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Bilde av Woldaregay, Ashenafi Zebene
Bilde av Woldaregay, Ashenafi Zebene
Universitetslektor Institutt for datateknologi og beregningsorienterte ingeniørfag awo012@post.uit.no +4777646444 Tromsø

Ashenafi Zebene Woldaregay

  • 1
    Madhu Koirala, Pål Gunnar Ellingsen, Ashenafi Zebene Woldaregay :
    Validation of dry bulk pile volume estimation algorithm based on angle of repose using experimental images
    Results in Earth Sciences 2025 DOI / ARKIV
  • 1
    Kjersti Mevik, Ashenafi Zebene Woldaregay, Alexander Ringdal, Karl Øyvind Mikalsen, Yuan Xu :
    Exploring surgical infection prediction: A comparative study of established risk indexes and a novel model
    International Journal of Medical Informatics 2024 DOI / ARKIV
  • 1
    Jørgen Aarmo Lund, Per Joel Burman Burman, Ashenafi Zebene Woldaregay, Robert Jenssen, Karl Øyvind Mikalsen :
    Instruction-guided deidentification with synthetic test cases for Norwegian clinical text
    Proceedings of Machine Learning Research (PMLR) 2024 ARKIV / ARKIV
  • 1
    Helge Ingvart Fredriksen, Per Joel Burman Burman, Ashenafi Zebene Woldaregay, Karl Øyvind Mikalsen, Ståle Haugset Nymo :
    Categorization of phenotype trajectories utilizing transformers on clinical time-series
    2024 DOI / ARKIV
  • 1
    André Henriksen, David-Zacharie Issom, Ashenafi Zebene Woldaregay, Gerit Pfuhl, Eirik Årsand, Keiichi Sato m.fl.:
    Dataset of motivational factors for using mobile health applications and systems
    Data in Brief 16. september 2023 DOI / ARKIV / ARKIV
  • 1
    André Henriksen, Ashenafi Zebene Woldaregay, Miroslav Muzny, Gunnar Hartvigsen, Laila Arnesdatter Hopstock, Sameline Grimsgaard :
    Dataset of fitness trackers and smartwatches to measuring physical activity in research
    BMC Research Notes 2022 DOI / ARKIV
  • 1
    André Henriksen, Gerit Pfuhl, Ashenafi Zebene Woldaregay, David-Zacharie Issom, Eirik Årsand, Keiichi Sato m.fl.:
    Expectations of users and non-users of wearable sensors and mobile health applications
    2022 DOI / ARKIV / ARKIV
  • 1
    Meghan Bradway, Ashenafi Zebene Woldaregay, David-Zacharie Issom, Gerit Pfuhl, Gunnar Hartvigsen, Eirik Årsand m.fl.:
    mHealth: Where Is the Potential for Aiding Informal Caregivers?
    Studies in Health Technology and Informatics 2021 DOI / ARKIV
  • 1
    Ashenafi Zebene Woldaregay, André Henriksen, David-Zacharie Issom, Gerit Pfuhl, Keiichi Sato, Aude Richard m.fl.:
    User Expectations and Willingness to Share Self-collected Health Data
    Studies in Health Technology and Informatics 2020 DOI / ARKIV / ARKIV
  • 1
    Prosper Yeng, Ashenafi Zebene Woldaregay, Terje Geir Solvoll, Gunnar Hartvigsen :
    Cluster detection mechanisms for syndromic surveillance systems: Systematic review and framework development
    JMIR Public Health and Surveillance 26. mai 2020 DOI / ARKIV / ARKIV
  • 1
    David-Zacharie Issom, André Henriksen, Ashenafi Zebene Woldaregay, Jessica Rochat, Christian Lovis, Gunnar Hartvigsen :
    Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements
    JMIR Human Factors 2020 DOI / ARKIV
  • 1
    Ashenafi Zebene Woldaregay, Ilkka Kalervo Launonen, Eirik Årsand, David Albers, Anna Holubova, Gunnar Hartvigsen :
    Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection System
    Journal of Medical Internet Research (JMIR) 2020 DOI / ARKIV
  • 1
    Ashenafi Zebene Woldaregay, Ilkka Kalervo Launonen, David Albers, Jorge Igual, Eirik Årsand, Gunnar Hartvigsen :
    A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism
    Journal of Medical Internet Research (JMIR) 2020 DOI / ARKIV
