Dr. Olumuyiwa Otegbeye | Numerical Methods | Best Researcher Award

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Dr. Olumuyiwa Otegbeye | Numerical Methods | Best Researcher Award

Dr. Olumuyiwa Otegbeye, University of the Witwatersrand, South Africa

Dr. Olumuyiwa Otegbeye is a dedicated academic with a rich background in applied mathematics. He earned his Ph.D. in Applied Mathematics from the University of KwaZulu-Natal, where he also completed his M.Sc. and B.Sc. Hons. degrees, and holds a B.Sc. Hons. in Pure and Applied Mathematics from Bowen University. Dr. Otegbeye has served as a Lecturer at the University of the Witwatersrand, Johannesburg, and held postdoctoral and teaching positions at the University of KwaZulu-Natal. His early career included teaching mathematics at Nigeria Defence Academy Primary School. He boasts an H-Index of 7 on Google Scholar, 6 on Scopus, and 4 on Web of Science, reflecting his significant scholarly impact. Additionally, Dr. Otegbeye contributes as a reviewer for prominent journals such as Mathematics (MDPI), Axioms, International Journal of Modern Physics B, and Mathematics and Computers in Simulation.

🌍 Professional Profile

Orcid
Scopus
Google Schalor

Suitability for Best Researcher Award:

Dr. Olumuyiwa Otegbeye is a strong candidate for the Best Researcher Award due to his comprehensive achievements in applied mathematics, evidenced by his research impact, teaching roles, and contributions to postgraduate supervision. His active participation in academic communities and his notable bibliometric performance further affirm his qualifications for this recognition.

🎓 Academic Qualifications:

Dr. Otegbeye earned his Ph.D. in Applied Mathematics from the University of KwaZulu-Natal, following an M.Sc. and B.Sc. Hons. in Applied Mathematics from the same institution. He also holds a B.Sc. Hons. in Pure and Applied Mathematics from Bowen University.

🌍 Ratings and Citations:

His scholarly impact is notable, with an H-Index of 7 on Google Scholar, 6 on Scopus, and 4 on Web of Science, along with significant citations across these platforms.

📈 Reviewer Experience:

Dr. Otegbeye reviews for prominent journals including Mathematics (MDPI Publishing House), Axioms, International Journal of Modern Physics B, and Mathematics and Computers in Simulation.

📚 Current and Previous Positions:

Dr. Olumuyiwa Otegbeye has held several academic roles, including Lecturer at the University of the Witwatersrand, Johannesburg, from January 2021 to March 2024. Prior to this, he was a Postdoctoral Fellow at the University of KwaZulu-Natal (May 2019 – December 2020) and served as an Adhoc Mathematics Lecturer and Demonstrator/Tutor at the same institution. He began his academic career as a Mathematics Teacher at Nigeria Defence Academy Primary School.

Publication Top Notes:

  • Title: Magnetohydrodynamic Bio-Convective Casson Nanofluid Flow: A Numerical Simulation by Paired Quasilinearisation
    • Cited by: 33
    • Year: 2020
  • Title: A Machine Learning Solution Framework for Combatting COVID-19 in Smart Cities from Multiple Dimensions
    • Cited by: 32
    • Year: 2020
  • Title: A Novel Smart City-Based Framework on Perspectives for Application of Machine Learning in Combating COVID-19
    • Cited by: 29
    • Year: 2021
  • Title: A Paired Quasi-Linearization on Magnetohydrodynamic Flow and Heat Transfer of Casson Nanofluid with Hall Effects
    • Cited by: 20
    • Year: 2019
  • Title: Wind Energy Resource Assessment in South Western of Algeria
    • Cited by: 19
    • Year: 2019

 

 

 

Mr. Hector Ferrada | Algoritmos de Optimizacion | Excellence in Research

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Mr. Hector Ferrada | Algoritmos de Optimizacion | Excellence in Research

Mr. Hector Ferrada, Universidad Austral de Chile, Chile

Mr. Hector Ferrada is a researcher at Universidad Austral de Chile, specializing in Computer Science. He completed his Ph.D. at Universidad de Chile, focusing on Compressed Indexes for Document Retrieval under the supervision of Gonzalo Navarro, Ph.D. Mr. Ferrada has professional experience in genome-scale algorithmics from an internship at the University of Helsinki, Finland. His research interests include algorithms design, data structures, compression techniques, High Performance Computing (HPC), and compact data structures for big data applications. He currently leads the ANID’s Fondecyt Iniciación 2022 project on Algorithms Optimization and Digital Carbon Footprint Reduction, and contributes as a Co-Investigator on GPU technologies for simulations and meshing algorithms for polygons and polyhedrons.

🌐 Professional Profile:

Orcid

🎓 Education:

Ph.D. in Computer Science from Universidad de Chile, Santiago, Chile (2010-2016). Thesis on Compressed Indexes for Document Retrieval under the supervision of Gonzalo Navarro, Ph.D.

👨‍💼 Professional Experience:

Internship at the Department of Computer Science, University of Helsinki, Finland (2013), focusing on genome-scale algorithmics under Veli Mäkinen, Ph.D.

🔍 Research Interests:

Specializes in design and analysis of algorithms, data structures, compression techniques, High Performance Computing (HPC), and compact data structures for big data applications.

🔬 Research Projects:

Currently serves as Principal Investigator for ANID’s Fondecyt Iniciación 2022 project on Algorithms Optimization and Digital Carbon Footprint Reduction. Co-Investigator on projects combining GPU technologies for simulations and developing meshing algorithms for polygons and polyhedrons.

Publication Top Notes:

  • Title: Accelerating range minimum queries with ray tracing cores
    • Journal: Future Generation Computer Systems
    • Year: 2024
  • Title: A succinct and approximate greedy algorithm for the Minimum Set Cover Problem
    • Journal: Journal of Computational Science
    • Year: 2024
  • Title: An evaluation of GPU filters for accelerating the 2D convex hull
    • Journal: Journal of Parallel and Distributed Computing
    • Year: 2024
  • Title: A sorting algorithm based on ordered block insertions
    • Journal: Journal of Computational Science
    • Year: 2022