About Me

Hi, This is Kaleab, an AI enthusiast and a graduate student of BME Data Science at Johns Hopkins University. Before joining Hopkins, I graduated with a triple degree from the Erasmus Mundus Master's Joint Program in Image Processing and Computer Vision. I have worked as an Assistant Lecturer at Addis Ababa University, which is the top and largest university in Ethiopia. Next, I have worked as a Research Assistant at VPU Lab, Autonomous University of Madrid. I have also worked as a Research Associate at TU Graz Institute of Computer Graphics and Vision to do my master’s thesis on ‘Continual Lifelong learning on Autonomous Vehicles’ under the supervision of Prof. Horst Bischof.

My research interests are in Image Processing, Computer Vision, and Modern Machine Learning. I am most excited when working on pioneering research projects. I am fascinated by impactful research projects, but I am also keen to make contributions that advances the state of the art in machine learning and computer vision while being applicable to other research areas. Today, my journey has led me to my passion: to work on cutting edge applications of computer vision and machine learning in numerous application areas. I'm deeply interested in the fields of Computer Vision, Deep Learning, machine autonomy and product development.

I'm extremely enthusiastic about AI and its power to make our world a better place to live. I want to contribute my part on this captivating and wonderful scientific field working to solve the open problems in Computer Vision and Machine Learning so as to build autonomous systems that can "see" and reason.

Experience and Education

  Download Résume

  Social Media

  Programming Languages









  IPCV Coursework

Computer Vision
Machine Learning

Augmented Reality
Deep Learning

Probability & Statistical Inference


IT Management


Hopefully to be updated soon. :)

  Studied in



  • NeuroData, JHU

    Research Assistant

    Baltimore, MD

    • Working under the supervision of Prof. Joshua T. Vogelstein on a state-of-the-art framework called progressive learning that realizes backward and forward knowledge transfer by improving performance on both past and future tasks in a variety of simulated and real data scenarios in decision forests and deep networks.
  • TU Graz Institute of Computer Graphics and Vision

    Research Associate

    Graz, Austria

    • We investigated CNN based methods for the task of continual lifelong learning for autonomous vehicles learning problems, particularly monocular depth estimation.
  • The Cornell, Maryland, Max Planck Pre-doctoral Research School

    Emerging Research Trends in Computer Science

    Saarbrücken, Germany

    • Learnt about cutting-edge research in computer science including computer systems, heterogeneous architectures, machine learning and teaching, data visualization, security and privacy, formal methods, and programming language design.
    • Exposed to state-of-the-art research in computer science, have the opportunity to interact one-on-one with internationally leading scientists from three of the foremost academic institutions in research and higher learning in the US and in Europe
  • VPU Lab, Autonomous University of Madrid

    Research Intern

    Madrid, Spain

    • Worked on a tool for the automatic generation of ground-truth data for object detection of Google Street View images.
    • A multi-projection variant of YOLO detector for Equirectangular Panorama, specifically Google Street View images.
  • Pázmány Péter Catholic University, Hungary

    MSc in Computer Science Engineering, Honours

  • Autonomous University of Madrid, Spain

    MSc in Image Processing and Computer Vision, Honours

  • University of Bordeaux, France

    MSc in Computer Science, mention très bien

  • Addis Ababa University, Ethiopia

    Assistant Lecturer

    Addis Ababa, Ethiopia

    • Develop own teaching materials, methods and approaches taking into account established or agreed practices where necessary.
    • Set and mark assignments and set examination questions as well as assessing the work and progress of students by reference to defined criteria and provide constructive feedback to students.
    • Supervise student projects under guidance and supervision.
  • Addis Ababa University, Ethiopia

    BSc in Computer Science, Very Great Distinction

    Bachelor's Thesis Title: ’An Autonomous Traffic Management System’



Multi-task learning of Monocular Depth Estimation and Segmentation from Video

3D Shape Prediction from Single RGB Image using Deep Learning

Ground-truth generation for Google Street View images

Ethiopian Sign Language to Amharic Text Translator

Automated Optical Mark Reader

Intelligent Traffic Management System

Multiple Object Recognition using Deep Learning

Abugida: Educational App for Preschoolers

Face Recognition | Body Tracking


Currently studying BME Data Science @ Johns Hopkins University!

The IPCV Family at UAM, Spain, 2019!
@The Cornell, Maryland, Max Planck Pre-doctoral Research School, 2019!