Staff Profile

Taiwo Kolajo

Research Interests

  • Artificial Intelligence@Big Data Analytics@Machine Learning@Natural Language Processin@Data Mining@Text Mining@Social Media Analytics

Taiwo Kolajo

Level Coordinator

Senior Lecturer

Taiwo Kolajo (PhD), 2018 The World Academy of Sciences Research & Advanced Training (TWAS R&AT) scholar, currently lectures in the Department of Computer Science, Federal University Lokoja, Nigeria. She is skilled in Data Analysis, Python, and Databases. Her research interests include Artificial Intelligence, Big Data Analytics, Machine Learning, Natural Language Processing, Data Mining, Text Mining, Social Media Analytics. She is a member of the Nigeria Computer Society (NCS) and Teacher Registration Council of Nigeria (TRCN). 



  • Oloruntoba, K. R., Kolajo, T., and Agbogun, J. B. (2023). Flood prediction in Nigeria using ensemble machine learning techniques. Ilorin Journal of Science, 10(1), 44-61.

  • Idakwo, J., Agbogun, J. B., and Kolajo, T. (2023). A survey on recommendation system techniques. UMYU Scientifica, 2(2), 112-119.

  • 21. Kolajo, T., and Daramola, O. (2023). Human-centric and semantics-based explainable event detection: a survey. Artificial Intelligence Review, 56, 119-158. Springer.

  • Aliyu, A., Ogbuju, E., Kolajo, T., Ihinkalu, Olalekan, and Oladipo F. (2023). Government regulatory policies on telehealth data protection using artificial intelligence and blockchain technology. London: The IET Digital Library

  • Isiaka, D. O., Agbogun, J. B., and Kolajo, T. (2022). A framework for predictive – diagnosis of prevalent illness among university students.. Journal of Applied Artificial Intelligence, 3(2), 24-38.

  • Adown, S., Agbogun, J., and Kolajo, T. (2022). Blockchain-based model for public service internal audit and control management in local government. FUW Trends in Science & Technology Journal, 7(3), 260-269.

  • Idakwo, J., Agbogun, J. B., and Kolajo, T. (2022). Developing of a hybrid students’ career path recommender system using machine learning techniques. FUW Trends in Science & Technology Journal, 7(3), 236-242.

  • Kolajo, T., Daramola, O., and Adebiyi, A. A. (2022). Real-time event detection in social media streams through semantic analysis of noisy terms. Journal of Big Data, 9, 90. Springer.

  • Kolajo, T., Daramola, O., & Adebiyi, A. (2021). Streaming Data & Data Stream. Wiley StatsRef: Statistics Reference Online. United Kingdom: John Wiley & Sons, Ltd

  • Kolajo, T., Daramola, O., Adebiyi, A., & Seth, A (2020). A framework for pre-processing of social media feeds based on integrated local knowledge base. Information Processing & Management, 57(6). Elsevier

  • Kolajo, T., Daramola, O., and Adebiyi, A. (2019). Big data stream analysis: A systematic literature review. Journal of Big Data, 6, 47. Springer

  • Kolajo, T., Daramola O., and Adebiyi, A. (2019). Sentiment Analysis on Naija-Tweets. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (pp. 338-343). Florence, Italy: Association of Computational Linguistics (ACL)

  • Ogbuju, E., Kolajo, T., Ejiofor, V., and Onyesolu, M. (2018). Big data driven e-government framework in Nigeria. Kano: Bayero Journal of Pure and Applied Sciences

  • Kolajo, T., and Kolajo, O. J. (2018). Sentiment analysis on twitter health news. FUDMA Journal of Sciences, (FJS), 2(2): 14-20

  • Kolajo T., and Ogbuju, E. (2018). A trace of historical linkage of computer connectivity frameworks: From computer networks to the cloud of things. FUW Trends in Science and Technology Journal (FTSTJ), 964-971

  • Ogbuju, E., Abubakar, K., James, J., Kolajo, T., and Ejiofor, V (2018). Prediction of E-Government Development and Participation Indices in Nigeria. Accepted for publication in Journal of Research and Development in Arts and Social Sciences

  • Kolajo, T., Ogbuju, E., and Adewumi, S. E. (2018). Trends and technologies in big data analytics: A review. Confluence Journal of Pure and Applied Sciences, 1(1): 265-284

  • Kolajo, T., Ogbuju, E., and Adewumi, S. E. (2018). Trends and technologies in big data analytics: A review. Confluence Journal of Pure and Applied Sciences, 1(1): 265-284

