Position: Lecturer, Academic Researcher, & Course Chair (Electro Mechanical Department)
        Office: Agri BDG 203

        Email: tsedal.mequanent@bdu.edu.et
        Phone: +251939414243

        Education:
               ✓ M.S., in Electro Mechanical Engineering, at Bahir Dar Institute of Technology
               ✓ BSc., in Mechanical Engineering at Bahir Dar Institute of Technology.
       Courses:
             ✓ Computer Vision, Embedded Systems, Robotics, Advanced Power Electronics, Industrial
                 Automation, and Advanced Control Systems,
           ✓ Applied Mathematics, Numerical Methods for Engineers, Engineering Materials,
               Engineering Mechanics, Product Design & Development, Engineering Drawing, Fluid
               Mechanics, Vibration, Heat Transfer, Strength of Materials, Design of Machine Elements,
               Electrical Circuits, and Electrical Machines.
     Research:
          ✓ “Additive Manufacturing Defect Detection Using Deep Learning”: Employed Deep
              Learning techniques to develop a defect detection model for 3D printing processes.
              Trained the model using the collected datasets to classify defects in printed parts.

    Professional Experience:
         ✓ Taught undergraduate student electromechanical courses like Embedded Systems and
             Digital Control, Industrial Process Control, and Instrumentation & Measurement.
          ✓ Internship and thesis advising, administrative duties, invigilating examinations.
          ✓ Organize and prepare holistic examination for undergraduates as a holistic committee.
    Conference:
        ✓ Certified at the 9th International Conference on the Advancements of Science and
           Technology 2021 for two projects called EMG based Bionic Hand and Automatic Bottle filling.
   Research Interests:
        ✓ Bio- Inspired Soft Robotics and Humanoid Robotics
        ✓ Smart/ Advanced Manufacturing, and Additive Manufacturing
        ✓ Computer Vision (Image processing and Image Analysis), Machine Learning (Model Development and Prediction), and Data Driven Decisions.
   Honors & Awards:
       ✓ One of the three top scorers among 2021 B.Sc. graduates in the Faculty of Mechanical and Industrial Engineering (3.87/4).
       ✓ Discipline Committee at Bahir Dar University in the year 2020/2021.
       ✓ One of the three top scorers among 2024 MSc. graduates in the Faculty of Mechanical and Industrial Engineering (3.9/4).
   Training:
       ✓ Classical machine learning, and deep learning with Keras.
       ✓ Supervised learning and unsupervised learning with python.
      ✓ Data analysis (from Data Cleaning to Data Visualization)
      ✓ Digital manufacturing device (3D printer, CNC, Laser) at Seifu Makerspace.
      ✓ Sustainable entrepreneurship international winter school at the Technical University of Munich.
Tools Used: Python, Arduino IDE, PIC, 8051, PLC, MATLAB, Proteus Profession, SolidWorks, ANSYS, SQL, Excel, Google Sheets, and Tableau.
Projects:
      ✓ A Delta 3D Printer: Design, manufacture, assemble Delta 3D printer components, and configure firmware.
      ✓ An EMG-based Bionic Hand: Ergonomically optimized finger structure designs and 3D printed for precision. Integrated                         motors for each finger, enabling precise, independent movement via Arduino control. Extensively tested and iterated to                   optimize motor performance and overall functionality of the bionic hand.
     ✓ Arduino-based Line Following Robot: Integrated infrared sensors and stepper motors with Arduino. Implemented a                             feedback control system to enable autonomous line tracking.
     ✓ An Automatic Filling Machine- It was designed in SolidWorks, manufactured using locally sourced materials with 3D                             printing and laser cutting machine, and automated with Arduino, a flow meter sensor, and a stepper motor.
    ✓  Heart Attack Prediction: Conducted univariate and bivariate Exploratory Data Analysis and forecasting using SVM, Random                    Forest, and Decision Tree models to identify individuals at risk of a heart attack using data from Kaggle.
     ✓  Miles Per Gallon: Conducted full Exploratory Data Analysis and forecasting the fuel efficiency using Linear Regression.
     ✓  Web Scraping: Extracted tabular data of companies in the world by their revenue from Wikipedia.
     ✓ A/B Testing: Implemented an A/B testing for an e-commerce company.