Geletaw Sahle Tegenaw, Girum Ketema , Bart Jansen, Frank Verbeke, Jan Cornelis, and Demisew Amenu Sori (2019), “A Low-Cost Automated Clinical Pathway for Supporting the Clinical Decision Process”, MD4SG'19. 3rd Workshop in Mechanism of Design for Social Good at The 20th ACM Conference on Economics and Computation). ACM FCRC Conference

Rediet Adamu Gebremedhin, Geletaw Sahle Tegenaw, Zegeye Kelkilew Tadesse, Yenenh Yirga Mohammed, and Gizat Molla Kassie (2019),”Wireless feto-maternal vital sign monitoring and follow-up for resource limited setting”, Available athttps://doi.org/10.21955/gatesopenres.1116477.1 Awarded: Best Innovative POSTER PRIZE

Geletaw Sahle (2016), “ Ethiopic Maternal Care Data Mining: Discovering the Factors that Affect Postnatal Care Visit in Ethiopia ”, Health Information Science and Systems Journal, Received: 12 May 2015, Accepted: 24 April 2016, Published: 23 May 2016 DOI 10.1186/s13755-016-0017-2 Available: http://hissjournal.biomedcentral.com/ articles/10.1186/s13755-016-0017-2

1. Geletaw Sahle and Million Meshesha (2014), “ Uncovering Knowledge that Supports Malaria Prevention and Control Intervention Program in Ethiopia ”, eJHI – electronic 1 Journal of Health Informatics – ISSN 1446-4381, 2014. Vol 8, No 1 Available at : http:// www.ejhi.net/ojs/index.php/ejhi/issue/view/17

Yossi Shibbru and Geletaw Sahle (2018), “AI for Africa: Opportunities and Challenges”. BLACK IN AI WORKSHOP co-located with NIPS 2018 at the Palais des Congrès de Montréal (Montreal Convention Centre) in Montréal CANADA on December 7th. 2018. ACCEPTED FOR PRESENTATION. Available at https://blackinai.github.io/workshop/2018/programs/

Geletaw Sahle and Yossi Shibbru (2018), “A machine learning approach for identifying proteins involved in conserved parasite- mosquito interactions”. BLACK IN AI WORKSHOP co-located with NIPS 2018 at the Palais des Congrès de Montréal (Montreal Convention Centre) in Montréal CANADA on December 7th. 2018. ACCEPTED FOR PRESENTATION. Available at https://blackinai.github.io/workshop/2018/programs/

Geletaw Sahle, Bart Jansen, Frank Verbeke, Jan Cornelis, Girum Ketema & Demesewu Amenu (2018). “Machine Learning Based Clinical Decision Support System in Limited Resource Setting”. http://www.deeplearningindaba.com/poster-sessions.html. Awarded: AlphaGO POSTER PRIZE at DL INDABA2018.

Geletaw Sahle, Zelalem Hailu, Abebe Asale, Alemayehu Shiferaw, and Yosi Shibberu (2015),”Which Anopheles Mosquito Genes Are Most Important In Promoting Malaria Transmission? A Bioinformatics Perspective”, ISCB Africa ASCBCB Conference on Bioinformatics, March 9-11, 2015, Daressalaam, Tanzania available at http:// www.iscb.org/cms_addon/conferences/africa2015/track/ posters.php

Geletaw Sahle and Yosi Shibberu (2018),”Classifying the Malaria Genome(DNA) Using Supervised Learning”, May 4-5, 2018, 1st National Workshop on “Artificial Intelligence for Ethiopia”, Jointly hosted by Emerging Technology Center of Ethiopian Biotechnology Institute in Collaboration with the Institute of Technology of Hawassa University.

Geletaw Sahle (2018), “Exploring the Interrelationship of Risk Factors For Supporting eHealth Knowledge Base System”, “E-Health" Book Chapter 10, ISBN 978-953-51-6136-3. Available at: https://www.intechopen.com/books/ehealth-making-health-care-smarter/exploring-the-interrelationship-of-risk-factors-for-supporting-ehealth-knowledge-based-system

Basics in Python, Matplotlib, and Numpy for machine learning.

Geletaw Sahle and Yosi Shibberu (2018),”Classifying the Malaria Genome(DNA) Using Supervised Learning”, May 4-5, 2018, 1st National Workshop on “Artificial Intelligence for Ethiopia”, Jointly hosted by Emerging Technology Center of Ethiopian Biotechnology Institute in Collaboration with the Institute of Technology of Hawassa University.

Geletaw Sahle and Henok Bekele (2018), “ Adoption and Implementation of Health information System in Limited Resources Setting: A Survey on User Experience Perspective ”, Asian Journal of Computer and Information Systems, Vol 6, No 1. Feb, 2018. Available at DOI: https://doi.org/10.24203/ajcis.v6i1.5122 , https://www.ajouronline.com/index.php/AJCIS/article/view/5122

Geletaw Sahle (2018) : Deep Learning and It’s Application in Healthcare: October 22, 2018. Venue: CISCO Room, Varenro at JiT, Kito Campus, Jimma University Ethiopia.

Geletaw Sahle (2015),” Mobile Future, mHealth & Mob. App Development: Trends & Opportunities for Developing Countries”, Workshop on Contemporary Concepts in Computing, May 22-23, School of Computing, JiT, Jimma University. [Workshop Presentation ]