Dr. Anoop Prabhakaranpillai Sreelatha

About

I am a professor, prolific researcher, and visionary startup founder who has dedicated my life to advancing knowledge in Mechanical Engineering. With a Ph.D. from Vellore Institute of Technology, Chennai Campus, and currently serving as a post-doctoral fellow at the HuT Lab, Amrita Vishwa Vidyapeetham, Amritapuri Campus, I have published groundbreaking research, earning recognition for expertise in Condition Monitoring, Fault Diagnosis, Machine Learning, Deep Learning, and more. As the founder of two startups, I continue to lead innovation, shaping the future through a seamless blend of academic excellence and entrepreneurial acumen..

Employment

• Providence Engineering College Head of Administration & Associate Professor
  2024 - Present
• Amrita Vishwa Vidyapeetham University Post Doctoral Fellow
  2024 - 2024
• Lily Happiness Solutions Pvt Ltd Founder & Mentor
  2021 - Present
• YNot Innovations Pvt Ltd Founder & Mentor
  2019 - Present
• MES Institute of Technology and Management Assistant Professor
  2014 - 2023
• Valia Koonambaikulathamma College of Engineering and Technology Lecturer
  2010 - 2012

Education

• Vellore Institute of Technology - Chennai Campus P.hD
  2015 - 2024
• SRM University M.Tech
  2012 - 2014
• TRAVANCORE ENGINEERING COLLEGE B.Tech
  2005 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Tire Pressure Monitoring System Using Feature Fusion and Family of Lazy Classifiers
  Engineering Reports 2025 DOI: 10.1002/eng2.13057
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• Monitoring the condition of nitrogen-filled tires using weightless neural networks
  Automatika 2024 DOI: 10.1080/00051144.2024.2310979
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• Application of Feature Fusion Strategy for Monitoring the Condition of Nitrogen Filled Tires using Tree Family of Classifiers
  Physica Scripta 2024 DOI: 10.1088/1402-4896/ad2252
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• Enhancing Tire Condition Monitoring through Weightless Neural Networks Using MEMS‐Based Vibration Signals
  Journal of Engineering 2024 DOI: 10.1155/2024/1321775
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• Photovoltaic Module Fault Detection Based on Deep Learning Using Cloud Computing
  Scientific Programming 2023 DOI: 10.1155/2023/8805817
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• Enhanced Tyre Pressure Monitoring System for Nitrogen Filled Tyres Using Deep Learning
  Machines 2023 DOI: 10.3390/machines11040434
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• Tire Condition Monitoring Using Transfer Learning-Based Deep Neural Network Approach
  Sensors 2023 DOI: 10.3390/s23042177
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• Comparative study on different balancing conditions of an air filled tyre using statistical features and classification via regression algorithm
  IOP Conference Series: Materials Science and Engineering 2021 DOI: 10.1088/1757-899x/1012/1/012031
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• Influence of unbalance on classification accuracy of tyre pressure monitoring system using vibration signals
  SDHM Structural Durability and Health Monitoring 2021 DOI: 10.32604/SDHM.2021.06656
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• Classifying machine learning features extracted from vibration signal with logistic model tree to monitor automobile tyre pressure
  SDHM Structural Durability and Health Monitoring 2017 DOI: 10.3970/sdhm.2017.011.191
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