Optimization of Sustainable Enzymes Production

Artificial Intelligence and Machine Learning Techniques

• Gebundenes Buch

Produktbeschreibung

This book presents a systematic approach to analyze evolutionary and nature-inspired population-based search algorithms. The book presents current research on various applications of machine learning and discusses optimization techniques to solve real-life problems.

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Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 220
• Erscheinungstermin: 29. November 2022
• Englisch
• Abmessung: 137mm x 241mm x 22mm
• Gewicht: 472g
• ISBN-13: 9781032273372
• ISBN-10: 1032273372
• Artikelnr.: 64682675

Autorenporträt

Dr. J. Satya Eswari has been an assistant professor for more than 8 years at the Biotechnology Department of the National Institute of Technology (NIT), Raipur, India. She did her M.Tech in Biotechnology at the Indian Institute of Technology (IIT) Kharagpur and a Ph.D. at the IIT, Hyderabad, India. During her research career, she worked as a Scientist (Woman Scientist ¿ Department of Science and Technology (DST)) in the Indian Institute of Chemical Technology (IICT), Hyderabad. She has published more than 60 SCI/Scopus research papers, 6 books, a few book chapters, and 40 international conference proceedings. Her research contributions have received wide global citations. She completed one DST woman scientist project (22 lakhs) and is currently handling one DST-Early career research project (43 lakhs) and one CCOST (4 lakhs). She has more than 7 years of teaching experience and 3 years of research experience. Dr. Eswari has been a guest editor for the Indian Journal of Biochemistry and Biophysics (SCI) and the Journal of Chemical Technology and Biotechnology. She has rigorously pursued her research in the areas of Environmental bioremediation, wastewater treatment, bioprocess, and product development and bioinformatics. She gained pioneering expertise in the application of mathematical and engineering tools to Biotechnological processes. She has received the IEI Young Engineer award, the Outstanding Woman by Venus International award, and the DK Best Faculty award. Dr. Eswari has already guided three Ph.D. students and is currently guiding three other Ph.D. students. Dr. Nisha Suryawanshi is currently working as a guest faculty in the Department of Zoology at Government Arts and Commerce College, Sagar, Madhya Pradesh, India. She completed her Bachelor of Science (B.Sc.) in Biotechnology (Honours) from Guru Ghasidas Central University Bilaspur (Chhattisgarh, India), her Masters of Science (M.Sc.) in Biotechnology from Dr. Hari Singh Gour Central University, Sagar (Madhya Pradesh). She received a Doctor of Philosophy from the Department of Biotechnology, National Institute of Technology, Raipur (Chhattisgarh, India). She has ten publications in her research area in peer-reviewed SCI journals. During her Ph.D., she worked in the area of bioprocess and product development. She also has qualified national-level examinations CSIR-NET-JRF (Life science), GATE (Biotechnology), ICAR-NET (Agriculture Biotechnology), and the state-level examination MPSET.

Inhaltsangabe

1. Industrially Important Enzymes. 2. Applications of Industrially
important enzymes. 3. Optimization of Fermentation Process: Influence on
Industrial Production of Enzymes. 4. Reforming process optimization of
enzyme production using artificial intelligence and machine learning. 5.
Scale-up models for chitinase production, enzyme kinetics, and
optimization. 6. Genetic Algorithm for optimization of fermentation process
of various enzyme production. 7. Optimization of process parameter of
various classes of enzymes using artificial neural network. 8. Advanced
Evolutionary Differential Evolution and Central Composite Design:
Comparative Study for process optimization of chitinase production. 9.
Artificial bee colony for optimization of process parameters for various
enzyme productions.