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Assoc. Prof. Dr. Kassim Kalinaki

Assoc. Prof. Dr. Kassim Kalinaki

Dean, School of Technology, Computing and Engineering

Dr. Kassim Kalinaki (Member, IEEE; Member, ACM) is an Associate Professor of Computer Science and Dean of the School of Technology, Computing and Engineering at Uganda Technology and Management University (UTAMU). He is an academic leader, researcher, technologist, and educator with over a decade of experience in university teaching, research, curriculum development, postgraduate supervision, cybersecurity, and digital transformation across Africa and Asia.

He holds a PhD in Digital Science (Computer Science) from Universiti Brunei Darussalam, where his research applied deep learning and satellite imagery to analyse tropical landscapes. His interdisciplinary research interests include artificial intelligence, machine learning, computer vision, remote sensing, cybersecurity, healthcare and ecological informatics, the Internet of Things, smart cities, and educational technologies. He has authored and co-authored more than 70 peer-reviewed publications and serves as a reviewer for international journals and conferences.

At UTAMU, Dr. Kalinaki provides academic and strategic leadership, teaches postgraduate courses in Artificial Intelligence and Data Science, and supervises postgraduate research. He also trains legal professionals in artificial intelligence and digital literacy through the Centre for ICT and Law. His previous experience includes serving as Head of the Department of Computer Science at the Islamic University in Uganda, teaching at universities in Uganda and Brunei Darussalam, and working as a Cybersecurity Project Manager at SPI BN in Brunei.

Dr. Kalinaki is committed to mentorship, innovation, and community engagement. In July 2026, he served as a Volunteer Professor and AI Skills Facilitator with Professors Without Borders in Eswatini, where he trained young people in responsible AI use, career development, workplace productivity, professional communication, and entrepreneurship. His work focuses on connecting academic research with practical innovation and using technology to build a secure, inclusive, intelligent, and sustainable society.

  1. Shafik, W., Hidayatullah, A. F., Kalinaki, K., Gul, H., Zakari, R. Y., & Tufail, A. (2026). A systematic literature review on transparency and interpretability of AI models in healthcare: Taxonomies, tools, techniques, datasets, open research challenges, and future trends. Health and Technology, 16(2), 209–230. https://doi.org/10.1007/s12553-025-01051-w
  2. Aslam, M. M., Shafik, W., Hidayatullah, A. F., Kalinaki, K., Gul, H., Zakari, R. Y., & Tufail, A. (2025). Intelligent transportation systems: A critical review of the integration of cyber-physical systems and Industry 4.0. Digital Communications and Networks, 12(1), 143–164. https://doi.org/10.1016/j.dcan.2025.06.014
  3. Rayun, S. M. N., Salam, M. A., Islam, W., Firmansyah, E. A., & Kalinaki, K. (2025). Unraveling the dynamics of mobile wallets in promoting cashless tourism in Bangladesh: Implementation of the UTAUT2 model. Journal of Hospitality and Tourism Technology, 16(5), 1046–1065. https://doi.org/10.1108/JHTT-04-2024-0222
  4. Alfarisy, G. A. F., Kalinaki, K., Malik, O. A., Putra, R. K., & Nuryono, A. A. (2025). Open plant species recognition using vision transformer network and top-K logit disparity score. Innovative Informatics and Artificial Intelligence Research, 1(1), 12–18. https://journal.itk.ac.id/index.php/IIAIR/article/view/1227
