The research contributions of Dr. Ruby Beniwal span renewable energy systems, photovoltaic (PV) technologies, power electronics, circuit design, and smart energy applications. Her works on PV systems emphasize efficiency enhancement, cost optimization, and shading effects. In J Comput Electron (2024), she co-authored a computational study analyzing the impact of partial shading on PV performance, while in Environ Sci Pollut Res (2023) she presented cost analysis of smart photovoltaic systems for Indian smart cities and evaluated efficiencies of DC-DC converters integrated with solar PV modules. Further, she investigated the performance of solar-powered wireless sensor networks and developed modified perturb and observe (P&O) techniques for drift reduction in shaded PV systems (Energies, 2022). Her research also extends to hybrid PV-thermal applications, demonstrated through enhancement of semitransparent PV thermal collectors using ANFIS models and cost optimization approaches (ESPR, 2022; ETRI Journal, 2020). Earlier studies focused on ANN-based reliability and steady-state availability of PV modules (JCE, 2018; JERT, 2020). Parallel to renewable energy, Dr. Beniwal contributed to semiconductor reliability, ultra-deep submicron circuit variability, and ANFIS-based circuit modeling (JICS, 2021; JoHIT, 2022). She also explored emerging technologies like walk-to-charge energy harvesting, FPGA-based secure electronic voting machines, neural network applications in autonomous vehicles, and low-power digital circuit implementations. Collectively, her interdisciplinary research addresses global challenges in clean energy, smart electronics, and sustainable technological innovation.