Moges Wordofa | Clinical Laboratory Science | Best Researcher Award

Mr. Moges Wordofa | Clinical Laboratory Science | Best Researcher Award

Mr at Addis Ababa University, Ethiopia

Moges Wordofa, an Ethiopian national born on September 15, 1987, serves as a Lecturer at Addis Ababa University’s College of Health Science, Department of Medical Laboratory Science. With expertise in clinical laboratory science, he supervises students, conducts research projects, and advises both undergraduate and postgraduate students. Moges has a Master of Science in Clinical Laboratory Science from Addis Ababa University and a Bachelor of Science in Medical Laboratory Technology from the University of Gondar. He has published extensively and actively participates in community service and professional development. His research focuses include epidemiology, hematology, and infectious diseases.




🎓 Education and Training

Bachelor of Science in Medical Laboratory Technology University of Gondar, Ethiopia, 2006 – 2009 Final Grade: 3.47. Master of Science in Clinical Laboratory Science (Hematology and Immunohematology) Addis Ababa University, Ethiopia, 2015 – 2017 Final Grade: 3.9 Thesis: Excellent. Certifications and Training Training of Trainers on Malaria Laboratory Diagnostic and Quality Assessment Ethiopian Public Health Institute and ICAP-Columbia University, 2015. Certificate of Appreciation for Participation on Flow Cytometry in Hematopathology, Transfusion Medicine, Peripheral Blood Morphology Training St Paul’s Hospital Medical Laboratory and Resolute Health, 2019. Certificate of Competency for Teaching in Higher Education Institutions Addis Ababa University, 2016. Excel Skills for Data Analytics and Visualization Macquarie University, Sydney, Australia, 2023

🏆 Honours and Awards

Certificate of Award in Reviewing Journal of Advances in Medicine and Medical Research, 2021. Certificate of Award for Winning the Grand Prize in COVID-19 Clinical Cases Sharing Contest HemaTalk Webinar on COVID-19, Mindray International, 2021



  • Title: Establishing reference intervals for common hematology test parameters from apparently healthy geriatrics in Asella town, Southeast Ethiopia, 2020: a community-based cross-sectional study
    Authors: Hashim Harka, M., Siraj, Z., Dibaba, B., Tsegaye, A., Wordofa, M.
    Journal: Frontiers in Medicine
    Year: 2024
    Volume: 11
    Article ID: 1373283
    Citations: 0


  • Title: Helicobacter pylori (H. pylori) risk factor analysis and prevalence prediction: a machine learning-based approach
    Authors: Tran, V., Saad, T., Tesfaye, M., Ay, A., Taye, B.
    Journal: BMC Infectious Diseases
    Year: 2022
    Volume: 22
    Issue: 1
    Article ID: 655
    Citations: 8


  • Title: Machine learning-based risk factor analysis and prevalence prediction of intestinal parasitic infections using epidemiological survey data
    Authors: Zafar, A., Attia, Z., Tesfaye, M., Ay, A., Taye, B.
    Journal: PLoS Neglected Tropical Diseases
    Year: 2022
    Volume: 16
    Issue: 6
    Article ID: e0010517
    Citations: 9


  • Title: A comparative study of hematological parameters between hypertensive and normotensive individuals in Harar, eastern Ethiopia
    Authors: Sileshi, B., Urgessa, F., Wordofa, M.
    Journal: PLoS ONE
    Year: 2021
    Volume: 16
    Issue: 12
    Article ID: e0260751
    Citations: 7


  • Title: Intestinal helminthic infection and allergic disorders among school children enrolled in mass deworming program, Sululta, Ethiopia
    Authors: Abera, D., Wordofa, M., Mesfin, A., Tsegaye, A., Taye, B.
    Journal: Allergy, Asthma and Clinical Immunology
    Year: 2021
    Volume: 17
    Issue: 1
    Article ID: 43
    Citations: 1


  • Title: Blood coagulation parameter abnormalities in hospitalized patients with confirmed COVID-19 in Ethiopia
    Authors: Araya, S., Mamo, M.A., Tsegay, Y.G., Cheru, M., Tamir, Z.
    Journal: PLoS ONE
    Year: 2021
    Volume: 16
    Issue: 6
    Article ID: e0252939
    Citations: 26