  5. Alli, A. A., & Kalinaki, K. (2025). Analysis of the role of technology and its impact on refugee management in Uganda. Islamic University Journal of Social Sciences, 1(2). https://journals.iuiu.ac.ug/index.php/iujss/article/view/706
  6. Shafik, W., Kalinaki, K., & Matinkhah, S. M. (2024). Technical loopholes and trends in unmanned aerial vehicle communication systems. International Journal of Technology, 15(3), 654–664. https://doi.org/10.14716/ijtech.v15i3.5644
  7. Abubakari, M. S., Zakaria, G. A. N., Musa, J., & Kalinaki, K. (2023). Assessing digital competence in higher education: A gender analysis of the DigComp 2.1 framework in Uganda. SAGA: Journal of Technology and Information Systems, 1(4), 114–120. https://doi.org/10.58905/saga.v1i4.210  
  8. Abubakari, M. S., Zakaria, G. A. N., Musa, J., & Kalinaki, K. (2023). Validating the digital competence (DigComp 2.1) framework in higher education using confirmatory factor analysis: A non-Western perspective. Canadian Journal of Educational and Social Studies, 3(6), 15–26. https://doi.org/10.53103/cjess.v3i6.184
  9. Kalinaki, K., Malik, O. A., & Lai, D. T. C. (2023). FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net. International Journal of Applied Earth Observation and Geoinformation, 122, Article 103453. https://doi.org/10.1016/j.jag.2023.103453
  10. Alicon, A. T., & Kalinaki, K. (2023). Positioning higher education institutions as work-based ICT-integrated learning theatres for employee mid-career development: A strategy for HR capacity building. Higher Education, Skills and Work-Based Learning, 13(5), 955–968. https://doi.org/10.1108/HESWBL-02-2023-0047
  11. Kalinaki, K., Malik, O. A., Lai, D. T. C., Sukri, R. S., & Abdul Wahab, R. B. H. (2023). Spatial-temporal mapping of forest vegetation cover changes along highways in Brunei using deep learning techniques and Sentinel-2 images. Ecological Informatics, 77, Article 102193. https://doi.org/10.1016/j.ecoinf.2023.102193
  12. Alabdulatif, A., Thilakarathne, N. N., & Kalinaki, K. (2023). A novel cloud-enabled access control model for preserving the security and privacy of medical big data. Electronics, 12(12), Article 2646. https://doi.org/10.3390/electronics12122646
  13. Haolader, F. A., Hakim, W., Kalinaki, K., & Mubarak, H. R. (2017). A comparative study on the academic performance of students in bachelor’s degree of information technology having arts and science backgrounds in Uganda. World Journal of Educational Research, 4(2). https://doi.org/10.22158/wjer.v4n2p257
  14. Haolader, F. A., Cicioglu, D., & Kalinaki, K. (2017). 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. TVET@Asia, 8. https://tvet-online.asia/8/haolader-etal/
  15. Kalinaki, K. (2019). Massive open online courses (MOOCs): Emerging possibilities for quality education in Uganda. Islamic University Multidisciplinary Journal, 6(4). https://www.iuiu.ac.ug/journaladmin/iumj/ArticleFiles/44943.pdf
  1. Shafik, W., & Kalinaki, K. (2026). Robustness against adversarial attacks and model security in Healthcare 5.0. In The convergence of federated learning and Healthcare 5.0 and beyond: A new era of intelligent health systems. Springer. https://doi.org/10.1007/978-3-032-03985-9_17 (ISBN 978-3-032-03985-9)
  2. Afiqah, A., & Kalinaki, K. (2026). AI-driven education: Building skills for the future in Brunei Darussalam. In Emerging technologies and business development in the tropics. Taylor & Francis. https://doi.org/10.4324/9781003586043-15 (ISBN 978-1-003-58604-3)
