Kassim Kalinaki

@iuiu.ac.ug

Lecturer, Computer Science
Islamic University in Uganda



                       

https://researchid.co/kalinaki

RESEARCH INTERESTS

Artificial Intelligence, Computer Vision, Ecological Informatics, Healthcare Informatics, Cybersecurity and E-learning

41

Scopus Publications

737

Scholar Citations

14

Scholar h-index

19

Scholar i10-index

Scopus Publications

  • Big Data’s Impact on Healthcare and Bioinformatics
    Kassim Kalinaki and Abubakar Kalinaki
    Springer Nature Singapore


  • Safeguarding data privacy and security in federated learning systems
    Wasswa Shafik, Kassim Kalinaki, Khairul Eahsun Fahim, and Mumin Adam
    CRC Press

  • Leveraging natural language processing for enhanced text analysis in business intelligence
    Ahmad Fathan Hidayatullah, Kassim Kalinaki, Haji Gul, Rufai Zakari Yusuf, and Wasswa Shafik
    IGI Global
    Business intelligence (BI) is crucial for informed decision-making, optimizing operations, and gaining a competitive edge. The rapid growth of unstructured text data has created a need for advanced text analysis techniques in BI. Natural language processing (NLP) is essential for analyzing unstructured textual data. This chapter covers foundational NLP techniques for text analysis, the role of text analysis in BI, and challenges and opportunities in this area. Real-world applications of NLP in BI demonstrate how organizations use NLP-driven text analysis to gain insights, improve customer experience, and anticipate market trends. Future directions and emerging trends, including multimodal learning, contextualized embeddings, conversational AI, explainable AI, federated learning, and knowledge graph integration, were explored. These advancements enhance the scalability, interpretability, and privacy of NLP-driven BI systems, enabling organizations to derive deeper insights and drive innovation in data-driven business landscapes.

  • IoT and blockchain integration for enhanced AI-driven business intelligence
    Kassim Kalinaki
    IGI Global
    The Internet of Things (IoT) amalgamation with Blockchain technologies holds immense potential to augment Artificial Intelligence (AI)-driven Business Intelligence (BI) capabilities. As data-driven decision-making becomes paramount, this convergence presents organizations with unprecedented opportunities to enhance their BI systems. This study explores the foundational concepts, technological frameworks, and real-world applications underpinning IoT, Blockchain, and AI fusion within BI ecosystems. Examining the synergies between these cutting-edge technologies elucidates potential benefits, such as fortified data security, heightened transparency, and streamlined operational efficiencies. Concurrently, the study delves into the associated challenges, including interoperability complexities and scalability concerns. This study examines current trends, emerging developments, and future directions in AI-powered BI integrated with IoT and Blockchain. It offers key insights for researchers, practitioners, and decision-makers working in this field.

  • Consumer engagement: Exploring deepfake applications in consumer marketing communication
    Muhammad Abdus Salam, S. M. Nafiz Rayun, Waziha Islam, Robiul Hasan, Egi Arvian Firmansyah, and Kassim Kalinaki
    IGI Global
    Artificial intelligence's rapid advancements are transforming marketing and consumer communication, like shifting from traditional influencers to AI-powered virtual influencers. Despite concerns about cyber-harassment and fraud, optimism prevails as netizens adopt technology. However, this technological advancement has opened numerous opportunities for marketers and practitioners to utilize it optimistically and within legal boundaries. So, it is crucial to synthesize the insights on how deepfake technologies can revolutionize marketing, particularly in enhancing consumer engagement, brand communication, and interaction strategies. Therefore, this chapter provides a comprehensive overview of the potential use of deepfake technologies in consumer marketing, emphasizing the ethical considerations that must be addressed, including transparency, consumer perceptions, and legal frameworks. The Nobel insights in this chapter will facilitate consumers, marketers, practitioners, researchers, and stakeholders, guiding them towards future directions.


