Dr. Amit K. Jaiswal is an esteemed academic and researcher currently serving as a Lecturer at the School of Food Science and Environmental Health, Technological University Dublin (TU Dublin)—City Campus, Ireland. Recognised globally for his scholarly contributions, Dr Jaiswal has been recognised among the top 1% of the world’s most cited academics in 2023 and 2024 by Clarivate Analytics, a distinction given to researchers who have demonstrated exceptional influence in their fields over the past decade. In addition, Stanford University has listed him among the top 2% of scientists worldwide for four consecutive years (2021–24). Dr Jaiswal’s research focuses on converting lignocellulosic biomass and algae (micro- and macroalgae) into biofuels, biomaterials, and biochemicals through innovative process development, techno-economic analysis, and life cycle assessment. He brings extensive expertise in bio-based materials, such as lignin and microcellulose/nanocellulose, and their applications in sustainable food packaging, water purification, and adhesives. His proficiency in green extraction techniques, including deep eutectic solvents (DES) and ultrasound-assisted processes, enables the valorisation of agri-food biomass into high-value products. With more than 125 peer-reviewed publications, 50 book chapters, and five edited books, Dr. Jaiswal’s contributions to scientific literature have significantly impacted food science and biotechnology. His work has received over 10,000 citations, with an h-index exceeding 50. He also serves on the editorial boards of key international journals, including Food Quality and Safety (Oxford University Press), Foods, Biomass (MDPI) and JSFA Reports (Wiley).Dr. Abhishek Kaushik works as an Assistant Lecturer at Dundalk Institute of Technology (DkIT). He was also a Postdoctoral Researcher in Ceadar UCD in 2022. Dr. Kaushik obtained his Ph.D. in Artificial Intelligence (AI) and Information Retrieval (IR) from Adapt Centre, Dublin City University (DCU) in 2021. Dr. Kaushik completed his master’s degree in Information Technology from Fachhochschule Kiel, Germany in 2016. During his time in Germany, he was actively involved in developing AI algorithms for a multinational company Siemens. Dr. Kaushik holds bachelor’s degree in Computer Science Engineering from Kurukshetra University (2012), India. He is a subject matter expert on Human Computer Interaction, Machine Learning, AI, Natural Language Processing, Block chain and Smart farming. He has published more than 40 papers (journal and conference) in the areas of Conversational Search, Human Computer Interaction, Sentiment Analysis and Smart Technologies.Dr. Swarna Jaiswal is a lecturer in applied microbiology and food packaging technology at Technological University Dublin (TU Dublin), City Campus, Ireland. She earned her PhD in 2012 from TU Dublin and an executive MBA in 2015, equipping her with a strong blend of scientific expertise and strategic leadership. Following her PhD, she worked as a research scientist at the Centre for Research in Engineering Surface Technology (CREST), TU Dublin, for five years, where she played a pivotal role in advancing applied research for industrial applications. She is the Director of the Centre for Sustainable Packaging & Bioproducts (CSPB) at TU Dublin, leading innovative research in biodegradable packaging solutions, antimicrobial coatings, and nanocomposite biomaterials. Dr. Swarna’s research is deeply rooted in industry collaboration, working closely with SMEs and multinational corporations across Ireland and the UK to develop cutting-edge sustainable packaging technologies. Her expertise extends to applied microbiological coatings and active packaging films, driving impactful advancements in food safety, shelf-life extension, and eco-friendly material alternatives. She has authored over 100 publications, including peer-reviewed journal articles and book chapters, with an h-index of 34 and over 5,500 citations. She serves on the editorial board of leading international journals, including Coatings (MDPI), and has presented her work at numerous prestigious national and international conferences. With a strong record of academic excellence, industry engagement, and leadership in sustainable materials research, Dr. Swarna is driving impactful innovations at the intersection of science and sustainability, shaping the future of environmentally responsible packaging solutions.

