About
Professor Mba. O. Odim is a Professor of Computer Science at Mountain Top University, Nigeria, and Director of the University’s Information and Communication Technology Unit.
Professor Odim has over 24 years of experience in teaching, research, academic leadership, supervision, and mentoring. He has served as Head of the Department of Computer Science and in other leadership and administrative capacities at Mountain Top University, Redeemer’s University, and Babcock University.
His areas of expertise include Artificial Intelligence, Data Science, Information Security, Algorithm Design, and System Modelling, with applications in cybersecurity, healthcare, and network management. He has contributed to several research projects including the NHIS-funded Data Science and Medical Image Training in Nigeria (DATICAN) Grant (2023–2026), and the Redeemer’s University Research Grant on the Diachronic Evolution of English in Nigeria (HiCE–Nig) (2018– 2021).
He holds a PhD in Computer Science from the University of Ilorin, MSc and PGD from University of Lagos and BSc in Statistics from University of Nigeria. He is an IBM Artificial Intelligence Mastery and Explorer Awardee. He is an alumnus of the MacLean Center for Clinical Medical Ethics, University of Chicago, USA and a DATICAN Fellow at the University of Chicago Center for Innovation in Global Health.
Professor Odim is a researcher, experienced speaker, and mentor. He is a professional member of the Nigeria Computer Society (NCS), Computer Professionals (Registration Council) of Nigeria (CPN), and West African Anglophone Quality Assurance Network (WAAQAN).
He is deeply committed to technological innovation, cybersecurity, digital transformation, and developing the next generation of computing professionals.
Academic Qualifications
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Ph.D. — Computer Science
University of Ilorin • 2015
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MS.c. — Computer Science
University of Lagos • 1998
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PGD — Computer Science
University of Lagos • 1997
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BS.c. — Statistics
University of Nigeria • 1994
Professional Bodies & Associations
No professional associations recorded yet.
Research Publications
📊 22 Total Article ClicksTomatoDetect: A ConvNet-Powered Mobile Application for Detecting Tomato Leaf Diseases
Tomatoes are a mainstay in Nigerian cuisine, showing up in a variety of cuisines and offering several nutritional advantages like Vitamin C, potassium, and lycopene, which guard against cancer and heart disease. Nigeria now produces 10.8% of all fre...
Comparative Analysis of Selected Machine Learning Algorithms for Lumbar Spinal Stenosis Classification.
Lumbar spinal stenosis (LSS) represents a prevalent etiology of low back discomfort among the adult population, attributable to a constriction that exerts pressure on the spinal cord or nerve roots. Accurate and timely diagnosis is crucial for effect...
Development Of A Mobile-Based Accident Detection And Notification System With Multi-Modal Data
Road accidents is one of the factors responsible for fatalities and lifelong disabilities globally. The predominant increase in mortality rate on the highway has been attributed to the late arrival of emergency authorities, which could be because of...
A Comparative Study of Two Convolutional Neural Network Models for Detecting Rice Plant Diseases Using Online and Local Image Data
Rice is one of the most widely staple foods around the globe, however, rice fields are severely affected by diseases, which can disrupt global food security. Early and accurate detection of rice diseases is essential for the recovery of such rice pla...
Distribution patterns of airborne bacteria and fungi in a teaching, public and private hospital in southwestern Nigeria
Air harbors a substantial number of microorganisms the assessment of which is critical for healthy human living. The assessment of airborne bacteria and fungi in and around three hospitals in southwest Nigeria; the University Teaching hospital Ibadan...
Analysis of K- Nearest Neighbor for Network Intrusion Detection
Computer network Intrusion is an unauthorised action or activity on a network. The threat of intrusions on cyber-security has grown significantly recently. Various techniques are used to counteract these dangers with some levels of detection acc...
The Vogel Approximation and North West Corner Transportation Models for Optimal Cost Distribution of Dangote Cement
Most industrial and service organizations now include transportation logistics and management in their business decision making process. The cost of transportation and the distribution of goods from manufacturing facilities to depots raise transp...
Introducing the Historical Corpus of English in Nigeria (HiCE–Nig): A database for investigating diachronic linguistic changes in Nigerian English
Nigerian English (NigE) is a second language (L2) variety of English that has been domesticated, acculturated and indigenised within the Nigerian socio-cultural and linguistic contexts (Adegbija, 2004). Based on Schneider's (2007) Dynamic Model of th...
