AMBE HARRISON

About

Ambe Harrison is an adjunct faculty member at Saveetha School of Engineering, India, and a research fellow at the Applied Science Research Center, Jordan. Harrison is an active researcher who works on photovoltaic performance modelling, control engineering & applications in nonlinear systems such as Maglevs of high-speed trains and interacting tank systems. He is globally recognized as the developer of PILoN, a physics performance model for solar systems. Harrison frequently publishes on solar photovoltaic system optimization, solar irradiance sensing, nonlinear control in renewable energies and applications of metaheuristic optimization. He currently scores an H-index of more than 18 for over 90 peer-reviewed scientific publications. As an Elsevier-certified reviewer, he serves as a permanent reviewer for over 50 Web of Science journals. He is an IEEE member and a member of the Asian Council of Science Editors (ACSE) as well as the African Networks for Solar Energy (ANSOLE).

Employment

• Applied Science Private University Research Fellow
  2025 - Present
• Saveetha Institute of Medical and Technical Sciences Adjunct Faculty
  2024 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (100)

• Innovative hybrid GA-optimized ANN-based MPPT and hybrid super-twisting second-order sliding mode control for enhanced energy extraction and voltage stability in an isolated DC microgrid
  Computers and Electrical Engineering 2026 2 citations DOI: 10.1016/j.compeleceng.2025.110796
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• EABIF for exploration-aware metaheuristic benchmarking and behavior-triggered control (CEC-2025)
  Applied Soft Computing 2026 2 citations DOI: 10.1016/j.asoc.2026.115344
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• Sensorless Robust Observer-Based Immersion and Invariance Control With Input-to-State Practical Robustness for Disturbed Nonlinear Two-Tank Interacting Systems
  IEEE Access 2026 0 citations DOI: 10.1109/ACCESS.2026.3665636
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• Environmental Sensor-Less Hybrid Analytical-Machine Learning (ESHAML) framework for ultra-fast solar irradiance estimation in climate-sensitive real-time applications: experimental validation
  Measurement 2026 9 citations DOI: 10.1016/j.measurement.2025.118635
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• Digital‐Twin‐Enabled, Time‐Aware Anomaly Detection for Industrial Cyber‐Physical Systems
  Digital Twins and Applications 2026 2 citations DOI: 10.1049/dgt2.70016
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• Validated design of a low-cost passive inerter system for multi-hazard structural resilience in tropical infrastructure
  Innovative Infrastructure Solutions 2026 0 citations DOI: 10.1007/s41062-025-02427-7
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• Sensor-Driven PCA–DEA framework for efficiency optimization in manual material handling: application to industrial purification systems with ergonomic redesign validation
  Production Engineering 2026 2 citations DOI: 10.1007/s11740-025-01400-8
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• Probabilistic deep learning control of hybrid FACTS for real-time voltage stability in renewable-rich power grids
  International Journal of Dynamics and Control 2026 2 citations DOI: 10.1007/s40435-025-01962-6
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• A neuro-climatic sensorless observer-based nonlinear controller for stabilization and robust MPPT in photovoltaic energy conversion systems based on immersion & invariance
  Ain Shams Engineering Journal 2026 2 citations DOI: 10.1016/j.asej.2025.103967
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• Enhanced data categorization using sigmoid-optimized support vector machines
  Cluster Computing 2026 0 citations DOI: 10.1007/s10586-026-06386-1
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