• Section 1: Introduction1. Introduction to Artificial Intelligence and Machine Learning in Food IndustrySection 2: Data Collection and Predictive Analysis2. Data Collection and Management for ML in Food Industry3. Predictive Maintenance for Food Processing Equipment4. Yield Optimization in Food Production with Machine Learning5. Predictive Analytics for Consumer BehaviourSection 3: Food Safety and Quality Control6. Improving Quality Control with Machine Learning7. Machine Learning for Food Safety8. Machine Learning for Food Fraud Detection9. Predictive Microbiology using Machine LearningSection 4: Food Texture, Flavour and Shelf-life Prediction10. Texture Analysis with Machine Learning11. Flavour Prediction using Machine Learning12. Shelf-Life Prediction with Machine LearningSection 5: Supply Chain Optimization and Traceability13. Optimizing the Food Supply Chain with Machine Learning14. IoT for Real-Time Food Safety Monitoring15. Ensuring Product Authenticity using Machine Learning and AI16. Big Data and AI for Food TraceabilitySection 6: Personalized Nutrition and Sustainability17. Personalized Nutrition with Machine Learning18. Sustainable Agriculture through Machine Learning19. Machine Learning for Allergen Detection in Food20. Machine Learning for Food Preservation21. Recipe Generation with Machine Learning

Dr. Amit K. Jaiswal is an esteemed academic and researcher currently serving as a Lecturer at the School of Food Science and Environmental Health, Technological University Dublin (TU Dublin)—City Campus, Ireland. Recognised globally for his scholarly contributions, Dr Jaiswal has been recognised among the top 1% of the world’s most cited academics in 2023 and 2024 by Clarivate Analytics, a distinction given to researchers who have demonstrated exceptional influence in their fields over the past decade. In addition, Stanford University has listed him among the top 2% of scientists worldwide for four consecutive years (2021–24). Dr Jaiswal’s research focuses on converting lignocellulosic biomass and algae (micro- and macroalgae) into biofuels, biomaterials, and biochemicals through innovative process development, techno-economic analysis, and life cycle assessment. He brings extensive expertise in bio-based materials, such as lignin and microcellulose/nanocellulose, and their applications in sustainable food packaging, water purification, and adhesives. His proficiency in green extraction techniques, including deep eutectic solvents (DES) and ultrasound-assisted processes, enables the valorisation of agri-food biomass into high-value products. With more than 125 peer-reviewed publications, 50 book chapters, and five edited books, Dr. Jaiswal’s contributions to scientific literature have significantly impacted food science and biotechnology. His work has received over 10,000 citations, with an h-index exceeding 50. He also serves on the editorial boards of key international journals, including Food Quality and Safety (Oxford University Press), Foods, Biomass (MDPI) and JSFA Reports (Wiley).Dr. Abhishek Kaushik works as an Assistant Lecturer at Dundalk Institute of Technology (DkIT). He was also a Postdoctoral Researcher in Ceadar UCD in 2022. Dr. Kaushik obtained his Ph.D. in Artificial Intelligence (AI) and Information Retrieval (IR) from Adapt Centre, Dublin City University (DCU) in 2021. Dr. Kaushik completed his master’s degree in Information Technology from Fachhochschule Kiel, Germany in 2016. During his time in Germany, he was actively involved in developing AI algorithms for a multinational company Siemens. Dr. Kaushik holds bachelor’s degree in Computer Science Engineering from Kurukshetra University (2012), India. He is a subject matter expert on Human Computer Interaction, Machine Learning, AI, Natural Language Processing, Block chain and Smart farming. He has published more than 40 papers (journal and conference) in the areas of Conversational Search, Human Computer Interaction, Sentiment Analysis and Smart Technologies.Dr. Swarna Jaiswal is a lecturer in applied microbiology and food packaging technology at Technological University Dublin (TU Dublin), City Campus, Ireland. She earned her PhD in 2012 from TU Dublin and an executive MBA in 2015, equipping her with a strong blend of scientific expertise and strategic