Dr. Umar Yahya

Verified email at iuiu.ac.ug

Senior Lecturer, Computer Science.
Islamic University in Uganda



                             

https://researchid.co/umar.yahya

EDUCATION

PhD Computer Science & MSc Computing and New Media (UBD,Brunei), BSc. Computer Science and IT (IUT, Bangladesh)

RESEARCH INTERESTS

Computational Biomechanics, IoT, Computational Intelligence, Intelligent Systems

5

Scopus Publications

17

Scholar Citations

3

Scholar h-index

Scopus Publications

  • A solar-powered semi-autonomous greenhouse management framework
    Muhammad Adam, Mugerwa Derrick, Umar Yahya, Abdal Kasule, Mwaka Lucky, Pembe Fahad, Kasagga Usama, Hamisi Ramadhan Mubarak, and Kasule Moses

    2021 IEEE PES/IAS PowerAfrica, PowerAfrica 2021, Published: 23 August 2021 IEEE
    Greenhouse farming enables all year-round cultivation of crops outside of typical seasons. Moreover, increased global concerns of climate change and food security continue to popularize greenhouses as a viable alternative to open field farming. However, maintaining the required greenhouse conditions is still a demanding task yet crucial to achieving the desired high yield farming. This work presents a successful implementation of a semi-autonomous solar-powered framework for managing a greenhouse. Soil moisture and ambient temperature are continuously recorded, and accordingly, irrigation or aeration is automatically initiated when the desired threshold values are violated. The continuously captured sensor data (soil moisture, and ambient temperature) as well as the timestamps (start time, and stop time) for automatic actuations (irrigation and aeration) are transmitted to a remote database to enable real-time visualization of the greenhouse's condition. This framework could therefore facilitate high yield farming as it enables semi-autonomous management of greenhouses as well as real-time remote visualization.

  • A database-driven neural computing framework for classification of vertical jump patterns of healthy female netballers using 3D kinematics–EMG features
    Umar Yahya, S. M. N. Arosha Senanayake, and A. G. Naim

    Neural Computing and Applications, ISSN: 09410643, eISSN: 14333058, Pages: 1481-1500, Published: 1 March 2020 Springer Science and Business Media LLC

  • Intelligent integrated wearable sensing mechanism for vertical jump height prediction in female netball players
    Umar Yahya, S M N Arosha Senanayake, and A G Naim

    Proceedings of the International Conference on Sensing Technology, ICST, ISSN: 21568065, eISSN: 21568073, Volume: 2017-December, Pages: 1-7, Published: 27 February 2018 IEEE

  • Cluster analysis-based classification of healthy female netball players using wearable sensors
    Umar Yahya, S M N Arosha Senanayake, and A G Naim

    Proceedings of the International Conference on Sensing Technology, ICST, ISSN: 21568065, eISSN: 21568073, Volume: 2017-December, Pages: 1-7, Published: 27 February 2018 IEEE

  • An EMG knowledge-based system for leg strength classification and vertical jump height estimation of female netball players
    Umar Yahya, S. M. N. Arosha Senanayake, and Daphne Lai

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 03029743, eISSN: 16113349, Volume: 9622, Pages: 733-741, Published: 2016 Springer Berlin Heidelberg

RECENT SCHOLAR PUBLICATIONS

  • A Solar-Powered Semi-Autonomous Greenhouse Management Framework
    M Adam, M Derrick, U Yahya, A Kasule, M Lucky, P Fahad, K Usama, ...
    2021 IEEE PES/IAS PowerAfrica, 1-5 2021

  • Combining PIN and Biometric Identifications as Enhancement to User Authentication in Internet Banking
    CU Bah, AH Seyal, U Yahya
    arXiv preprint arXiv:2105.09496 2021

  • A database-driven neural computing framework for classification of vertical jump patterns of healthy female netballers using 3D kinematics–EMG features
    U Yahya, SMN Arosha Senanayake, AG Naim
    Neural Computing and Applications 32 (5), 1481-1500 2020

  • An Integrated 3D Kinematics-EMG Framework for Performance Evaluation of Jump-Landing Tasks in Netball
    U Yahya
    Universiti Brunei Darussalam 2019

  • Characterising Leg-Dominance in Healthy Netballers Using 3D Kinematics-Electromyography Features’ Integration and Machine Learning Techniques
    U Yahya, SMN Arosha Senanayake, AG Naim
    International Journal of Biomedical Engineering and Technology 2019

  • Intelligent integrated wearable sensing mechanism for vertical jump height prediction in female netball players
    U Yahya, SMNA Senanayake, AG Naim
    2017 Eleventh International Conference on Sensing Technology (ICST), 1-7 2017

  • Cluster analysis-based classification of healthy female netball players using wearable sensors
    U Yahya, SMNA Senanayake, AG Naim
    2017 Eleventh International Conference on Sensing Technology (ICST), 1-7 2017

  • An EMG Knowledge-Based System for Leg Strength Classification and Vertical Jump Height Estimation of Female Netball Players
    U Yahya, SMNA Senanayake, D Lai
    Asian Conference on Intelligent Information and Database Systems, 733-741 2016

MOST CITED SCHOLAR PUBLICATIONS

  • A database-driven neural computing framework for classification of vertical jump patterns of healthy female netballers using 3D kinematics–EMG features
    U Yahya, SMN Arosha Senanayake, AG Naim
    Neural Computing and Applications 32 (5), 1481-1500 2020
    Citations: 8

  • Intelligent integrated wearable sensing mechanism for vertical jump height prediction in female netball players
    U Yahya, SMNA Senanayake, AG Naim
    2017 Eleventh International Conference on Sensing Technology (ICST), 1-7 2017
    Citations: 6

  • An EMG Knowledge-Based System for Leg Strength Classification and Vertical Jump Height Estimation of Female Netball Players
    U Yahya, SMNA Senanayake, D Lai
    Asian Conference on Intelligent Information and Database Systems, 733-741 2016
    Citations: 3