Emerging Technologies for Water Supply, Conservation and Management (eBook)
XIV, 384 Seiten
Springer International Publishing (Verlag)
978-3-031-35279-9 (ISBN)
Dr. Etikala Balaji obtained a 5-year integrated M.Sc. in Earth Sciences from the Department of Earth Sciences, Yogi Vemana University, Kadapa, Andhra Pradesh, India. He received his doctorate in Geology from the Department of Geology, Sri Venkateswara University, Tirupati, Andhra Pradesh, India. The area of his doctoral research was remote sensing, hydrogeochemistry and geochemical modeling. His current research focuses on trace metal pollution and associated health risks and artificial intelligence and machine learning algorithms for water resource management. Earlier, he worked as an academic consultant in the Department of Earth Sciences, Yogi Vemana University, Kadapa, A.P. He qualified Joint CSIR-JRF in 2014 and AP-SET in 2013 for an assistant professor/lectureship in earth, atmospheric, ocean and planetary sciences. He worked as a CSIR junior research fellow for two years and CSIR senior research fellow for another two years. He is a reviewer for various reputed journals and reviewed more than 90 articles. He has published 24 research articles, five book chapters and one book.
Dr. Golla Veeraswamy obtained his master's and doctoral degree in Geology from the Department of Geology, Sri Venkateswara University, Tirupati, Andhra Pradesh, India. The area of his doctoral research focused on remote sensing, hydrogeochemistry and geochemical modeling. His current research focuses on heavy metal analysis in water and soils and their associated health risks to humans. Earlier, he worked as an associate professor at the Annamacharya Institute of Technology and Sciences. He qualified AP-SET in 2016 for an assistant professor/lectureship in earth, atmospheric, ocean and planetary sciences. He is a reviewer for various reputed journals. He has published 32 research articles, five book chapters and one book.
Dr. Mannala Prasad is presently working as an assistant professor in the Department of Geology, Central Tribal University of Andhra Pradesh, Vizianagaram, Andhra Pradesh, India. Before joining CTUAP, he worked as an academic consultant in the Department of Earth Sciences, Yogi Vemana University, Kadapa, A.P. He is the recipient of INSPIRE JRF and SRF by the Dept. of Science and Technology (DST), New Delhi. He secured first rank with distinction (CGPA 8.29) in M.Sc. in Geology and Geo-informatics and received a doctoral degree in Earth Sciences from Yogi Vemana University Kadapa, Andhra Pradesh. He qualified Joint CSIR-UGC JRF cum NET in 2012 and AP-SET in 2021 for an assistant professor/ lectureship in earth, atmospheric, ocean and planetary sciences. He has published 20 research articles, five book chapters and one book. He is a reviewer for international and nationally reputed journals.
Dr. Sughosh Madhav is presently working as Dr. D.S. Kothari postdoctoral fellow at the Department of Civil Engineering, Jamia Millia Islamia, New Delhi, India. Earlier, he worked as a CSIR research associate. He obtained his master's degree from the Department of Environmental Sciences, Banaras Hindu University, Varanasi, India. He earned his doctorate from Jawaharlal Nehru University, New Delhi. The area of his doctoral research was the impact of textile effluents on soil and water quality and associated health hazards. He qualified UGC JRF in 2011 and ICAR NET in 2016. He has published more than fifteen research papers and five book chapters in environmental geochemistry, water pollution, soil contamination, wastewater treatment, and climate change. He is a reviewer for international and nationally reputed journals. He also edited five books in various reputed publications.
Erscheint lt. Verlag | 25.7.2023 |
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Reihe/Serie | Springer Water | Springer Water |
Zusatzinfo | XIV, 384 p. 99 illus., 85 illus. in color. |
Sprache | englisch |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Naturwissenschaften ► Geowissenschaften ► Geologie | |
Schlagworte | Emerging technologies in water supply and management • machine learning algorithms • Remote Sensing and Geographic Information System • Water Quality Monitoring • Water resource management |
ISBN-10 | 3-031-35279-3 / 3031352793 |
ISBN-13 | 978-3-031-35279-9 / 9783031352799 |
Haben Sie eine Frage zum Produkt? |
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