  • Digital competence in islamic education for lifelong learning: Preliminary analysis using DigComp 2.1 framework
    Mussa Saidi Abubakari and Kassim Kalinaki
    Embracing Technological Advancements for Lifelong Learning IGI Global
    In Islamic education, the infusion of digital tools is reshaping conventional paradigms, demanding the cultivation of digital competence (DC) as a pivotal skill. Balancing technology with cultural and religious sensitivities requires finesse from scholars and learners. This chapter underscores DC's enduring importance in lifelong learning, validating its applicability in Islamic education through a study involving 122 participants from Indonesia, Uganda, and Malaysia. Using quantitative surveys, the research affirms DigComp 2.1's validity and reliability in this context. Notably, learners exhibit a moderate level of DC across its five domains without discernible gender-based differences. These findings advocate for the seamless integration of DC and contemporary skills into Islamic education, urging educators and policymakers to recognise the compatibility of digital tools with Islamic ideals. This study serves as a foundational pillar for shaping educational strategies that harmonise lifelong learning at the intersection of Islamic principles and technological progress.

  • Impact of 5G security on smart cities' internet of things implementation
    Wasswa Shafik and Kassim Kalinaki
    IGI Global
    Smart cities are imperative in terms of smart buildings, transportation, parking, healthcare, agriculture, traffic systems, and public safety aided by the fifth generation (5G) computation standards. They are entirely capable of controlling real-time devices and delivering relevant smart information to the citizens. However, different architectural stages experience privacy and security concerns. Therefore, in this survey, an internet of things (IoT) based architecture is proposed, showing the critical layers that are key to ensure secure smart IoT implementation. The study further covers the recent approaches to security applications for information centric SCs. 5G security solutions have been highlighted in SCs' settings and proposed. Comparably, a comprehensive SC current 5G security and numerous open security concerns are demonstrated. Lastly, offer potential research directions and motivations mainly in academia and industry, outlining these concerns that need to be considered to enhance smart daily operations.

  • Blockchain's motivation for IoT-enabled smart city
    Wasswa Shafik, Kassim Kalinaki, and Rufai Yusuf Zakari
    IGI Global
    This study examines the fusion of blockchain technology with the internet of things (IoT) in smart cities, exploring how Blockchain's traits like immutability, decentralization, and consensus can address smart cities' concerns. It scrutinizes IoT's applications in smart cities like traffic management and waste control, highlighting data's critical role. It accentuates blockchain's significance in device authentication, securing data integrity, and transactions in a decentralized network. Examining some case studies, it vitrines the benefits of integrating blockchain in smart cities such as optimized operations, enhanced security, and participant trust and confidence. Finally, it demonstrates privacy and security bottlenecks, including energy consumption, scalability, and regulations, emphasizing the need for solutions to overcome these challenges.

  • A review of artificial intelligence techniques for improved cloud and IoT security
    Kassim Kalinaki, Wasswa Shafik, Magezi Masha, and Adam A. Alli
    IGI Global
    The current surge in interconnected devices, which includes the Internet of Things (IoT) devices and the continually expanding cloud infrastructure, marks a new era of digital transformation and convenience. This transformative wave is reshaping industries, ushering in the age of smart cities, autonomous vehicles, and effortless remote collaboration. Yet, the growing complexity and reach of these technologies bring an accompanying increase in potential vulnerabilities and security risks. Thus, this study delves into the convergence of artificial intelligence (AI), cloud computing, and IoT security. It investigates how these state-of-the-art technologies can be leveraged to protect networks, data, and devices, presenting inventive solutions to address the ever-evolving threat landscape. Additionally, it sheds light on the challenges posed by AI-powered techniques and offers insights into future trends, making it a valuable resource for researchers, students, and cybersecurity professionals.

  • Perspectives, applications, challenges, and future trends of IoT-based logistics
    Kassim Kalinaki, Wasswa Shafik, Sarah Namuwaya, and Sumaya Namuwaya
    IGI Global
    The emergence of the internet of things (IoT) has revolutionized many sectors of the economy, including logistics and supply chain management. By seamlessly integrating IoT into logistics operations, real-time tracking and monitoring of shipments becomes a reality, and optimizing routes and equipment performance becomes a breeze. Accordingly, supply chain operations have become streamlined like never before. This study delves into the various perspectives, applications, and challenges of deploying IoT in the logistics industry, offering a comprehensive overview for stakeholders, researchers, and students alike. With the potential for improved efficiency, effectiveness, and sustainability, the benefits of IoT in logistics are undeniable. The authors highlight future directions of this exciting field and learn how IoT shapes how we do business.

