Dr. Ahmet Dogukan Keles

Participating in an ERC Project, "qMOTION", aiming to use quantum technologies for decoding neuromuscular control during movement. Key Achievement: * The development of the Phantom Fiber to mimic the action potential propagation within a muscle fiber * The development of MMG signal processing algorithms for future implementations.

Oversaw the development and software solutions for Military Applications by working in the Biodefense Technologies Research Directorate under the R&D Management Assistant General Manager. Key Achievements: * Led the biomechatronic team in researching biomechatronic applications for military use, projecting new R&D ideas, and management. * Streamlined and supervised deep and machine learning algorithms for human motion classification and lower limb joint motion prediction.

LiveWell A.Ş. a subsidiary of Softtech A.Ş. The project regarding the development of the healthcare platform was continued. Key Achievements: * The development of an ECG analysis algorithm to detect heartbeats and arrhythmias to capture abnormalities. * The development of ECG-API to analyze the ECG signals recorded over the Desktop Application and Web Application within the Livewell Health Platform and to report the outputs. * Obtaining the CE certificate of ECG-API for the commercialization phase.

The development of the LiveWell Healthcare Platform thatprovides doctors to be informed about their patient's current health conditions. A holter device and web/mobile/desktop-based interfaces were developed within this framework.

The development of an improved EMG-controlled powered upper limb prosthesis that could perform eight different tasks. Key Achievements: * Assisting the incorporation of biomechanical needs and their mechanical applications in the prosthesis' mechanical design * The development of EMG-based algorithms to classify intended task * The development of controllers for the bionic hand to move mechanically

I applied to a techno-entrepreneurship capital support program and was approved to receive support as an entrepreneur to build an upper limb rehabilitation robot that offered passive and active exercises to aid patients in regaining the functionality of damaged upper limb muscles. Key Achievements: * Leading a team of software and hardware engineers. * The designing of a 2-DOF SCARA-type robot manipulator. * The development of an impedance controller * The development of the user interface

Thesis: sEMG-based ankle position and moment prediction in silico: neural network approach and muscle selection

Thesis: Developing an underlying motion planning algorithm for myoelectric controlled robotic leg prostheses based on gait analysis.

Thesis: The development of the two degrees of freedom upper limb rehabilitation robot.