  • Title: The magnitude of hematological abnormalities among COVID-19 patients in Addis Ababa, Ethiopia
    Authors: Araya, S., Wordofa, M., Mamo, M.A., Cheru, M., Tamir, Z.
    Journal: Journal of Multidisciplinary Healthcare
    Year: 2021
    Volume: 14
    Pages: 545–554
    Citations: 17


sofia aftab | Neural network | Best Researcher Award

 Ms. sofia aftab | Neural network | Best Researcher Award

Ms. Norges Teknisk-Naturvitenskapelige Universitet, Norway

👩‍🔬 Highly experienced Data Scientist with expertise in research, data science, machine learning, advanced analytics, and Generative AI. Proficient in Python, SQL, SAS, Teradata, R, and QlikView. Possesses strong skills in business analysis, model building, and communication. Excels in statistical techniques, machine learning algorithms, deep learning frameworks, NLP, data engineering, and Generative AI. Experienced in agile project management and collaborative team environments.🌟








  • MS (IT) specialization in Data Mining/Analytics from NUST
  • Ph.D (Machine Learning/Data Science) from NTNU


💼📊Career Skills/Knowledge

Over 12 years of experience as an enthusiastic Data Scientist Strong business analysis and data mining skills Expertise in model building and execution Proficient in segmentation and customer value management analytics Skilled in statistical techniques including regression, A/B testing, and statistical significance of ML models Experienced in machine learning algorithms such as NN, SVM, Naive Bayes, ensemble modeling, and deep learning (DNN)Knowledgeable in NLP techniques, data engineering, MLOps, and cloud deployments Experienced in Generative AI techniques including prompt engineering, Lang chain, and Semantic search Research-focused with experience in improving evaluation metrics and developing recommendation algorithms Proficient in agile project management methodologies


Accenture-Norway (Aug 2022 – Present)Data Science Consultant/Team Lead Built and maintained data and ML pipelines Developed ML models and CI/CD workflows Collaborated with cross-functional teams Led agile projects and worked on Generative AI Telenor-Norway (Dec 2020 – Aug 2022)Data Scientist Evaluated and improved ML projects Transformed business questions into analysis Led agile projects and presented to management NTNU (Apr 2018 – 2020)Research Scientist Worked on Recommendation systems using deep learning Improved evaluation metrics for recommender systems HPE (May 2016 – 2018)Data Scientist (Consultant)Identified cross-sell and upsell opportunities Developed and maintained next best action engine Telenor (Aug 2015 – May 2016)Specialist Advance Analytics and Consumer Insight Conducted subscriber analysis and developed churn/retention framework Telenor (Aug 2013 – Aug 2015)Executive Advance Analytics and Consumer Insight Developed behavioral segmentation and churn prediction models Protégé Global (Aug 2012 – 2013)Team Lead Data Miner/Data Scientist Managed a team for data mining projects and conducted exploratory data analysis Muhammad Ali Jinnah University (MAJU) (2012 – 2013)Lecturer, Trainer National University of Science and Technology (NUST) (2011 – 2012)Research Assistant

Publications Top Notes 📝

  1. Title: Data Mining in Insurance Claims (DMICS) Two-way mining for extreme values
    • Authors: S Aftab, W Abbas, MM Bilal, T Hussain, M Shoaib, SH Mehmood
    • Conference: Eighth International Conference on Digital Information Management (ICDIM)
    • Year: 2013
    • Citations: 6


  1. Title: Evaluating top-n recommendations using ranked error approach: An empirical analysis
    • Authors: S Aftab, H Ramampiaro
    • Journal: IEEE Access
    • Volume: 10
    • Pages: 30832-30845
    • Year: 2022
    • Citations: 4


  1. Title: Improving top-N recommendations using batch approximation for weighted pair-wise loss
    • Authors: S Aftab, H Ramampiaro
    • Journal: Machine Learning with Applications
    • Volume: 15
    • Pages: 100520
    • Year: 2024


  1. Title: Deep Contextual Grid Triplet Network for Context-Aware Recommendation
    • Authors: S Aftab, H Ramampiaro, H Langseth, M Ruocco
    • Journal: IEEE Access
    • Year: 2023


  1. Title: Data Mining in Insurance Claims (DMICS)
    • Authors: S Aftab, W Abbass, MM Bilal, T Hussain, M Shoaib, SH Mehmood