Mr. Falalu Ibrahim Lawan is a Lecturer and acting Head of Intelligent Computing Department. He specializes in Artificial Intelligence (AI), Natural Language Processing (NLP), and Sentiment Analysis. He earned his undergraduate degree from the International University of East Africa, Uganda and completed his Master’s at the African University of Science and Technology, Nigeria.
At KASU, Mr. Lawan has been instrumental in advancing AI and NLP research, particularly focusing on African languages. His notable publications include contributions to “Afrisenti: A Twitter Sentiment Analysis Benchmark for African Languages” and “AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages.” Read More
The Philosophy of the Intelligent Computing Program at Kaduna State University
The Intelligent Computing program at KASU is centered on equipping students with the knowledge and skills to design, develop, and implement intelligent systems for solving complex problems across various industries. Our approach integrates theory, cutting-edge technology, and practical applications, addressing the increasing demand for intelligent solutions in today’s digital world.
Our curriculum provides students with expertise in artificial intelligence, machine learning, robotics, and big data, preparing them to tackle challenges in fields such as healthcare, business, finance, and technology. The program also emphasizes critical thinking, problem-solving, and the ethical use of intelligent systems.
Graduates from this program are highly skilled and prepared for successful careers in diverse sectors, including tech companies, government agencies, research institutions, and private enterprises, contributing to intelligent innovations and advancements.
Join KASU and gain the expertise needed to lead in the field of intelligent computing and contribute to a smarter, technology-driven future.
The Department of Intelligent Computing offers undergraduate and postgraduate degree programmes in:
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The Department of Intelligent Computing offers a BSc. Data Science and BSc. Artificial intelligence. This places it at the forefront of technological innovation, merging theoretical knowledge with practical applications to solve real-world problems. Students are equipped with data analytics, machine learning, and artificial intelligence skills, preparing them to navigate and lead in the digital era.
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Our departments’ research agendas focus on key areas in data science and artificial intelligence, including machine learning, big data analytics, cybersecurity, and intelligent systems. Faculty and students collaborate on research that addresses emerging technological challenges and contributes to groundbreaking advancements in data science and artificial intelligence, driving innovation across various industries.
We organize a dynamic schedule of seminars, workshops, and conferences featuring renowned experts from the fields of data science and artificial intelligence. These events provide students with invaluable networking opportunities and insights into the latest advancements, research, and best practices shaping the world of data-driven technologies and intelligent systems.
THE LIBRARY
Our departments’ library is a rich repository of specialized journals, technical research papers, and foundational texts, providing students with access to extensive knowledge across data science, artificial intelligence, software engineering, and big data analytics. These resources reinforce critical understanding and foster a culture of continuous learning, supporting research, innovation, and technological advancement.
COMMUNITY ENGAGEMENT
Our commitment to technological advancement and community engagement in the Departments of Intelligent Computing is demonstrated through impactful programs, including:
Coding and software development workshops for students and professionals
Digital literacy initiatives for local communities
Free IT support and consultation services for small businesses and organizations
These outreach programs provide students with invaluable hands-on experience, helping to bridge the digital divide, enhance technological skills, and drive innovation in society.
STUDENTS HANDBOOK
The Department of Intelligent Computing Student Handbook
The Student Handbook is an essential resource, providing detailed guidance on academic policies, program requirements, and available resources. It is designed to support students in their academic journey and professional development. Access the full handbook [here].
For any inquiries, please contact the Head of Department.