  • Paving the path to a sustainable digital future with green cloud computing
    Kassim Kalinaki, Musau Abdullatif, Sempala Abdul-Karim Nasser, Ronald Nsubuga, and Julius Kugonza
    IGI Global
    Amidst an era marked by a relentless surge in digital data and computational demands, the imperative for eco-conscious and sustainable computing solutions has reached unprecedented significance. This study delves into the emerging realm of green cloud computing (GCC), a pivotal catalyst in cultivating a greener digital tomorrow. To nurture a sustainable digital frontier, this research investigates various GCC strategies encompassing efficient data center designs, resource optimization techniques, and innovative virtualization practices. Additionally, the authors scrutinize real-world instances of industry leaders embracing sustainable energy sources. Furthermore, they shed light on the obstacles within eco-friendly cloud computing while illuminating forthcoming trends for the triumphant integration of sustainable and eco-friendly technologies. This study offers profound insights for researchers, students, and stakeholders alike.

  • A review of big data analytics and artificial intelligence in industry 5.0 for smart decision-making
    Kassim Kalinaki, Umar Yahya, Owais Ahmed Malik, and Daphne Teck Ching Lai
    IGI Global
    Globally, the industrial landscape is witnessing a significant transformation with the emergence of Industry 5.0, marking a new era characterized by seamless convergence of digital technologies, physical systems, and human expertise. This shift hinges on the dynamic interplay between big data analytics (BDA) and artificial intelligence (AI), becoming the cornerstone of intelligent decision-making in Industry 5.0. Accordingly, this study explores the profound impact of integrating BDA and AI in Industry 5.0, emphasizing the pivotal roles of data acquisition, storage, and processing. Additionally, it examines how AI improves human decision-making across various industrial sectors like manufacturing, retail, automotive, energy grid management, and healthcare, showcasing real-world case studies. Moreover, the chapter addresses the challenges associated with managing large-scale data and offers innovative solutions. It concludes by looking ahead, outlining promising areas for future research at the intersection of BDA and AI to foster well-informed decision-making in Industry 5.0.

  • Securing Industrial Internet of Things (IIoT) A Review of Technologies, Strategies, Challenges, and Future Trends
    Adam A. Alli, Kassim Kalinaki, Mugigayi Fahadi, and Lwembawo Ibrahim
    Auerbach Publications

  • Social Engineering Attacks in Industrial Internet of Things and Smart Industry: Detection and Prevention
    Muhammad Muzamil Aslam, Kassim Kalinaki, Ali Tufail, Abdul Ghani Haji Naim, Madiha Zahir Khan, and Sajid Ali
    Wiley

  • Emerging trends in cybersecurity applications in healthcare systems


  • Federated learning for enhanced cybersecurity in modern digital healthcare systems


  • Secure federated learning in the Internet of Health Things for improved patient privacy and data security
    Kassim Kalinaki, Adam A. Alli, Baguma Asuman, and Rufai Yusuf Zakari
    Elsevier

  • Federated learning challenges and risks in modern digital healthcare systems
    Kassim Kalinaki, Owais Ahmed Malik, Umar Yahya, and Daphne Teck Ching Lai
    Elsevier

  • ICS Deployment Optimization with Time Delay Reduction and Energy-Efficiency in IWSNs
    Muhammad Muzamil Aslam, Ali Tufail, Rosyzie Anna Awg Haji Mohd Apong, Liyanage Chandratilak De Silva, Kassim Kalinaki, and Abdallah Namoun
    IEEE
    Significant time delays and energy inefficiencies are frequently caused by implementing Industrial Control Systems (ICS) in Industrial Wireless Sensor Networks (IWSN). To overcome these issues, this paper suggests two optimization techniques: Harris Hawk Optimization (HHO) and Gradient-Based Optimization (GBO). The GBO technique uses gradient data to optimize ICS deployment to reduce delay times and increase IWSN energy efficiency. The system achieves an efficient communication flow and minimizes transmission delays by incrementally altering the arrangement of ICS components based on gradient descent. The allocation of resources and the elimination of unnecessary data transmissions optimize energy use. Similarly, the HHO approach optimizes ICS deployment in terms of time delay reduction and energy economy by modeling the cooperative hunting approach of Harris Hawks. The HHO algorithm effectively balances exploration and exploitation to find the best deployment configurations. Extensive simulations assess the proposed method in simulation model ICS scenarios. The outcomes show how well GBO and HHO work to cut down on delays and increase energy effectiveness. The enhanced ICS deployment reduces time delays and uses less energy than traditional deployment techniques, improving IWSN performance. The simulation code can be accessed via: [https://github.com/Muzami1282/HHO-for-time-reduction-in-an-ICS-System]

