Machine Intelligence Research Labs (MIR Labs) - Global Network for Innovation and Research Excellence

Sunday Olusanya Olatunji, PhD

College of Computer Science & Information Technology, University of Dammam, Saudi Arabia, Dammam

Regular Member

Personal Web Site:

Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=994

Short Biography

Dr. Sunday Olusanya Olatunji is currently an Associate Professor in the College of Computer Science & IT, University of Dammam, Dammam, Saudi Arabia. He obtained his PhD in Computer Science from the Universiti Teknologi Malaysia (UTM) in 2012, bagging the best graduating Student Award Medal (PhD Computer Science). He received M.Sc. Degree in Computer Science, University of Ibadan, Nigeria in 2003. He obtained another M.Sc. Degree in Information and Computer Science, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia in 2008 under the prestigious special Research Assistantship scholarship of KFUPM. He received the B.Sc. (Hons) Degree in Computer Science, Ondo State University (Now University of Ado Ekiti), Nigeria in 1999. His work experience in both University Teaching and Research span over 20 years. He has participated in numerous research projects in KFUPM & UTM including those with Saudi ARAMCO oil and gas Company, making use of artificial intelligence based techniques in solving real industrial problems. He has authored well over 100 publications as journal articles, books, and peer reviewed conferences proceedings, with Journals articles mostly in peer reviewed highly rated impact reputable SCOPUS and ISI journals. He is a member of IEEE, ACM, SPE, and Machine Intelligence Research Labs (USA). His research interests include artificial/computational intelligence, soft-computing, machine learning, Data Science and Data Mining with applications to different germane areas like oil, gas and energy modeling and predictions, biomedical predictions , software engineering metrics prediction, forensic investigation modeling, etc.

Google Scholar link: https://scholar.google.com/citations?user=7zIGnIkAAAAJ&hl=en

ResearchGate link: https://www.researchgate.net/profile/Sunday_Olatunji/contributions

List of top 5 publications in the last 5 years

Muizz O. Sanni-Anibire, Rosli Mohamad Zin, Sunday Olusanya Olatunji; Machine learning model for delay risk assessment in tall building projects; International Journal of Construction Management, Vol. 0 Issue 0 Pg: 1 – 10, 2020.

View at publisher Scopus ranking:Q2 Impact Factor = 2.25

Sarah N. Alyami, Sunday O. Olatunji; Application of Support Vector Machine for Arabic Sentiment Classification Using Twitter-Based Dataset; Journal of Information & Knowledge Management, 4, 2020.

View at publisher Scopus ranking:Q3 Impact Factor = 0.39

Adeola A. Akinpelu, Md. Eaqub Ali, Taoreed O. Owolabi, Mohd R. Johan, R. Saidur, Sunday O. Olatunji & Zaira Chowdbury; A support vector regression model for the prediction of total polyaromatic hydrocarbons in soil: an artificial intelligent system for mapping environmental pollution, Neural Computing and Applications, Published 27 March 2020,

View at publisher Scopus ranking:Q2 Impact Factor = 4.664

Muizz O. Sanni-Anibire, Mohamad Rosli Zin, Sunday Olusanya Olatunji; Causes of Delay in the Global Construction Industry – A Meta Analytical Review; International Journal of Construction Management, pg. 1-13,2020

View at publisher Scopus ranking:Q2 Impact Factor = 2.25

Mariam Elhussein, Samiha Brahimi, Abdullah Alreedy, Mohammed Alqahtani, Sunday O. Olatunji; Google trends identifying seasons of religious gathering: applied to investigate the correlation between crowding and flu outbreak. Information Processing and Management, Volume 57, Issue 3, May 2020,

View at publisher Scopus ranking:Q2 Impact Factor =3.892

Morufu Olusola Ibitoye, Nur Azah Hamzaid, Ahmad Khairi AbdulWahab, Nazirah Hasnan, Sunday Olusanya Olatunji, Glen M. Davis; SVR modelling of mechanomyographic signals predicts neuromuscular stimulation-evoked knee torque in paralyzed quadriceps muscles undergoing knee extension exercise; 11 January 2020, 103614,

View at publisher Scopus ranking:Q2 (Impact Factor =2.286)

Abubakar, I.R. & Olatunji, S.O. , Computational intelligence-based model for diarrhea prediction using Demographic and Health Survey data; Soft Computing (2019). View at publisher Scopus ranking: Q2

Hayatullahi B. Adeyemo, Taoreed O. Owolabi, Muhammad A. Suleiman, Kabiru O. Akande, Jamal Alhiyafi, Sola Fayose, Sunday O. Olatunji, Hybrid chemometric approach for estimating the heat of detonation of aromatic energetic compounds, Heliyon, Volume 5, Issue 7, 2019, e02035, View at publisher Scopus ranking:Q1

Jamal Alhiyafi, Aisha Alfuraih, Mai Alismail, Rawan Aljabr, Reem Alabdulazeem, Woroud Aldossary, Sunday O. Olatunji; Machine Learning Techniques for Energy Efficiency Prediction: A Comparative Studies; Journal of Computational and Theoretical Nanoscience, April 2019. View at Publisher Scopus ranking:Q3

Muhammad A. Suleiman, Taoreed O. Owolabi, Hayatullahi Bolaji Adeyemo, Sunday Olusanya Olatunji; Modeling of autoignition temperature of organic energetic compounds using hybrid intelligent method, Process Safety and Environmental Protection, 120 (2018) 79 – 86, Impact Factor = 3.441, View at Publisher Scopus ranking:Q1

A. A. Adewunmi, S. Ismail, T. O. Owolabi, A. S. Sultan, and S. O. Olatunji; Hybrid intelligent modeling of the viscoelastic moduli of coal fly ash based polymer gel system for water shutoff treatment in oil and gas wells" Canadian Journal of Chemical Engineering –In Press July 2018. Impact Factor = 1.15, View at Publisher Scopus ranking:Q2.