  3. Kalinaki, K., Shafik, W., & Eahsun, K. (2026). Using online predictions and machine learning for fraud detection in online transactions. In Real-time artificial intelligence (AI): Key motivations, technologies, platforms, and use cases. Taylor & Francis. https://doi.org/10.1201/9781998511358-8 (ISBN 978-1-9985-1135-8)
  4. Nabukeera, M., Kalinaki, K., & Matovu, M. (2026). Comparative analysis of ICT usage in Ugandan ministries, departments, agencies, and local governments. In Global perspectives on digital governance and national transformation. IGI Global. https://doi.org/10.4018/979-8-3373-8505-1.ch007 (ISBN 979-8-3373-8505-1)
  5. Kalinaki, K., Nabukeera, M., & Matovu, M. (2025). A comparative analysis of generative AI traffic across continents. In Digital synthetic data and outputs (pp. 379–408). IGI Global. https://doi.org/10.4018/979-8-3373-2277-3.ch015 (ISBN 979-8-3373-2277-3)
  6. Kalinaki, K., Malik, O. A., Alfarisy, G. A., & Nassanga, J. (2026). NFT security in smart cities: An exploration of challenges, countermeasures, and emerging trends. In Non-fungible tokens (NFTs) in smart cities: Advancements and security challenges (pp. 201–234). IGI Global. https://doi.org/10.4018/979-8-3693-8876-1.ch008 (ISBN 979-8-3693-8876-1)
  7. Kalinaki, K. (2025). Internet of Health Things (IoHT): An exploration of the principles, components, architectures, challenges, and real-world applications. In Cybersecurity for Internet of Health Things (pp. 3–25). Taylor & Francis. https://doi.org/10.1201/9781003483267-2 (ISBN 978-1-003-48326-7)
  8. Zakari, R. Y., Kalinaki, K., Lawal, Z. K., & Abdulrazak, N. (2025). Advances in wildfire spread detection and prediction: Techniques, challenges, and applications. In Artificial intelligence and computer vision for ecological informatics (pp. 9–35). Taylor & Francis. https://doi.org/10.1201/9781003518778-2 (ISBN 978-1-003-51877-8)
  9. Zakari, R. Y., Lawal, Z. K., Kalinaki, K., & Shafik, W. (2025). Leveraging remote sensing for agriculture mapping: Techniques, applications, and future directions. In Artificial intelligence and computer vision for ecological informatics (pp. 36–66). Taylor & Francis. https://doi.org/10.1201/9781003518778-3 (ISBN 978-1-003-51877-8)
  10. Shafik, W., Zakari, R. Y., & Kalinaki, K. (2025). Ethical and privacy concerns in bioinformatics and cyber-physical systems integration in healthcare. In AI-driven personalized healthcare solutions (pp. 333–364). IGI Global. https://doi.org/10.4018/979-8-3693-7858-8.ch012 (ISBN 979-8-3693-7858-8)
  11. Kalinaki, K., & Kalinaki, A. (2025). Big data’s impact on healthcare and bioinformatics. In Cyber-physical systems security (pp. 23–51). Springer. https://doi.org/10.1007/978-981-97-5734-3_2 (ISBN 978-981-97-5734-3)
  12. Kalinaki, K. (2024). Ransomware threat mitigation strategies for protecting critical infrastructure assets. In Ransomware evolution (pp. 120–143). Taylor & Francis. https://doi.org/10.1201/9781003469506-10 (ISBN 978-1-003-46950-6)
  13. Aslam, M. M., Kalinaki, K., Tufail, A., Naim, A. G. H., Khan, M. Z., & Ali, S. (2025). Social engineering attacks in the Industrial Internet of Things and smart industry: Detection and prevention. In Emerging threats and countermeasures in cybersecurity (pp. 389–412). Wiley. https://doi.org/10.1002/9781394230600.ch17 (ISBN 978-1-394-23060-0)
