Gone Neelakantam

About

Dr. Gone Neelakantam is an Assistant Professor in the Department of Computer Science and Engineering at SRM University-AP, Amaravati, India. He previously worked as a Postdoctoral Research Fellow at Mahindra University, Hyderabad, and holds a Ph.D. in Computer Science and Information Engineering from Chang Gung University, Taiwan. His research expertise includes Edge/Fog Computing, Artificial Intelligence, intelligent decision-making, and multi-service optimization. His current research focuses on applying AI and data-driven approaches to Indian clinical and population health datasets to investigate the relationship between nutrition and health risks among infants and children under five years of age.

Employment

• Mahindra École Centrale Postdoctoral Fellow
  2022 - Present

Education

• Chang Gung University PhD
  2015 - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Data Generation, Storage, and AI-Enabled Processing of IoMT Healthcare Data in Edge Computing
  2025 DOI: 10.1201/9781003393498-7
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• Data Generation, Storage, and AI-Enabled Processing of IoMT Healthcare Data in Edge Computing
  Health 5 0 Concepts Challenges and Solutions 2025 DOI: 10.1201/9781003393498-7
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• Machine Learning-based Decision Making for Charging/Discharging Cost Optimization of PREV in Smart City
  Proceedings of the 1st International Symposium on Parallel Computing and Distributed Systems Pcds 2024 2024 DOI: 10.1109/PCDS61776.2024.10743752
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• Prediction Model for Suicidal Behavior Disorder Risk Analysis by Correlating Cyber and Real World Data
  Proceedings of the 2024 International Conference on Emerging Techniques in Computational Intelligence Icetci 2024 2024 DOI: 10.1109/ICETCI62771.2024.10704210
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• Analysis and Prediction of Plant Growth in a Cloud-Based Smart Sensor Controlled Environment
  Predictive Analytics in Cloud, Fog, and Edge Computing 2023 DOI: 10.1007/978-3-031-18034-7_4
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• Analysis and Prediction of Plant Growth in a Cloud-Based Smart Sensor Controlled Environment
  Predictive Analytics in Cloud Fog and Edge Computing Perspectives and Practices of Blockchain Iot and 5g 2022 DOI: 10.1007/978-3-031-18034-7_4
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• Role of Internet of Things and Artificial Intelligence in COVID-19 Pandemic Monitoring
  IoT Applications for Healthcare Systems 2022 DOI: 10.1007/978-3-030-91096-9_2
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• Fog computing enabled locality based product demand prediction and decision making using reinforcement learning
  Electronics Switzerland 2021 DOI: 10.3390/electronics10030227
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• Reinforcement Learning Based Passengers Assistance System for Crowded Public Transportation in Fog Enabled Smart City
  Electronics 2020 DOI: 10.3390/electronics9091501
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