Member Profile
Membership type: full
Prudence Kadebu
Country of origin: Zimbabwe Currently in: Zimbabwe, Harare General field of specialization: Computing and Information Technology-
Degrees
2014 Master Computing and Information Technology2006 Undergraduate Computing and Information Technology -
Current Research Activities
Computing and Information Technology
Software Security Requirements Extraction and Classification using Deep Learning
Publications resulting from Research:
‘Natural Language Processing and Deep Learning Towards Security Requirements Classification’, 3rd International Conference on Contemporary Computing and Informatics (IC3I), 2018
‘Security Requirements Extraction and Classification: A Survey’, 3rd International Conference on
Contemporary Computing and Informatics (IC3I), 2018
'Land availability alert system with Google Maps integration using GPS and GSM technologies: A case study for Chitungwiza Municipality, Zimbabwe', IEEE-NISS 2018
Secure Offloading of Elastic Applications in Mobile Cloud Computing, IEEE-EECCMC 2018
Promoting Collaborative Research Among State Universities in Zimbabwe Through Identity Federation and Researcher Information Management, UbuntuConnect 2017
Design and Implementation of an Intrusion Detection System using MLP-NN for MANET, IST-Africa, Namibia, IEEE 2017
Exploratory Test Oracle using Multi-Layer Perceptron Neural Network, Advances in Computing, Communications and Informatics (ICACCI), India, IEEE 2016
A technical evaluation of the performance of classical Artificial intelligence (AI) and methods based on Computational Intelligence (CI) i.e. Supervised Learning, Unsupervised Learning, Ensemble and Immune Algorithms in Intrusion Detection Systems, ISSN 2223-7062 Proceedings and Report of the 9th UbuntuNet Alliance Annual Conference, 2016 pp 181-188
Big Data: Security Engineering Framework, The 13th International Conference on Software Engineering Research and Practice, SERP’15, Las Vergas, Nevada, USA, July 2015
A Security Requirements Perspective Towards a Secured NoSQL Environment: International Journal of Modern Communication Technologies & Research, India 2014.
Database Management Systems: A NoSQL Analysis: International Journal of Advance Research and Innovation, India 2013
Current profession
Workshop and Conference Attended
2019 Harare Investment in Women and Girls in Science for Inclusive Green Growth-Panellist, Forum for African Women Educationalists Zimbabwe Chapter – FAWEZI2018 San Francisco, USA Machine Learning in 45minutes, Google Developer Group2018 University of Zimbabwe, Harare, Zimbabwe 17. Deep Learning Indaba-Panellist2018 Elephant Hills Resort and Conference Centre, Victoria Falls, Zimbabwe 16. Zimbabwe Infrastructure Investment & Development Conference 20182018 MTB, Msasa, Harare National Critical Skills Audit (NCSA) Workshop2018 Harare Minimum Body of Knowledge for Software Engineering workshopZCHPC, Harare 2017 Cloudera Hadoop Big Data Analytics Boot Camp2016 Harare HPC Training in Artificial intelligence and Machine Learning2013 DTU, India Certified Ethical Hacking Expert, TechDefence Pvt Ltd2012 Standards Association of Zimbabwe, Harare ISO 9001: 2008: Quality Management Systems Internal AuditAffiliations
ZIEFAWEZIZICTPresentation given
2015Big Data SecurityHIT, HarareEvent: Workshop on Emerging Technologies2018How to lead in the work environmentHITEvent: Women in Technology -
Other Awards
Sep 2018Techwomen Emerging Leader 2018Prudence was among 5 women in STEM selected to represent Zimbabwe as Techwomen Emerging Leaders in 2018 in San Francisco, USA. The award was granted by the United States Department of State, Bureau of Educational and Cultural Affairs.Oct 2018Women leading in advancing ICT EducationThe award was granted by STEMfem Network in 2018Nov 2024Seed Grand for Vheneka/Khanyisa Project implementationSeed Grand was awarded by the United States Department of State, Bureau of Educational and Cultural Affairs. for Vheneka/Khanyisa Project implementation. The project was about training young women and girls on how to make re-usable sanitary wear so that girls do not miss school due to lack of sanitary wear and also to reduce reproductive health problems in women.
