Soumya Ghosh

Soumya GhoshDr. Soumya Ghosh is presently a postdoctoral researcher at the Department of Genetics, University of the Free State, South Africa since September, 2019. Following his completion of his PhD from Stellenbosch University, South Africa (2011-2015) he purued his first postdoctoral studies at the Department of Biology, Thompson Rivers, University, BC, Canada (2016 -2017). After returning from Canada he joined as a visiting faculty of Microbiology at Kuchaman College, Rajasthan, India. Prior to his PhD, Dr Ghosh worked as Research Fellow position at the Department of Chronobiology, Biological Center, University of Gröningen, The Netherlands (2005). From 2005 to 2008, he worked as a Research Fellow at Department of Developmental Biology, Centre of Plant Molecular Biology (ZMBP), Tübingen University, Germany where he secured his Biologie-Diplomarbeit (2005-2006). Thereafter, he continued with same position at the Department of Systems Biology, Technical University Munich, Germany from 2008 to 2010. Dr Ghosh completed his Bachelor's degree in Microbiology from Garware College, Pune, India in 1999 and subsequently his Master's degree in Zoology at Pune University in 2001. Dr Ghosh is working on diverse fields ranging from plant biology to microbial diversity that will potentially lead to discovery of novel drug molecules. He has published 72 articles in peer reviewed journals such as Plant Cell, Biochemical Pharmacology, Diversity, Antibiotics, Microorganisms, Journal of Fungi, Current Microbiology, 3 Biotech, Frontiers in Microbiology, Scientific Reports, Applied Surface Science, Colloids and Surface A, Polyhedron, Journal of Molecular liquids, Reviews in Medical Virology, Environmental Science and Pollution Research, 5 book chapters and currently editing and co-editing, books in Springer and Elsevier, respectively. Dr. Ghosh has secured currently an H-index and i10-index of 15 and 24, respectively with 1290 citations on google scholar. Read More Read Less

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Mobile Edge Computing37 %
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Advances in Distributed Computing and Machine Learning37 %
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Mobile Edge Computing37 %
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Enhanced Bayesian Network Models for Spatial Time Series Prediction37 %
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Semantic Kriging for Spatio-Temporal Prediction37 %
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Enhanced Bayesian Network Models for Spatial Time Series Prediction37 %
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Semantic Kriging for Spatio-Temporal Prediction37 %
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Optical Character Recognition Systems for Different Languages with Soft Computing37 %
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Decision Making Algorithms for Hydro-Power Plant Location37 %
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Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory37 %
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Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory37 %
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Bankruptcy Prediction Through Soft Computing Based Deep Learning Technique37 %
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Optical Character Recognition Systems for Different Languages with Soft Computing37 %
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Language and Cross-Cultural Communication in Travel and Tourism3 % NR
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29 Nov 2024
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Statistical and Machine Learning Models for Remote Sensing Data Mining25 % NR
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Avaliação Do Índice de Condição Corporal Em Caprinos6 % NR
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Valutazione del Punteggio Della Condizione Corporea Nella Capra6 % NR
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Bewertung Der Körperkondition Bei Ziegen6 % NR
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Évaluation de la Note d'État Corporel Chez La Chèvre6 % NR
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