  • Kolajo, T., and Daramola O. (2017). Leveraging big data to combat terrorism in developing countries. Proceedings of IEEE ICTAS 2017 Conference, Umhlanga, Durban, South Africa, May 9-10, 2017: IEEE

  • Kolajo, T. and Kolajo, O. J. (2015). Career guidance through admission procedures in Nigerian universities using artificial neural networks. International Journal of Advanced Research in Computer Science and Software Engineering, 5(9): 427-433

  • Daniel-Ani, U.P., Kolajo T., Ogbuju, E. and Adewumi, S. E. (2015). Internet capabilities for effective learning and research. International Journal of Innovation and Scientific Research. 13(1):341-348

  • Kolajo, T. (2013). Employing both Descriptive and Predictive Algorithms toward Improving Prediction Accuracy. Journal of Computer Science and Its Applications (An International Journal of the Nigeria Computer Society), 20(2): 1-12

  • Kolajo, T., and Adeyemo, A. B. (2012). Data mining technique for predicting telecommunications industry customer churn using both descriptive and predictive algorithms. Computing, Information Systems and Development Informatics and Allied Research Journal. 3(2): 27-34.

  • Simon, E. Y., Kolajo, T., and Osagbemi, K. (2011). Improving accessibility and Information Sharing of Medical Records using eMR. International Conference on ICT for Africa. 2(1): 57- 64

  • Kolajo, T., and Simon, E. Y. (2011). Promoting Rural Development and Poverty Alleviation Using ICTs. International Conference on ICT for Africa. 2(1): 145-152

  • Kolajo, T. (2009). Implementations Issues in e-education: Challenges and Prospects. International Journal of Research and Development. 7(1): 290-297

  • Kolajo, T. (2008). Improving the Qualities of Teacher Production in Tertiary Institution: A Look at the Issues on Computer as a Course of Study. Bichi Journal of Education 8(2): 47-53

  • Kolajo, T. (2007). Computer Education: A Basis for Teacher Preparation for National Education Reform. Bichi Journal of Education 7(1): 93-98


  • 2023 CIFAR Inclusive AI Scholarship for the CCIFAR 2023 Deep Learning + Reinforcement Learning Summer School
  • 2023 36th Neural Information Processing Systems Annual Conference Travel Grant
  • 2023 18th Women in Machine Learning (WiML) Workshop Travel Grant
  • 2023 Postdoctoral Fellowship, University of Pretoria, South Africa
  • 2022 6th Black in AI Workshop Travel Grant
  • 2022 17th Women in Machine Learning (WiML) Workshop Travel Grant
  • 2022 36th Neural Information Processing Systems Annual Conference Travel Grant
  • 2022 2022 Vice-Chancellor Letter of Commendation for Outstanding Research
  • 2022 Postdoctoral Fellowship, Cape Peninsula University of Technology, South Africa
  • 2021 Deep Learning and Reinforcement Summer School Travel Grant
  • 2021 Oxford Machine Learning (oXML21) 2021 Summer School
  • 2021 22. Best Student Award in PhD Computer Science in the 2020/2021 Graduating Set, Covenant University
  • 2020 15th Women in Machine Learning Award
  • 2020 14th ACM Conference on Recommender System – RecSys 2020 Waiver of Registration fees
  • 2020 ACM SIGIR/KDD 2020 Travel Grant
  • 2020 PyCon 2020 Travel Grant
  • 2019 3rd Black in AI Workshop Travel Grant
  • 2019 Deep Learning Reinforcement Learning Summer School (DLRLSS 2019) Travel Grant
  • 2019 14th Women in Machine Learning Travel Grant
  • 2019 Gene Golub SIAM Summer School Travel Grant
  • 2019 PyCon 2019 Travel Grant
  • 2019 Special Recognition Award from Chapel of Grace, Federal University Lokoja for Long-Term Contribution to Building Project.
  • 2018 2018 Award of The World Academy of Sciences (TWAS) Fellowship for Research and Advanced Training (FR number: 3240301383)
  • 2018 13th Women in Machine Learning (WiML) Workshop Travel Grant
  • 2018 Machine Learning for Health (ML4H) Travel Award
  • 2018 2nd Black in AI Workshop Travel Grant

