Adugna Necho Mulatu

Adugna Necho Mulatu

Education:

  1.  Ph.D. in Computer Engineering (Ongoing)
    Bahir Dar University, Bahir Dar, Ethiopia
  2.  M.Sc. in Computer Engineering
    Mekelle University, Mekelle, Ethiopia
  3.  B.Sc. in Computer Engineering
    Adama Science and Technology University, Adama, Ethiopia

Research Interest:

  1. Embedded Systems; Machine Learning (ML) and TinyML.
  2. Wireless Networking; Wireless Personal Area Networks (WPANs).
  3. Wireless Sensor Networks (WSNs).
  4. Internet of Things (IoT) and Industrial IoT (IIoT).
  5. MAC Layer Protocols, particularly IEEE 802.15.4 Time-Slotted Channel Hopping (TSCH).
  6. Scheduling Algorithms.
  7. Channel Hopping.
  8. Link Quality Estimation.
  9. Network Mobility.

  Projects Undertaken:

  1. MoC-TSCH (Multi-objective Optimization for Coverage and Connectivity in Mobility-Aware TSCH Networks).
    Status: Ready for journal submission.
    Keywords: MILP, Optimization, Mobility, Coverage, Connectivity.
    Authors: Adugna Necho Mulatu, Marco Zennaro, Fikreselam Gared, T. V. Prabhakar.
  2. MTSCH: MILP-Based Mobility-Aware TSCH Networks for IIoT.
    Conference: Accepted at IEEE ICTDA 2025.
    Authors: Adugna Necho Mulatu, Marco Zennaro, Fikreselam Gared, T. V. Prabhakar.

  3. CATCH: Conflict-Aware TSCH Scheduler for IIoT.
    Conference: Accepted at Springer ICAST 2025.
    Authors: Adugna Necho Mulatu, Marco Zennaro, Fikreselam Gared, T. V. Prabhakar.
  4. DTS-TSCH: Adaptive Thompson Sampling for Channel Estimation in TSCH Networks for IIoT.
    Journal:  Elsevier Scientific African https://doi.org/10.1016/j.sciaf.2025.e02798
    Authors: Adugna Necho Mulatu, Marco Zennaro, Fikreselam Gared, T. V. Prabhakar.

Publications:.

        Journals and conference proceedings:

  1.   Springer Nature (ICAST 2022) “Prediction of Teff Yield Using a Machine Learning Approach”.
  2.   Mobile Information Systems (Hindawi) “CFSBFDroid: Android Malware Detection Using CFS + Best First Search”.
  3.   Internet of Things Journal “Plant Leaf Diseases Detection and Auto-Medicine”.
  4.   IEEE WAINA (Workshops of the International Conference on Advanced Information Networking and Applications) “Real-Time Automation of Agriculture Land”.

    Various university-funded and practical research projects:

  1.  Teff Yield Prediction Using Machine Learning.
  2.  Plant Disease Detection and Automated Medicining System.
  3.  Enterprise Resource Planning (ERP) System for Tana Mobile PLC.
  4.  Human Resource Management System (HRMS) for Amhara Industrial Park Corporation.
  5.   Infrared Thermometer and Oximeter Development for COVID-19 Response.

     Leadership and Community Engagement:

  1.  Founding President, Internet Society Ethiopia Chapter (2020–2023).
  2.  Secured and managed multiple international grants.
  3.  Led the Abichikili Community Networks Project.
  4.  Participated in UNESCO’s ROAM-X Internet Development Assessment.
  5.  Represented Ethiopia at the 17th Internet Governance Forum (IGF).