Homepage 🖱️ - Elías David Niño-Ruiz, Ph.D.

Elías D. Niño-Ruiz, Ph.D.

Short Bio

Elias D. Nino-Ruiz is an accomplished professional with a strong academic background and extensive industry experience. He obtained his Diploma in System Engineering (2007), M.Sc. in System Engineering (2009), and M.Sc. in Industrial Engineering (2010) from the prestigious Universidad del Norte (UniNorte) in Barranquilla, Colombia. He further pursued his passion for knowledge and earned his Ph.D. in Computer Science and Applications (2015) from the renowned Virginia Polytechnic Institute and State University (Virginia Tech) in Blacksburg, USA. Throughout his career, Elias has made significant contributions to the field of computational science and applied mathematics. He has worked as an intern at Argonne National Laboratory, USA (2013), and Lawrence Livermore National Laboratory, USA (2014), gaining invaluable hands-on experience in cutting-edge research and development. From 2011 to 2015, Elias served as a research assistant in the esteemed Computational Science Laboratory at Virginia Tech, where he actively contributed to various research projects and published numerous papers in reputable journals and conferences. During his time at Virginia Tech, he also served as an instructor of Numerical Methods (2015), mentoring and guiding students in their academic pursuits. In 2016, Elias joined UniNorte's Department of Systems Engineering as an Associate Professor and assumed the role of Director of the Applied Math and Computer Science Laboratory. In this capacity, he has been instrumental in leading research initiatives and mentoring students, fostering a collaborative environment that encourages innovation and academic excellence. Elias's expertise extends beyond academia, and he is recognized as a leading figure in the industry. His remarkable achievements and dedication to his field led him to be invited to join the Early Career Advisory Board of the Control Engineering Practice Journal, Elsevier, in 2022. This position showcases his standing as a trusted expert and his commitment to advancing the field of control engineering. With a profound interest in computational science, applied mathematics, and applied statistics, Elias has consistently demonstrated his ability to apply theoretical concepts to real-world challenges. His industry experience, combined with his academic achievements, enables him to bridge the gap between theory and practice, delivering innovative solutions that drive progress and success.



My favorite quote: Isaiah 40:31. But they who wait for the LORD shall renew their strength; they shall mount up with wings like eagles; they shall run and not be weary; they shall walk and not faint.

Links of Interest

✔️ Education and Certifications ✔️ Publications ✔️ Experience ✔️ Editorial Services ✔️ Peer Reviews ✔️ Talks

Professional Networks

ORCID logo ORCID , Google Scholar, SCOPUS Author Profile, Applied Math and Computer Science Lab

Posts - News - Last update October 20, 2024

✔️ Worgking towards having a lib for modified Cholesky decomposition, to be delivered soon!

🚀 I am excited to announce the launch of my new online course on Data Assimilation, which is completely free! This course is designed to help you understand all the essential concepts and methods of Data Assimilation through comprehensive notes and practical Python programs. Whether you’re new to the field or seeking to expand your knowledge, this course provides you with a solid foundation in Data Assimilation. Plus, with the Python programs provided, you can gain practical experience and see how Data Assimilation methods are implemented in real-world scenarios. You can access the course through the following link: Data Assimilation. And, please feel free to share the course with anyone who may benefit from it. Thank you for considering this course, and I hope it helps you in your journey to become a proficient Data Assimilation practitioner! (Updated May 09, 2023)

✔️ Save the date! On April 28th, 2023, the Universidad del Norte is hosting the Systems Engineering Day 202310. Join us at the Auditorio Marvel Moreno at 8:20 a.m. for a day full of insightful talks and exciting discussions. Click here to find out more details about the event, including the schedule and the speakers. We can’t wait to see you there!.

✔️ I’m happy to share with you my most recent publication in Tellus A: Dynamic Meteorology and Oceanography:

⌨️ Popov, AA, Sandu, A, Nino Ruiz, ED and Evensen, G. 2023. A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering. Tellus A: Dynamic Meteorology and Oceanography, 75(1): 159–171. DOI: https://doi.org/10.16993/tellusa.214 (Updated on April 11, 2023).

✔️ I’m happy to share with you my most recent publication in SoftwareX, Elsevier:

⌨️ Nino-Ruiz, E.D., & Consuegra Ortega (2023) AMLCS-DA: A data assimilation package in Python for Atmospheric General Circulation Models. SoftwareX, Elsevier, 1– 10. Available from: https://doi.org/10.1016/j.softx.2023.101374 (Updated on March 31, 2023).

✔️ I’m happy to share with you my most recent publication in Quarterly Journal of the Royal Meteorological Society:

⌨️ Nino-Ruiz, E.D., Consuegra Ortega, R.S. & Lucini, M.(2023) Ensemble based methods for leapfrog integration in the simplified parameterizations, primitive-equation dynamics model. Quarterly Journal of the Royal Meteorological Society, RMetS, 1– 15. Available from: https://doi.org/10.1002/qj.4424 (Updated on February 08, 2023).

✔️ I’m officially part of the Early Career Advisory Board for the Control Engineering Practice Journal, thanks to Elsevier for this opportunity! (Updated on April 20, 2022)

✔️ CV Elías D. Nino-Ruiz (Updated on February 08, 2023).

📒 Free online courses and educational content

📔 Data Assimilation (Graduate Course) - This online course on Data Assimilation has been designed to provide a comprehensive understanding of essential concepts and methods. The course is free and includes detailed notes and practical Python programs to help learners gain practical experience in implementing Data Assimilation methods in real-world scenarios. It is suitable for both beginners and those seeking to expand their knowledge in the field. Click here to go to this resource.

Awards

  1. Best Workshop Paper Award. A Surrogate Model Based On Mixtures Of Taylor Expansions For Trust Region Based Methods. ICCS - International Conference on Computational Science 2017, Zurich, Zwitserland, June 2017.

Some Good Memories

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September 18-20, 2019. First International Workshop on Data Assimilation for Decision Making, Barranquilla, Colombia.
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January 21-24, 2018. The 7th International Symposium on Data Assimilation (ISDA2019) at the RIKEN Center, Japan
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October 22-26, 2018. IMA program on Recent Advances in Machine Learning and Computational Methods for Geoscience, USA
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March 22, 2022. Supporting National Government in Misión de Sabios