Dr. Imiru Takele Daba boasts a rich educational journey, showcasing a progressive career in academia. As an Assistant Professor at Salale University since September 2021, he actively contributes to academic leadership and instruction, shaping the minds of future scholars 🎓. Prior to this, he served as a Researcher and Ph.D. Scholar in Applied Mathematics (Numerical Analysis) at Wollega University, Ethiopia, conducting advanced research from December 2017 to August 2021 🔍. His commitment to education is evident in his role as a Lecturer at Dilla University, Department of Mathematics, from March 2016 to December 2018, and as a Teacher at Ayele Secondary School, Guduru, Ethiopia, from September 2007 to March 2016, marking the beginnings of his impactful educational journey 📚. #Academia #Teaching #Research #Mathematics
Education :
Embarking on a scholarly pursuit, he earned his Ph.D. in Applied Mathematics (Numerical Analysis) from Wollega University, Ethiopia, demonstrating a commitment to advancing mathematical knowledge and analysis 🔍. Prior to this, he achieved an M.Sc. in Applied Mathematics (Numerical Analysis) at Haramaya University, Ethiopia, solidifying his expertise in the field 🎓. Dr. Daba’s educational foundation was laid with a Bachelor of Education Degree in Mathematics from Dire Dawa University, Ethiopia, setting the stage for his subsequent academic achievements and contributions to the realm of Applied Mathematics. 📚🔢
Research Focus :
Dr. Imiru Takele Daba’s extensive research spans the realm of computational neuroscience and applied mathematics, with a primary focus on singularly perturbed parabolic differential-difference equations. His groundbreaking work includes the development of robust computational methods for modeling neuronal variability and addressing challenges in convection-diffusion equations. Dr. Daba has contributed significantly to the field, proposing hybrid algorithms and novel numerical schemes for efficiently handling complex differential-difference problems. His research emphasizes numerical treatment and convergence methodologies, showcasing an innovative approach to solving singularly perturbed equations. 🧠🔢 His work finds applications in computational neuroscience, mathematical modeling, and numerical analysis.
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