Ricardo Alberto Rodríguez-Carvajal | Technology | Best Researcher Award

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Prof. Dr. Ricardo Alberto Rodríguez-Carvajal | Technology | Best Researcher Award

Research Professor at Universidad de Guanajuato, Mexico

Dr. Ricardo Alberto Rodríguez Carvajal is a distinguished professor and researcher at the Universidad de Guanajuato 🇲🇽. With a strong background in industrial engineering, strategic planning, and technology management, he has contributed significantly to academia and industry. His expertise spans sustainable development, energy security, and social innovation ⚡🌍. He has served in leadership roles at Universidad de Sonora and Universidad de Guanajuato, guiding doctoral research and technology transfer. As a member of the Sistema Nacional de Investigadores (SNI) and the National Solar Energy Association, he actively promotes renewable energy solutions ☀️🔬.

Professional Profile

Orcid

Education & Experience 📚👨‍🏫

  • Doctorate in Strategic Planning & Technology Management, UPAEP (2013) 🎓
  • Master’s in Computer Science, Instituto Tecnológico de Hermosillo (2006) 💻
  • Industrial & Systems Engineering, Universidad de Sonora (1999) 🏭
  • Postdoctoral Researcher, CONAHCYT – Universidad de Sonora (2023) 🏡🌱
  • Professor, Universidad de Guanajuato (2016–present) 👨‍🏫
  • Professor, Universidad Virtual del Estado de Guanajuato (2021–present) 🌐
  • Guest Lecturer, Instituto Politécnico Nacional (2021–2022) 🎓
  • Director of Innovation, Grupo Industrial SOGO (2015–2017) 🚀

Professional Development 🚀📖

Dr. Rodríguez Carvajal has dedicated his career to innovation, academia, and technology transfer. As an SNI Level 1 researcher, he contributes to the advancement of renewable energy and industrial engineering ⚡🏭. He has played a crucial role in technology commercialization, helping industries develop solar energy solutions ☀️. He also works as an academic advisor for doctoral and postgraduate students at UPAEP 📚. His leadership extends to editorial roles, project management, and participation in international networks like IATED and the National Association of Solar Energy 🌍. His goal is to bridge research and industry through innovation and sustainability.

Research Focus 🔬🌱

Dr. Rodríguez Carvajal’s research revolves around renewable energy, sustainability, and industrial innovation ⚡🏭. He specializes in solar energy technologies ☀️, helping develop tracking systems for photovoltaic panels. His work includes strategic planning for sustainable development 🌍, addressing energy, water, and food security challenges in Mexico. He is also involved in social innovation projects, leveraging technology to improve conditions in indigenous communities 🏡. His interdisciplinary approach combines engineering, environmental science, and policy to create impactful solutions. Through international collaborations, he contributes to the future of clean energy and industrial efficiency 🌍🔋.

Awards & Honors 🏆🎖

  • Member of Sistema Nacional de Investigadores (SNI), Level 1 (2023-2027, 2020-2022, 2013-2016) 🏅
  • PRODEP Recognition for Academic Excellence (2018-2021, 2015-2018) 🏆
  • National Researcher Fellowship, CONACyT (2008-2012) 🎓
  • PROMEP Doctoral Studies Fellowship (2008-2013) 🎖
  • Reviewer for Engineering Accreditation Council (CACEI) (2008-2014) 📜
  • Editorial Secretary, Renewable Energy Journal (2022-2024) 📰
  • Technical Advisor, National Evaluation Center (CENEVAL) (2002-2014) 🏛

Publication Top Notes

  • Absorption Capacities of Digital Transformation Technologies in the Agroindustry of Guanajuato

    • Journal: Revista de Gestão Social e Ambiental
    • Year: 2024
    • DOI: 10.24857/rgsa.v18n9-159
    • Citation: Author(s). “Absorption Capacities of Digital Transformation Technologies in the Agroindustry of Guanajuato.” Revista de Gestão Social e Ambiental, vol. 18, no. 9, 2024, DOI: 10.24857/rgsa.v18n9-159.

  • Perspective of Water-Use Programs in Agriculture in Guanajuato

    • Journal: Agriculture
    • Year: 2024
    • DOI: 10.3390/agriculture14081258
    • Citation: Author(s). “Perspective of Water-Use Programs in Agriculture in Guanajuato.” Agriculture, vol. 14, no. 8, 2024, DOI: 10.3390/agriculture14081258.