leadership. Following her PhD, she worked as a research scientist at the Centre for Research in Engineering Surface Technology (CREST), TU Dublin, for five years, where she played a pivotal role in advancing applied research for industrial applications. She is the Director of the Centre for Sustainable Packaging & Bioproducts (CSPB) at TU Dublin, leading innovative research in biodegradable packaging solutions, antimicrobial coatings, and nanocomposite biomaterials. Dr. Swarna’s research is deeply rooted in industry collaboration, working closely with SMEs and multinational corporations across Ireland and the UK to develop cutting-edge sustainable packaging technologies. Her expertise extends to applied microbiological coatings and active packaging films, driving impactful advancements in food safety, shelf-life extension, and eco-friendly material alternatives. She has authored over 100 publications, including peer-reviewed journal articles and book chapters, with an h-index of 34 and over 5,500 citations. She serves on the editorial board of leading international journals, including Coatings (MDPI), and has presented her work at numerous prestigious national and international conferences. With a strong record of academic excellence, industry engagement, and leadership in sustainable materials research, Dr. Swarna is driving impactful innovations at the intersection of science and sustainability, shaping the future of environmentally responsible packaging solutions.

• Section 1: Introduction1. Introduction to Artificial Intelligence and Machine Learning in Food IndustrySection 2: Data Collection and Predictive Analysis2. Data Collection and Management for ML in Food Industry3. Predictive Maintenance for Food Processing Equipment4. Yield Optimization in Food Production with Machine Learning5. Predictive Analytics for Consumer BehaviourSection 3: Food Safety and Quality Control6. Improving Quality Control with Machine Learning7. Machine Learning for Food Safety8. Machine Learning for Food Fraud Detection9. Predictive Microbiology using Machine LearningSection 4: Food Texture, Flavour and Shelf-life Prediction10. Texture Analysis with Machine Learning11. Flavour Prediction using Machine Learning12. Shelf-Life Prediction with Machine LearningSection 5: Supply Chain Optimization and Traceability13. Optimizing the Food Supply Chain with Machine Learning14. IoT for Real-Time Food Safety Monitoring15. Ensuring Product Authenticity using Machine Learning and AI16. Big Data and AI for Food TraceabilitySection 6: Personalized Nutrition and Sustainability17. Personalized Nutrition with Machine Learning18. Sustainable Agriculture through Machine Learning19. Machine Learning for Allergen Detection in Food20. Machine Learning for Food Preservation21. Recipe Generation with Machine Learning

Dr. Amit K. Jaiswal is an esteemed academic and researcher currently serving as a Lecturer at the School of Food Science and Environmental Health, Technological University Dublin (TU Dublin)—City Campus, Ireland. Recognised globally for his scholarly contributions, Dr Jaiswal has been recognised among the top 1% of the world’s most cited academics in 2023 and 2024 by Clarivate Analytics, a distinction given to researchers who have demonstrated exceptional influence in their fields over the past decade. In addition, Stanford University has listed him among the top 2% of scientists worldwide for four consecutive years (2021–24). Dr Jaiswal’s research focuses on converting lignocellulosic biomass and algae (micro- and macroalgae) into biofuels, biomaterials, and biochemicals through innovative process development, techno-economic analysis, and life cycle assessment. He brings extensive expertise in bio-based materials, such as lignin and microcellulose/nanocellulose, and their applications in sustainable food packaging, water purification, and adhesives. His proficiency in green extraction techniques, including deep eutectic solvents (DES) and ultrasound-assisted processes, enables the valorisation of agri-food biomass into high-value products. With more than 125 peer-reviewed publications, 50 book chapters, and five edited books, Dr. Jaiswal’s contributions to scientific literature have significantly impacted food science and biotechnology. His work has received over 