Nahier Aldhafferi, T. O. Owolabi, K. O. Akande, S. O. Olatunji, and A. Alqahtani, “Support vector regression approach of modeling the superconducting transition temperature of borocarbide-based superconductors,” ARPN J. Eng. Appl. Sci., vol. 13, no. 5, 2018 View at Publisher Scopus rating: Q3

I. O. Alade, T. A. Oyehan, I. K. Popoola, S. O. Olatunji, A. Bagudu (2018), Estimating the Refractive Index of Oxygenated and Deoxygenated Hemoglobin using Genetic Algorithm-Support Vector Machine Approach, Computer Methods and Programs in Biomedicine, 163 (2018), pp 135 - 142.Impact Factor =2.674, View at Publisher Scopus ranking:Q1

I. O. Alade, T. A. Oyehan, I. K. Popoola, S. O. Olatunji, A. Bagudu (2018), Modeling thermal conductivity enhancement of metal and metallic oxide nanofluids using support vector regression , Advanced Powder Technology 29 (1), 157-167. Impact Factor =2.943, View at publisher Scopus ranking:Q1

Tajudeen A. Oyehan⁠, Ibrahim O. Alade⁠, Aliyu Bagudu⁠, Kazeem O. Sulaiman⁠, Sunday O. Olatunji⁠, Tawfik A. Saleh (2018), Prediction of the refractive index of hemoglobin using the Hybrid GA-SVM approach, Computers in Biology and Medicine, Comput Biol Med. 2018 Jul 1;98:85-92. doi: 10.1016/j.compbiomed.2018.04.024. Epub 2018 Apr 30.,Impact factor=1.836, View at Publisher Scopus ranking:Q2

Sunday Olusanya Olatunji, Ali Selamat and Abdul Azeez Abdul Raheem, “Improved Sensitivity Based Linear Learning Method for Permeability Prediction of Carbonate Reservoir Using Interval type-2 Fuzzy Logic System”, Applied Soft Computing,Volume 14, Part B, January 2014, pages 144-155, doi: http://dx.doi.org/10.1016/j.asoc.2013.02.018, (Impact Factor: 2.612)
Sunday OlusanyaOlatunji, Ali Selamat, Abdul Azeez Abdul Raheem, “A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modeling permeability prediction, Information Fussion,Vol. 16, March 2014, pages 29-45, (2014), http://dx.doi.org/10.1016/j.inffus.2012.06.001
Sunday OlusanyaOlatunji, Ali Selamat, Abdul Azeez Abdul Raheem, “Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems”, Elsevier journal of Expert Systems with Applications, 38 (2011) 10911-10922.doi:10.1016/j.eswa.2011.02.132
Sunday OlusanyaOlatunji, Ali Selamat, Abdul Azeez Abdul Raheem, SigeruOmatu, “Modeling the Correlations of Crude Oil Properties Based on Sensitivity Based Linear Learning Method”, Engineering Applications of Artificial Intelligence, Vol. 24 Issue 4, June 2011 p. 686–696
Sunday OlusanyaOlatunji, Ali Selamat, Abdul Azeez Abdul Raheem, “Modeling the Permeability of Carbonate Reservoir Using Type-2 Fuzzy logic Systems”, Elsevier journal of Computers in Industry, Special Issue on: Fuzziness in Industry & Applications, 2011. 62(2): p. 147-163.

List of top 5 academic activities during the last 5 years

Active research activity

· AI-enabled two-stage Predictive Solutions Platform for Curbing the Spread of COVID-19 (Machine Learning based Solution -i.e. Development of rapid point-of-care diagnostic tests to tackle COVID-19 pandemic)

· Smart Health Monitoring system: Remote Triaging as a Proactive Measure to Contain the Spread of COVID-19.-King Abdul Azeez Center for Science and Technology (KACST) funded project (Started June 2020)

· Computational Intelligence Based Predictive Model for Flu-Incidence in Eastern Province of Saudi Arabia: A Decision Table Model toward Improved Bio Surveillance

· Diabetic Retinopathy Prediction using Stacking and Logistic Model Tree

· Website Phishing Detection Using LMT and Hoeffding Tree with AdaBoost ensemble.

· Identification of cyber attackers (Cyber-attack attribution) using Machine Learning Techniques

· Electricity Monthly Electricity Demand forecasting in Saudi Arabia using AI Techniques

· Renewable energy modeling in Saudi Arabia using AI Techniques

· ML based real-time Controller for Enhanced Wind Energy Harvesting

· AI based real-time Solar panel controller for Enhanced Energy Capturing

· Preemptive diagnosis of chronic diseases: Case Studies on Saudi Arabia datasets

· Modeling traffic accident in Saudi Arabia Using Machine Learning

· Modeling and diagnosis of Parkinson diseases using Machine Learning techniques