Baze University

CHOLLETTE CHIAZOR OLISAH


Lecturer Photo
  • Qualifications: B.Sc (Computer Science, 2006); M.Sc. (Computer Science, 2011); Ph.D. (Computer Science, 2015)
  • Role Title: Senior Lecturer
  • Telephone: +234813118487
  • Email: Chollette.olisah@bazeuniversity.edu.ng
  • Department: Computing/it
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Chollette C. Olisah the B.Sc. degree in Computer Science from Anambra State University, Uli. She received the M.Sc. and PhD degrees in Computer Science from the Universiti Teknologi Malaysia, Johor Bahru Malaysia in 2011 and 2015, respectively. She is a fellow of the Massachusetts Institute of Technology Empowering the Teachers (MIT-ETT) fellowship program and lectures in the Department of Computer Science, Baze University, Abuja. She currently is an Africa Partner and recipient of the UK-Africa GCRF Agri-tech Catalyst Seeding Award. Her research interests are in machine learning (particularly, neural networks and deep learning), image processing, face recognition, image understanding and analysis and data science. Dr. Chollette has authored and coauthored over 20 peer-reviewed scholarly, conference and journal, articles. She is an active member of the Institute of Electrical and Electronics Engineers (IEEE) and serves as reviewer for reputable journals such as International Journal Institution of Engineering and Technology (IET), Information and Communication Technology Applications, Journal of Machine Learning and Cybernetics (JMLC), IEEE Access, IEEE Transactions on Information Forensics & Security. 

Title Name Year Acquired
Bachelor'sBachelor's2006
N/AN/A2006
N/AN/A2011
PhDDOCTOR OF PHILOSOPHY IN COMPUTER SCIENCE2015
N/AN/A2015
Module Code Module Description Credit Unit
COM112 Introduction to Computer Science 3
COM301 Further Algorithms 3
COM315 Basic Programming 3
COM335 Introduction to Computer Graphics 3
COM339 Introduction to Data Analytics with Power Business Intelligence 3
COM399 Introduction to Artificial Intelligence 3
GEC202 Computer Programming 2 3
ZOO802 Bioinformatics 3

-Machine learning (particularly, neural networks and deep learning)

-Image processing

-Face recognition

-Image understanding and analysis

-Data science.