- Leading the Predictive Maintenance module of Kavaken (https://www.kavaken.com)- Project management (Teydeb 3200569, Teydeb 9210054)- Customer relations (Borusan EnBW, Eksim, Erciyas)

• Latest project: Giving consultancy a company from the UK which is a contractor for an autonomous vehicle project (Python programming). Involved in many projects which requires field data collection, data cleansing, feature extraction/selection/reduction, predictive analytics, forecasting, diagnostics, prognostics, optimisation and data visualisation from different engineering fields.

• Responsibility of managing the international business development department of the company• Identifying business opportunities, generating international leads in the sectors of predictive maintenance and condition monitoring• Appointing distributors / resellers to sell and servicing of the company's condition monitoring products over the globe (Appointed over 20 distributors since 2016)• Conducting technical and business trainings, supervising distributors in their product… Show more • Responsibility of managing the international business development department of the company• Identifying business opportunities, generating international leads in the sectors of predictive maintenance and condition monitoring• Appointing distributors / resellers to sell and servicing of the company's condition monitoring products over the globe (Appointed over 20 distributors since 2016)• Conducting technical and business trainings, supervising distributors in their product launches and customer visits for technology demos• Delivering new ideas to the R&D team Show less

• Responsibility in the simulation and testing of the environmental control system (ECS) of a specific passenger aircraft• Project budget: £1,500,000• Funded by IVHM's industrial consortium, consisting of multiple companies including Boeing and BAE Systems• Used Tools: MatLab, Simulink, SimScape, Easy5

• Responsibility of developing a novel hybrid prognostics model to predict failure of engineering components• A novel accelerated aging test rig was built to generate filter clogging time series data• Project budget: £150,000• Funded by IVHM's industrial consortium, consisting of multiple companies including Boeing and Rolls RoyceDeveloped a novel hybrid prognostic methodology, integrating physics-based and data-driven prognostic models, to enhance the prognostic accuracy… Show more • Responsibility of developing a novel hybrid prognostics model to predict failure of engineering components• A novel accelerated aging test rig was built to generate filter clogging time series data• Project budget: £150,000• Funded by IVHM's industrial consortium, consisting of multiple companies including Boeing and Rolls RoyceDeveloped a novel hybrid prognostic methodology, integrating physics-based and data-driven prognostic models, to enhance the prognostic accuracy, robustness, and applicability. The hybrid prognostic methodology has been applied on specific components of two different engineering systems, one which represents accelerated, and the other a nominal degradation process. An experimental rig has been developed to investigate the accelerated clogging phenomena whereas the publicly available Virkler fatigue crack propagation dataset is chosen after an extensive literature search and dataset analysis. The filter clogging experimental rig is designed to obtain reproducible filter clogging data under different operational profiles. This data is thought to be a good benchmark dataset for prognostic models. Show less

• Responsibility in the development of failure prognostics and maintenance planning system for point mechanisms in railways• Budget: $100,000• Funded by TUBITAK (The Scientific and Technological Research Council of Turkey)