Amr Eltelt

- Improvement of the forecasted power production of Axpo wind farm in Leipiö, based on tur-bine and weather datasets, for energy trading optimization - Novice double stage deep neural network model for the estimation of Human 3D joint pose from 2D image (Applied research). Paper - Heart rhythm classification from electrocardiogram time-series data. Github - Natural language Story Close Test, applying sentence embedding and deep network to select story ending based on sentences. Github

- Lead and drive cross-functional teams to apply Agile Scrum methodologies in project execution - Lead project execution of the control software and hardware integration of steam turbine - Define project milestones, ensure timely improvements, and collaborate closely with functional engineering teams and costumer - Conduct gas turbine field tests, analyze complex generated data, and tune process control parameters to optimize the nonlinear dynamics to ensure stable and efficient operation

- Digitalization expert in integration of instrument and electrification system into industrial auto-mation and an active committee member in key Eight Disciplines of Problem Solving (8D) - Member in core-control development team of strategic gas turbine New Product Introduction (NPI) projects. Developing software tools for embedding state estimation model into controller - Develop and manage the R&D standard controls library for Alstom gas turbine fleet

- Investigate engineering workflow for the integration of electrical substation and process automation systems based on the digital IEC 61850 standard - Created software and hardware prototype demonstrated in ABB DECRC Automation Forum 2012 - Developed a Human-computer interaction metric to model and evaluate usability workflow - Data analysis of engineering workflow and tools and comparison of performances

- Design and implement the process control software of green field and retrofit projects for industrial applications: Metal, Sugar, Pulp & paper, Petrochemical, and Oil & Gas - Design the DCS industrial automation architecture and hardware components - Coordinate and execute service plans and provide field support

Supervised and unsupervised machine learning techniques, Deep learning, Machine Perception, Natural Language Understanding, Reinforcement Learning, Bayesian Networks, Probabilistic Artificial Intelligence, System Identification, Big Data technologies, Machine learning applications in medical sector

Advanced Control, Signal Processing, Intelligent Systems, Microprocessor based systems, Project Management, Business in Engineering, Integrated Management Thesis Project: Enhanced Integration of Process and Power Automation based on IEC 61850 Standard

Concentration: Electrical Power and Machines, Thesis Title: “Design and control of Autonomous and Hybrid Robots for robotics competition”