XAPP: An Implementation of SAX-Based Method for Mapping XML Document to and from a Relational Database
Extensible Markup Language (XML) is the standard medium for data exchange among businesses over the Internet, hence the need for effective management. However, since XML was not designed for storage and retrieval, its management has become an open...
Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-Coronavirus-2 or SARS-CoV-2), which came into existence in 2019, is a viral pandemic that caused coronavirus disease 2019 (COVID-19) illnesses and death. Research showed that relentless efforts ha...
VoIP Codec Performance Evaluation on GRE with IPsec over IPv4 and IPv6
Scientists succeeded in implementing conventional public switch telephone network (PSTN) into internet protocol by launching H.323 IP telephony. The irrelevant and unknown captions in H.323, computer scientists have replaced H.323 by Session Initiati...
An Adaptive Thresholding Algorithm-Based Optical Character Recognition System for Information Extraction in Complex Images
Extracting texts from images with complex backgrounds is a major challenge today. Many existing Optical Character Recognition (OCR) systems could not handle this problem. As reported in the literature, some existing methods that can handle the pro...
Exploring the performance characteristics of the naïve bayes classifier in the sentiment analysis of an Airline’s social media data
Airline operators get much feedback from their customers which are vital for both operational and strategic planning. Social media has become one of the most popular platforms for obtaining such feedback. However, to analyze, categorize, and generate...
Face-Age Modeling: A Pattern Recognition Analysis for Age Estimation
This One way to explain the concept of face recognition is to see it as the computational ability engaged in verifying the identity of a person on the basis of the face image regardless of background, face-attachment, face-makeup and illumination. Fa...
The design of a hybrid model-based journal recommendation system
There is currently an overload of information on the internet, and this makes information search a challenging task. Researchers spend a lot of man-hour searching for journals related to their areas of research interest that can publish their resea...
Pollen Characterization and Physicochemical Analysis of Six Nigerian Honey Samples; Test for Authenticity
Honey is a popular product consumed for its health benefits. It is an effective antimicrobial an antioxidant agent. Globally, palynological and chemical methods are among the means of authenticating honey quality, geographical origin and floral ori...
Understanding E-health Application Utilizing Internet of Things (IoT) Technologies
E-Health applications make room for exchange of information between medical professionals and patients, hospitals to hospitals, lower cost, increased scope and extent of medical facilities, as well as improving the quality of services. Despite all th...
Understanding E-health Application Utilizing Internet of Things (IoT) Technologies
E-Health applications make room for exchange of information between medical professionals and patients, hospitals to hospitals, lower cost, increased scope and extent of medical facilities, as well as improving the quality of services. Despite all th...
Required Bandwidth Capacity Estimation Scheme For Improved Internet Service Delivery: A Machine Learning Approach
This paper proposed a data driven, machine learning traffic modelling approach for estimating required bandwidth during telecommunication planning for good quality service delivery. The multilayer perceptron was employed to estimate the offered traf...
A Comparative Study of Some Traditional and Modern Cryptographic Techniques
In the era of Internet and networks applications with the attendant prevalence of virus attacks, and intrusion of various kinds and intensities, information security has become a major challenge. There is a demand for stronger encryption techniques w...
Modelling the multi-layer artificial neural network for internet traffic forecasting: The model selection design issues
Internet traffic forecasting models with learning ability, such as the artificial neural network (ANN), have been growing in popularity in recent time due to their impressive performance in modelling the high degree of variability and nonlinearity...
Modelling of the Feed Forward Neural Network with its Application in Medical Diagnosis
This study explores a data mining technique to solve the problem associated with the medical diagnosis of acute inflammations and acute nephritises of the urinary system. Medical diagnosis is a complex classification problem that lacks an analytic...
A Neural Network Model for Improved Internet Service Resource Provisioning
The paper seeks for a good forecast model that can accurately represent the inherent characteristics of Internet traffic and forecast the desired traffic load to satisfy the performance target using Artificial Neural network technology. We developed...
On the Fitness Measure of Genetic Algorithm for Generating Institutional Lecture Timetable
We conducted a study on the performance of genetic algorithm in designing institutional lecture time table, using empirical data of a college in a University. The study was focused on assessing the effectiveness of the algorithm given a number of h...