Jordi Rodeiro | Computer Science | Best Researcher Award

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Mr. Jordi Rodeiro | Computer Science | Best Researcher Award

 👤 Mr. Jordi Rodeiro, Institut de Recerca Sant Joan de Déu, Spain

Jordi Rodeiro Boliart is an accomplished International Computer Engineering and Sports Science graduate with a Master’s in Data Science and ongoing doctoral studies in Artificial Intelligence at La Salle Bonanova, Barcelona. Jordi is a dynamic professional blending a robust academic foundation with practical expertise. He is dedicated to leveraging data science and AI in health research, particularly autism prediction. With a deep passion for problem-solving and innovation, Jordi has conducted significant work in basketball analytics, biomedical data analysis, and medical imaging. His projects have included building Python tools, web applications, and dashboards that streamline decision-making. Jordi’s multilingual fluency in Catalan, Spanish, and English (C1) and his adaptability, critical thinking, and leadership skills underscore his commitment to excellence. As a mental health researcher, programming professor, and basketball coach, Jordi excels at interdisciplinary collaboration, fostering innovation, and making meaningful contributions to both academia and real-world applications.

Professional Profile

Orcid

Google Scholar

🌟  Summary of Suitability for the Award

Jordi Rodeiro Boliart demonstrates an exceptional combination of academic excellence, multidisciplinary expertise, and impactful research, making him a strong candidate for the Research for Best Researcher Award. His academic journey spans multiple disciplines, including International Computer Engineering, Sports Science, and Data Science, culminating in a PhD in Artificial Intelligence and Autism Prediction. His diverse background equips him with a unique perspective in integrating technology, data science, and health research to address complex societal challenges.

Jordi’s research outputs reflect significant contributions to both applied and theoretical domains. Notably, his final master’s thesis focused on analyzing basketball data to enhance coaching strategies, while his degree project in the biomedical field led to a published scientific paper.

🎓 Education

Jordi Rodeiro Boliart boasts an impressive academic journey beginning with a dual degree in International Computer Engineering (La Salle, UPC) and Sports Science (INEFC Barcelona, UB). He further honed his expertise with a Master’s in Data Science (La Salle Bonanova, Barcelona), culminating in award-winning academic recognition. Currently pursuing a Ph.D. in Artificial Intelligence with a focus on autism prediction, Jordi demonstrates a commitment to cutting-edge research. His educational highlights include a final master’s thesis analyzing basketball data to enhance coaching strategies and a degree project in metabolomics published in a peer-reviewed journal. Jordi has also contributed to projects in medical imaging, such as using x-rays for illness detection. His academic journey is enriched by attending technology seminars at globally renowned institutions like Harvard and MIT, along with specialized training in leadership and organizational behavior. Jordi’s blend of technical and interdisciplinary studies defines his innovative, research-oriented career trajectory.

💼   Professional Experience

Jordi Rodeiro Boliart has a versatile professional background spanning research, teaching, and leadership. As a mental health researcher at Parc Sanitari Sant Joan de Déu, Jordi applies statistics and data science to critical health data, contributing to global assemblies and conferences. He serves as a university professor at La Salle Barcelona, teaching programming, mathematics, and IT software. As a data science intern at Sener, Jordi specialized in Power BI dashboards and analyzing corporate metrics. His engineering research internship included creating biomedical tools for metabolomic analysis, leading to a published paper. Jordi’s sports background complements his tech expertise, with roles as a basketball coach and coordinator, focusing on player development and team strategy. His earlier internships at Alfred Smart Systems and other engineering roles solidified his Python and gateway programming skills. Jordi’s diverse experiences exemplify his ability to integrate technology, data science, and education for impactful contributions.

🏅Awards and Recognitions

Jordi Rodeiro Boliart’s contributions have been widely recognized through various awards and honors. He received the prestigious Malaspina Award as part of the Empower consortium in 2023 and was a HackB finalist in the same year. Jordi was acknowledged with an academic excellence certificate for the best master’s record in Data Science (2023) and emerged as the LS Future Lab – Impact Challenge Hackathon winner in 2022. He represented his university as a National Model United Nations delegate in New York (2022) and participated in an international cooperation project in Perú. Jordi’s outstanding research on metabolomics earned him the opportunity to present at the Metabolomics 2022 conference. Beyond academia, Jordi is a certified Level II basketball coach, an FCBQ leadership trainee, and a master-certified Gannon Baker basketball coach. These accolades reflect his exceptional abilities in technical innovation, leadership, and interdisciplinary collaboration.

