Revolutionizing Solar Energy Harvesting: Advanced Semiconductor Devices and Technology with Artificial Intelligence and Machine Learning Integration

This book provides insights into emerging semiconductor device technology, challenges, and solutions for harnessing solar power to produce sustainable energy and meet the escalating demand for electricity generation.

Dr. Piyush Kuchhal has extensive experience in education, research, and administration. He holds a Ph.D. in Physics from the IIT Roorkee and an M.S. in Physics with a concentration in Engineering Physics from the same institution. He has overseen operations, curriculum design, and academic quality as Cluster-Head of Electrical and Electronics Engineering at UPES. He has also held the positions of Academic Coordinator, Associate Dean of Applied Sciences, and Department Head of Physics.

Dr. Deepak Kumar is currently a research associate at the Technische Universität Dresden Germany, Chair for Electron Devices and Integrated Circuits. He has continued his research with DFG (Deutsche Forschungsgemeinschaft) funded project ＂Experimental characterization and compact modeling of high-field effects in CNTFET channels＂. He has worked as an IEEE student Branch Counsellor at UPES and faculty coordinator for spoken tutorial-IITB. He is also serving as an active member at Germany Chip Design program. He is working in solar cell technology, semiconductor devices and compact modelling for self-heating in CNTFETs. He has also completed the virtual teacher final project from Coursera in collaboration with University of California Irvine (UCI).

Dr. Rupendra Kumar Pachauri is an expert in renewable energy technology and electrical hybrid power generation systems (Micro-grid advancements). His research is based on hydrogen fuel cell power generation, energy management, advanced strategies for photovoltaic systems (stand-alone: ground-mounted and floating photovoltaic systems) for power enhancement during adverse environmental conditions (dust aerosol, partial shading conditions) and power generation forecasting using Artificial intelligence and Machine learning techniques. Dr. Pachauri is a distinguished academic and an Associate Professor holding an esteemed position within the Department of Electrical and Electronics Engineering at UPES in Dehradun, India.

Dr Vijay Kumar Sharma is a Program Manager and Senior Scientist at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He has a PhD degree in Physics (UGC-CSIR Junior Research Fellowship) from Indian Institute of Technology Roorkee, India. (2005-10), MSc and BSc in Physics with specialization in Electronics from University of Delhi, India.