Anjaly Ealias

Master thesis on "Detection of light spots using convolutional neural networks". The thesis focusses on how state-of-the-art detection algorithms can be adapted for detection of light spots that come under the category of small objects with not many distinct features.

- Research, design and implementation of different deep learning techniques for the detection of light sources in traffic scenarios. - Tools and Technologies used: Tensorflow, Keras, Python, MongoDB

Involved in the implementation and testing of signal processing algorithms for mm-wave beamforming systems.

o Involved in model-based development (using Matlab/Simulink) of combustion related functionalities. o Unit testing of the developed modules were also done. o Provide support in the development of toolchain for unit testing of autogenerated codes.

o Developed control algorithms to help the engine run smoother, quieter and more efficient. o Involved in software for single core and multicore processors in real-time operating systems. o Developed level-1 monitoring for safety critical functions in CRDI systems and good knowledge on ISO26262. o Involved in agile methodologies (like Kanban), ASPICE, DRBFM, and FMEA approaches in various projects. o Acted as a mentor and coordinate the activities of new associates in the team.

o Developed control algorithms to help the engine run smoother, quieter and more efficient. o Developed level-1 monitoring for safety critical functions in CRDI systems and good knowledge on ISO26262. o Worked in a multicultural and cross-functional team in both India and Germany (onsite). o Involved in different phases of SDLC including requirement analysis, design, software development and testing of various requirements in engine management systems.

o Developed a Face Detection and Recognition System that automatically identifies the person from a digital image or a video frame. o It cast recognition as a sparse representation problem, utilizing mathematical tools for compressed sensing and L1 minimization. o Tools and Technologies used: C++, OpenCV, Linux.

Embedded Systems, Embedded Software, RTOS, Compilers and Linkers, Computer System Architecture, Entrepreneurship for Engineers, Business Model Innovation.

Signal Processing, Control Systems, Microcontrollers and processors, digital and analog electronic circuits, digital and analog communication.