🌍  Research Skills On Computer Science

Jordi Rodeiro Boliart excels in applying advanced research methodologies to interdisciplinary challenges. His expertise includes data science, artificial intelligence, and object-oriented programming. Jordi has developed sophisticated tools for biomedical research, basketball analytics, and mental health studies. His doctoral research focuses on autism prediction through AI, combining statistical analysis and data visualization techniques. Jordi’s proficiency spans Python, MATLAB, MySQL, and Power BI, with skills in machine learning and medical image processing. He has designed Python programs to predict basketball outcomes, web apps for metabolomics, and diagnostic tools for x-rays. Jordi’s critical thinking, decision-making, and integrity define his research approach. His ability to present findings, such as at the Metabolomics 2022 conference, underscores his communication and analytical skills. Jordi’s research bridges academia and practical applications, demonstrating a commitment to addressing complex problems in health and technology.

📖 Publication Top Notes

1. The longitudinal relationship among physical activity, loneliness, and mental health in middle-aged and older adults: Results from the Edad con Salud cohort
  • Authors: Jordi Rodeiro, Beatriz Olaya, Josep Maria Haro, Aina Gabarrell-Pascuet, José Luis Ayuso-Mateos, Lea Francia, Cristina Rodríguez-Prada, Blanca Dolz-del-Castellar, Joan Domènech-Abella
  • Year: 2024
  • Citation: DOI: 10.1016/j.mhpa.2024.100667
2. The association of material deprivation with major depressive disorder and the role of loneliness and social support: A cross-sectional study
  • Authors: Joan Domènech-Abella, Carles Muntaner, Jordi Rodeiro, Aina Gabarrell-Pascuet, Josep Maria Haro, José Luis Ayuso-Mateos, Marta Miret, Beatriz Olaya
  • Year: 2024
  • Citation: DOI: 10.1016/j.jad.2024.09.071
3. Feasibility of an occupational e-mental health intervention for enhancing workplace mental health (EMPOWER RCT): Effectiveness and lessons learned (Preprint)
  • Authors: Carlota de Miquel, Christina M. Van der Feltz-Cornelis, Leona Hakkaart-van Roijen, Dorota Merecz-Kot, Marjo Sinokki, Jordi Rodeiro, Jennifer Sweetman, Kaja Staszewska, Ellen Vorstenbosch, Daniele Porricelli et al.
  • Year: 2024
  • Citation: DOI: 10.2196/preprints.66041
4. Trends of use of drugs with suggested shortages and their alternatives across 52 real-world data sources and 18 countries in Europe and North America
  • Authors: Marta Pineda-Moncusí, Alexandros Rekkas, Álvaro Martínez Pérez, Angela Leis, Carlos Lopez Gomez, Eric Fey, Erwin Bruninx, Filip Maljković, Francisco Sánchez-Sáez, Jordi Rodeiro et al.
  • Year: 2024
  • Citation: DOI: 10.1101/2024.08.28.24312695
5. CloMet: A Novel Open-Source and Modular Software Platform That Connects Established Metabolomics Repositories and Data Analysis Resources
  • Authors: Jordi Rodeiro, Ester Vidaña-Vila, Joan Navarro, Roger Mallol
  • Year: 2023

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Raghad K Mohammed | Computer Science | Academic Excellence Award

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Dr. Raghad K Mohammed | Computer Science | Academic Excellence Award

👤 Dr. Raghad K Mohammed, College of Computer Science and Information Technology, Iraq

Raghad Khaled Mohammed, born on September 29, 1978, is a dedicated academic professional specializing in Computer Networks. She serves as a Lecturer at the College of Dentistry, University of Baghdad, where she has contributed significantly to education and research since 2005. A Muslim, married, and a mother of two, Raghad has consistently balanced her personal and professional life with distinction. Her academic journey began with a Bachelor’s degree from Al-Rafidain in 2002, followed by a Master’s in Computer Networks from the University of Technology in 2005. She is currently pursuing a PhD in Computer Science and Information Technology at the University of Anbar. Her professional roles have included leadership positions, such as Head of the Planning and Quality Assurance Units, showcasing her commitment to academic excellence and institutional development.

