Ramesh Dharavath

About

Hi, I am Dharavath Ramesh from the Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad 826004, India. I am an Associate in the Computer Science and Engineering Department at the Indian Institute of Technology Dhanbad, Jharkhand, India. I obtained Ph.D. from the Indian Institute of Technology (Indian School of Mines), Dhanbad. My Master's degree is in Computer Science and Engineering with a specialization in Software Engineering from Jawaharlal Nehru Technological University, Hyderabad, India. My Bachelor of Engineering degree is in Computer Science and Engineering from KITS, Warangal, India. My research interests include Distributed Computing, Distributed Databases, Cloud Storage & Security, Modelling Big Data, Processing Big Data, Virtualization and Scheduling in Cloud environments, Blockchain, Community Detection in Social Networks, and ML paradigms in Agriculture. I have published over a hundred technical papers in refereed journals and conference proceedings and served in various capacities for journals and conferences. I was the Organizing Co-Chair for RAIT 2018, RAIT 2014 and advisory committee member of various International and National conferences/workshops/symposiums. I have served on the program committees of various conferences, including BDA, ICDCIT, ADCONS, RAIT, and ICDE. He is a senior member of the IEEE and ACM.

Employment

• VIZJA University Visiting Associate and Researcher
  2025 - Present
• Warsaw University of Technology Visiting Lecturer
  2024 - 2024
• University of Aberdeen Visiting Researher
  2024 - 2024
• University of Southampton Visiting Professor
  2023 - 2023
• Indian Institute of Technology Dhanbad Associate Professor
  2022 - Present
• Indian Institute of Technology Assistant Professor
  2011 - 2022

Education

• Kakatiya Institute of Technology and Science Batchelor of Technology (B.Tech)
  2000 - 2004

Projects & Funding

Projects & funding information is unavailable.

Publications (141)

• FedBIBD: Balanced Incomplete Block Design for Fair Practical Federated Learning
  2027 DOI: 10.1007/978-3-032-30805-4_16
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• A Novel LTP and LPQ Framework for Potato Disease Detection under Uncontrolled and Clutter Conditions
  Potato Research 2026 DOI: 10.1007/s11540-026-10133-9
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• Synergistic EEG signal processing for brain–computer interfaces using hybrid MothCray optimization and deep learning
  Neuroscience 2026 DOI: 10.1016/j.neuroscience.2026.07.060
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• CI+KL: Confidence and divergence-guided aggregation with mixed-precision training for robust federated learning
  Information Sciences 2026 DOI: 10.1016/j.ins.2026.123496
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• GreenEdge AI: Sustainable federated learning for smart city air quality prediction
  Journal of Industrial Information Integration 2026 DOI: 10.1016/j.jii.2026.101081
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• Optimizing deep CNN architecture via hybrid Harris Hawks arithmetic algorithm for EEG meditation classification
  Neuroscience 2026 DOI: 10.1016/j.neuroscience.2026.02.001
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• Optimizing EEG feature selection for meditation classification using Sea Lion optimization and deep learning
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2025.108456
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• A Synergistic Framework: Digital Twin Meets Blockchain for Next-Gen Healthcare Data Security and Analytics
  2026 DOI: 10.1007/978-3-032-22059-2_28
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• Correction to: Enhancing Healthcare Privacy: A Synergistic Approach with Federated Learning and Blockchain Integration
  2026 DOI: 10.1007/978-981-96-4148-2_40
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• Federated Conformal Prediction with Valid Coverage Guarantees for Non-IID Distributed Clients
  2026 DOI: 10.1007/978-3-032-31141-2_21
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