Computer Science and Engineering in Health Services

Jose Antonio Marmolejo-Saucedo is a professor at National Autonomous University of Mexico, Mexico. His research is on operations research, large-scale optimization techniques, computational techniques and analytical methods for planning, operations, and control of electric energy and logistic systems.  He is particularly interested in topics related to artificial intelligence, digital twins, the Internet of things and Industry 4.0. Currently, Prof. Marmolejo, together with his graduate students, leads the laboratory for the development of digital twins in companies and businesses. He received his Ph. D in Operations Research (Hons) at the National Autonomous University of Mexico. At present, he has the first-highest country-wide distinction granted by the Mexican National System of Research Scientists for scientific merit (SNI Fellow, Level 3). He is a member of the Network for Decision Support and Intelligent Optimization of Complex and Large-Scale Systems and Mexican Society for Operations Research. He has co-authored research articles in science citation index journals, conference proceedings, presentations, books, and book chapters.

economics, mathematical finance, competition, and market regulation. He received his Ph.D. at the School of Economics at the National Polytechnic Institute, Mexico. He also has a master's degree in Engineering from the School of Engineering at the National University of Mexico (UNAM), a master's degree in Administration and Public Policy from the School of Government and Public Policy at Monterrey Institute of Technology and Higher Education, a postgraduate in Applied Statistics at the Research Institute in Applied Mathematics and Systems of the UNAM and his degree in Economics at the UNAM. Before joining Panamericana University, he worked as a specialist in economics, statistics, simulation, finance, and optimization, occupying different management positions in various public and private entities such as the Ministry of Energy, Ministry of Finance, and Ministry of Health. He has co-authored many research articles in science citation index journals, conference proceedings, presentations, and book chapters. Professor Rodríguez has supervised many MSc. and Ph.D. Students. He is a member of the National System of Researchers Level II of CONACYT in Mexico.

Dr. Pandian Vasant is a senior lecturer at Universiti Teknologi Petronas, Malaysia and an Editor-in-Chief of International Journal of Energy Optimization and Engineering (IJEOE). He holds Ph.D. in Computational Intelligence (UNEM, Costa Rica), M.Sc. (University Malaysia Sabah, Malaysia, Engineering Mathematics) and B.Sc. (Hons, Second Class Upper) in Mathematics (University of Malaya, Malaysia). His research interests include Soft Computing, Hybrid Optimization, Innovative Computing and Applications. He has co-authored research articles in journals, conference proceedings, presentation, special issues guest editor, book chapters (248 publications indexed in Web of Science) and General Chair of EAI International Conference on Computer Science and Engineering in Penang, Malaysia (2016) and Bangkok, Thailand (2018). In the year 2009 and 2015, Dr. Pandian Vasant was awarded top reviewer and outstanding reviewer for the journal Applied Soft Computing (Elsevier). He has 27 years of working experiences at the universities. Currently he is an Editor-in-Chief of International Journal of Energy Optimization and Engineering, and Member of AMS (USA), NAVY Research Group (TUO, Czech Republic) and MERLIN Research Group (TDTU, Vietnam).

Igor Litvinchev received his M.Sc. degree in Applied Ma

Chapter 1. Introduction.- Chapter 2. Computer and Data Science.- Chapter 3. Artificial Intelligence tools and applications.- Chapter 4. Machine learning for optimization.- Chapter 5. Intelligent Systems.- Chapter 6. Cyber-physical systems.- Chapter 7. Internet of medical things.- Chapter 8. Blockchain technology in healthcare.- Chapter 9. Robotics in the healthcare industry.- Chapter 10. Mixed realities.- Chapter 11. Optimization, simulation and predictive analytics in healthcare.- Chapter 12. Health care systems optimization.- Chapter 13. Health care delivery, measurement, and modeling.- Chapter 14. Health information systems.- Chapter 15. Environmental health.- Chapter 16. Economic analysis of health systems.- Chapter 17. Conclusion.