Prabhat Ranjan Singh

About

Dr. Prabhat Ranjan Singh is an Associate Professor in the School of software at QZUIE, with research spanning swarm intelligence, optimization, machine learning, natural language processing, and networked systems, and his public scholar profile identifies current interests in artificial intelligence, optimization theory, foundation models, and NLP.

His institutional profile highlights a globally recognized record in swarm intelligence and computational modeling, with work aimed at technically advanced systems that also create social and economic impact through practical applications.

Employment

Employment history is unavailable.

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• A Novel Approach for Distinguishing Human and AI-Generated Texts
  ACM Transactions on Asian and Low-Resource Language Information Processing 2026 DOI: 10.1145/3793195
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• Artificial Bee Colony Algorithm with Multi-objective in Collaboration Edge Computing
  International Journal of Cooperative Information Systems 2025 DOI: 10.1142/S0218843025500017
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• Entity Naming in NLP: Hybrid Approach GPT Transformer and Multi-level RNN
  ACM Transactions on Asian and Low-Resource Language Information Processing 2025 DOI: 10.1145/3744903
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• Modelling dynamic links among energy transition, technological level and economic development from the perspective of economic globalisation: Evidence from MENA economies
  Energy Reports 2023 DOI: 10.1016/j.egyr.2023.02.089
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• Synthetic minority oversampling technique in stages for unbalanced climate and rice dataset
  Proceedings of the 3rd International Conference on Telecommunications and Communication Engineering 2019 DOI: 10.1145/3369555.3369578
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• Ludo game-based metaheuristics for global and engineering optimization
  Applied Soft Computing 2019 DOI: 10.1016/j.asoc.2019.105723
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• Modified Spider Monkey Optimization based on Nelder–Mead method for global optimization
  Modified Spider Monkey Optimization based on Nelder–Mead method for global optimization 2018 DOI: doi.org/10.1016/j.eswa.2018.05.040
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• Adaptive Energy-Aware Algorithms for Minimizing Energy Consumption and SLA Violation in Cloud Computing
  IEEE Access 2018 DOI: 10.1109/access.2018.2872750
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• I/O standard based power optimized processor register design on ultra scale FPGA
  2014 International Conference on Computing for Sustainable Global Development (INDIACom) 2014 DOI: 10.1109/indiacom.2014.6828123
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• Output load capacitance based low power implementation of UART on FPGA
  2014 International Conference on Computer Communication and Informatics 2014 DOI: 10.1109/iccci.2014.6921826
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