  14. Kalinaki, K. (2024). IoT and blockchain integration for enhanced AI-driven business intelligence. In Intersection of AI and business intelligence in data-driven decision-making (pp. 21–52). IGI Global. https://doi.org/10.4018/979-8-3693-5288-5.ch002 (ISBN 979-8-3693-5288-5)
  15. Hidayatullah, A. F., Kalinaki, K., Gul, H., Zakari, R. Y., & Shafik, W. (2024). Leveraging natural language processing for enhanced text analysis in business intelligence. In Intersection of AI and business intelligence in data-driven decision-making (pp. 151–182). IGI Global. https://doi.org/10.4018/979-8-3693-5288-5.ch006 (ISBN 979-8-3693-5288-5)
  16. Kalinaki, K., Zakari, R. Y., & Shafik, W. (2024). Emerging trends in cybersecurity applications in healthcare systems. In Cybersecurity in emerging healthcare systems (pp. 107–128). Institution of Engineering and Technology. https://doi.org/10.1049/PBHE064E_ch4 (ISBN 978-1-83953-951-0)
  17. Zakari, R. Y., Kalinaki, K., Lawal, Z. K., & Abdulrazak, N. (2024). Federated learning for enhanced cybersecurity in modern digital healthcare systems. In Cybersecurity in emerging healthcare systems (pp. 579–606). Institution of Engineering and Technology. https://doi.org/10.1049/PBHE064E_ch19 (ISBN 978-1-83953-951-0)
  18. Alli, A. A., Kalinaki, K., Fahadi, M., & Ibrahim, L. (2024). Securing Industrial Internet of Things (IIoT): A review of technologies, strategies, challenges, and future trends. In Artificial intelligence solutions for cyber-physical systems (pp. 244–263). Taylor & Francis. https://doi.org/10.1201/9781032694375-14 (ISBN 978-1-032-69437-5)
  19. Salam, M. A., Rayun, S. M. N., Islam, W., Hasan, R., Firmansyah, E. A., & Kalinaki, K. (2024). Consumer engagement: Exploring deepfake applications in consumer marketing communication. In Navigating the world of deepfake technology (pp. 397–421). IGI Global. https://doi.org/10.4018/979-8-3693-5298-4.ch020 (ISBN 979-8-3693-5298-4)
  20. Shafik, W., Kalinaki, K., Fahim, K. E., & Adam, M. (2024). Safeguarding data privacy and security in federated learning systems. In Federated deep learning for healthcare: A practical guide with challenges and opportunities (pp. 170–190). Taylor & Francis. https://doi.org/10.1201/9781032694870-13 (ISBN 978-1-032-69487-0)
  21. Kalinaki, K., Malik, O. A., Yahya, U., & Lai, D. T. C. (2024). Federated learning challenges and risks in modern digital healthcare systems. In Federated learning for digital healthcare systems (pp. 283–300). Elsevier. https://doi.org/10.1016/B978-0-443-13897-3.00004-7 (ISBN 978-0-443-13897-3)
  22. Kalinaki, K., Alli, A. A., Asuman, B., & Zakari, R. Y. (2024). Secure federated learning in the Internet of Health Things for improved patient privacy and data security. In Federated learning for digital healthcare systems (pp. 387–408). Elsevier. https://doi.org/10.1016/B978-0-443-13897-3.00003-5 (ISBN 978-0-443-13897-3)
  23. Zakari, R. Y., Lawal, Z. K., Kalinaki, K., & Maiwada, U. D. (2024). Time series forecasting techniques for climate trend prediction. In Reshaping environmental science through machine learning and IoT (pp. 282–310). IGI Global. https://doi.org/10.4018/979-8-3693-2351-9.ch014 (ISBN 979-8-3693-2351-9)
  24. Aslam, M. M., Zakari, R. Y., Tufail, A., Ali, S., Kalinaki, K., & Shafik, W. (2024). Introduction to Industry’s Fourth Revolution and its impacts on healthcare. In Digital transformation in Healthcare 5.0 (p. 33). De Gruyter. https://doi.org/10.1515/9783111327853-002 (ISBN 978-3-11-132785-3)
