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Elsevier

Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess

  • 1st Edition - November 1, 2026
  • Latest edition
  • Editors: Mukesh Kumar Awasthi, Mohammad Taherzadeh, Karthik Rajendran
  • Language: English

Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess delves into the transformative role of AI and ML in enhancing the ef… Read more

Description

Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess delves into the transformative role of AI and ML in enhancing the efficiency and effectiveness of bioprocess operations. The book covers everything from predictive modeling and bioreactor design to the integration of IoT in Bioprocess 4.0, and synthesizes the latest scientific advancements and practical applications in the field of thermochemical and biochemical bioprocesses. The book explores a wide array of topics, including deep learning applications in gasification, the role of artificial neural networks in process control, and the use of genetic algorithms in thermochemical processing. Each chapter offers invaluable insights into current methodologies and future perspectives. Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess provides a solid foundation for applying AI and ML techniques to tackle pressing challenges in clean fuel production, waste management, and climate change mitigation.

Key features

  • Explores cutting-edge applications of AI and ML tools in enhancing clean fuel technologies and energy security, providing readers with innovative strategies to tackle global energy challenges
  • Analyzes the integration of AI and ML in waste management and valorization processes, highlighting methods to reduce greenhouse gas emissions and promote a circular economy for sustainable development
  • Evaluates the role of AI and ML in advancing thermochemical biomass conversion technologies, equipping researchers with insights into chemical kinetics, process intensification, and economic viability for biofuel production
  • Discusses the implications of AI and ML on regulatory frameworks and policies, offering a comprehensive guide for academics, industry leaders, and policymakers to drive forward research in alternative fuels and bioenergy utilization
  • Presents case studies and real-world applications, illustrating the transformative potential of AI and ML in addressing climate change mitigation and fostering a sustainable future

Readership

Professionals, researchers, and graduate students in biochemical and environmental engineering

Table of contents

1. Introduction and historical perspectives to AI and ML in bioprocess and thermochemical process engineering

2. Pretreatment and characterization using machine learning approaches

3. Applications of deep learning in gasification and pyrolysis

4. Predictive modelling of biochemical reactions for biofuels, bioproducts and biomaterials.

5. Bioreactor design and operation using AI

6. Role of artificial neural networks in process control and monitoring in bioprocessing

7. Natural language processing for bioprocess data analysis and visualization

8. Usage of genetic algorithms towards thermochemical reactions and processing

9. Support of AI towards experimental design for bio- and thermos-chemical process development

10. Machine learning approaches for predictive maintenance in bioprocessing equipment

11. Fusing AI and mechanistic modeling for better bioprocessing

12. Use of AI for a better decision making of bioprocessing and thermochemical processing

13. Machine learning in fermentative biohydrogen production

14. ML approaches towards the reduction of technology development in bio- and thermos-chemical processes

15. Integrating AI, ML, and IoT in Bioprocess 4.0

16. Future perspectives, challenges and restrictions related to the current application of AI and ML in the process industry

Product details

  • Edition: 1
  • Latest edition
  • Published: November 1, 2026
  • Language: English

About the editors

MA

Mukesh Kumar Awasthi

Dr. Mukesh Kumar Awasthi has done his Ph.D. on the topic “Viscous Correction for the Potential Flow Analysis of Capillary and Kelvin-Helmholtz instability”. He is working as an Assistant Professor in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University, Lucknow. Dr. Awasthi is specialized in the mathematical modeling of flow problems. He has taught courses of Fluid Mechanics, Discrete Mathematics, Partial differential equations, Abstract Algebra, Mathematical Methods, and Measure theory to postgraduate students. He has acquired excellent knowledge in the mathematical modeling of flow problems and he can solve these problems analytically as well as numerically. He has a good grasp of the subjects like viscous potential flow, electro-hydrodynamics, magneto-hydrodynamics, heat, and mass transfer. He has excellent communication skills and leadership qualities. He is self-motivated and responds to suggestions in a more convincing manner. Dr. Awasthi has qualified National Eligibility Test (NET) conducted on all India level in the year 2008 by the Council of Scientific and Industrial Research (CSIR) and got Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF) for doing research. He has published 125 plus research publications (journal articles/books/book chapters/conference articles) in Elsevier, Taylor & Francis, Springer, Emerald, World Scientific, and many other national and international journals and conferences. Also, he has published 14 books. He has attended many symposia, workshops, and conferences in mathematics as well as fluid mechanics. He has got the “Research Awards” consecutively four times from 2013-2016 by the University of Petroleum and Energy Studies, Dehradun, India. He has also received the start-up research fund for his project “Nonlinear study of the interface in multilayer fluid system” from UGC, New Delhi. He is also listed in the top 2% influential researchers in the World prepared by Stanford University based on Scopus data in the years 2022 and 2023. His Orcid is 0000-0002-6706-5226, Google Scholar web link is https://scholar.google.co.in/citations?user=Dj3ktGAAAAAJ and research gate web link ishttps://www.researchgate.net/profile/Mukesh-Awasthi-2.

Affiliations and expertise
Department of Mathematics, Babasaheb Bhimrao Ambedkar University, Lucknow, India

MT

Mohammad Taherzadeh

Mohammad J. Taherzadeh is professor in Biotechnology since 2004 at University of Borås in Sweden. He is also director of Resource Recovery, a research profile with about 50 researchers to convert wastes to energy and value-added products. Prof. Taherzadeh has PhD in Bioscience and MSc and Bsc in Chemical Engineering. He is working on converting wastes and residuals to ethanol, biogas, fish feed and superabsorbents, in which fermentation development using bacteria, yeast and filamentous fungi has a heavy weight. Prof. Taherzadeh has more than 120 publications in scientific peer-reviewed journals, 10 book chapters and two patents about filamentous fungi. Mohammad is the panel chairman of “biotechnology, chemical technology and environmental technology” of Swedish Research Council, and also in the editorial board of Bioresource Technology and BioResources.
Affiliations and expertise
Professor, Swedish Centre for Resource Recovery, University of Boras, Boras, Sweden

KR

Karthik Rajendran

Dr. Karthik Rajendran is a distinguished academic and researcher, currently serving as the Associate Dean at SRM University-AP, where he oversees the Office of the Dean Quality Assurance and Rankings. His work primarily focuses on the development of advanced biofuels, the integration of Energy and AI, and conducting thorough techno-economic analyses and lifecycle assessments.
Affiliations and expertise
Assistant Professor, Department of Environmental Science, SRM University, Andhra Pradesh, India