8th EAI International Conference on Computer Science and Engineering in Health Services
Description
This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Computer Science and Engineering in Health Services (COMPSE 2024), which took place September 10-12, 2024 in Laredo, Texas, USA. The full papers presented were carefully reviewed and selected from dozens of submissions. The papers are grouped on thematic topics: application of tools delivered by the COVID-19 pandemic; health services; computer and data science; and industry 4.0 in logistics and supply chain. The content is relevant to researchers, academics, students and professionals.
- Presents the proceedings of the 8th EAI International Conference on Computer Science and Engineering in Health Services;
- Includes topics such as computer and data science, AI tools and applications, and machine learning for optimization;
- Relevant to researchers, academics, students and professionals in communications engineering.
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Persons
Dr. Jose Antonio Marmolejo-Saucedo is a Scientific-Chief Engineer in Romway Machinery Manufacturing Co. Ltd. in Zhejiang, China and professor at Nuevo Leon State University (UANL). He is currently in charge of implementing a digital twin in a smart factory designed in a modular way for large-scale optimization. His research is on operations research, large-scale optimization techniques, computational techniques, 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 leads the Digital Twin Research Lab Mexico https://www.dtlab-research.net/
This lab brings together specialists from China, United States, United Kingdom, Russia, Turkey, Ukraine, Malaysia, Thailand and Mexico. 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 scienti?c 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 of more than 200 research articles in science citation index journals, conference proceedings, presentations, books, and book chapters.
Prof. Dr. Roman Rodriguez-Aguilar earned his Ph.D. from the School of Economics at the National Polytechnic Institute in Mexico. He also holds a master's degree in Engineering from the National Autonomous University of Mexico (UNAM), another master's degree in Administration and Public Policy from the Monterrey Institute of Technology and Higher Education, a postgraduate degree in Applied Statistics from the Research Institute in Applied Mathematics and Systems at UNAM, and a bachelor's degree in Economics from UNAM. Currently, he is a professor at the School of Economic and Business Sciences at Universidad Panamericana in Mexico. His research interests include large-scale mathematical optimization, statistical learning, computational intelligence, health and energy economics, digital transformation in organizations, and causal artificial intelligence. He has taught at several prestigious public and private universities in Mexico and has supervised numerous master's and Ph.D. students. Additionally, he has delivered many lectures, courses, and workshops internationally. Prof. Rodriguez has co-authored numerous research articles published in journals indexed by the Science Citation Index, as well as chapters and books with recognized publishers. He has also coordinated various research projects and is a Level II member of the National System of Researchers in Mexico.
Dr. Utku Kose received the B.S. degree in 2008 from computer education of Gazi University, Turkey as a faculty valedictorian. He received M.S. degree in 2010 from Afyon Kocatepe University, Turkey in the field of computer and D.S. / Ph. D. degree in 2017 from Selcuk University, Turkey in the field of computer engineering. Between 2009 and 2011, he has worked as a Research Assistant in Afyon Kocatepe University. Following, he has also worked as a Lecturer and Vocational School - Vice Director in Afyon Kocatepe University between 2011 and 2012, as a Lecturer and Research Center Director in Usak University between 2012 and 2017, Assistant Professor in Suleyman Demirel University between 2017 and 2019, and as an Associate Professor in Suleyman Demirel University between 2019 and 2024. Currently, he is a Full Professor in Suleyman Demirel University, Turkey. Kose also gave lectures at other higher education institutions such as Gazi University and Istanbul Arel University. He also worked as a Visiting Researcher at the University of North Dakota, USA (between 2023 and 2024) and holds the Honorary Professor of Artificial Intelligence title at ITM (SLS) Baroda University, India. He has more than 350 publications including articles, authored and edited books, proceedings, and reports. He is also in editorial boards of many scientific journals and serves as one of the editors of the Biomedical and Robotics Healthcare (CRC Press) and Computational Modeling Applications for Existential Risks (Elsevier) book series. His research interests include artificial intelligence, machine ethics, artificial intelligence safety, biomedical applications, optimization, the chaos theory, distance education, e-learning, computer education, and computer science.
Igor Litvinchev is a Research Professor at the Faculty of Mechanical and Electrical Engineering, Nuevo Leon State University (UANL), Mexico. He received his M.Sc. degree in Applied Mathematics from Moscow Institute of Physics and Technology (Fizteh), Ph.D. in Systems Theory and Operations Research and Dr. Sci. (Habilitation) in Systems Modeling and Optimization from Computing Center, Russian Academy of Sciences, Moscow. His research is focused on large-scale systems modeling, optimization, and control with interdisciplinary applications. He was supported by 30+ grants from NATO Scienti?c Affairs Division and European Community; ISF (USA) and RFBR (Russia); CNPq and FAPESP (Brasil); BRFBR (Belarus); CONACYT, PROMEP and PAICYT (Mexico). Professor Litvinchev is a member of Russian Academy of Natural Sciences and Mexican Academy of Sciences. He is a co-founder of Mexican Society of Operations Research and Mexican Logistics and Supply Chain Association.
