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)

Bebetebe Fetimi | Energy and Sustainability | Research Excellence Award

Mr. Bebetebe Fetimi | Energy and Sustainability | Research Excellence Award

University of Strathclyde | United Kingdom

Mr. Bebetebe Fetimi marine engineering professional and early-career researcher with expertise in marine reliability engineering, human and equipment reliability, and safety-critical maritime systems. He holds a First Class B.Sc. in Marine Engineering and formal qualifications in safety and risk management, supported by advanced professional training in tanker operations, high-voltage systems, ship security, and international maritime regulations. His professional experience spans offshore oil and gas operations, shipyard HSEQ management, and dynamic positioning vessels, where he has contributed to machinery maintenance, safety audits, incident investigation, ISM compliance, and operational risk control. Currently engaged in doctoral-level research in marine reliability engineering, his research interests focus on human reliability assessment, alternative fuel ship propulsion safety, maritime risk modeling, and the application of structured methods such as HEART, CREAM, and root cause analysis to improve system resilience. His scholarly output reflects a developing research profile with h-index: 1, documents: 2, and citations: 10 (current records), demonstrating growing academic impact alongside strong industry relevance. He has been recognized for safety leadership, operational excellence, and analytical problem-solving within multidisciplinary teams. Overall, his profile represents a balanced integration of applied engineering practice and research-driven insight aimed at advancing reliability, sustainability, and risk-informed decision-making in modern maritime and offshore engineering.


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Featured Publications


Scissors Approach in Human and Equipment Reliability vis-à-vis the Use of Alternative Fuel in Ship Propulsion

Maritime Safety & Reliability Engineering · Alternative Fuel Ship Propulsion