Sivanandam Venkatesh

About

Dr. S. Venkatesh, Associate Professor at the School of Electrical & Electronics Engineering, works in control engineering. His research area includes medical instrumentation. He has developed a predictive controller for the cement ball mill grinding process and FLSmidth Pvt. Ltd, Chennai. He was working in the field of data-driven modelling. Currently, he is working in the field of detection of Parkinson's disease using a multi-model approach as a Co-PI for the SPARC project funded by MHRD along with the international collaborator from NUS Singapore

Employment

Employment history is unavailable.

Education

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Projects & Funding

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Publications (25)

• Voxel-based analysis and advanced techniques for MRI scan classification in early diagnosis of Parkinson’s disease
  Advancing Healthcare Through Decision Intelligence Machine Learning Robotics and Analytics in Biomedical Informatics 2025 DOI: 10.1016/B978-0-443-26480-1.00003-5
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• A Comprehensive framework for Parkinson's disease diagnosis using explainable artificial intelligence empowered machine learning techniques
  Alexandria Engineering Journal 2024 DOI: 10.1016/j.aej.2024.07.106
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• Bio-inspired feature selection for early diagnosis of Parkinson’s disease through optimization of deep 3D nested learning
  Scientific Reports 2024 DOI: 10.1038/s41598-024-74405-5
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• Early Diagnosis of Parkinson’s Disease Based on Spiral and Wave Drawings Using Convolutional Neural Networks and Machine Learning Classifier
  Communications in Computer and Information Science 2024 DOI: 10.1007/978-3-031-54547-4_19
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• Enhanced grinding process of a cement ball mill through a generalised predictive controller integrated with a CARIMA model
  Scientific Reports 2024 DOI: 10.1038/s41598-024-82708-w
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• A comprehensive review on Advanced Process Control of cement kiln process with the focus on MPC tuning strategies
  Journal of Process Control 2023 DOI: 10.1016/j.jprocont.2022.12.002
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• An Overview Of Interpretability Techniques For Explainable Artificial Intelligence (XAI) In Deep Learning-Based Medical Image Analysis
  2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023 2023 DOI: 10.1109/ICACCS57279.2023.10113001
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• SLAM (Simultaneous localisation and mapping) Using E-PUCK Robot in Webots Software
  ViTECoN 2023 - 2nd IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies, Proceedings 2023 DOI: 10.1109/ViTECoN58111.2023.10157295
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• Integration of genetic algorithm tuned adaptive fading memory Kalman filter with model predictive controller for active fault-tolerant control of cement kiln under sensor faults with inaccurate noise covariance
  Mathematics and Computers in Simulation 2022 DOI: 10.1016/j.matcom.2021.07.023
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• A Systematic Review of Artificial Intelligence (AI) Based Approaches for the Diagnosis of Parkinson’s Disease
  Archives of Computational Methods in Engineering 2022 DOI: 10.1007/s11831-022-09710-1
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