From Bias to Breakthroughs: Prof. Arnold Ojugo Reimagines Role of Intelligent Systems
By Wilson Macaulay
At the Federal University of Petroleum Resources, Effurun (FUPRE), the 10th Inaugural Lecture offered more than academic discourse—it offered a vision for the future. On April 11, 2025, Professor Arnold Adimabua Ojugo, Distinguished Computer Scientist and Pioneer Dean of FUPRE’s College of Computing, delivered a compelling lecture titled “Riding the Stormy Dynamics of Biased Data: Knowledge-Driven Opportunities and Implications for Society.”
Drawing from over 16 years of research, Prof. Ojugo painted a vivid picture of how intelligent systems, powered by artificial intelligence, machine learning, and data mining, are not just digital tools but pivotal agents of change in modern society. He argued that in a world awash with chaotic and biased data, intelligent models enable humanity to extract clarity, drive productivity, and uncover truth from the noise.
“Machine learning skillsets empower us to derive intelligent insights from the void of chaos,” he stated, highlighting the centrality of domain expertise and algorithmic precision in transforming raw data into actionable knowledge.
One of the most impactful segments of the lecture was his introduction of the productivity equation, a framework showing how AI tools minimize inefficiencies and boost performance—especially in hybrid and remote work models accelerated by the COVID-19 pandemic. According to Prof. Ojugo, collaboration driven by intelligent systems reduces rework and helps unearth hidden tasks that affect team dynamics.
In the realm of education, Prof. Ojugo’s learner-centric model showcased how AI can be used to tailor instruction through a mix of visual (40%), kinesthetic (40%), and audio (20%) engagement strategies. This approach, he argued, makes learning more accessible and impactful, fostering deeper comprehension and real-world application.
His message was clear: AI is not magic—it is method. Without high-quality data and contextual understanding, even the most sophisticated algorithms can fail. “We must not worship the tool; we must respect the process,” he cautioned.
FUPRE Vice Chancellor, Prof. Akpofure Rim-Rukeh, applauded the lecture for its depth, relevance, and scholarly excellence. In recognition of his outstanding contribution, Prof. Ojugo was awarded a medal and a commemorative plaque.
The lecture attracted an esteemed audience including Prof. Doris Fovwe Ogeleka (DVC Admin), Prof. Goodswill Oreva Ofualagba (DVC Academics), Dr. Jane Omoyime (Registrar), Mr. Garba Nabayi (Bursar), and Prof. Mercy Anyaegbu (Librarian), as well as distinguished external participants like Dr. Chris ‘E Onyemenam, Prof. R.B. Ikomi, Hon. Frank Esenwa, and Ms. Rita Okonjo of the NUC.