  25. Abubakari, M. S., & Kalinaki, K. (2024). Digital competence in Islamic education for lifelong learning: Preliminary analysis using the DigComp 2.1 framework. In Embracing technological advancements for lifelong learning (pp. 1–31). IGI Global. https://doi.org/10.4018/979-8-3693-1410-4.ch001 (ISBN 979-8-3693-1410-4)
  26. Shafik, W., & Kalinaki, K. (2024). Impact of 5G security on smart cities’ Internet of Things implementation. In Digital technologies in modeling and management: Insights in education and industry (pp. 210–229). IGI Global. https://doi.org/10.4018/978-1-6684-9576-6.ch010 (ISBN 978-1-6684-9576-6)
  27. Kalinaki, K., Shafik, W., Masha, M., & Alli, A. A. (2024). A review of artificial intelligence techniques for improved cloud and IoT security. In Emerging technologies for securing the cloud and IoT (pp. 38–68). IGI Global. https://doi.org/10.4018/979-8-3693-0766-3.ch002 (ISBN 979-8-3693-0766-3)
  28. Shafik, W., Kalinaki, K., & Zakari, R. Y. (2024). Blockchain’s motivation for IoT-enabled smart cities. In Secure and intelligent IoT-enabled smart cities (pp. 195–221). IGI Global. https://doi.org/10.4018/979-8-3693-2373-1.ch010 (ISBN 979-8-3693-2373-1)
  29. Kalinaki, K., Acaru, S. F., Kugonza, J., & Nsubuga, R. (2024). Towards an intelligent tomorrow: Machine learning enabling sustainable development. In Methodologies, frameworks, and applications of machine learning (pp. 66–89). IGI Global. https://doi.org/10.4018/979-8-3693-1062-5.ch004 (ISBN 979-8-3693-1062-5)
  30. Kalinaki, K., Shafik, W., Namuwaya, S., & Namuwaya, S. (2024). Perspectives, applications, challenges, and future trends of IoT-based logistics. In Navigating cyber threats and cybersecurity in the logistics industry (pp. 148–171). IGI Global. https://doi.org/10.4018/979-8-3693-3816-2.ch005 (ISBN 979-8-3693-3816-2)
  31. Fahim, K. E., Kalinaki, K., De Silva, L. C., & Yassin, H. (2024). The role of machine learning in improving power distribution systems resilience. In Future modern distribution networks resilience (pp. 329–352). Elsevier. https://doi.org/10.1016/B978-0-443-16086-8.00012-0 (ISBN 978-0-443-16086-8)
  32. Shafik, W., Hidayatullah, A. F., Kalinaki, K., & Aslam, M. M. (2024). Artificial intelligence-assisted computer vision in healthcare systems. In Computer vision and AI-integrated IoT technologies in the medical ecosystem (pp. 17–36). Taylor & Francis. https://doi.org/10.1201/9781003429609-2 (ISBN 978-1-003-42960-9)
  33. Kalinaki, K., Abdullatif, M., Nasser, S. A.-K., Nsubuga, R., & Kugonza, J. (2024). Paving the path to a sustainable digital future with green cloud computing. In Emerging trends in cloud computing analytics, scalability, and service models (pp. 44–66). IGI Global. https://doi.org/10.4018/979-8-3693-0900-1.ch002 (ISBN 979-8-3693-0900-1)
  34. Kalinaki, K., Yahya, U., Malik, O. A., & Lai, D. T. C. (2024). A review of big data analytics and artificial intelligence in Industry 5.0 for smart decision-making. In Human-centered approaches in Industry 5.0 (pp. 24–47). IGI Global. https://doi.org/10.4018/979-8-3693-2647-3.ch002 (ISBN 979-8-3693-2647-3)
  35. Zakari, R. Y., Shafik, W., Kalinaki, K., & Iheaturu, C. J. (2024). Internet of Forestry Things technologies and applications in forest management. In Advanced IoT technologies and applications in the Industry 4.0 digital economy (pp. 275–295). Taylor & Francis. https://doi.org/10.1201/9781003434269-15 (ISBN 978-1-003-43426-9)
