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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

Scholarly articles, refereed

  • Renganathan, M., Krishnan, P., Columbus, C. & Telagam Setti, S. (2025). Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning. IEEE Access, 13, Article 136336. 10.1109/access.2025.3594850 [More information]

  • Rajesh, K., Vakamulla, V. & Telagam Setti, S. (2025). Editorial: AI and machine learning application for neurological disorders and diagnosis. Frontiers in Human Neuroscience, 19, Article 1558584. 10.3389/fnhum.2025.1558584 [More information]

  • Sundhar, S., Sharma, R., Maheshwari, P., Kumar, S. & Telagam Setti, S. (2025). Enhancing leaf disease classification using GAT-GCN hybrid model. Frontiers in Plant Science, 16, Article 1569821. 10.3389/fpls.2025.1569821 [More information]

  • Maheshwari, S., Rajesh, K., Kanhangad, V., Acharya, U. & Telagam Setti, S. (2025). Entropy difference-based EEG channel selection technique for automated detection of ADHD. PLOS ONE, 20(4), Article e0319487. 10.1371/journal.pone.0319487 [More information]

  • Tanwer, P., Maheshwari, S., Behera, S., Chauhan, A. & Telagam Setti, S. (2025). Evaluation of vision transformers for the detection of fullness of garbage bins for efficient waste management. Frontiers in Artificial Intelligence, 8, Article 1612080. 10.3389/frai.2025.1612080 [More information]

  • Columbus Chinnappan, C., Thanaraj Krishnan, P., Elamaran, E. & Telagam Setti, S. (2025). Quantum Computing: Foundations, Architecture and Applications. Engineering Reports, 7(8), Article e70337. 10.1002/eng2.70337 [More information]

  • Sathiya, E., Rao, T. & Telagam Setti, S. (2024). A comparative study of wavelet families for schizophrenia detection. Frontiers in Human Neuroscience, 18, Article 1463819. 10.3389/fnhum.2024.1463819 [More information]

  • 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. Decision Analytics Journal, 10, Article 100420. 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 Sensors Journal, 24(21), 35231-35244 [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 Sensors Letters, 8(12), Article 6015504 [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 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 in Neuroinformatics, 18, Article 1414925. 10.3389/fninf.2024.1414925 [More information]

  • Sathiya, E., Rao, T. & Telagam Setti, S. (2024). Gabor filter-based statistical features for ADHD detection. Frontiers in Human Neuroscience, 18, Article 1369862. 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. International journal of imaging systems and technology (Print), 34(4), Article e23111 [More information]

Conference papers

  • Ranta, D., Rönnow, D., Hyll, K., Ottosson, P. & Telagam Setti, S. (2026). Classifying Roundwood Stacks into Frozen and Non-Frozen Using Radio Transmission Signals. 2026 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT). S. 64-67. [More information]

  • Hassan, M., Telagam Setti, S. & Björsell, N. (2025). Automated Anomaly Detection in Argon Oxygen Decarburization Processes. Proceedings. S. 1-5. [More information]

  • Ottosson, P., Telagam Setti, S., Ranta, D., Björsell, N. & Rönnow, D. (2025). Automated Classification of Moisture Content in Wood Chips Using UWB Radio Transmission Signals. 2025 5th International Conference on Artificial Intelligence and Signal Processing (AISP). S. 1-4. [More information]

  • Wang, C., Xue, Z., Telagam Setti, S., Camps, G., Hallez, H. & Vanrumste, B. (2025). Skeleton-Based Intake Gesture Detection With Spatial-Temporal Graph Convolutional Networks. 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). S. 1-6. [More information]

  • Srinivas, S., Jayaram, A., Bhavadharani, K., Pant, K., Thirumala, K. & Telagam Setti, S. (2024). Classification of Power Quality Disturbances Using Convolutional Neural Network and Temporal Convolutional Network Models. 2024 23rd National Power Systems Conference (NPSC). S. 1-6. [More information]

  • 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]

  • Tikariha, D., Krishnan, P. & Telagam Setti, S. (2024). Feature-Driven Fusion of Thermal and Visible Images for Face Analysis. 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP). S. 01-05. [More information]

  • Telagam Setti, S., Maheshwari, S. & Rajesh, K. (2024). Schizophrenia detection using entropy difference-based electroencephalogram channel selection approach. IEEE EMBC 2024 Conference Proceedings. [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