-22