  36. Shafik, W., & Kalinaki, K. (2023). Smart city ecosystem: An exploration of requirements, architecture, applications, security, and emerging motivations. In Handbook of research on network-enabled IoT applications for smart city services (pp. 75–98). IGI Global. https://doi.org/10.4018/979-8-3693-0744-1.ch005 (ISBN 979-8-3693-0744-1)
  37. Fahim, K. E., Kalinaki, K., & Shafik, W. (2023). Electronic devices in the artificial intelligence of the Internet of Medical Things (AIoMT). In Handbook of security and privacy of AI-enabled healthcare systems and Internet of Medical Things (pp. 41–62). Taylor & Francis. https://doi.org/10.1201/9781003370321-3 (ISBN 978-1-003-37032-1)
  38. Kalinaki, K., Fahadi, M., Alli, A. A., Shafik, W., Yasin, M., & Mutwalibi, N. (2023). Artificial intelligence of Internet of Medical Things (AIoMT) in smart cities: A review of cybersecurity for smart healthcare. In Handbook of security and privacy of AI-enabled healthcare systems and Internet of Medical Things (pp. 271–292). Taylor & Francis. https://doi.org/10.1201/9781003370321-11 (ISBN 978-1-003-37032-1)
  39. Kalinaki, K., Namuwaya, S., Mwamini, A., & Namuwaya, S. (2023). Scaling up customer support using artificial intelligence and machine learning techniques. In Contemporary approaches of digital marketing and the role of machine intelligence (pp. 23–45). IGI Global. https://doi.org/10.4018/978-1-6684-7735-9.ch002 (ISBN 978-1-6684-7735-9)
  40. Kalinaki, K., Shafik, W., Gutu, T. J. L., & Malik, O. A. (2023). Computer vision and machine learning for smart farming and agriculture practices. In Artificial intelligence tools and technologies for smart farming and agriculture practices (pp. 70–100). IGI Global. https://doi.org/10.4018/978-1-6684-8516-3.ch005 (ISBN 978-1-6684-8516-3)
  41. Kalinaki, K., Thilakarathne, N. N., Mubarak, H. R., Malik, O. A., & Abdullatif, M. (2023). Cybersafe capabilities and utilities for smart cities. In Cybersecurity for smart cities: Practices and challenges (pp. 71–86). Springer. https://doi.org/10.1007/978-3-031-24946-4_6 (ISBN 978-3-031-24946-4)
  42. Alli, A. A., Kalinaki, K., Mutwalibi, N., Hamid, H., & Ibrahim, L. (2021). Secure fog-cloud of things: Architectures, opportunities, and challenges. In Secure edge computing (pp. 3–20). Taylor & Francis. https://doi.org/10.1201/9781003028635-2 (ISBN 978-1-003-02863-5)
  1. Kisejjere, R., Kakande, A., Sserwadda, A., & Kalinaki, K. (2025). Building a SMART recommendation system using content-based filtering and case-based reasoning approaches to ease access to medical services in Uganda. In Proceedings of the 10th International Conference on Information Technology and Digital Application (ICITDA) (pp. 1–7). IEEE. https://doi.org/10.1109/ICITDA68167.2025.11332450 (Print ISBN 979-8-3315-9404-6; electronic ISBN 979-8-3315-9403-9)
  2. Nassanga, J., Kalinaki, K., & Tushabe, F. (2025). Enhancing urban mobility: A fuzzy logic-based adaptive traffic decongestion model for Kampala City. In Proceedings of the 10th International Conference on Information Technology and Digital Application (ICITDA) (pp. 1–7). IEEE. https://doi.org/10.1109/ICITDA68167.2025.11332346 (Print ISBN 979-8-3315-9404-6; electronic ISBN 979-8-3315-9403-9)
  3. Ummusalaam, A., Ocen, G. G., Matovu, D., & Kalinaki, K. (2025). A cybercrime incident response management and recovery framework for Kampala Metropolitan Area. In Proceedings of the 2025 IST-Africa Conference (IST-Africa). IEEE. https://doi.org/10.23919/IST-Africa67297.2025.11060538 (Print ISBN 979-8-3315-9501-2; electronic ISBN 978-1-905824-75-5)
