Solomon Negussie TESEMA
Jouy-en-Josas
Summary
Organized and dependable candidate with experience in computer vision and hardware acceleration supplemented with above ten years of teaching and leadership in university positions. Always willing and ready to take additional responsibilities and accomplish tasks with significant added value.
Overview
13
13
years of professional experience
Work History
University Instructor
Université de Bourgogne
Dijon
09.2019 - 08.2022
- Taught three courses, namely, FPGA and VHDL, Embedded Systems, Practicals in Electronics to a class of 10-15 students of Masters 1 and 2 program
- Used variety of learning modalities and support materials to facilitate learning process and accentuate presentations.
University Instructor
Dire Dawa University
Dire Dawa
09.2010 - 02.2018
- Taught courses such as Advanced Operating System, Microcomputers and Interfacing, Embedded System, Computer Architecture, Object Oriented Programming Using Java at Electrical and Computer Engineering Department
Software Engineer
Information Network Security Agency, INSA
Addis Ababa
04.2012 - 12.2014
- With software development team studied customer requirement, prepared Requirement Analysis Document(RAD), System Design Documents(SDD), designed, developed and deployed web application and desktop applications for Ethiopian federal government security agency
Education
Ph.D. - Instrumentation And Image Computing
Université De Bourgogne
Dijon, France09.2022
Master of Science - Computer Engineering
Addis Ababa University
Addis Ababa, Ethiopia07.2014
Bachelor of Science - Electrical Engineering
Arba Minch University
Arba Minch, Ethiopia07.2010
Skills
- Python programming
- Computer Vision/Object Detection
- Image Processing and Segmentation
- OpenCV, TensorFlow, PyTorch and Keras
- Software and hardware development
- VHDL and HLS
Publications
- Solomon Negussie Tesema and El-Bay Bourennane. “Resource- and Power-Efficient High- Performance Object Detection Inference Acceleration Using FPGA”. In: Electronics 11.12 (2022). ISSN: 2079-9292. DOI: 10.3390/electronics11121827.
- Solomon Negussie Tesema and El-Bay Bourennane. “DenseYOLO: Yet Faster, Lighter and More Accurate YOLO”. In: IEEE. 2020, pp. 0534–0539. DOI: 10 . 1109 / iemcon51383 . 2020.9284923.
- Solomon Negussie Tesema and El-Bay Bourennane. “Towards General Purpose Object De- tection: Deep Dense Grid Based Object Detection”. In: IEEE. 2020, pp. 227–232. DOI: 10. 1109/iit50501.2020.9299036.
- Solomon Negussie Tesema and El-Bay Bourennane. “Multi-Grid Redundant Bounding Box Annotation for Accurate Object Detection”. In: IEEE. 2021, pp. 145–152. DOI: 10.1109/ dasc-picom-cbdcom-cyberscitech52372.2021.00036.
Languages
English
Advanced (C1)
French
Elementary (A2)
References
- Professor El-Bay Bourennane, ebourenn@u-bourgogne.fr, Université de Bourgogne, 21000 Dijon, France
- Professor Toufik Bakir, toufik.bakir@u-bourgogne.fr, Université de Bourgogne, 21000 Dijon, France
Timeline
University Instructor
Université de Bourgogne
09.2019 - 08.2022
Software Engineer
Information Network Security Agency, INSA
04.2012 - 12.2014
University Instructor
Dire Dawa University
09.2010 - 02.2018
Ph.D. - Instrumentation And Image Computing
Université De Bourgogne
Master of Science - Computer Engineering
Addis Ababa University
Bachelor of Science - Electrical Engineering
Arba Minch University
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