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-Updated on: 25May22 | |
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| 2 | Igiri, C.P., Yudhveer, S., & Bhargava, D. Improved African Buffalo Optimization Algorithm for Petroleum Product-Updated on: 25May22 | |
| 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)-Updated on: 25May22 | |
| 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)-Updated on: 25May22 | |
| 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)-Updated on: 25May22 | |
| 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)-Updated on: 25May22 | |
| 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)-Updated on: 25May22 | |
| 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)-Updated on: 25May22 | |
| 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-Updated on: 25May22 | |
| 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-Updated on: 25May22 | |
| 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-Updated on: 25May22 | |
| 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-Updated on: 25May22 | |
| 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-Updated on: 25May22 | |
| 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-Updated on: 25May22 | |
| 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-Updated on: 25May22 |