Prajna Parimita Dash

About

Prajna Parimita Dash is an accomplished author and an assistant professor in the Department of Electronics and Communication Engineering at BIT Mesra, Ranchi. She completed her Ph.D. in 2017 from the esteemed National Institute of Technology (NIT) Rourkela, India. With a passion for research and a deep understanding of her field, Dash has made significant contributions to the domain of signal and image processing. Her expertise extends to the application of Artificial Intelligence (AI) and Machine Learning (ML) techniques in the field of signal processing and communication. Dash's research endeavors have garnered widespread recognition, as evidenced by her numerous publications in esteemed international journals and conferences. Her work reflects a strong focus on advancing the understanding and application of signal and image processing techniques, particularly in areas such as noise reduction, image enhancement, and pattern classification.

Employment

• Birla Institute of Technology Assistant Professor
  2013 - Present

Education

• Siksha O Anusandhan University MTech
  2007 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (26)

• Overcoming beam misalignment in OAM-NOMA via DoA-MUSIC estimation
  Physical Communication 2026 DOI: 10.1016/j.phycom.2026.103329
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• Enhancing non-orthogonal multiple access systems: A reconfigurable Machine Learning classification approach
  Engineering Applications of Artificial Intelligence 2025 DOI: 10.1016/j.engappai.2025.112080
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• Constellation design for PD-NOMA-based mmWave inter-satellite communication
  Computers and Electrical Engineering 2024 DOI: 10.1016/j.compeleceng.2024.109187
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• GP-based fair power allocation for 6G multi-user power domain NOMA network
  Journal of Ambient Intelligence and Humanized Computing 2024 DOI: 10.1007/s12652-022-03905-x
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• Two stage self-adaptive cognitive neural network for mixed noise removal from medical images
  Multimedia Tools and Applications 2024 DOI: 10.1007/s11042-023-15423-9
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• ML-based reconfigurable symbol decoder: An alternative for next-generation communication systems
  Engineering Applications of Artificial Intelligence 2022 DOI: 10.1016/j.engappai.2022.105123
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• Decisive Analysis of Fixed Power Allocation Coefficients in a PD-NOMA Network
  Proceedings of 4th International Conference on Cybernetics, Cognition and Machine Learning Applications, ICCCMLA 2022 2022 DOI: 10.1109/ICCCMLA56841.2022.9989217
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• Capacity Analysis of Non-Orthogonal Multiple Access for Uplink and Downlink
  Journal of Mobile Multimedia 2021 DOI: 10.13052/jmm1550-4646.171320
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• Coefficient-Scaling-Based Fair Power Allocation for Multi-User Power-Domain Nonorthogonal Multiple Access Network
  Journal of Circuits, Systems and Computers 2021 DOI: 10.1142/S0218126621503035
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• Interactive teaching learning based optimization technique for multiple object tracking
  Multimedia Tools and Applications 2021 DOI: 10.1007/s11042-020-10057-7
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