Profile of Collins N. Udanor (Ph.D)

Collins Udanor is an Associate Professor of Computer Science (Artificial Intelligence). He  teaches in the Department of Computer Science, University of Nigeria Nsukka. He holds a  Bachelor’s Degree in Computer Science & Engineering, a Masters Degree in Computer Science  (Data Communications Specialist), and a Ph.D. in Electronic Engineering (Intelligent Agent  Systems Specialist). He has advanced trainings and certifications in Cloud Computing & Network  Virtualization, Internet of Things (IoT), Data Science, Grant Writing and Online Lecture Delivery,  etc. He has skills in Data analytics, and multi-agent learning systems pedagogy. Collins Udanor  leads a University research group, the High-Performance and Intelligence Computing group  

(HiPIC, hipiclab.org), a cross-disciplinary research group based in the Department of Computer Science. He has won  several project grants funded by the Lacuna Fund (2020), Nvidia Developer Program 2022, UNESCO-HP (2009-2013),  Google (2011), Nigeria’s Tertiary Education Trust Fund (TETFund,IBR 2016, NRF 2020), etc. He is also an Oracle  Academy Faculty Prize winner in Artificial Intelligence, 2019. His project experiences include Network Virtualization,  Cloud, Grid, and Edge Computing, etc. Prof. Collins Udanor led the Labour and Employment cluster of the Volunteer  Expert Group (VEG) on the formulation of Artificial Intelligence Policy for Nigeria. He has also been involved in several  international project collaborations across Europe and Africa, some of which include; the HP-UNESCO Brain Gain  Initiative (BGI), the eI4Africa project, EU Horizon 2020 projects, WACREN, Sci-GaAI, EU Grid Forum, ITU Study Group  13, etc. In 2011 he led the team that developed the Pidgin Search Engine for Google. Dr. Collins Udanor has more than  40 peer-reviewed publications in international journals and conference proceedings indexed and ranked by Clarivate  Analytics, Springer, Scopus, etc. Some of the selected publications are listed below. 

Research Interests

High-Performance Computing – (Artificial Intelligence, Machine Learning, Internet of Things, Cloud  Computing) 

Selected Publications:

  1. Collins N. Udanor, and Chinatu Anyanwu (2019). Combating the challenges of Social Media Hate Speech in a Polarized Society: A  Twitter Ego Lexalytics Approach (Emerald Data Technologies and Applications Vol. 53, No. 4, pp. 501-527
  2. 2. Udanor C.N, Aneke S.O and Ogbuokiri B.O. (2016). Determining Social Media Influences on the Politics of Developing Countries  using Social Network Analytics. EmeraldInsight Program: electronic library and information systems, Volume 50 (4): pp. 481 – 507.
  3. 3. Udanor, C. N., Eneh, A. H., & Orim, S. M. I. (2020, July). An Evaluation of the Frameworks for Predicting COVID-19 in Nigeria Using  Time Series Data Analytics Model. InThe International Conference on Emerging Applications and Technologies for Industry 4.0(pp.  109-123). Springer, Cham. 
  4. 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, Arua  Christiana (2022). An internet of things labelled dataset for aquaponics fish pond water quality monitoring system, Data in Brief,  Volume 43, 108400, ISSN 2352-3409,  https://doi.org/10.1016/j.dib.2022.108400.(https://www.sciencedirect.com/science/article/pii/S2352340922005972) 
  5. C.N. Udanor, A.H. Eneh, D. Goji (2023). A 1-Gram Sentiment Analysis Algorithm for Detecting Cyberbullying in Online Social, Int. J.  Advanced Networking and Applications Volume: 14 Issue: 06 (Pages: 5734 – 5733) 
  6. Ugwoke, P. O., Bakpo, F. S., Udanor, C. N., & Okoronkwo, M. C. (2022). A framework for monitoring movements of pandemic  disease patients based on GPS trajectory datasets. Wireless Networks, 28(1), 1-28. 
  7. Igiri, C. P., Bhargava, D., Udanor, C., & Sowah, A. R. (2022). Blockchain versus IOTA Tangle for Internet of Things: The Best Architecture. Blockchain Technology, 259-278. 
  8. A.H. Eneh, C.N. Udanor, N.I. Ossai, S.O. Aneke, P.O. Ugwoke, A.A. Obayi, C.H. Ugwuishiwu, G.E. Okereke (2023), Towards an  improved internet of things sensors data quality for a smart aquaponics system yield prediction, MethodsX, Volume 11, 2023,  102436, ISSN 2215-0161, https://doi.org/10.1016/j.mex.2023.102436 
  9. Uzoh B.C and Udanor C.N. (2021). Towards an Efficient Machine Learning Algorithm for Graduate Study Elective Course  Recommender System. The International Journal of Engineering and Science (IJES). Vol 10. Issue 6. Pages 12-20. 10. N. V. Ugwu., C. N. Udanor(2021), Achieving Effective Customer Relationship using Frequent Pattern-Growth Algorithm Association  Rule Learning Technique, Nigerian Journal of Technology. Vol. 40, No. 2, 2021, 2021, pp. 329–339. www.nijotech.com 

Website: https://hipiclab.org 

Email: collins.udanor@unn.edu.ng

Full list of publications at Google Scholar: https://scholar.google.com/citations?hl=en&user=qWYI4w8AAAAJ LinkedIn: https://www.linkedin.com/in/collinsudanor/ 

Twitter: @Cudanor