Dr. Arnold Adimabua Ojugo
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Dr. Arnold Adimabua Ojugo

Professor
Department of Computer Science, Federal University of Petroleum Resources Effurun, Nigeria

Highest Degree
Ph.D. in Computer Science from Ebonyi State University, Abakaliki, Nigeria

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Biography

Dr. Arnold Adimabua Ojugo is currently working as Senior Lecturer at Department of Mathematics/ Computer Science, Federal University of Petroleum Resources Effurun, Delta State, Nigeria. He has completed his Ph.D. in Computer Science from Ebonyi State University, Abakaliki, Nigeria. His main area of expertise includes Stochastic, Computational Intelligence, Genetic Algorithm, Cryptography, Decision Trees, GPU programming, Evolutionary, Constraint Satisfaction Problems, Neural Networks, Forensics, Machine Learning, UAVs, Heuristics, Hard NP tasks, Cloud Computing, Biometrics, Dynamic Systems, Simultaneous Localization and Mapping (SLAM), Soft Computing, Traveling Salesman, Data security, Time Varying networks, Bayesian Algorithm and Model, and Affective robotics. He is also serving as Associate Editor for Physical Science Research International Net Journals Series Publication, and editor for Progress in Intelligent Computing and Application (PICA) Human and Science Publications, and Advancement in Scientific and Engineering Research (ASER) Science Web Publishing. He has published 17 research articles in journals as well as 4 text book contributed as author/ co-author.

Area of Interest:

Computer Sciences
100%
Soft Computing
62%
Computational Intelligence
90%
Computer Network
75%
Genetic Algorithm
55%