  • 1
    Miguel Angel Tejedor Hernandez, Ashenafi Zebene Woldaregay, Fred Godtliebsen :
    Reinforcement learning application in diabetes blood glucose control: A systematic review
    Artificial Intelligence in Medicine 2020 DOI / ARKIV
  • 1
    Prosper Yeng, Livinus Obiora Nweke, Ashenafi Zebene Woldaregay, Bian Yang, Einar Arthur Snekkenes :
    Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic Review
    Advances in Intelligent Systems and Computing 2020 DOI / ARKIV / ARKIV
  • 1
    Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, David Albers, Lena Mamykina, Gunnar Hartvigsen :
    Data-driven blood glucose pattern classification and anomalies detection: Machine-learning applications in Type 1 diabetes
    Journal of Medical Internet Research (JMIR) 2019 DOI / ARKIV
  • 1
    Prosper Yeng, Ashenafi Zebene Woldaregay, Gunnar Hartvigsen :
    K-CUSUM: Cluster Detection Mechanism in EDMON
    Linköping Electronic Conference Proceedings 2019 ARKIV / FULLTEKST
  • 1
    Sverre Coucheron, Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen :
    EDMON - a system architecture for real-time infection monitoring and outbreak detection based on self-recorded data from people with type 1 diabetes: system design and prototype implementation
    Linköping Electronic Conference Proceedings 2019 ARKIV / FULLTEKST
  • 1
    Ashenafi Zebene Woldaregay, Eirik Årsand, Ståle Walderhaug, David Albers, Lena Mamykina, Taxiarchis Botsis m.fl.:
    Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
    Artificial Intelligence in Medicine 2019 DOI / ARKIV
  • 1
    Alain Giordanengo, Eirik Årsand, Ashenafi Zebene Woldaregay, Meghan Bradway, Astrid Grøttland, Gunnar Hartvigsen m.fl.:
    Design and prestudy assessment of a dashboard for presenting self-collected health data of patients with diabetes to clinicians: Iterative approach and qualitative case study
    JMIR Diabetes 2019 DOI / ARKIV / ARKIV
  • 1
    Ashenafi Zebene Woldaregay, David-Zacharie Issom, André Henriksen, Henna Martilla, Martin Haugen Mikalsen, Gerit Pfuhl m.fl.:
    Motivational factors for user engagement with mHealth apps
    Studies in Health Technology and Informatics 2018 DOI / ARKIV
  • 1
    Prosper Kandabongee Yeng, Ashenafi Zebene Woldaregay, Terje Solvoll, Gunnar Hartvigsen :
    A systematic review of cluster detection mechanisms in syndromic surveillance: Towards developing a framework of cluster detection mechanisms for EDMON system
    Linköping Electronic Conference Proceedings 2018 DOI / ARKIV / FULLTEKST
  • 1
    André Henriksen, Martin Haugen Mikalsen, Ashenafi Zebene Woldaregay, Miroslav Muzny, Gunnar Hartvigsen, Laila Arnesdatter Hopstock m.fl.:
    Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables
    Journal of Medical Internet Research (JMIR) 2018 DOI / ARKIV
  • 1
    Bisrat Derebssa Dufera, Ashenafi Zebene Woldaregay :
    Bimodal biometrics for efficient human recognition using wavelet, principal component analysis and artificial neural network
    Proceedings (African Electrical Technology Conference) 07. november 2017 DOI / ARKIV
  • 1
    Ashenafi Zebene Woldaregay, Ståle Walderhaug, Gunnar Hartvigsen :
    Telemedicine Services for the Arctic: A systematic review
    JMIR Medical Informatics 2017 DOI / ARKIV / ARKIV
  • 1
    Alain Giordanengo, Meghan Bradway, Miroslav Muzny, Ashenafi Zebene Woldaregay, Gunnar Hartvigsen, Eirik Årsand :
    Systems integrating self-collected health data by patients into EHRs and medical systems: a State-of-the-art review
    Linköping Electronic Conference Proceedings 2017 ARKIV / FULLTEKST
  • 1