  • ICT for Improved Maternal Healthcare in Uganda: A Systematic Literature Review
    Musa CHEMISTO, Kassim KALINAKI, Ivan Tim OLOYA, Tar JL GUTU, Percival EGAU, Fred KIRYA, Darlius Bosco MWEBESA, and Rashid KISITU
    IEEE
    This paper adapts a Systematic Literature Review (SLR) to investigate the influence of ICTs on Uganda's maternal health sector development based on the premise that ICTs have supported improvements in maternal health services such as antenatal, pregnancy, and postnatal care. The SLR analysed twenty articles and reports, which were classified using the Search, Appraisal, Synthesis, and Analysis (SALSA) framework and Mendeley referencing tool. Six ICT initiatives in maternal health were identified and evaluated, centred on their developmental contributions. Using a theoretical framework for analysis of ICT-based development initiatives, we categorized explanatory development perceptions about the ICT initiatives. Conceptual categories adopted from the framework include better lives for the poor and improved government services. The categories rationalized inferred contextual literature relating to the developmental contributions of the ICT initiatives. Our findings provide an interpretive understanding of the ICT initiative's significance towards service delivery access and improvement. However, the study was limited by insufficient literature about ICTs in Uganda's maternal health sector. Future studies aim to develop an Artificial intelligence system to support improved maternal healthcare in Uganda and a theoretical framework.

  • Societal and Ethical Implications of Technology-Enhanced Agriculture and Healthcare: An African Context
    Wasswa Shafik and Kassim Kalinaki
    IEEE
    In Africa, significant changes are occurring through technological advancements in agriculture and healthcare, offering the potential for a better and wealthier future. This paper investigates the societal and ethical consequences of technology-enhanced agriculture and healthcare in Africa. The study illuminates the distinctive factors that differentiate the African circumstance from other regions. Advancements in eHealth and data-driven agriculture are transforming African food production, and healthcare services are explored in detail. Furthermore, these advancements tackle existing problems, including food security, public health, and development. Nevertheless, the identified and presented study also raises ethical and societal concerns. It surveys the societal and ethical consequences of technology-enhanced agriculture and healthcare in Africa, highlighting the distinct factors that set the African context apart from other continents. Finally, it summarizes critical insights attained during the study that will be fundamental to researchers, students, and other key stakeholders in making Africa smarter.

  • Career Development Activities for African Women, Students, and Young Professionals in Geoscience and Remote Sensing [Idea Committee]
    Kassim Kalinaki, Cletah Shoko, Mary Immaculate Neh Fru, Arioluwa Aribisala, Mousmi Ajay Chaurasia, and Sunni Kanta Prasad Kushwaha
    Institute of Electrical and Electronics Engineers (IEEE)
    Created to champion African women’s involvement and leadership in geospatial careers, the Women in Africa (WiA) initiative was founded within the Inspire, Develop, Empower, and Advance (IDEA) committee of IEEE’s Geoscience and Remote Sensing Society (GRSS). By spotlighting academic, governmental, and industrial career paths through webinars and networking opportunities, WiA promotes professional growth and motivates youth to explore geosciences. Their inaugural effort brought together historically underrepresented African women and young professionals across academia, government, and industry for Career Development Webinars.

  • Technical Loopholes and Trends in Unmanned Aerial Vehicle Communication Systems
    Wasswa Shafik, Kassim Kalinaki, and S. Mojtaba Matinkhah
    International Journal of Technology

RECENT SCHOLAR PUBLICATIONS

  • Analysis Of The Role Of Technology And Its Impact On Refugee Management In Uganda
    AA Alli, K Kalinaki
    Islamic University Journal of Social Sciences 1 (2), 47-68 2025

  • Ethical and Privacy Concerns in Bioinformatics and Cyber-Physical Systems Integration in Healthcare
    W Shafik, RY Zakari, K Kalinaki
    AI-Driven Personalized Healthcare Solutions, 333 2025

  • Social Engineering Attacks in Industrial Internet of Things and Smart Industry: Detection and Prevention
    MM Aslam, K Kalinaki, A Tufail, AGH Naim, MZ Khan, S Ali
    Emerging Threats and Countermeasures in Cybersecurity, 389-412 2025

