12 publications
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart InstrumentationBy Bibhu Prasad Ganthia, Subash Ranjan Kabat
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article →
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart InstrumentationBy Bibhu Prasad Ganthia, Subash Ranjan Kabat
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article →
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Autonomous Multi-Agent Sensor Network for Distributed Environmental InstrumentationBy Bibhu Prasad Ganthia, Subash Ranjan Kabat
Abstract: Environmental monitoring requires intelligent, scalable, and autonomous instrumentation systems capable of continuously sensing, processing, and communicating heterogeneous data under dynamic conditions. This study proposes an Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation, integrating distributed sensor nodes, edge computing, multi-agent collaboration, adaptive data fusion, and intelligent decision-making to achieve reliable real-time monitoring of environmental parameters. Each sensor agent autonomously performs local sensing, anomaly detection, energy-aware communication, and cooperative information exchange …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article →
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Fault-Tolerant Modular Power Converter for Large-Scale Renewable Energy IntegrationBy Bibhu Prasad Ganthia, Subash Ranjan Kabat
Abstract: The rapid expansion of large-scale renewable energy systems has significantly increased the demand for highly reliable and fault-resilient power electronic converters capable of maintaining stable grid operation under component failures and fluctuating renewable power generation. This paper proposes a Fault-Tolerant Modular Power Converter (FTMPC) for large-scale renewable energy integration, incorporating a modular multilevel architecture, intelligent fault diagnosis, and adaptive reconfiguration control to ensure uninterrupted power conversion. The proposed converter continuously …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article →
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Phase-Change Material Integrated Semiconductor Circuits for In-Memory Analog Computing ApplicationsBy Bibhu Prasad Ganthia, Rosalin Pradhan
Abstract: The continuous demand for high-speed, energy-efficient computing has intensified the exploration of in- memory analog computing (IMAC) architectures, which aim to minimize the latency and power overhead associated with conventional von Neumann architectures. This research investigates the integration of phase- change materials (PCMs) with semiconductor circuits to realize programmable, non-volatile in-memory analog computing platforms. PCMs exhibit reversible resistance switching between amorphous and crystalline states, enabling precise analog weight storage directly …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article →
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Hybrid Digital–Analog Signal Processing Framework forEnhanced Data Transmission in Next-Generation Wireless Communication SystemsBy Bibhu Prasad Ganthia, Rosalin Pradhan
Abstract: The rapid advancement of next-generation wireless technologies such as 5G and 6G has created an increasing demand for high data rates, low latency, and energy-efficient communication systems. Conventional digital signal processing techniques, while flexible and accurate, often suffer from high computational complexity and power consumption, whereas analog signal processing provides low-latency and energy-efficient solutions but lacks adaptability and robustness. This paper proposes a novel hybrid digital–analog signal processing framework that …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 50–59 Read article →
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AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge DevicesBy Bibhu Prasad Ganthia, rosalin pradhan
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article →
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Microgrid Sources and Power Electronic Interfaces: A ComprehensiveReview on Source Characteristics, Converter Design, Protection, Power Quality, and Energy Storage IntegrationBy Bibhu Prasad Ganthia, Praveen B M
Abstract: Microgrids have become a prospective technology in improving energy reliability, sustainability, and resilience through a combination of a variety of distributed energy sources, sophisticated power electronic interface, and energy storage systems. In this paper, there is an in-depth discussion of the source of microgrids, its fundamental features, and how it works and the criteria that may be used in selecting the source of microgrids depending on the factors involved and …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 11, Issue 2, 2025 · pp. 30–61 Read article →
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Hybrid Signal Processing Framework for Seamless Integration of Analog and Digital Communication Systems in 6G NetworksBy Bibhu Prasad Ganthia, Praveen B M
Abstract: The next 6G phase of evolution of the communication system is expected to deliver data speedexceeding terabits per second, very low latency, and connectivity everywhere among heterogeneous devices. These performance goals can only be met through signal processing architecture paradigm shift. The paper will describe a Hybrid Signal Processing Framework (HSPF) which combines the analog and digital communication methods to leverage the complementary benefits of the two spheres. The framework …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 28–42 Read article →
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Hybrid Signal Processing Framework for Seamless Integration of Analog and Digital Communication Systems in 6G NetworksBy Bibhu Prasad Ganthia, Praveen B M
Abstract: The next 6G phase of evolution of the communication system is expected to deliver data speed exceeding terabits per second, very low latency, and connectivity everywhere among heterogeneous devices. These performance goals can only be met through signal processing architecture paradigm shift. The paper will describe a Hybrid Signal Processing Framework (HSPF) which combines the analog and digital communication methods to leverage the complementary benefits of the two spheres. The …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 Read article →
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Optimized Fault Current Prediction for DFIG-Based Wind Turbines Using Type-I Fuzzy Logic ControllerBy Bibhu Prasad Ganthia, Praveen B .M.
Abstract: The increasing integration of Doubly-Fed Induction Generator (DFIG)-based wind turbines into modern power grids requires robust fault detection and prediction mechanisms to ensure stable and reliable operation. However, accurately predicting fault currents in such systems is challenging due to the nonlinear dynamics involved. This study presents an optimized fault current prediction framework using a Type-I Fuzzy Logic Controller (FLC) to address these challenges. The proposed approach effectively models the uncertainties …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article →
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Stability Analysis of Type-III Wind Turbine Systems Using Radial Basis Function Networks (RBFNs)By Bibhu Prasad Ganthia, Praveen B. M.
Abstract: To accomplish power smoothing, contemporary controllers like adaptive and predictive controllers are used on both the machine and grid sides. Effective machine-side torque control requires robust technologies. Under order to maintain stable performance under nonlinear circumstances, this work employs the sliding mode control technique to control the pitch angle during disturbances. Even in situations where wind conditions fluctuate, the sliding mode control approach optimizes wind power generation by effectively resolving …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 2, 2024 · pp. 25–42 Read article →