Picture of IGIRI, Chinwe Peace

IGIRI, Chinwe Peace Dr., Department of Computer Science

Area(s) of Specialization/Research Interests

Software engineering, AI, Blockchain Technology, IoT

Profile

Dr Chinwe Peace Igiri is a lecturer in the Computer Science and Mathematics department of the Mountain Top University. She is also the Deputy Director of Open Distance Learning of the same university. She earned a PhD in Software Engineering from Amity University Rajasthan, India. She was engaged as a visiting lecturer with the University during her three-year PhD program. Before Dr Chinwe left Nigeria for India for her research, she was a lecturer in the Computer Engineering Department of Port Harcourt Polytechnic, Rivers State, Nigeria. Her research interest is in emerging technologies such as soft software engineering, Artificial Intelligence, bio-inspired computation, blockchain technology, Data Science, Internet of Things (IoT), among others. She has obtained some professional training and certification including a six-month professional training certification on blockchain technology jointly organized by National Program on Technology Enhanced Learning (NPTEL) India and IBM. She has published over 14 scholarly peer-reviewed journals as well as conference presentation and proceedings. She holds B.Eng. in computer science and engineering from Enugu State University of Science and Technology and Masters of Science in Computer Science from the University of Port Harcourt Nigeria. She is a registered engineer with COREEN, as well as a member of NSE, IEEE and ACM.

Academic Credentials

Ph.D. in Software Engineering 2020 M. Sc (Computer Science) 2015 B. Eng. (Computer Science & Engineering) 2001 Senior School Certificate (SSCE) 1995 Primary School Leaving Certificate 1989

Professional Association

COREEN, NSE, IEEE and ACM.

Publications

1 Igiri, C. P, Bhargava D., Udanor, C., & Sowah A. R. (2022). Blockchain vs IOTA tangle for internet of things: the best architecture. In S. Vyas, V. K. Shukla, S. Gupta, A. Prasad (Eds.), Blockchain technology: exploring opportunities, challenges and applications. Taylor & Francis. ISBN 9780367685584
2 Igiri, C.P., Yudhveer, S., & Bhargava, D. Improved African Buffalo Optimization Algorithm for Petroleum Product
3 Kumar B. S., Bharghava D., Kar A.K., Igiri C.P., (2020). Introducing the Rock Hyrax Intelligent Optimization Algorithm: An Exploration for Web 3.0 Domain Selection. IJAIP_195663 Inderscience (Scopus)
4 Igiri, C.P., Yudhveer, S., & Poonia, R. C., (2020). A Review Study of Modified Swarm Intelligence: Particle Swarm Optimization, Firefly, Bat and Gray Wolf Optimizer Algorithms. Recent Patents on Computer Science CSENG- Bentham Science (Scopus)
5 Kumar B. S., Bharghava D., Kar A.K., Igiri C.P., (2018). Identification of Suitable Websites for Digital Marketing – an Approach using Bio-inspired Computing. International Journal of Engineering & Technology, 7 (1.2) 239-245 (Scopus)
6 Igiri, C.P., Bhargava, D., & Yudhveer, S., (2019). A Penalty Method Based-Spring Design optimization Using Bio-inspired Computation Approach. In 2019 Amity International Conference on Artificial Intelligence (AICAI) 2019 Feb 4-6 (pp. 182-187). IEEE (Scopus)
7 Igiri, C.P., Yudhveer, S., & Poonia, R. C. (2019). An improved chaotic-based African buffalo optimization algorithm. International Journal of Innovative Computing and Applications, 10(3-4), doi.org/10.1504/IJICA.2019.103375 (Scopus)
8 Igiri, C.P., Yudhveer, S., & Bhargava, D. (2018). An improved African buffalo optimization algorithm using chaotic map and chaotic-levy flight. International Journal of Engineering & Technology (IJET), 7(4), 4570-4576 (Scopus)
9 Igiri, C.P., & Nwachukwu, E.O. (2014). An Improved Prediction System for Football: A Match Result. IOSR Journal of Engineering, 4(12), 12-20
10 Anyama, O.U., & Igiri, C.P. (2015). An Application of Linear Regression & Artificial Neural Network Model in the NFL Result Prediction. International Journal of Engineering Research & Technology, 4(1), 457-461
11 Igiri, C.P., Anyama, O.U., & Silas A.I. (2015). Effect of Learning Rate on Artificial Neural Network in Machine Learning. International Journal of Engineering Research & Technology, 4(2), 359-363
12 Igiri, C.P., Anyama, O.U., Silas A.I., & Sam I. (2015). A Comparative Analysis of K-NN and ANN Techniques in Machine Learning. International Journal of Engineering Research & Technology, 4(3), 420-42
13 Igiri, C.P. (2015). Support Vector Machine-based Prediction System for a Football Match Result. IOSR Journal of Computer Engineering, 17(3), 21-26
14 Silas A. I., Asagba P. O., & Igiri C. P. (2014). Steps to System Reconfiguration in a Distributed Database System: A Fault-tolerant Approach, IOSR Journal of Computer Engineering (IOSR-JCE), 16(6), 32-38
15 Igiri, C. P., Asagba, P. O., & Olowookere, T. A. (2014). A Comparative Study of Two Microprocessor Based Distributed Systems: Intel Xeon and AMD Opteron, IOSR Journal of Computer Engineering (IOSR-JCE), 16(5), 44-48