  • Big Data’s Impact on Healthcare and Bioinformatics
    K Kalinaki, A Kalinaki
    Cyber-Physical Systems Security: A Multi-disciplinary Approach, 23-51 2025

  • Ransomware Threat Mitigation Strategies for Protecting Critical Infrastructure Assets
    K Kalinaki
    Ransomware Evolution, 120-143 2025

  • Forest Canopy Cover Mapping in High-Resolution Multisource Satellite Imagery Using Attention Recurrent Residual U-Net
    K Kalinaki, OA Malik, DTC Lai
    TENCON 2024-2024 IEEE Region 10 Conference (TENCON), 400-403 2024

  • Leveraging Natural Language Processing for Enhanced Text Analysis in Business Intelligence
    AF Hidayatullah, K Kalinaki, H Gul, RZ Yusuf, W Shafik
    Intersection of AI and Business Intelligence in Data-Driven Decision-Making 2024

  • IoT and Blockchain Integration for Enhanced AI-Driven Business Intelligence
    K Kalinaki
    Intersection of AI and Business Intelligence in Data-Driven Decision-Making 2024

  • Emerging trends in cybersecurity applications in healthcare systems
    K Kalinaki, RY Zakari, W Shafik
     2024

  • Nature inspired computational offloading in fog-cloud of things ecosystem for smart city applications
    AA Alli, AM Mahbub, Y Magombe
    Not published 2024

  • Career Development Activities for African Women, Students, and Young Professionals in Geoscience and Remote Sensing [Idea Committee]
    K Kalinaki, C Shoko, MIN Fru, A Aribisala, MA Chaurasia, SKP Kushwaha
    IEEE Geoscience and Remote Sensing Magazine 12 (2), 100-104 2024

  • Societal and Ethical Implications of Technology-Enhanced Agriculture and Healthcare: An African Context
    W Shafik, K Kalinaki
    2024 IST-Africa Conference (IST-Africa), 1-11 2024

  • ICT for Improved Maternal Healthcare in Uganda: A Systematic Literature Review
    M CHEMISTO, K KALINAKI, IT OLOYA, TJL GUTU, P EGAU, F KIRYA, ...
    2024 IST-Africa Conference (IST-Africa), 1-11 2024

  • Introduction to industry’s fourth revolution and its impacts on healthcare
    MM Aslam, RY Zakari, A Tufail, S Ali, K Kalinaki, W Shafik
    Digital Transformation in Healthcare 5 2024

  • ICS Deployment Optimization with Time Delay Reduction and Energy-Efficiency in IWSNs
    MM Aslam, A Tufail, RAAHM Apong, LC De Silva, K Kalinaki, A Namoun
    2024 IEEE Wireless Communications and Networking Conference (WCNC), 1-6 2024

  • Embracing Technological Advancements for Lifelong Learning
    MMK Hawamdeh, F Abdelhafid
    IGI Global 2024

  • Digital Technologies in Modeling and Management: Insights in Education and Industry: Insights in Education and Industry
    GS Prakasha, M Lapina, D Balakrishnan, M Sajid
    IGI Global 2024

  • Navigating Cyber Threats and Cybersecurity in the Logistics Industry
    NZ Jhanjhi, IA Shah
    IGI Global 2024

  • Human-centered approaches in industry 5.0: Human-machine interaction, virtual reality training, and customer sentiment analysis: Human-machine interaction, virtual reality
    A Hassan, PK Dutta, S Gupta, E Mattar, S Singh
    IGI Global 2024

  • Securing Industrial Internet of Things (IIoT): A Review of Technologies, Strategies, Challenges, and Future Trends
    AA Alli, K Kalinaki, M Fahadi, L Ibrahim
    Artificial Intelligence Solutions for Cyber-Physical Systems, 244-263 2024

MOST CITED SCHOLAR PUBLICATIONS

  • Internet of Forestry Things (IoFT) technologies and applications in forest management
    RY Zakari, W Shafik, K Kalinaki, CJ Iheaturu
    Advanced IoT technologies and applications in the industry 4.0 digital 2024
    Citations: 136

  • Artificial Intelligence (AI)-Assisted Computer Vision (CV) in Healthcare Systems
    W Shafik, AF Hidayatullah, K Kalinaki, MM Aslam
    Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem 2024
    Citations: 116

