Dr. Anil Kumar

Employment

• Manipal Academy of Higher Education Assistant Professor
  2024 - Present
• BMS Institute of Technology and Management Assistant Professor
  2022 - 2024
• NITTE Meenakshi Institute of Technology Assistant Professor
  2020 - 2022

Education

• National Institute of Technology Karnataka Ph.D
  2014 - 2021
• Dr Ambedkar Institute of Technology M.Tech
  2012 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Ultra-Fast and Accurate Estimation of Large-Scale and Multi-Level Mesh-Based On-Chip Architectures Using Machine Learning and Multiprocessing
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3659944
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• A Survey on Machine-Learning Models Used for Detecting Brain Tumors
  2025 DOI: 10.1007/978-981-96-3105-6_37
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• Adaptive Rank Pruning: Dynamic Low-Rank Model Merging and Compression for Efficient AI Deployment
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3619975
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• Lung Cancer Prediction Using Integrated Deep Learning Model
  2025 DOI: 10.1007/978-981-96-3105-6_32
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• LBF-NoC: Learning-Based Framework to Predict Performance, Power and Area for Network-On-Chip Architectures
  Journal of Circuits, Systems and Computers 2022 DOI: 10.1142/S0218126622501961
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• Arbitrage: Stock Market Comparative Analysis
  4th International Conference on Circuits, Control, Communication and Computing, I4C 2022 2022 DOI: 10.1109/I4C57141.2022.10057786
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• Machine Learning based framework to predict the Network Usage in Smart Parking Applications
  4th International Conference on Circuits, Control, Communication and Computing, I4C 2022 2022 DOI: 10.1109/I4C57141.2022.10057657
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• Quantum Grid: Toward Future Energy Transformation
  Computational Vision and Bio-Inspired Computing 2022 DOI: 10.1007/978-981-16-9573-5_40
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• ELBA-NoC: ensemble learning-based accelerator for 2D and 3D network-on-chip architectures
  International Journal of Computational Science and Engineering 2020 DOI: 10.1504/ijcse.2020.113176
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• UPM-NoC: Learning Based Framework to Predict Performance Parameters of Mesh Architecture in On-Chip Networks
  Intelligent Computing Techniques for Smart Energy Systems 2020 DOI: 10.1007/978-981-15-0214-9_75
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