Emmanuel Adeyefa | Theoretical Physics | Member

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Assoc Prof Dr. Emmanuel Adeyefa | Theoretical Physics | Member

PHD at University of Ilorin, Nigeria

Dr. Emmanuel Oluseye Adeyefa is a distinguished mathematician and academic leader from Nigeria. With a Ph.D. in Mathematics from the University of Ilorin, he currently serves as a Reader at the Department of Mathematics, Federal University Oye-Ekiti. His administrative roles include acting as Head of Department and Postgraduate Coordinator. With a passion for teaching, he has instructed various courses and supervised numerous undergraduate and postgraduate projects. A committed scholar, he actively participates in conferences and workshops, contributing to advancements in mathematics and cryptography. Beyond academia, he engages in community service and enjoys activities such as reading, football, and music.

Professional Profiles:

Education

Ph.D. in Mathematics, University of Ilorin, 2014 M.Sc. in Mathematics, University of Ilorin, 2007 B.Sc. in Mathematics, University of Ilorin, 2003 PGD in Education, Obafemi Awolowo University, 2014

Administrative Experience

Acting Head, Department of Mathematics Postgraduate Coordinator University Examination Committee Member Level Adviser/Coordinator Departmental Seminar Coordinator Staff Secretary Various Committee Memberships and Chairmanships. Federal University Wukari, Taraba State Oduduwa University, Osun State Southern Institute of Innovative Technology (SNIIT Polytechnic), Osun State

Teaching Experience

Various courses in Mathematics including Linear Algebra, Mathematical Packages, Vector and Tensor Analysis, Real Analysis, Mathematical Methods, Analytical Dynamics, Fluid Dynamics, and Numerical Analysis.

Awards

Recipient of various awards including Departmental Best Graduating Student and Best Lecturer of the year.

Research Focus:

Dr. Emmanuel Oluseye Adeyefa’s research focus primarily revolves around the development and application of advanced numerical methods for solving various classes of ordinary and partial differential equations. His work spans topics such as direct integration methods, orthogonal basis function formulations, hybrid block methods, and collocation approaches. Additionally, he explores the use of polynomial and orthogonal basis functions, particularly Chebyshev polynomials, in continuous formulations of numerical solvers. Adeyefa’s contributions bridge mathematical theory with practical applications, showcasing his expertise in computational mathematics and algorithm development, with potential applications in cryptography and queueing systems.

Publications

  1. Error estimation of the integral tau method for fourth order overdetermined ODES, Publication: 2023.
  2. Integral tau Method for Certain Over-determined Fourth-Order Ordinary Differential Equations., Publication: 2023.
  3. A Generalized Series Solution of š¯’¸š¯’•š¯’‰ Order Ordinary Differential Equations, Publication: 2023.
  4. Improved 2-Point Hybrid Block Model for Direct Integration of Third and Fourth-Order Initial Value Problems, Publication: 2023.
  5. Algebraic characterization of Ifa main divination codes, Publication: 2023.
  6. Ninth-order Multistep Collocation Formulas for Solving Models of PDEs Arising in Fluid Dynamics: Design and Implementation Strategies, Publication: 2023.
  7. Hybrid block methods with constructed orthogonal basis for solution of third-order ordinary differential equations, Publication: 2023.
  8. A continuous five-step implicit block unification method for numerical solution of second-order elliptic partial differential equations,Ā Publication: 2023.
  9. Implicit hybrid block methods for solving second, third and fourth orders ordinary differential equations directly, Publication: 2022.
  10. New developed numerical formula for solution of first and higher order ordinary differential equations, Publication: 2022.
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Quantum Computing

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Introduction to Quantum Computing:

Quantum computing is a groundbreaking field at the intersection of physics and computer science that harnesses the principles of quantum mechanics to perform computations that were previously considered infeasible by classical computers. Unlike classical bits, which are binary (0 or 1), quantum bits or qubits can exist in multiple states simultaneously due to superposition, enabling quantum computers to solve complex problems exponentially faster. This emerging technology holds immense promise for revolutionizing industries such as cryptography, drug discovery, and optimization.

Quantum Algorithms:

Explore the development of quantum algorithms, including Shor's algorithm for factoring large numbers and Grover's algorithm for searching unsorted databases, which demonstrate the potential quantum advantage.

Quantum Hardware and Qubit Technologies:

Investigate the various physical implementations of qubits, including superconducting circuits, trapped ions, and topological qubits, and their challenges and advantages in quantum computing systems.

Quantum Cryptography:

Delve into quantum cryptography protocols, such as quantum key distribution (QKD), which leverage the unique properties of quantum states to provide ultra-secure communication channels.

Quantum Machine Learning:

Focus on the intersection of quantum computing and machine learning, where quantum algorithms promise to accelerate tasks like optimization, pattern recognition, and data analysis.

Quantum Error Correction:

Examine the critical area of quantum error correction, which seeks to mitigate the effects of qubit errors and maintain the integrity of quantum computations, a fundamental challenge in quantum computing.

 

 

 

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