7th EAI International Conference on 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, digital twins development, 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.

Dr. Idalia Flores de la Mota received a Master with honors, being awarded the Gabino Barreda Medal for the best average of her generation, in the Faculty of Engineering of the UNAM, where she also obtained her Ph.D. in Operations Research. Dr. Flores is a referee and a member of various Academic Committees at CONACYT as well as being a referee for journals such as Journal of Applied Research and Technology, the Center of Applied Sciences and Technological Development, UNAM and the Transactions of the Society for Modeling and Simulation International.  She is a full time professor at the Postgraduate Program at UNAM and her research interests lie in simulation and optimization of production and service systems.

Roman Rodriguez-Aguilar is a professor in the Faculty of Economic and Business Sciences of the Universidad Panamericanain Mexico. His research is on large-scale mathematical optimization, evolutionary computation, statistical learning, computational intelligence, health economics, energy 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.

Liliana Marmolejo-Saucedo. Saucedo. Doctor from the AutonomousUniversity of the State of Morelos. Master in Health Services Administration from the National Institute of Public Health, Mexico. Master in Public Health with a concentration in Epidemiology from theNational Institute of Public Health, Mexico. Managerial and clinical experience in first and second-level care units: DeputyMedical. Director of the ''Dr.Rafael Barba Ocampo''; Medical Specialist in Epidemiology at the ''Dr. Rafael Barba Ocampo'' in the ISSSTE Morelos delegation; Physician supervisor of the three levels of

Introduction.- Computer and Data Science.- Artificial Intelligence tools and applications.- Machine learning for optimization.- Intelligent Systems.- Cyber-physical systems.- Internet of medical things.- Blockchain technology in healthcare.- Robotics in the healthcare industry.- Mixed realities.- Optimization, simulation and predictive analytics in healthcare.- Health care systems optimization.- Health care delivery, measurement, and modeling.- Health information systems.- Environmental health.- Economic analysis of health systems.- Conclusion.