Professional Profile

scopus

🌟 Suitability for the Research for Academic Excellence Award

Summary of Suitability
Raghad Khaled Mohammed’s extensive academic journey and professional accomplishments demonstrate her dedication to higher education and research, making her a strong candidate for the Research for Academic Excellence Award. With a career spanning nearly two decades, her contributions as a lecturer at the University of Baghdad’s College of Dentistry, along with leadership roles in quality assurance, planning, and continuing education, reflect her commitment to fostering academic and institutional excellence.

🎓  Education

Raghad Khaled Mohammed’s academic qualifications reflect her dedication to advancing knowledge in Computer Science. She earned her Bachelor’s degree in 2002 from Al-Rafidain, laying the foundation for her career. In 2005, she completed a Master’s degree in Computer Networks from the Informatics Institute for Graduate Studies, University of Technology, Baghdad. This specialization equipped her with technical expertise in designing and managing network systems. Currently, she is pursuing a PhD in Computer Science and Information Technology at the University of Anbar, demonstrating her commitment to lifelong learning and academic growth. Her academic progression highlights her passion for integrating innovative solutions and knowledge-sharing within the field of computer science, with a focus on practical applications that benefit both academia and industry.

💼  Professional Experience

Raghad Khaled Mohammed has a rich professional journey at the University of Baghdad. She started as an Assistant Lecturer in 2005, demonstrating a strong foundation in teaching and academic research. From 2006 to 2009, she led the Planning Department, showcasing her organizational and strategic planning skills. In 2010, she was promoted to Lecturer, reflecting her academic and professional growth. Between 2016 and 2018, she excelled as the Head of the Quality Assurance Unit, where she implemented initiatives to enhance educational standards. Her leadership continued in 2024 as the Head of the Continuing Education Unit, focusing on faculty and student skill development. Raghad’s multifaceted roles underline her expertise in education, administration, and her dedication to fostering an environment of continuous improvement and innovation.

🏅 Awards and Recognition

Raghad Khaled Mohammed’s career is marked by achievements and recognition in academia. Her contributions to quality assurance earned her institutional accolades during her tenure as the Head of the Quality Assurance Unit. Her innovative initiatives in the Planning Department were lauded for their impact on academic progress and administrative efficiency. As a researcher and educator, she has been acknowledged for her role in advancing the field of Computer Networks, earning respect among peers and students alike. Raghad has also been recognized for her leadership in Continuing Education, where she played a pivotal role in professional development programs. These accolades affirm her commitment to academic excellence and her ability to inspire positive change within her institution.

🌍 Research Skills On Computer Science

Raghad Khaled Mohammed possesses diverse research skills, particularly in Computer Networks and Information Technology. Her expertise includes network architecture design, security protocols, and system optimization. She is skilled in using advanced simulation tools and programming languages to develop innovative solutions for complex networking challenges. Raghad’s research focuses on bridging the gap between theoretical concepts and real-world applications, aiming to enhance efficiency and cybersecurity in digital systems. Her ability to integrate interdisciplinary approaches, coupled with her technical expertise, ensures impactful contributions to academia and industry. With ongoing doctoral studies, her research skills continue to evolve, driving advancements in Computer Science and Information Technology.

📖 Publication Top Notes

Title: U-Net for Genomic Sequencing: A Novel Approach to DNA Sequence Classification
  • Authors: Mohammed, R.K.; Alrawi, A.T.H.; Dawood, A.J.
    Year: 2024
    Journal: Alexandria Engineering Journal
    Volume and Pages: 96, pp. 323–331
    Citations: 0
Title: Optimizing Genetic Prediction: Define-by-Run DL Approach in DNA Sequencing
  • Authors: Mohammed, R.K.; Alrawi, A.T.H.; Dawood, A.J.
    Year: 2023
    Journal: Journal of Intelligent Systems
    Volume and Pages: 32(1), Article ID: 20230130
    Citations: 0
Title: Detecting Damaged Buildings on Post-Hurricane Satellite Imagery Based on Transfer Learning
  • Authors: Al-Saffar, R.; Mohammed, R.K.; Abed, W.M.; Hussain, O.F.
    Year: 2022
    Journal: NeuroQuantology
    Volume and Pages: 20(1), pp. 105–119
    Citations: 1