  • Electronic Devices in the artificial intelligence of the internet of medical things (AIoMT)
    KE Fahim, K Kalinaki, W Shafik
    Handbook of security and privacy of AI-enabled healthcare systems and 2023
    Citations: 33

  • Artificial intelligence of internet of medical things (AIoMT) in smart cities: a review of cybersecurity for smart healthcare
    K Kalinaki, M Fahadi, AA Alli, W Shafik, M Yasin, N Mutwalibi
    Handbook of security and privacy of ai-enabled healthcare systems and 2023
    Citations: 32

  • Secure Fog-Cloud of Things: Architectures, Opportunities and Challenges
    AA Alli, K Kassim, N Mutwalibi, H Hamid, L Ibrahim
    Secure Edge Computing, 3-20 2021
    Citations: 30

  • A novel cloud enabled access control model for preserving the security and privacy of medical big data
    A Alabdulatif, NN Thilakarathne, K Kalinaki
    Electronics 12 (12), 2646 2023
    Citations: 29

  • Spatial-temporal mapping of forest vegetation cover changes along highways in Brunei using deep learning techniques and Sentinel-2 images
    K Kalinaki, OA Malik, DTC Lai, RS Sukri, RBHA Wahab
    Ecological Informatics 77, 102193 2023
    Citations: 28

  • FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net
    K Kalinaki, OA Malik, DTC Lai
    International Journal of Applied Earth Observation and Geoinformation 122 2023
    Citations: 28

  • Cybersafe capabilities and utilities for smart cities
    K Kalinaki, NN Thilakarathne, HR Mubarak, OA Malik, M Abdullatif
    Cybersecurity for Smart Cities: Practices and Challenges, 71-86 2023
    Citations: 28

  • Computer Vision and Machine Learning for Smart Farming and Agriculture Practices
    K Kalinaki, W Shafik, TJL Gutu, OA Malik
    Artificial Intelligence Tools and Technologies for Smart Farming and 2023
    Citations: 27

  • Handbook of research on network-enabled IoT applications for smart city services
    K Reddy, DS Roy, TK Mishra, MW Hussain
    IGI global 2023
    Citations: 23

  • Paving the Path to a Sustainable Digital Future With Green Cloud Computing
    K Kalinaki, M Abdullatif, SAK Nasser, R Nsubuga, J Kugonza
    Emerging Trends in Cloud Computing Analytics, Scalability, and Service 2024
    Citations: 21

  • Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things
    AL Imoize, VE Balas, VK Solanki, CC Lee, MS Obaidat
    CRC press 2023
    Citations: 20

  • Smart city ecosystem: An exploration of requirements, architecture, applications, security, and emerging motivations
    W Shafik, K Kalinaki
    Handbook of Research on Network-Enabled IoT Applications for Smart City 2023
    Citations: 20

  • A model of technical and vocational teacher education at bachelor’s degree level and its relevance to the occupational Tasks of TVET Teachers in the OIC Member States
    FA Haolader, D Cicioglu, K Kassim
    TVET@ Asia 8, 1-19 2017
    Citations: 12

  • Human-centered approaches in industry 5.0: Human-machine interaction, virtual reality training, and customer sentiment analysis: Human-machine interaction, virtual reality
    A Hassan, PK Dutta, S Gupta, E Mattar, S Singh
    IGI Global 2024
    Citations: 11

  • Secure Edge Computing: Applications, Techniques and Challenges
    M Ahmed, P Haskell-Dowland
    CRC Press 2021
    Citations: 11

  • Digital competence in Islamic education for lifelong learning: Preliminary analysis using DigComp 2.1 framework
    MS Abubakari, K Kalinaki
    Embracing technological advancements for lifelong learning, 1-31 2024
    Citations: 10

  • A Comparative Study on the Academic Performance of Students in Bachelor’s Degree of Information Technology Having Arts and Science Background in Uganda
    FA Haolader, W Hakim, K Kassim, HR Mubarak
    World Journal of Educational Research 4 (2) 2017
    Citations: 10

  • Assessing digital competence in higher education: A gender analysis of Digcomp 2.1 framework in Uganda
    MS Abubakari, GAN Zakaria, J Musa, K Kalinaki
    SAGA: Journal of Technology and Information System 1 (4), 114-120 2023
    Citations: 9