semihBio = md`# Semih Korkmaz
_neural nets, anyone?_
## About
Semih has almost a decade of experience designing and developing machine learning solutions including recommendation engines for Vodafone Mobile TV systems and Industry 4.0 applications such as reinforcement learning models for assembly tasks at Arcelik/Beko. His edge analytics projects on Siemens Systems have become accepted as a ML model deployment strategy at several manufacturing locations. Formerly, Semih was a lecturer at [German Research Center for Artificial Intelligence (DFKI)](https://www.dfki.de/web/), and a researcher [Max Planck Institute for Informatics](https://www.mpi-inf.mpg.de/home). His works include multiple publications in Computer Vision and Machine Learning domain.
## Interests
- not bees
- fried chicken
- turkish breakfasts
## Publications
- Training a Robotic Hand to Grasp Using Reinforcement Learning, DIGITAL TRANSFORMATION & SMART SYSTEMS, Ankara, Turkey, 2018
- Effect of resource limitation on robotic imitation:predictions for infant imitation learning, The 8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Tokio, Japan, 2018
- Classification of selective attention to auditory stimuli in amplitude and instantaneous
phase domain, 25th Annual Computational Neuroscience Meeting, Jeju, South Korea,
July, 2016
- [Sensing Image Retrieval using Morphological Texture Descriptors, 21.IEEE Signal
Processing and Communications Applications, April 2013.](https://ieeexplore.ieee.org/document/6531225/authors#authors)
- [Extended Morphological Covariance, 20. IEEE Signal Processing and Communications Applications, April 2012.](https://ieeexplore.ieee.org/document/6204455)
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