TADEWOS G. TADEWOS

adloyk@r.postjobfree.com, adloyk@r.postjobfree.com, 336-***-****

Education

Ph.D.: Electrical Engineering, North Carolina A & T State University, Greensboro, NC, USA June 2021 Research Area: Formal verification of autonomous multi-agent systems for safety Master of Science: Embedded Systems, Politecnico Di Torino, Torino, Piedmont, Italy March 2014 Research Area: Image-based crater identification on Mars surface Bachelor of Science: Electrical and Computer Engineering, Addis Ababa University, Ethiopia June 2009 Skills

Programming languages:

C, C++, VHDL, Python, MATLAB

Machine Learning: Deep learning for image

classification and object detection (YOLO, SSD)

Framework, Libraries, and Software:

TensorFlow, Pytorch, Matplotlib, NumPy, Scikit-learn, ROS Functional Safety:

Basics of functional safety analysis ISO 26262, FMEA Certification

Functional Safety with ISO 26262, March 2021

Content: an introduction to the basic techniques for specification, analysis, testing and proving the safety of system adhering to the standard ISO 26262

Self-Driving Car Engineer, Udacity, February 2021

Content: online program focusing on computer vision and deep learning algorithms for automotive problems, including detecting lane lines, predicting steering angles, and sensor fusion algorithm to generate a path to avoid obstacle. CANoe Fundamentals Workshop: Vector Academy, 2015

Content: Introduction to CANoe for CAN bus data measurement and analysis with emphasis on simulating ECUs with CANoe and the CAPL programming language.

Introduction to FMEA: SAE professional development program, February 2021 Content: An introductory course on what, why, when, and how to perform FMEA. Projects

Functional Safety

• Performed basic HARA, identified the ASIL level and modeled the system in MATLAB Simulink to automatically generate a safe car seat controller code for PSOC5 board (year: 2014, languages used: C, MATLAB).

• Implementation of time redundancy functional test for MINIMIPS by hardening the software code following rules like register mirroring (year: 2013, languages used: VHDL, C).

• Perform software safety analysis for an autonomous vehicle using Architectural Analysis and Description language (AADL) and SPIN (year 2019, languages used: AADL, PROMELA ). Auto Drive Challenge (GM sponsored student completion to implement L4 functionality for an autonomous vehicle):

• Team lead for the MATLAB Challenge. Responsible for generating a trajectory to guide the autonomous vehicle to a predefined destination while avoiding obstacles in a simulated M-city environment (year 2018 – present).

(https://www.youtube.com/watch?v=WCD_YMongBg&ab_channel=ACCESSLABORATORY).

• Awarded second place out of nine North American participating Universities at the University of Michigan Automated and Connected Car Test Site – M City (year 2019) System on Chip Design

• Implementation of a five-stage pipelined von Neuman 16-bit processer with two redundant DDS IP cores in lockstep (Xilinx DSP core to generate sine wave) that provides fault detection capabilities (year 2013, languages used: VHDL).

• Performed simulation, synthesis, and physical design of a synthesizable 32-bit multi-cycle pipelined DLX processor (year 2012, languages used: VHDL).

• Implementation of a computer vision algorithms for object detection on Jetson Nvidia tx1 board for 1/10 scale autonomous vehicle (year 2018, languages used: C++). Experience

Intern Researcher, General Motors, Warren, MI, USA, 06/2020 to 08/2020

• Responsible for implementing an algorithm to detect adversarial examples in a Blackbox setting for a state-of- the-art object detection network.

Research Assistance, North Carolina A&T State University, Greensboro, NC, USA, 08/2016 – present.

• Member of Autonomous Cooperative Control of Emergent Systems of Systems (ACCESS) Lab and Testing, Evaluation and Control of Heterogeneous Large-scale systems of Autonomous Vehicles (TECHLAV) Center focusing on coordination of multi-agents autonomy using behavior tree. Assistant Researcher, Thales Alenia Space, Torino, Italy, 01/2014 to 08/2016

• Simulation of 120 CANOPEN nodes using CANOE 8.0 for CAN bus standardization study in CABCOM project.

• Simulated, debugged, and synthesized a CCIPC (CANOPEN controller IP core) on Microsemi AX1000 FPGA in support of ExoMars 2020 ESA mission.

Assistance Lecturer, Mekelle University, Mekelle, Ethiopia, 09/2010 to 09/2011

• Delivered Introduction to C++ and Network Analysis & Synthesis courses.

• Assisting or directing students in the lab, writing lab manuals, and giving guidance to graduating students on their final year project.

Publications

• Tadewos G. Tadewos, Laya Shamgah, Ali Karimoddini, “Behavior Tree Based Decentralized Coordination of Autonomous Vehicles”, IEEE Transaction, Systems Man and Cybernetics, 2020 (submitted)

• Tadewos G. Tadewos, Laya Shamgah, Ali Karimoddini, “Automatic Safe Behavior Tree Synthesis for Autonomous Agents”, IEEE Conference on Control and Decision 2019

• Tadewos G. Tadewos, Laya Shamgah, Ali Karimoddini, “On the fly Tasking of Autonomous Vehicles”, IEEE Conference on Control and Decision 2019

Patent

High Electromagnetic Heating:

• ET/UM/2009/595 - High Frequency Electromagnetic Mitad, Addis Ababa University. Relevant Courses

• Computer Architectures, Embedded System Design Techniques, testing of semiconductor devices (DFT), Synthesis and Optimization of Digital Design, Microelectronics system, Model based software design

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