Research Publications in Numbers

Books
0
Chapters
1
Articles
91
Abstracts
13

Selected Publications

  1. Yoro, R.E. and A.A. Ojugo, 2019. An intelligent model to predict the relationship of weather conditions for fish farming production yield in Nigeria. Am. J. Model. Optimiz., 4: 79-90.
  2. Ojugo, A.A. and A.O. Eboka, 2019. Inventory prediction and management in Nigeria using market basket analysis associative rule mining: Memetic algorithm based approach. Int. J. Inform. Commun. Technol., 8: 128-138.
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  3. Ojugo, A. and A.O. Eboka, 2019. Signature-based malware detection using approximate boyer moore string matching algorithm. Int. J. Math. Sci. Comput., 5: 49-62.
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  4. Okobah, I.P. and A.A. Ojugo, 2018. Evolutionary memetic models for malware intrusion detection: A comparative quest for computational solution and convergence. Int. J. Comput. Applic., 179: 34-43.
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  5. Ojugo, A.A. and O.D. Otakore, 2018. Seeking intelligent convergence for asymptotic stability feats of prey predator retarded equation using supervised model. Comput. Inform. Syst. Dev. Infor. Allied Res. J., 91: 93-102.
  6. Ojugo, A.A. and O. Otakore, 2018. Mitigating social engineering menace in Nigerian universities. J. Comput. Sci. Applic., 6: 64-68.
  7. Ojugo, A.A. and I.P. Okobah, 2018. Prevalence rate of hepatitis-B virus infection in the Niger Delta region of Nigeria using a graph-diffusion heuristic model. Int. J. Comput. Applic., 179: 27-33.
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  8. Ojugo, A.A. and I. Okobah, 2018. Quest for an intelligent convergence solution for the well-known David, Fletcher and Powell quadratic function using supervised models. Open Access J. Sci., 2: 53-59.
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  9. Ojugo, A.A. and D.O. Otakore, 2018. Redesigning academic website for better visibility and footprint: A case of the federal university of petroleum resources Effurun website. Netw. Communic. Technol., 3: 33-44.
  10. Ojugo, A.A. and D. Otakore, 2018. Improved early detection of gestational diabetes via intelligent classification models: A case of the Niger Delta region in Nigeria. J. Comput. Sci. Applic., 6: 82-90.
    CrossRef  |  Direct Link  |  
  11. Ojugo, A.A. and D. Allenotor, 2018. Text mining identification and detection using the exact string matching algorithm: A comparative analysis. Digital Innov. Contemp. Res. Sci. Eng. Technol., 6: 169-180.
  12. Ojugo, A.A. and D. Allenotor, 2018. Modeling university examination schedule: A comparative study. Digital Innov. Contemp. Res. Sci. Engr. Technol.,. 62: 193-210.
  13. Ojugo, A.A. and A.O. Eboka, 2018. Modeling the computational solution of market basket associative rule mining approaches using deep neural network. Digital Technol., 3: 1-8.
  14. Ojugo, A.A. and A.O. Eboka, 2018. Assessing users satisfaction and experience on academic websites: A case of selected Nigerian universities websites. Int. J. Tech. Comput. Sci., 10: 53-61.
    Direct Link  |  
  15. Okonji, E.A. and Y.O. Mary, 2017. Forecasting price direction, hedging and spread options in oil volatility. J. Econ. Behav. Organ., 5: 114-123.
  16. Ojugo, A.A. and I.P. Okobah, 2017. Hybrid fuzzy-genetic algorithm trained neural network model for diabetes diagnosis. Digital Innov. Contemp. Res. Sci. Eng. Technol., 5: 69-90.
  17. Ojugo, A.A. and I.P. Okobah, 2017. Computational solution for modeling rainfall runoff using intelligent stochastic model: A case of Warri in Delta State Nigeria. Digital Innov. Contemporary Res. Sci., Engr. Tech., 5: 45-58.
  18. Allenotor, D. and A.A. Ojugo, 2017. A financial option based price and risk management model for pricing electrical energy in Nigeria. Adv. Multidiscipl. Sci. Res. J., 3: 79-90.
  19. Oyemade, D.A., J. Akpojaro, A.A. Ojugo, R. Ureigho, F. Imouokhome and E. Omoregbee, 2016. A three tier learning model for universities in Nigeria. J. Technol. Soc., 12: 9-20.
  20. Ojugo, A.A., D.A. Oyemade and D. Allenotor, 2016. Solving for computational intelligence the timetable problem. Adv. Multidiscip. Scient. Res. J., 2: 67-84.
  21. Ojugo, A.A., D. Allenotor and D.A. Oyemade, 2016. A stochastic model face detection. Adv. Multidiscip. Scient. Res. J., 2: 101-114.
  22. Ojugo, A.A., F.O. Aghware, R.E. Yoro, M.O. Yerokun, A.O. Eboka, C.N. Anujeonye and F.N. Efozia, 2015. Evolutionary model for virus propagation on networks. Autom. Control Intelli. Syst., 3: 56-62.
  23. Ojugo, A.A., F. Aghware, R.E. Yoro, M.O. Yerokun, A. Eboka, C. Anujeonye and F. Efozia, 2015. Predicting behavioral evolution on a graph-based model. Adv. Networks, 3: 8-21.
  24. Ojugo, A.A., F. Aghware, R. Yoro, M. Yerokun, A. Eboka, C. Anujeonye and F. Efozia, 2015. Dependable community-cloud framework for smartphones. Am. J. Networks Commun., 4: 95-103.
  25. Ojugo, A.A., D.A. Oyemade, D. Allenotor, O.B. Longe and C.N. Anujeonye, 2015. Comparative stochastic study for credit-card fraud detection models. African J. Comput. ICTs, 8: 15-24.
  26. Ojugo, A.A., D. Oyemade, D. Allenotor, R.E. Yoro and C.N. Anujeonye, 2015. Immunization problem for Ebola virus in rural Sierra-Leone. Afr. J. Comput. ICT., 8: 1-10.
