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 ๐. 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 ๐. 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 ๐. #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 ๐. Prior to this, he achieved an M.Sc. in Applied Mathematics (Numerical Analysis) at Haramaya University, Ethiopia, solidifying his expertise in the field ๐. 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. ๐๐ข
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. ๐ง ๐ข His work finds applications in computational neuroscience, mathematical modeling, and numerical analysis.
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