Profile of Dr. Chikodili H. Ugwuishiwu (Ph.D)

Chikodili H. Ugwuishiwu is a lecturer in the Department of Computer Science, University  of Nigeria, Nsukka since 2007 and currently an Associate Professor. She holds BSc. (2004 – Software Engineering), MSc. (2009 – Data Structure) and Ph.D (2018 – Information System)  degrees in Computer Science, University of Nigeria, Nsukka. She has published many articles  in reputable journals and conferences. She has also attended many local and international  workshops. She has won a project grant from Tertiary Education Trust Fund (TETFund IBR  (2023). She has held several positions at the University of Nigeria, Nsukka including Exam  

Officer (2009-2013), Faculty of Physical Sciences Welfare Committee Chairman (2014 – 2016, 2020-date), and Faculty  of Physical Sciences Representative in the University of Nigeria Senate (2023-Date). She has rendered services to some  public bodies including, Enugu State Technical Advisor, Unified Tertiary Matriculation Examination (UTME) formerly  JAMB in Nigeria (2019- Date), Executive Secretary, Christ Church Women Association (CCWA), University of Nigeria,  Nsukka (2018/2019, 2024-date). Executive Secretary, Organization for Women in Science for the Developing  World (OWSD), South East Zone, Nigeria Chapter (2021 – Date). She is a member of professional bodies including  Computer Professionals Registration Council of Nigeria (CPN), Nigeria Computer Society (NCS), Nigeria Women in  Information Technology (NIWIIT), Organization for Women in Science for the developing world (OWSD) and  Association of Information System (AIS).  

Research Interest 

Artificial Intelligence, Information System (IS) and Computer modeling and Simulation. 

Selected Journal Publication  

  1. D. O. Obe, C. T. Obe, C. H. Ugwuishiwu, P. I. Obe, A. H. Eneh, C. I. Odeh, E. S. Obe  

(2024). A single‑phase, nine‑level switched‑capacitor‑based inverter. Journal of Power Electronics. https://doi.org/10.1007/s43236- 023-00758-1 1.4 – TR https://link.springer.com/journal/43236. 

  1. A. H. Eneh, C. N. Udanor, N. I. Ossai, S. O. Aneke, P. O. Ugwoke, A. A. Obayi, 
  2. H. Ugwuishiwu, G. E. Okereke (2023). Towards an Improved Internet of Things Sensors Data Quality for a Smart Aquaponics  System Yield Prediction. MethodsX, 11 (2023) 102436, https://www.sciencedirect.com/science/article/pii/S2215016123004326,  1.9- TR https://www.sciencedirect.com/journal/methodsx.  
  3. E. Ugwuagbo, A. Balogun, B. Ray, A. Anwar, C. Ugwuishiwu (2023).Total Harmonics  

Distortion Prediction at the Point of Common Coupling of industrial load with the grid using Artificial Neural Network. Energy and  AI, 14 (2023) 100281 

https://www.sciencedirect.com/science/article/pii/S2666546823000538, SJR- 2.16 

  1. O. E. Oguike, C. H. Ugwuishiwu, C. N. Asogwa, C. O. Nnadi, W. O. Obonga, A. A.  

Attama (2022). Systematic review on the application of machine learning to quantitative structure–activity relationship modeling  against Plasmodium falciparum. Molecular Diversity, https://doi.org/10.1007/s11030-022-10380-1 https://www.springer.com/journal/11030. https://research.com/journal/molecular-diversity. 

Impact factor (ISI-JCR)- 3.364 – TR, 

  1. C. Ikerionwu, C. Ugwuishiwu, I. Okpala, I. James, M. Okoronkwo, C. Nnadi, U. Orji, D. Ebem, A. Ike (2022): Application of  machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future.  Photodiagnosis and Photodynamic Therapy. 40, 103198. https://doi.org/10.1016/j.pdpdt.2022.103198.  https://www.sciencedirect.com/journal/photodiagnosis-and-photodynamic-therapy,  

https://www.bioxbio.com/journal/PHOTODIAGN-PHOTODYN. Impact factor (ISI-JCR), 3.577- TR. 6. C. N. Udanor, N. I. Ossai, E. O. Nweke, B. O. Ogbuokiri, A. H. Eneh, C. H. Ugwuishiwu, S. O. Aneke, A. O. Ezuwgu, P. O.  Ugwoke, C. Arua (2022). An internet of things labelled dataset for aquaponics fish pond water quality monitoring system. Data in  Brief, ISSN 2352-3409, https://www.sciencedirect.com/journal/data-in-brief/about/about-data-in-brief. Impact factor (ISI-JCR), 1.2 – TR.  

  1. C. I. Ugwu, U. K. Ome, M. E. Ezema, C. H. Ugwuishiwu, C. C. Olebera, A. O. Ezugwu, C.N. Asogwa, U.E. Orji (2022): Smart  Irrigation for Yellow Pepper Production using GPS and GSM Technologies. Indian Journal of Agricultural Research. DOI:  10.18805/IJARe.AF-741, https://www.scimagojr.com/journalsearch.php?q=75138&tip=sid. SJR – 0.258 8. C. H. Ugwuishiwu, U. E. Orji, O. Ukwueze , P. O. Ogbobe (2022). A Review on the Fundamental Concepts of Quantum  Elements, Efficient Quantum Algorithms and Quantum Error Correcting Codes. International Journal of Scientific & Technology  Research 11(1), ISSN 2277-8616 1 IJSTR©2022 www.ijstr.org.  https://www.scimagojr.com/journalsearch.php?q=21100894501&tip=sid&clean=0, SJR (2019) – 0.123, SNIP (2021) – 0.421,  https://www.scopus.com/sourceid/21100894501 
  2. C. H. Ugwuishiwu, P. O. Ogbobe, M. C. Okoronkwo (2021), Analysis of Crime Pattern using Data Mining Techniques. International Journal of Advanced Computer Science and Applications (IJACSA), 12(12), www.ijacsa.thesai.org.  https://thesai.org/Publications/ViewIssue?volume=11&issue=6&code=IJACSA 

Email: Chikodili.ugwuishiwu@unn.edu.ng 

LinkedIn: https://www.linkedin.com/in/chikodili-ugwuishiwu-7186aa122?originalSubdomain=ng Google Scholar: https://scholar.google.com/citations?user=K0rxuv0AAAAJ&hl=en&oi=ao 

Research Gate: https://www.researchgate.net/profile/Chikodili-Ugwuishiwu