10,000 citations, with an h-index exceeding 50. He also serves on the editorial boards of key international journals, including Food Quality and Safety (Oxford University Press), Foods, Biomass (MDPI) and JSFA Reports (Wiley).Dr. Abhishek Kaushik works as an Assistant Lecturer at Dundalk Institute of Technology (DkIT). He was also a Postdoctoral Researcher in Ceadar UCD in 2022. Dr. Kaushik obtained his Ph.D. in Artificial Intelligence (AI) and Information Retrieval (IR) from Adapt Centre, Dublin City University (DCU) in 2021. Dr. Kaushik completed his master’s degree in Information Technology from Fachhochschule Kiel, Germany in 2016. During his time in Germany, he was actively involved in developing AI algorithms for a multinational company Siemens. Dr. Kaushik holds bachelor’s degree in Computer Science Engineering from Kurukshetra University (2012), India. He is a subject matter expert on Human Computer Interaction, Machine Learning, AI, Natural Language Processing, Block chain and Smart farming. He has published more than 40 papers (journal and conference) in the areas of Conversational Search, Human Computer Interaction, Sentiment Analysis and Smart Technologies.Dr. Swarna Jaiswal is a lecturer in applied microbiology and food packaging technology at Technological University Dublin (TU Dublin), City Campus, Ireland. She earned her PhD in 2012 from TU Dublin and an executive MBA in 2015, equipping her with a strong blend of scientific expertise and strategic leadership. Following her PhD, she worked as a research scientist at the Centre for Research in Engineering Surface Technology (CREST), TU Dublin, for five years, where she played a pivotal role in advancing applied research for industrial applications. She is the Director of the Centre for Sustainable Packaging & Bioproducts (CSPB) at TU Dublin, leading innovative research in biodegradable packaging solutions, antimicrobial coatings, and nanocomposite biomaterials. Dr. Swarna’s research is deeply rooted in industry collaboration, working closely with SMEs and multinational corporations across Ireland and the UK to develop cutting-edge sustainable packaging technologies. Her expertise extends to applied microbiological coatings and active packaging films, driving impactful advancements in food safety, shelf-life extension, and eco-friendly material alternatives. She has authored over 100 publications, including peer-reviewed journal articles and book chapters, with an h-index of 34 and over 5,500 citations. She serves on the editorial board of leading international journals, including Coatings (MDPI), and has presented her work at numerous prestigious national and international conferences. With a strong record of academic excellence, industry engagement, and leadership in sustainable materials research, Dr. Swarna is driving impactful innovations at the intersection of science and sustainability, shaping the future of environmentally responsible packaging solutions.

• Section 1: Introduction1. Introduction to Artificial Intelligence and Machine Learning in Food IndustrySection 2: Data Collection and Predictive Analysis2. Data Collection and Management for ML in Food Industry3. Predictive Maintenance for Food Processing Equipment4. Yield Optimization in Food Production with Machine Learning5. Predictive Analytics for Consumer BehaviourSection 3: Food Safety and Quality Control6. Improving Quality Control with Machine Learning7. Machine Learning for Food Safety8. Machine Learning for Food Fraud Detection9. Predictive Microbiology using Machine LearningSection 4: Food Texture, Flavour and Shelf-life Prediction10. Texture Analysis with Machine Learning11. Flavour Prediction using Machine Learning12. Shelf-Life Prediction with Machine LearningSection 5: Supply Chain Optimization and Traceability13. Optimizing the Food Supply Chain with Machine Learning14. IoT for Real-Time Food Safety Monitoring15. Ensuring Product Authenticity using Machine Learning and AI16. Big Data and AI for Food TraceabilitySection 6: Personalized Nutrition and Sustainability17. Personalized Nutrition with Machine Learning18. Sustainable Agriculture through Machine Learning19. Machine Learning for Allergen Detection in Food20. Machine Learning for Food Preservation21. Recipe Generation with Machine Learning