  • Enhancing the Productivity of Mexican Agriculture Through the Provision of Industry 4.0 Training for Local Farmers

    • Conference: ICERI 2023
    • Year: 2023
    • DOI: 10.21125/iceri.2023.0549
    • Citation: Author(s). “Enhancing the Productivity of Mexican Agriculture Through the Provision of Industry 4.0 Training for Local Farmers.” ICERI 2023 Proceedings, 2023, DOI: 10.21125/iceri.2023.0549.

  • Carbón Vegetal de Marabú, Un Aporte a la Energía Renovable

    • Journal: Energías Renovables
    • Year: 2023
    • DOI: 10.59730/rer.v10n50a1
    • Citation: Ricardo Alberto Rodríguez-Carvajal. “Carbón Vegetal de Marabú, Un Aporte a la Energía Renovable.” Energías Renovables, vol. 10, no. 50, 2023, DOI: 10.59730/rer.v10n50a1.

  • Correlating Disorder Microstructure and Magnetotransport of Carbon Nanowalls

    • Journal: Applied Sciences
    • Year: 2023
    • DOI: 10.3390/app13042476
    • Citation: Author(s). “Correlating Disorder Microstructure and Magnetotransport of Carbon Nanowalls.” Applied Sciences, vol. 13, no. 4, 2023, DOI: 10.3390/app13042476.

Eman Aldakheel | Artificial Intelligence | Best Researcher Award

Published on by Physicist Particle

Assist Prof Dr. Eman Aldakheel | Artificial Intelligence | Best Researcher Award

Scopus Profile

Orcid Profile

Educational Details:

Dr. Eman Aldakheel holds a Doctor of Philosophy in Computer Science from the University of Illinois at Chicago, where her dissertation, titled “Deadlock Detector and Solver (DDS),” focused on developing solutions for deadlock issues in computer systems. She earned her Master of Science in Computer Science from Bowling Green State University in Ohio, with a thesis titled “A Cloud Computing Framework for Computer Science Education,” highlighting her interest in leveraging technology for educational advancement. Dr. Aldakheel completed her Bachelor of Science in Computer Science with Honors from Imam Abdulrahman bin Faisal University in Dammam, Saudi Arabia, laying the foundation for her career in academia and research.

Academic Experience:

Dr. Eman Aldakheel has an extensive teaching and training background, starting as an instructor at the New Horizons Institute in Khobar, Saudi Arabia, in 2007, where she trained students on ICDL and IC3 certifications and taught various computer-related courses. She later joined Imam Abdulrahman bin Faisal University (formerly Dammam University) as an instructor, teaching basic computer skills and Microsoft Office applications to students in the Geography department. She also taught computer basics to girls at Riyadh Al-Islam Schools, working with students from elementary to high school levels. From 2012 to 2020, Dr. Aldakheel served as a lecturer at Princess Nourah Bint Abdulrahman University, where she contributed as a research assistant on software engineering projects and taught object-oriented programming. Since Fall 2020, she has been an Assistant Professor at the same institution, teaching various computer science courses ranging from programming to natural language processing. Dr. Aldakheel effectively adapted to remote teaching tools like Blackboard, Teams, and Zoom during the COVID-19 pandemic, ensuring uninterrupted learning for her students.

Honors and Awards:

Dr. Eman Aldakheel has actively participated in prestigious academic workshops and conferences, including the CRA-Women Grad Cohort Workshop, which supports the professional development of women in computing. Her academic achievements have earned her multiple travel awards, including ACM’s SRC (Student Research Competition) Travel Award and the HPDC (High Performance Distributed Computing) Travel Award, both of which provided her with opportunities to present her research and engage with global experts in the field. These accolades reflect her commitment to advancing her knowledge and contributing to the broader academic community.

Service Activities:

Dr. Eman Aldakheel has played a pivotal role in fostering the growth and development of talented students at Princess Nourah Bint Abdulrahman University. She has been actively involved in planning programs and activities aimed at nurturing high-achieving students, ensuring they receive the support and opportunities needed to excel. Dr. Aldakheel designed and built the foundation for the “Foundations of Programming” (GN 044) course, recording its lectures to enhance learning accessibility. Additionally, she supervises the College of Computer and Information student magazine, encouraging student participation in scholarly activities. Her involvement extends to various committees, where she serves as a judge or supervisor for hackathons, contributing her expertise to inspire innovation and creativity among students.