  27. Ojugo, A.A., A. Eboka, R. Yoro, M. Yerokun and F.N. Efozia, 2015. Hybrid model for early diabetes diagnosis. Math. Comput. Sci. Indust., 50: 207-217.
  28. Ojugo, A.A., A. Eboka, R. Yoro, M. Yerokun and F. Efozia, 2015. Framework design for statistical fraud detection. Math. Comput. Sci. Indust., 50: 176-182.
  29. Ojugo, A.A. and A. Eboka, 2015. An intelligent hunting profile for evolvable metamorphic malware. Afr. J. Comput. ICT., 8: 181-190.
  30. Allenotor, D., D. Oyemade and A. Ojugo, 2015. A financial option model for pricing cloud compute resources based on cloud trace characterization. African J. Comput. ICTs, 8: 83-92.
  31. Allenotor, D., A.A. Ojugo and D.A. Oyemade, 2015. An object selection model for a gaming environment. Afr. J. Comput. ICT., 8: 133-140.
  32. Wemembu, U.R., E. Okonta, A.A. Ojugo and L. Imah, 2014. A framework for effective software monitoring in project management. W. Afr. J. Indust. Acad. Res., 10: 100-112.
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  33. Okonta, O.E., U.R. Wemembu, A.A. Ojugo and D. Ajani, 2014. Deploying Java platform to design a framework of protective shield for anti-reversing engineering. W. Afr. J. Indust. Acad. Res., 10: 52-67.
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  34. Ojugo, A.A., E. Ben-Iwhiwhu, O. Kekeje, M. Yerokun and I. Iyawah, 2014. Malware propagation on social time varying networks: A comparative study of machine learning frameworks. Int. J. Modern Edu. Comput. Sci., 6: 25-33.
  35. Ojugo, A.A. and A.O. Eboka, 2014. A social engineering detection model for the mobile smartphone clients. Afr. J. Comput. ICT., 7: 91-100.
  36. Emudianughe, J., G.I. Alaminiokuma and A.A. Ojugo, 2014. Computer simulated delta (δ) for Vertical Transversely Isotropic (VTI) media in two depobelts of the Niger Delta. Int. J. Eng. Sci., 3: 43-48.
  37. Okonta, O.E., A.A. Ojugo, W.U. Raphael and A. Dele, 2013. Embedding quality function deployment in software development: a novel approach. West Afr. J. Ind. Acad. Res., 6: 50-64.
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  38. Ojugo, A.A., R.E. Yoro, D. Oyemade, M.O. Yerokun and A.O. Eboka et al., 2013. Robust cellular network for rural telephony in southern Nigeria. Am. J. Networks Commun., 2: 125-132.
    CrossRef  |  Direct Link  |  
  39. Ojugo, A.A., R.E. Yoro, A.O. Eboka, M.O. Yerokun and I.J.B. Iyawah, 2013. Implementation issues of VoIP to enhance rural telephony in Nigeria. J. Emerging Trends Comput. Inf. Sci., 4: 172-179.
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  40. Ojugo, A.A., R. Abere, B.C. Orhionkpaiyo, E.R. Yoro and A.O. Eboka, 2013. Technical issues for IP-based telephony in Nigeria. Int. J. Wireless Commun. Mobile Comput., 1: 58-67.
    CrossRef  |  Direct Link  |  
  41. Ojugo, A.A., R. Abere, A.O. Eboka, M.O. Yerokun and R.E. Yoro et al., 2013. Hybrid neural network models for rainfall runoffs: comparative study. Adv. Sci. Eng. Res., 1: 22-34.
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  42. Ojugo, A.A., P.O.M. Ojugo, B.C. Orhionkpaiyo, A.O. Eboka and R. Yoro, 2013. A framework design for clinical diagnosis: the expert system perspective. J. Emerging Trends Comput. Inf. Sci., 4: 470-476.
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  43. Ojugo, A.A., M.O. Yerokun, E. Ugboh, A.O. Eboka and C.C. Onochie et al., 2013. Solving for computational intelligence: comparative study of N-queen. Res. J. Eng. Appl. Sci., 2: 351-358.
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  44. Ojugo, A.A., J. Emudianughe, R.E. Yoro, E.O. Okonta and A.O. Eboka, 2013. A hybrid artificial neural network gravitational search algorithm for rainfall runoffs modeling and simulation in hydrology. Prog. Intell. Comput. Appl., 2: 22-33.
    CrossRef  |  Direct Link  |  
  45. Ojugo, A.A., E. Ugboh, C.C. Onochie, A.O. Eboka and M.O. Yerokun et al., 2013. Effects of formative test and attitudinal types on students' achievement in mathematics in Nigeria. Afr. Educ. Res. J., 1: 113-117.
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  46. Ojugo, A.A., D.K. Igobi and R.E. Yoro, 2013. A comparative computational analysis of well-bore temperature changes with depth in the Niger delta region of Nigeria. Eur. J. Acad. Res., 1: 118-132.
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  47. Ojugo, A.A., D. Oyemade, R.E. Yoro, A.O. Eboka and M.O. Yerokun et al., 2013. A comparative evolutionary models for solving sudoku. Autom. Control Intell. Syst., 1: 113-120.
    CrossRef  |  Direct Link  |  
  48. Ojugo, A.A., A.O. Eboka, M.O. Yerokun, I.J.B. Iyawa and R.E. Yoro, 2013. Cryptography: salvaging exploitations against data integrity. Am. J. Networks Commun., 2: 47-55.
    CrossRef  |  Direct Link  |  
  49. Ojugo, A.A. and R.E. Yoro, 2013. Computational intelligence in stochastic solution for toroidal N-queen. Prog. Intell. Comput. Appl., 2: 46-56.
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  50. Ojugo, A.A., A.O. Eboka, O.E. Okonta, R.E. Yoro and F.O. Aghware, 2012. Genetic algorithm rule-based intrusion detection system (GAIDS). J. Emerging Trends Comput. Inf. Sci., 3: 1182-1194.
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  51. Ojugo, A.A., 2006. Logical Computer Architecture. His Bride Publishers, Asaba.

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