    Ashenafi Zebene Woldaregay, Eirik Årsand, Alain Giordanengo, David Albers, Lena Mamykina, Taxiarchis Botsis m.fl.:
    EDMON - A Wireless Communication Platform for a Real-Time Infectious Disease Outbreak Detection System Using Self-Recorded Data from People with Type 1 Diabetes
    Linköping Electronic Conference Proceedings 2017 ARKIV / FULLTEKST
  • 1
    Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen :
    An Early Infectious Disease Outbreak Detection Mechanism Based on Self-Recorded Data from People with Diabetes
    Studies in Health Technology and Informatics 2017 DOI / ARKIV / FULLTEKST
  • 1
    Ashenafi Zebene Woldaregay, Klaske van Vuurden, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen :
    Electronic Disease Surveillance System Based on Inputs from People with Diabetes: An Early Outbreak Detection Mechanism
    2016 ARKIV / FULLTEKST
  • André Henriksen, Gerit Pfuhl, Ashenafi Zebene Woldaregay, David-Zacharie Issom, Eirik Årsand, Keiichi Sato m.fl.:
    Expectations of users and non-users of wearable sensors and mobile health applications
    2022 ARKIV
  • Gunnar Hartvigsen, Ashenafi Zebene Woldaregay, Eirik Årsand :
    AI applied in diabetes research and care: glucose control
    2021 ARKIV
  • André Henriksen, Ashenafi Zebene Woldaregay, David-Zacharie Issom, Keiichi Sato, Eirik Årsand, Meghan Bradway m.fl.:
    What motivates patients with NCDs to follow up their treatment?
    2021 ARKIV
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen :
    HOW PEOPLE WITH TYPE 1 DIABETES CAN ASSIST IN DISEASE OUTBREAK DETECTION
    Diabetes Technology & Therapeutics 2020 ARKIV / FULLTEKST
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen :
    How People with Type 1 Diabetes can Assist in Disease Outbreak Detection
    2020 ARKIV
  • Pietro Randine, Eirik Årsand, Ashenafi Zebene Woldaregay, Gunnar Hartvigsen :
    IFIs stipendiater og forskere produserer aktiv på helsefronten
    01. juli 2020 ARKIV
  • Prosper Yeng, Ashenafi Zebene Woldaregay, Gunnar Hartvigsen :
    K-CUSUM: Cluster Detection Mechanism in EDMON
    2019 ARKIV
  • Sverre Coucheron, Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen :
    EDMON - A System Architecture for Real-Time Infection Monitoring and Outbreak Detection Based on Self-Recorded Data from People with Type 1 Diabetes: System Design and Prototype Implementation
    2019 ARKIV
  • Ashenafi Zebene Woldaregay :
    Electronic Disease Surveillance Monitoring Network (EDMON) – Development of a Digital Infectious Disease Outbreak Detection System Using Self-recorded Health Data from People with Type 1 Diabetes
    2019 ARKIV
  • Ashenafi Zebene Woldaregay, David-Zacharie Issom, André Henriksen, Henna Martilla, Martin Haugen Mikalsen, Gerit Pfuhl m.fl.:
    Motivational factors for user engagement with mHealth apps
    2018 ARKIV
  • Prosper Kandabongee Yeng, Ashenafi Zebene Woldaregay, Terje Solvoll, Gunnar Hartvigsen :
    A Systematic Review of Cluster Detection Mechanisms in Syndromic Surveillance: Towards Developing a Framework of Cluster Detection Mechanism for EDMON System
    2018 ARKIV
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen :
    An Early Infectious Disease Outbreak Detection Mechanism Based on Self-Recorded Data from People with Diabetes
    2017 ARKIV
  • Ashenafi Zebene Woldaregay, Taridzo Chomutare, Dave Albers, Lena Mamykina, Ole Kristian Hejlesen, Christian Lovis m.fl.:
    An early infectious disease outbreak detection system based on self-recorded data from people with diabetes
    2017 ARKIV
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Gunnar Hartvigsen :
    Data Driven Blood Glucose Prediction: Interval vs. Point Blood Glucose Prediction?