Granted Projects:

Dr. Eman Aldakheel is actively involved in several significant research projects. In 2023, she contributed to the “Researchers Supporting Project” at Princess Nourah Bint Abdulrahman University, under project number PNURSP2023R409. She is also leading two research initiatives funded by the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia. The first, under project number RI-44-0618, focuses on the “Detection and Identification of Plant Leaf Diseases using YOLOv4,” running from November 2022 to May 2024. The second project, WE-44-0279, explores the “Use of Modern Machine Learning Techniques to Combat Extremism and the Role of Women,” also from November 2022 to May 2024. These projects highlight Dr. Aldakheel’s expertise in machine learning and its application to various fields, from agriculture to social issues.

Top Notable Publications

“Performance of Rime-Ice Algorithm for Estimating the PEM Fuel Cell Parameters”

Authors: Ismaeel, A.A.K., Houssein, E.H., Khafaga, D.S., Aldakheel, E.A., Said, M.

Year: 2024

Journal: Energy Reports

Citations: 3

“Outlier Detection for Keystroke Biometric User Authentication”

Authors: Ismail, M.G., Salem, M.A.-M., El Ghany, M.A.A., Aldakheel, E.A., Abbas, S.

Year: 2024

Journal: PeerJ Computer Science

Citations: 0

“Mobile-UI-Repair: A Deep Learning-Based UI Smell Detection Technique for Mobile User Interface”

Authors: Ali, A., Xia, Y., Navid, Q., Aldakheel, E.A., Khafaga, D.

Year: 2024

Journal: PeerJ Computer Science

Citations: 2

“Enhancing Security and Privacy in Distributed Face Recognition Systems through Blockchain and GAN Technologies”

Authors: Ghani, M.A.N.U., She, K., Rauf, M.A., Aldakheel, E.A., Khafaga, D.S.

Year: 2024

Journal: Computers, Materials and Continua

Citations: 0

“Detection and Identification of Plant Leaf Diseases using YOLOv4”

Authors: Aldakheel, E.A., Zakariah, M., Alabdalall, A.H.

Year: 2024

Journal: Frontiers in Plant Science

Citations: 1

“Performance of the Walrus Optimizer for Solving an Economic Load Dispatch Problem”

Authors: Said, M., Houssein, E.H., Aldakheel, E.A., Khafaga, D.S., Ismaeel, A.A.K.

Year: 2024

Journal: AIMS Mathematics

Citations: 2

“Efficient Analysis of Large-Size Bio-Signals Based on Orthogonal Generalized Laguerre Moments of Fractional Orders and Schwarz–Rutishauser Algorithm”

Authors: Aldakheel, E.A., Khafaga, D.S., Fathi, I.S., Hosny, K.M., Hassan, G.

Year: 2023

Journal: Fractal and Fractional

Citations: 1

“Performance of Osprey Optimization Algorithm for Solving Economic Load Dispatch Problem”

Authors: Ismaeel, A.A.K., Houssein, E.H., Khafaga, D.S., AbdElrazek, A.S., Said, M.

Year: 2023

Journal: Mathematics

Citations: 17

“CyberHero: An Adaptive Serious Game to Promote Cybersecurity Awareness”

Authors: Hodhod, R., Hardage, H., Abbas, S., Aldakheel, E.A.

Year: 2023

Journal: Electronics (Switzerland)

Citations: 3

Carrasquilla, M.D.L., Sun, M., Long, T., Huang, L., & Zheng, Y. (2024). Seismic anisotropy of granitic rocks from a fracture stimulation well at Utah FORGE using ultrasonic measurements. Geothermics, 123, 103129.

Carrasquilla, M.D.L., Parsons, J., Long, T., Zheng, Y., & Han, D.-H. (2023). Ultrasonic measurements of elastic anisotropy of granitic rocks for enhanced geothermal reservoirs. SEG Technical Program Expanded Abstracts, 2023-August, 79–83.

Carrasquilla, M.D.L., Costa, M.D.F.B., Souza, I.J.S., Amanajás, C.E., & Nunes, L.R.A. (2022). Geological, geophysical and mathematical analysis of synthetic bulk density logs around the world – Part II – The use of non-linear regression on empirical parameters estimation. Journal of Applied Geophysics, 206, 104838.

Carrasquilla, M.D.L., Carvalho, C.P., Costa, M.D.F.B., Amanajás, C.E., & Rautino, L. (2022). Geological, geophysical and mathematical analysis of synthetic bulk density logs around the world – Part I – The use of linear regression on empirical parameters estimation. Journal of Applied Geophysics, 204, 104733.