Gaston Cedillo is a Radcliffe Killam Distinguished Faculty member at Texas A&M International University (TAMIU). He previously served as an Associate Professor and Head of Research at Tecnológico de Monterrey (ITESM). From 2013 to 2024, he was the Technical Director of the National Laboratory for Transportation and Logistics Systems, which he proposed and co-founded on April 10, 2015.
Dr. Cedillo-Campos has also been a Visiting Professor, Researcher, and Speaker in Transportation and Logistics at several institutions, including the MIT-Zaragoza Logistics Center, Georgia Tech-Panama, Centre de Recherche Sur le Transport et la Logistique (CRET-LOG), the National Autonomous University of Mexico (UNAM), the Autonomous University of Nuevo León (UANL), and the National University of Colombia. In 2008, he established Mexico's first supply chain research center, the Supply Chain Research and Development Center (CiDeCS), at Tecnológico de Monterrey's Guadalajara Campus. In 2012, he received the National Logistics Award and the Technological Innovation Award from the Autonomous University of Nuevo León. Furthermore, in 2019, he was honored with the InterTraffic Latin America Award for leading the design and operation of Latin America's first Urban Cargo Distribution Living Lab.
He earned his PhD in Transportation (Logistics Systems) with honors from the University of Paris, France, in 2004. In 2010, he developed a dynamic analysis method to study the propagation of the "Cross-Border Effect" in freight flows and its impact on the logistics value of transportation infrastructure. Currently, he leads research on freight fluidity. Recognized as an expert in the field, he has taught at prestigious institutions in Mexico, Spain, France, Colombia, Panama, and Chile. As the Scientific Chair of the International Congress on Logistics and Supply Chain (CiLOG), he organizes a premier event that influences transportation and logistics development in Latin America. Additionally, he serves as an Area Editor (Transport) for the journal "Computers & Industrial Engineering." Dr. Cedillo-Campos is a full member of Sigma Xi, the Scientific Research Honor Society.
Content
Part I: Scientific Computing and Information Technology Applications.- Ch 1: Information Technology Project Cost Evaluation Based on Matter-Element Extensible Theory.- Ch 2: Cyber Value at Risk and Cognitive Estimation- A Human Centered Design Approach.- Ch 3: Problems of sensors with a view to Digital Twins. A review of the literature.- Ch 4: Distributed Computing in the Industry 4.0.- Ch 5: Implementation of both a digital learning object and strategies of games for teaching Probability and Statistics in a hybrid environment.- Ch 6: The sustainable industrial site of the future based on: energy efficiency, renewable energy, artificial intelligence and energy policy.- Part II: Optimization and heuristic methods applied to engineering.- Ch 7: Selection of a multi-criteria method for expediting the import process.- Ch 8: OPTIMIZATION OF MICROSTRUCTURE DESIGN OF HEAT-RESISTANT ALLOY POWDERS FOR ADDITIVE MANUFACTURING.- Ch 9: Corporate Social Responsibility and Financial Performance: Evidence from public companies listed on the Mexican Stock Exchange.- Ch 10: A Two-Phase Heuristic and Genetic Algorithm for the Heterogeneous Fleet Vehicle Routing Problem.- Ch 11: SEQUENTIAL PACKING OF POLYGONAL ITEMS USING RECTANGULAR ENVELOPS.- Ch 12: Adaptation of three Metaheuristics to solve the bi-objective portfolio optimization problem.- Ch 13: Optimizing Technician Routes in Reforestation Programs Using Unsupervised Machine Learning and Exact Algorithms.- Part III: Modeling, simulation and computing applied to healthcare.- Ch 14: Music Creation and Electroencephalogram Headset as Therapeutic Means in Managing and Treating Neurological Disorders and Mental Illnesses.- Ch 15: Exploring the Influence of NCD on the Health Habits of the Mexican Working Population.- Ch 16: The application of the business model in the healthcare sector for the innovation.- Ch 17: Use of Discrete Event Simulation to analyze warehouse processes in a pharmaceutical company.- Part IV: Artificial intelligence and learning techniques.- Ch 18: Ethical Framework for Integrating Artificial Intelligence in Open and Distance Learning.- Ch 19: Gross Domestic Product Prediction using Multilayer Perceptron, Radial Basis Function Regressor, and Random Forest Regressor Models.- Ch 20: Evolutionary Serial Fuzzy Neural Network Vehicle Routing Problem with Profits. A Tourist Trip Desing Problem Solution approach for the Industry 5.0.- Ch 21: The Planning Sensor, a strategy for autonomous real-time production planning without human intervention.- Ch 22: Traffic queuing with 2D Parzen Windows for LSTM prediction.