SN TITLE YEAR TYPE
1 Development of an improved weather forecasting model based on optimized fuzzy logic (M.Sc.) 2023 Completed
2 Data analytics framework for diagnosis of prevalent illness among university students (M.Sc.) 2023 Completed
3 Development of students’ career path recommender system using machine learning techniques (M.Sc.) 2023 Completed
4 Book recommender model for university library management (B.Sc.) 2023 Completed
5 Design and implementation of an e-counseling platform for students (B.Sc.) 2023 Completed
6 Sentimental analysis of the 2023 Nigerian presidential elections (B.Sc.) 2023 Completed
7 Developing a text summarization model using machine learning (B.Sc.) 2023 Completed
8 Developing an assistive model for the deaf and dumb using computer vision (B.Sc.) 2023 Completed
9 Cryptocurrency exchange market predictions using machine learning (B.Sc.) 2023 Completed
10 Automation of a university timetabling system (B.Sc.) 2023 Completed
11 Predicting university students’ graduating class of degree using machine learning (B.Sc.) 2023 Completed
12 Sentiment analysis of security level of social media platforms (B.Sc.) 2023 Completed
13 Automatic Number Plate Recognition System (B.Sc.) 2022 Completed
14 Food Recipe Generation with Machine Learning (B.Sc.) 2022 Completed
15 Sentiment Analysis for Detecting Depression (B.Sc.) 2022 Completed
16 Crop Yield Recommendation System using Machine Learning (B.Sc.) 2022 Completed
17 Accent Classification of Ethnically Diverse Nigerian English Speakers (B.Sc.) 2022 Completed
18 An Optical Character Recognition System for Ebira Handwritten Texts (B.Sc.) 2022 Completed
19 Fake News Propagators Detection Using Social Media Feeds (B.Sc.) 2022 Completed
20 Speech Emotion Recognition (B.Sc.) 2022 Completed
21 Predicting Students’ Performance in West African Senior Secondary School (B.Sc.) 2022 Completed
22 Development of fire sensing and extinguishing robot (B.Sc.) 2022 Completed
23 Diabetes detection using entities embeddings (B.Sc.) 2022 Completed
24 Automated Text-To-Speech Model with Igbo Language (B.Sc.) 2021 Completed
25 Leukemia Prediction System using Deep Learning (B.Sc.) 2021 Completed
26 Spelling Correction and Part of Speech Tagging Model for Learner English (B.Sc.) 2021 Completed
27 Speech Recognition Model in Yoruba Language. B.Sc. 2021 Completed
28 Shilling Attack Detection in Collaborative Recommender System (B.Sc.) 2021 Completed
29 Design and Implementation of Expert System in Diagnosis of Malaria and Typhoid (B.Sc.) 2019 Completed
30 Segmentation of Retinal Blood Vessels using Convolutional Neural Network (B.Sc.) 2019 Completed
31 Highway Accident Prone Location Detection using Data Mining (B.Sc.) 2019 Completed
32 Hypertension Detection using Decision Tree (B.Sc.) 2019 Completed
33 Literary Book Recommender System (B.Sc.) 2019 Completed
34 Arrhythmia Classification for Heart Attack Prediction (B.Sc.) 2019 Completed
35 Application of Data Mining in the Prediction of Climate Effect on Rice Yield (B.Sc.) 2019 Completed


  1. arXiv (Cornell University):http://arxiv.org/a/kolajo_t_1
  2. GitHub:https://github.com/TaiwoK
  3. Google Scholar:https://scholar.google.co.in/citations?view_op=list_works&hl=en&user=xO1ZmysAAAAJ
  4. ORCID iD:https://orcid.org/0000-0001-6780-2495
  5. ResearchGate:https://www.researchgate.net/profile/Taiwo_Kolajo
  6. Scopus:https://www.scopus.com/results/authorNamesList.uri?sort=count-f&src=al&sid=f9522185754acd146cadce6f012ca1d7&sot=al&sdt=al&sl=41&s=AUTHLASTNAME%28kolajo%29+AND+AUTHFIRST%28Taiwo%29&st1=kolajo&st2=Taiwo&orcidId=&selectionPageSearch=anl&reselectAuthor=false&activeFlag=true&showDocument=false&resultsPerPage=20&offset=1&jtp=false¤tPage=1&previousSelectionCount=0&tooManySelections=false&previousResultCount=0&authSubject=LFSC&authSubject=HLSC&authSubject=PHSC&authSubject=SOSC&exactAuthorSearch=fa
  7. Semantic Scholar:https://www.semanticscholar.org/author/T.-Kolajo/10765024

Area 3 No 146 Zango-Daji Lokoja, Kogi State

Email: [email protected]

Call: +2348031805049