Kassim Kalinaki

Kassim Kalinaki (MIEEE) is a passionate technologist, researcher, and educator with more than ten years of experience in the industry and academia. He received his Diploma in Computer engineering from Kyambogo University, a BSc in computer science and engineering, and an MSc. Computer Science and Engineering from Bangladesh's Islamic University of Technology (IUT). Since 2014, He has lectured at the Islamic University in Uganda (IUIU), where he most recently served as the Head of Department Computer Science department (2019-2022). Currently, he's been pursuing his Ph.D. in Computer Science at the School of Digital Science at Universiti Brunei Darussalam (UBD) since January 2022 and is slated to complete in August 2025. He’s the founder and principal investigator of Borderline Research Laboratory (BRLab) and his areas of research include Ecological Informatics, Data Analytics, Computer Vision, ML/DL, Digital Image Processing, Cybersecurity, IoT/AIoMT, Remote Sensing, and Educational Technologies. He has authored and co-authored several published peer-reviewed articles in renowned journals and publishers, including Springer, Elsevier, Taylor & Francis, IGI Global, Emerald, and IEEE.

Publications

A Review of Big Data Analytics and Artificial Intelligence in Industry 5.0 for Smart Decision-Making
A Review of Big Data Analytics and Artificial Intelligence in Industry 5.0 for Smart Decision-Making
Kassim Kalinaki, Umar Yahya, Owais Ahmed Malik, Daphne Teck Ching Lai. © 2024. 24 pages.
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...
Paving the Path to a Sustainable Digital Future With Green Cloud Computing
Paving the Path to a Sustainable Digital Future With Green Cloud Computing
Kassim Kalinaki, Musau Abdullatif, Sempala Abdul-Karim Nasser, Ronald Nsubuga, Julius Kugonza. © 2024. 23 pages.
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...
Perspectives, Applications, Challenges, and Future Trends of IoT-Based Logistics
Perspectives, Applications, Challenges, and Future Trends of IoT-Based Logistics
Kassim Kalinaki, Wasswa Shafik, Sarah Namuwaya, Sumaya Namuwaya. © 2024. 24 pages.
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...
Towards an Intelligent Tomorrow: Machine Learning Enabling Sustainable Development
Towards an Intelligent Tomorrow: Machine Learning Enabling Sustainable Development
Kassim Kalinaki, Silviu Florin Acaru, Julius Kugonza, Ronald Nsubuga. © 2024. 24 pages.
Sustainable development has become a global imperative in the 21st century as societies grapple with environmental, social, and economic challenges. Machine learning (ML), a...
A Review of Artificial Intelligence Techniques for Improved Cloud and IoT Security
A Review of Artificial Intelligence Techniques for Improved Cloud and IoT Security
Kassim Kalinaki, Wasswa Shafik, Magezi Masha, Adam A. Alli. © 2024. 31 pages.
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...
Blockchain's Motivation for IoT-Enabled Smart City
Blockchain's Motivation for IoT-Enabled Smart City
Wasswa Shafik, Kassim Kalinaki, Rufai Yusuf Zakari. © 2024. 27 pages.
This study examines the fusion of blockchain technology with the internet of things (IoT) in smart cities, exploring how Blockchain's traits like immutability...
Digital Competence in Islamic Education for Lifelong Learning: Preliminary Analysis Using DigComp 2.1 Framework
Digital Competence in Islamic Education for Lifelong Learning: Preliminary Analysis Using DigComp 2.1 Framework
Mussa Saidi Abubakari, Kassim Kalinaki. © 2024. 31 pages.
In Islamic education, the infusion of digital tools is reshaping conventional paradigms, demanding the cultivation of digital competence (DC) as a pivotal skill. Balancing...
Time Series Forecasting Techniques for Climate Trend Prediction
Time Series Forecasting Techniques for Climate Trend Prediction
Rufai Yusuf Zakari, Zaharaddeen Karami Lawal, Kassim Kalinaki, Umar Danjuma Maiwada. © 2024. 29 pages.
Climate change is a pressing global issue that profoundly impacts ecosystems, economies, and societies. Accurate climate trend prediction is crucial for informed decision-making...
Computer Vision and Machine Learning for Smart Farming and Agriculture Practices
Computer Vision and Machine Learning for Smart Farming and Agriculture Practices
Kassim Kalinaki, Wasswa Shafik, Tar J. L. Gutu, Owais Ahmed Malik. © 2023. 22 pages.
The advent of cutting-edge techniques such as Computer Vision (CV) and Artificial Intelligence (AI) have sparked a revolution in the agricultural industry, with applications...
Scaling Up Customer Support Using Artificial Intelligence and Machine Learning Techniques
Scaling Up Customer Support Using Artificial Intelligence and Machine Learning Techniques
Kassim Kalinaki, Sumaya Namuwaya, Aminah Mwamini, Sarah Namuwaya. © 2023. 23 pages.
Cutting-edge technological advancements in artificial intelligence (AI) and its associated technologies such as machine learning (ML) and deep learning (DL) have garnered immense...
Smart City Ecosystem: An Exploration of Requirements, Architecture, Applications, Security, and Emerging Motivations
Smart City Ecosystem: An Exploration of Requirements, Architecture, Applications, Security, and Emerging Motivations
Wasswa Shafik, Kassim Kalinaki. © 2023. 24 pages.
This chapter explores the growing use of technology in various aspects of people's lives and focuses on smart cities. First, it provides a comprehensive survey that examines...