Elly Ogutu Isaya | Mechanical Engineering | Research Excellence Award

Mr. Elly Ogutu Isaya | Mechanical Engineering | Research Excellence Award

Budapest University of Technology and Economics | Hungary

Ogutu Isaya Elly is a mechanical engineering researcher and PhD candidate at the Géza Pattantyús-Ábrahám Doctoral School of Mechanical Sciences, Budapest University of Technology and Economics (BME), specializing in advanced manufacturing and micromachining. He earned a Master’s degree in Mechanical Engineering from Huazhong University of Science and Technology (HUST), China and a Bachelor’s degree in Mechanical Engineering from Jomo Kenyatta University of Agriculture and Technology (J.K.U.A.T), Kenya. His academic experience includes active participation in nationally funded Hungarian research projects focused on AI-based predictive modeling for machining quality and on transient deformation, thermal, and tribological phenomena in fine machining of high-hardness metals. His research interests center on micromachining processes, burr formation mechanisms, and the integration of machine learning within Industry 4.0 manufacturing frameworks. His recent work on burr-size prediction and optimization provides industry-ready solutions to reduce deburring costs and improve surface integrity. He is currently a nominee for the Best Research Article Award, reflecting the applied impact and relevance of his research to modern manufacturing systems.

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Featured Publications

Surface Quality Prediction by Machine Learning Methods and Process Parameter Optimization in Ultra-Precision Machining of AISI D2 Using CBN Tool
U.L. Adizue, A.D. Tura, E.O. Isaya, B.Z. Farkas, M. Takács,
The International Journal of Advanced Manufacturing Technology, 129(3), 1375–1389, 2023. (Citations: 34)


Analysis, Modelling, and Optimization of Force in Ultra-Precision Hard Turning of Cold Work Hardened Steel Using the CBN Tool
O.I. Elly, U.L. Adizue, A.D. Tura, B.Z. Farkas, M. Takács,
Journal of the Brazilian Society of Mechanical Sciences and Engineering, 46, 2024. (Citations: 8)


Optimization of Ultra-Precision CBN Turning of AISI D2 Using Hybrid GA-RSM and Taguchi-GRA Statistical Tools
A.D. Tura, E.O. Isaya, U.L. Adizue, B.Z. Farkas, M. Takács,
Heliyon, 10(11), 2024. (Citations: 5)


Feed Optimization Based on Force Modelling and TLBO Algorithm in Milling Al 7075
O.I. Elly, Y. Yin,
Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2024. (Citations: 2)


Burr Size Minimization Using a Surrogate Artificial Neural Network (ANN) Assisted Multi-Objective Genetic Algorithm (MOGA) in Micromilling Hardened AISI H13
O.I. Elly, M. Takács, B.Z. Balázs,
The International Journal of Advanced Manufacturing Technology, 2026. (In Press)