•Thesis: Deep Convolutional Neural Network Based Object Detection Inference Acceleration Using FPGA•Short summary: Researched and published findings on generic object detection inference acceleration, synthetic image generation for object detection and hardware acceleration of CNN on FPGA

•Used different teaching modalities and taught FPGA and VHDL, Embedded Systems, and Electronics to class of 10-15 students of Master 1 and Master 2 program

-Directed and led an institute of 10 engineering and science schools with a total of above 10000students and over 500 academic and administrative staff

• Taught courses such as Advanced Operating Systems, Microcomputers, and Interfacing,Embedded System, Computer Architecture, Object Oriented Programming in Electrical andComputer Engineering Department• Advised graduate students in choosing impactful project topics and succeeding withmeasurable deliverables

-Headed Electrical and Computer Engineering department, a department of four undergraduate programs, over 2000 students, and over 50 academic staff-Conceptualized, and led the inception and inauguration of state-of-the-art embedded systems research center in collaboration with KU Leuven University of Belgium-Implemented teaching laboratory restructuring and in turn increased the department's laboratories from only four to nine fully equipped and well-organized laboratories

-With a team of software developers studied customer requirements and prepared the Requirement Analysis Documents (RAD), and System Design Documents (SDD)-Designed, developed, and deployed web and desktop applications for the Ethiopian federal governmentsecurity agency