About me

Walelign is an AI researcher who completed his PhD in Applied Computer Science at the University of Miskolc, Hungary. His research focuses on AI-based solutions in areas such as NLP, healthcare, and education. In parallel with his studies, he has won three international grants, all of which he completed successfully. He is highly interested in AI research and innovation, with an active research project on AI-based solutions in healthcare and education. He also has experience in mentoring, business plan writing, and consulting.

NLP Researcher

90%

AI-Based Solution Developer

90%

Business Consultant

90%

Project Manager

85%

Grant Projects and Awards

2024

2023 
  • Principal Investigator (PI), "Multilingual Neural Machine Translation for Low-Resource Languages with Gender Bias Detection and Mitigation a sub-grant, funded by members of the consortium (IPAR, CSEA, and Sunbird).Link: https://grain-africa.org 
2022
  • Principal Investigator (PI),"Design and Development of Mobile-based Amharic TTS System" funded by IDRC, AI4D.(Link: https://eduaihub.org/) https://africa.ai4d.ai 
2018
  • Project member, Student Information Management System (SIMS), funded by Debre Markos University. 
2017
  • Co-Principal Investigator (Co-PI), Designing Machine Learning Method for Software Project Effort Prediction, funded by Debre Markos University. https://www.dmu.edu.et 

Seminar and Workshops

Events
  • GRAIN Project details:

2024 

  • Award: Best Paper Award Event: The First Workshop on Applying LLMs in LMICs for Health-care Solutions, under IEEE International Conference on Healthcare Informatics (ICHI 2024). Location: Florida, USA Source: all4health.
2022
  • Award: Best Talk of the Session Event: The 13th Conference of PhD Students in Computer Science Location: Szeged, Hungary Source: u-szeged. hu

Student Advising

  1. M.Sc Thesis: Developing a Gender Bias Detection and Mitigation Model for Machine Translation in Low-Resource Languages. Department: Department of Software Engineering, Addis AASTU, Ethiopia Student: Gashaw Kidanu Status: Co-Advisor Ongoing
  2. M.Sc Thesis: Development of Chatbot-Based Human-Machine Interface for Logistics Process, Computer Science and Engineering Program. University: University of Miskolc, Hungary Student: Mohammad Al-Soudani Status: Completed Thesis Link: midra.uni-miskolc.hu (2021) 

Completed Project

1. Amharic Text to Speech

Write any Amharic text and choose the Female model to test

http://196.189.151.92:5000/

Project Call

Call for MSc and PhD Candidates for Thesis Work


We are currently seeking highly motivated individuals with sufficient knowledge in Deep Learning (DL) and Natural Language Processing (NLP) who want to do their thesis work in the following areas:                                                                                           

  1. Detection and Mitigation of Technology-facilitated Gender-based Violence in an Era of Generative AI
  2.  Development of Gender Bias Evaluation Tools in Machine Translation for Low-Resource Languages
  3. Implementing English-to-Amharic Speech-to-Speech Systems for Enhanced Accessibility                                    

If you are interested in these topics and are ready to undertake a challenging research project, please follow the link below to express your interest: 

https://forms.gle/tw3fCZYcw7TsdeBu7              

Events and Trips

15 November 2024

A Seminar Presentation on The Establishment of Debre Markos AI Lab

  1. Prepared by:
    1. Walelign Tewabe (Ph.D.), Department of Information Technology, DMU
  2. Sintayehu Adefires (Ph.D.), Department of Hydraulic and Water Resources Engineering, DMU 
  3. Girma Kassa (M.Sc.), Department of Electrical and Computer Engineering, DMU

    Date: Friday 06/03/2017 E.C. Time: 3:00 LT

Venue: DMIT Conference Room, Building. 708


Organized by Debre Markos Institute of Technology

11 December 2024

A Seminar Presentation on the Design and Application of AI-driven chatbot

Prepared by:

Walelign Tewabe (Ph.D.)


Organized by

Addis Abeba Science and Technology University (AASTU)


Summary

This seminar explores the design and application of AI-driven chatbots, emphasizing their role in transforming human-computer interaction. Attendees will gain insights into the foundational technologies powering chatbots, including natural language processing (NLP) and machine learning, along with the key components of chatbot architecture. Practical applications across various industries—healthcare, education, e-commerce, and more—will be discussed, highlighting real-world use cases.

May 2023

Business Talk


Seminar

CONTACT

Use this form for any collaboration.

Phone

+36702661845

waleligntewabe@gmail.com

Address

Stivan 15

Budapest 1055