Next Generation Food Safety

Dr. C. Kishor Kumar Reddy is a seasoned academician and researcher with over 12 years of experience in computer science and engineering. He holds a Ph.D. in Computer Science and Engineering and a Postdoctoral Fellowship from the University Kebangsaan Malaysia, Malaysia. Dr. Reddy has made significant contributions in areas such as Artificial Intelligence, Machine Learning, Deep Learning, Federated Learning, Cybersecurity, Healthcare 6.0, and Disaster Management. He has authored and co-authored 170+ research articles in reputed SCI/Scopus-indexed journals, presented at international conferences. He also holds several published patents and serves as an editor for multiple scholarly books on emerging technologies. Dr. Reddy is an active member of professional bodies such as the Indian Society for Technical Education, the Computer Society of India, and the International Association of Engineers, among others.Hemant Kumar Saini is an academic at the School of Computer Science & Engineering, Bennett University (The Times Group), Greater Noida, India, and at Lincoln University, Malaysia. His research interests include digital transformation technologies such as artificial intelligence (AI), quantum computing, the Internet of Things (IoT), blockchain, aerial vehicles, ad-hoc networks, digital twins, and edge and serverless computing, including cloud-native computing. Dr. Inam Ullah Khan is a Postdoctoral Research Fellow at Multimedia University, Malaysia, specializing in Artificial Intelligence, UAV networks, Machine Learning, and Intrusion Detection Systems. He is the founder of AI-Explain Your Science (AI-EYS) and a Senior Member of IEEE. Dr. Khan holds a Ph.D. and M.S. in Electronics Engineering, along with a Bachelor's degree in Computer Science.With over 100 publications and approximately 25 edited books, he has made significant contributions to his fields. He actively participates in technical committees for international conferences and has delivered lectures worldwide. Additionally, Dr. Khan serves as a mentor at Impact Xcelerator in Spain.His research focuses on integrating AI with cybersecurity and wireless communication, advancing knowledge at the intersection of these critical areas.Prof. (Dr.) S. P. Muthukumar is basically a veterinarian, BVSc from Tamil Nadu, MVSc from Kerala and PhD from Indian Veterinary Research Institute (IVRI), Izatnagar, Bareilly UP. His specialization is Biochemistry, Nutrition, Genetics and Breeding. He has more than 90 research papers in peer reviewed SCI-indexed journals, 60 invited lectures and presented more than 100 papers in national and international conferences.

• Part I – Foundations and Emerging Paradigms1. Introduction to Artificial Intelligence for Food Safety and Quality Assurance2. Machine Learning and Deep Learning based Mycotoxin Detection3. Computer Vision and Image-Based Mycotoxin Detection4. Data Quality, Sampling Techniques, and Big Data / IoT in Food Quality Monitoring5. AI Model Validation, Protocols, TRLs, and Interpretability Frameworks6. Limitations/ Challenges of detection and quantification, instrumental methods, and the number of sampling.Part II – AI Across Ready-to-Eat Food Categories7. Cereal and Grain-Based Foods (Bread, Snacks, Infant Food) Contamination8. Spectroscopic Detection in Dairy and Milk-Based Ready Foods9. AI-driven biosensor in Meat and Poultry Convenience Foods10. Deep learning based quality checking in Plant-Based Ready Meals and Alternatives11. AI-spectroscopy in Snack Foods and Bakery Products12. Identifying AI patterns in Fermented Foods and Quality AssurancePart III – Risk, Regulation, and Supply Chains13. Supply Chain Risk Assessment for Ready-to-Eat Foods14. Mapping AI-driven detection to Regulatory Compliance and Standards15. Economic Feasibility and Operational Deployment of AI Safety Systems16. Cybersecurity and Data Integrity in AI-Driven Food Systems17. Ethics, Transparency, and Responsible AI in Food SafetyPart IV – Case Studies and Future Directions18. Case Studies: Global Perspectives on AI in Mycotoxin Detection19. Eco-Friendly Smart Packaging and Embedded AI Sensing Technologies20. Future Trends and Research Directions, next decade Ready-to-use Eatables