  4. Nabukeera, M., Kalinaki, K., Matovu, M., & Salam, M. A. (2025). Evaluating 4G network reach and fiber node proximity across Uganda’s sub-regions. In Proceedings of the 2nd International Conference on Machine Intelligence and Emerging Technologies (MIET 2024) (pp. 239–248). Springer. https://doi.org/10.1007/978-981-96-2721-9_16 (Print ISBN 978-981-96-2720-2; online ISBN 978-981-96-2721-9)
  5. Kalinaki, K., Malik, O. A., & Lai, D. T. C. (2024). Forest canopy cover mapping in high-resolution multisource satellite imagery using attention recurrent residual U-Net. In TENCON 2024—IEEE Region 10 Conference. IEEE. https://doi.org/10.1109/TENCON61640.2024.10902705 (Print ISBN 979-8-3503-5083-8; electronic ISBN 979-8-3503-5082-1)
  6. Aslam, M. M., Tufail, A., Apong, R. A. A. H. M., De Silva, L. C., Kalinaki, K., & Namoun, A. (2024). ICS deployment optimization with time delay reduction and energy efficiency in IWSNs. In 2024 IEEE Wireless Communications and Networking Conference (WCNC). IEEE. https://doi.org/10.1109/WCNC57260.2024.10570507 (Electronic ISBN 979-8-3503-0358-2; electronic ISSN 1558-2612)
  7. Shafik, W., & Kalinaki, K. (2024). Societal and ethical implications of technology-enhanced agriculture and healthcare: An African context. In Proceedings of the 2024 IST-Africa Conference. IEEE. https://doi.org/10.23919/IST-Africa63983.2024.10569306 (Print ISBN 979-8-3503-5659-5; electronic ISBN 978-1-905824-73-1)
  8. Chemisto, M., Kalinaki, K., Oloya, I. T., Gutu, T. J. L., Egau, P., Kirya, F., Mwebesa, D. B., & Kisitu, R. (2024). ICT for improved maternal healthcare in Uganda: A systematic literature review. In Proceedings of the 2024 IST-Africa Conference. IEEE. https://doi.org/10.23919/IST-Africa63983.2024.10569857 (Print ISBN 979-8-3503-5659-5; electronic ISBN 978-1-905824-73-1)
  9. Hidayatullah, A. F., Kalinaki, K., Aslam, M. M., Zakari, R. Y., & Shafik, W. (2023). Fine-tuning BERT-based models for negative content identification on Indonesian tweets. In Proceedings of the 8th International Conference on Information Technology and Data Applications (ICITDA). IEEE. https://doi.org/10.1109/ICITDA60835.2023.10427046 (Print ISBN 979-8-3503-4470-7; electronic ISBN 979-8-3503-4469-1)
  10. Aslam, M. M., Tufail, A., Ahmed, Z., Kalinaki, K., Nasir, M., & Apong, R. A. A. H. M. (2023). Spectrum sharing and consensus performance of vehicular networks based on deep multi-user reinforcement learning. In 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, Pervasive Intelligence and Computing, Cloud and Big Data Computing, Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). IEEE. https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361294 (Print ISBN 979-8-3503-0461-9; electronic ISBN 979-8-3503-0460-2)
  11. Chemisto, M., Gutu, T. J. L., Kalinaki, K., Mwebesa, D. B., Egau, P., Kirya, F., Oloya, I. T., & Kisitu, R. (2023). Artificial intelligence for improved maternal healthcare: A systematic literature review. In Proceedings of the 2023 IEEE AFRICON. IEEE. https://doi.org/10.1109/AFRICON55910.2023.10293674 (Print ISBN 979-8-3503-3622-1; electronic ISBN 979-8-3503-3621-4)
  12. Shafik, W., Matinkhah, S. M., & Kalinaki, K. (2023). An intrusion anomaly detection approach to mitigate sensor attacks on mechatronics systems. In Proceedings of the International Conference on Mechanical, Automotive and Mechatronics Engineering (ICMAME). https://doi.org/10.53375/icmame.2023.113 (ISBN 978-625-00-1526-1)

Email: kkalinaki@utamu.ac.ug