Karanpal Singh | Energy | Young Scientist Award

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Dr. Karanpal Singh | Energy | Young Scientist Award

Indian Institute of Technology | India

Dr. Karanpal Singh is a dedicated researcher in the field of sustainable energy engineering, currently pursuing advanced research as a Post-Doctoral Fellow at the Indian Institute of Technology, Kanpur. His research journey began with a strong passion for nanomaterials and energy storage technologies, which has steadily evolved toward the design and development of solid-state electrolytes for lithium-ion and sodium-ion batteries. His work focuses on polymer composite electrolytes and interfacial engineering, with the aim of improving ionic conductivity, thermal stability, and electrochemical performance for next-generation energy storage systems. Over the course of his career, Dr. Singh has held significant academic and research positions, including Senior Project Scientist at IIT Kanpur and Adjunct Research Faculty at Chitkara University, where he contributed to impactful research on batteries and solar energy technologies. Earlier, he served as Assistant Professor at Quest Group of Colleges and Continental Group of Colleges under PTU, where he nurtured his expertise in electronics and communication engineering. He earned his Doctor of Philosophy in Electronics Engineering from Sri Guru Granth Sahib World University, where his research focused on nanoparticle synthesis, thin film fabrication, and doping of transition metals for photovoltaic applications. His integrated Master’s studies at the same institution laid the foundation for his work in green synthesis of zinc oxide nanoparticles and their photocatalytic applications. Dr. Singh has contributed extensively to the scientific community with multiple high-impact publications on MXenes, metal-organic frameworks, nanostructures, and photocatalysis, alongside filed patents in the field of solid-state electrolytes for sodium-ion batteries. His professional skills span advanced laboratory synthesis techniques, electrochemical impedance spectroscopy, and diverse characterization tools including FESEM, XRD, and UV-Vis spectroscopy. Multilingual in English, Punjabi, and Hindi, Dr. Singh continues to drive innovation at the intersection of materials science, energy storage, and environmental sustainability.

Profile: Google Scholar

Featured Publications

Ajmal, Z., Qadeer, A., Singh, K., Al Mahmud, A., Lakhan, M. N., Pradeep, H., … Shuhang, W. (2025). A comprehensive review on MXenes for various applications. Applied Energy, 397, 126136.

Wang, K., Hussain, I., Singh, K., … Zhang, K. (2025). Fabrication of MXene films through various techniques: A mini review. Nanoscale.

Kewate, O., Singh, K., … Hussain, I. (2025). MXene/transition metal sulfide composites in energy storage applications: A review. Materials Today Chemistry, 102816.

Ajmal, Z., Tu, X., Mendhe, A. C., Umer, S., Jangra, S., Pradeep, H., Singh, K., … Zhang, K. (2025). Recent trend in MOF-derived hollow nanostructures for energy conversion and storage applications: Prospects and environmental consequences. Coordination Chemistry Reviews, 541, 216789.

Hussain, I., Singh, K., Mendhe, A. C., Thalji, M. R., Mandal, S., Ali, I., … Zhang, K. (2025). Integration of non-Ti₃C₂ MXene with carbon-based materials for energy storage devices: Recent advancements and future aspects. Progress in Solid State Chemistry, 100523.

 

Chirine Benzazah | Energy | Women Researcher Award

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Assist. Prof. Dr. Chirine Benzazah | Energy | Women Researcher Award

Professeur de l’Enseignement Supérieur Assistant, Faculté Polydisciplinaire de Safi FPS, Université Cadi Ayyad UCA, Morocco

Dr. Chirine Benzazah is an Assistant Professor at the Polydisciplinary Faculty of Safi (FPS), Cadi Ayyad University (UCA), Morocco. She holds a Ph.D. in Electrical Engineering, specializing in Electrotechnics and Power Electronics. With a passion for renewable energy and sustainable technologies, Dr. Benzazah combines academic excellence with a solid industrial background. She has worked in automation, process control, and electrical systems, gaining valuable hands-on experience in major companies like OCP and Siemens. Her research focuses on improving energy conversion systems and developing innovative wind and hydraulic power technologies.

Profile

Education

Dr. Benzazah’s academic journey includes a Ph.D. in Electrical Engineering (2014-2018) from Sultan Moulay Sliman University, specializing in Electrotechnics and Power Electronics, where she worked on hydraulic power conversion. She obtained her Engineer Degree (2009-2012) in Electrical Systems and Telecommunication from Cadi Ayyad University. Additionally, she holds a Technical Academic Studies Degree (2006-2009) in Mathematics, Physics, Chemistry, and Computer Science.

Experience

Dr. Benzazah has extensive teaching experience, serving as an Assistant Professor at Cadi Ayyad University (UCA) since 2023, and at the Higher School of Technology of Salé from 2019-2023. She has taught various courses, including Particle Mechanics, Analog Electronics, Semiconductors, Automation, and Linear Control at both undergraduate and Master’s levels. Dr. Benzazah also has a background in industry, with internships at OCP, Siemens, and CIMENT companies, focusing on automation, process control, and electrical grid audits.

Research Focus

Dr. Benzazah’s research focuses on optimizing energy conversion systems, particularly in the context of wind and hydraulic power. Her work explores maximum power point tracking (MPPT) strategies and multi-objective optimization for wind turbines and electrical grid connections. She aims to improve the efficiency of renewable energy systems using advanced control techniques like ADRC and genetic algorithms. Her research also investigates the integration of photovoltaic energy and semiconductor technologies into energy systems.

Publications

  • “Enhancing Wind Energy Conversion Efficiency: A Novel MPPT Approach Using P&O with ADRC Controllers versus PI Controllers with Kp and Ki Optimization via Genetic Algorithm and Ant Colony Optimization” 🌀🔋
  • “Maximum power optimization of a direct-drive wind turbine connected to PMSG using multi-objective genetic algorithm” 🌬️⚡