    Diabetes Technology & Therapeutics 2017 ARKIV
  • Ashenafi Zebene Woldaregay, Taridzo Chomutare, Dave Albers, Lena Mamykina, Ole Kristian Hejlesen, Christian Lovis m.fl.:
    An early infectious disease outbreak detection system based on self-recorded data from people with diabetes
    Diabetes Technology & Therapeutics 2017 ARKIV
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Gunnar Hartvigsen :
    Data Driven Blood Glucose Prediction: Interval vs. Point Blood Glucose Prediction?
    2017 ARKIV
  • Alain Giordanengo, Meghan Bradway, Miroslav Muzny, Ashenafi Zebene Woldaregay, Gunnar Hartvigsen, Eirik Årsand :
    Systems integrating self-collected health data by patients into EHRs and medical systems: a State-of-the-art review
    2017 ARKIV
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Alain Giordanengo, David Albers, Lena Mamykina, Taxiarchis Botsis m.fl.:
    EDMON - A Wireless Communication Platform for a Real-Time Infectious Disease Outbreak Detection System Using Self-Recorded Data from People with Type 1 Diabetes
    2017 ARKIV
  • Ashenafi Zebene Woldaregay, Gunnar Hartvigsen, Ståle Walderhaug :
    Appendix E Telemedisinske løsninger i maritime operasjoner og redningstjeneste
    SINTEF Digital 2016 ARKIV / ARKIV
  • Ashenafi Zebene Woldaregay, Ståle Walderhaug, Gunnar Hartvigsen :
    Literatures Review of Telemedicine Services in Maritime and Extreme Weather
    International Journal of Integrated Care (IJIC) 2016 DOI / ARKIV
  • Ashenafi Zebene Woldaregay, Ståle Walderhaug, Gunnar Hartvigsen :
    Literatures Review of Telemedicine Services in Maritime and Extreme Weather
    2016 ARKIV

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    CV

    Ashenafi Zebene Woldaregay is a PhD candidate at the University of Tromsø – The Arctic University of Norway (UiT), Faculty of Science and Technology, Department of Computer Science. He was Graduate assistant II (2008-2009), Assistant lecture (2010-2012) and Lecturer (2013-2014) at the Department of Electrical and Computer Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia. He was chairman of Computer Engineering Program (stream) (2013-2014), coordinating and supervising different academic activities. During the period he was employed at the university, he has taught various Computer and Electrical Engineering courses such as Introduction to Computer programming, Programming in C++, Data structure, Algorithm Analysis and Design, Objected Oriented Programming with Java, Data Communication and Computer Networks, Applied Electronics, Modern Control System, Electrical Machine, Power Electronics and Motor Derive, Instrumentation Engineering and so many others.

    He has supervised different community based training program, coordinating and supervising a group of students working on-site community based projects along with many BSc projects. He holds a BSc degree in Electrical Engineering from Hawassa University, Hawassa, Ethiopia. MSc degree in Computer Engineering from Addis Ababa Institute of Technology, Addis Ababa, Ethiopia. MSc degree in Telemedicine and eHealth from the University of Tromsø – The Arctic University of Norway (UiT), Faculty of Science and Technology, Department of Computer Science. He has co-supervised 3 master students, and group of BSc students on a course project with Professor Gunnar Hartvigsen at the Department of Computer Science, University of Tromsø – The Arctic University of Norway (UiT). Mr. Ashenafi is currently co-supervising one Master student. He was assistant instructor for Telemedicine and eHealth master course. He had worked as research assistant in SINTEF on the SARINOR project.

    His current research (PhD) focuses on an early detection of infection incidences using self-recorded data from people with diabetes. The project is an interdisciplinary research involving machine learning, diabetes, motivation, mHealth, and public health surveillance. He has experience in the use of machine learning algorithms in image processing and biometric verifications systems. Generally, his interests lie on machine learning applications in healthcare. Moreover, areas of health informatics including digital disease outbreak detection, feedback system for people with chronic disease, medical sensor system, and motivational mechanisms in mHealth.