Practical Applications of Machine Learning and AI: Medicine, Environmental Science, Transportation, and Education

• #1. Recent Trends in Optimizing Hydrogen Supply Networks
• #2. Bio-Inspired Algorithms-Based Machine Learning and Deep Learning Models in Healthcare 6.0
• #3. Current Neuroinnovative Techniques With Machine Learning Algorithms in the Diagnosis and Classification of Neurodegenerative Diseases
• #4. Advanced Polyp Segmentation Using U-Net Architecture: A Review
• #5. Artificial Intelligence as a Sustainable Tool for Optimizing the Wastewater Treatment Plant
• #6. Enhancing Wastewater Stabilization Ponds for Treating Domestic Wastewater Using Machine Learning
• #7. Advanced Studies on Hydrogen Energy Using Computational Chemistry
• #8. Deforestation and Forest Monitoring With CNN and RNN
• #9. Graph-Based Machine Learning for Enhanced Traffic Management: Optimizing Efficiency and Mobility
• #10. Enhanced Autonomous Driving: Various YOLO Models for Pothole Detection
• #11. Unraveling Data Complexity in the Metaverse for Anomaly Detection With Python on NYC Taxi
• #12. The Synergistic Power of AIoT in Enhancing EFL Student CCT Skills in Higher Education
• #13. Transforming Civic Education With ChatGPT to Boost Student Interaction and Social learning in the GenAI Era
• #14. Unveiling Academic Success: Harnessing Graph Machine Learning for Student Performance Prediction

Toufik Mzili is a distinguished Assistant Professor in Computer Science at the Faculty of Sciences, Chouaib Doukkali University, Morocco. With a robust academic and professional background, Dr. Mzili has established himself as an expert in the fields of combinatorial optimization, metaheuristics, artificial intelligence, and data science. His contributions to both theoretical and applied research have significantly impacted these domains, earning him recognition at national and international levels. Dr. Mzili completed his Doctorate in Computer Science (2020–2023) at the Faculty of Sciences, Chouaib Doukkali University, where he specialized in combinatorial optimization and metaheuristic algorithms. Prior to this, he earned his Master’s degree in Computer Science from the National School of Applied Sciences (ENSA) in Safi, Cadi Ayyad University (2017–2020), and his Bachelor’s degree in Mathematics and Computer Science from the Faculty of Sciences, Chouaib Doukkali University (2014–2017). His early education culminated with a high school diploma in Mathematical Sciences, which laid the foundation for his subsequent achievements in academia and industry. As an educator, Dr. Mzili has extensive teaching experience spanning various levels of higher education. He currently teaches courses such as “Machine Learning and Data Mining,” “Web Programming,” “Programming in C Language,” and “Semantic Web” to undergraduate and graduate students across multiple institutions, including the Higher Institute of Engineering & Business (ISGA), the Faculty of Sciences, El Jadida, and the National School of Applied Sciences (ENSAJ). His pedagogical approach emphasizes practical application and innovation, preparing students for real-world challenges in computer science and related disciplines. In addition to his teaching responsibilities, Dr. Mzili actively contributes to the scientific community through editorial roles, conference organization, and peer review activities. He serves as an Associate Editor for prestigious journals such as PloSOne (SCIE, Q1) and Computers, Materials & Continua (SCIE, Q2), and acts as Editor-in-Chief for the Journal of Optimization and Artificial Intelligence . Furthermore, he has guest-edited special issues for renowned publications, including International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Springer, SCIE, Q3) and Statistics, Optimization & Information Computing (Scopus, Q3). As a testament to his commitment to advancing knowledge, Dr. Mzili has also edited several books published by IGI Global and CRC Press, focusing on topics like machine learning, artificial intelligence, and sustainable development. Dr. Mzili's research portfolio reflects his dedication to solving complex problems using cutting-edge methodologies. His work primarily revolves around optimization techniques, metaheuristic algorithms, and their applications in diverse fields such as logistics, healthcare, and urban planning. Notable publications include groundbreaking studies on hybrid genetic and penguin search optimization algorithms, discrete rat swarm optimization for quadratic assignment problems, and innovative approaches to production scheduling and traffic control. These contributions have been featured in top-tier journals, including FACTA UNIVERSITATIS Series: Mechanical Engineering (Q1, IF=10.1), Informatics in Medicine Unlocked (Elsevier, Q1), and Decision Making: Applications in Management and Engineering (Q1). Professionally, Dr. Mzili brings valuable industry experience to his academic pursuits. From 2020 to 2023, he worked as a Software Engineer and Coordinator at the General Secretariat of the Ministry of Health and Social Protection in Rabat, where he designed and implemented web and mobile applications tailored to meet specific ministry needs. Earlier in his career, he contributed to projects involving document dematerialization systems and business process management for clients in the tourism sector while working as an IT consultant at Kertys Maroc. This blend of theoretical expertise and practical application enriches his teaching and research endeavors.

Adarsh Arya competent professional with nearly 20 years of experience in Research and Development / Teaching chemical engineering graduates and post graduates. • Exercises judgment within generally defined practices in selecting methods & techniques for obtaining teaching solutions; ensuring compliance to quality measures and maintenance requisite documentation as well as records • Skills in managing the administrative activities entailing student management, faculty appraisal/training and upholding of the institution's motto • Proficiency in teaching Oil and Gas Pipeline and core chemical engineering subjects to Chemical Engineering Graduate and post graduate students. • Experience in developing curriculum to accommodate different learning styles & maximize students' comprehension • Received research awards • Exposure in working with T.A.N.A.P. Gas Pipeline Project at Worley Parsons. • Exposure in planning and organizing day-to-day research activities and resolving the procedural problem as appropriate to the timely accomplishment of research objectives • An effective leader with proven skills in leading teams during the project phase, training & guiding team members and enabling knowledge sharing among the team