info@chuka.ac.ke
020 231 0512/ 020 231 0518
Lecturer
Email: echebet@chuka.ac.ke
Faculty: Science, Engineering & Technology
Department: Computer Science and ICT
FIELD OF SPECIALIZATION
Artificial Intelligence: Machine Learning, Deep Learning, Image classification and processing, Data mining
WORK EXPERIENCE
2021: Reviewer: GOOGLE CONFERENCE 2021
1st October,2020: Examiner for Faculty Defense Msc proposal entitled Effects of people-technology Hybrid Application on Product Innovations in Selected Star Rated Hotels in Nyeri County
2019- to date: Reviewer: Journal of Intelligent and Fuzzy Systems (JIFS)
2019-to date: Reviewer: International Journal of Computational Science and Engineering (IJCSE)
2018: Reviewer: Computers and Electronics in Agriculture
March 2015-present: Assistant Lecturer, Chuka University
April 2015-March 2015: Assistant lecturer, Kabarak University
January 2012- August 2014: Sessional lecturer, Technical University Kenya
April 2010-April 2014: Lecturer, NYS Institute of Business Studies
EDUCATION
Doctorate of Engineering in Computer Science (2019), Beijing University of Technology, Beijing, China
MSc. in Computer Science, University of Nairobi
B.Sc. in Computer Science, Kabarak University
KEY RESEARCH PROJECTS/AWARDS
1. TBNet: A LightWeight Convolution Neural Network for Detecting Tuberculosis using X-Ray Images-EDT/X
Data applications development mini-grant
2. Beijing University and Technology (BJUT) Scientific and Technological Innovation Awards for Postgraduates 2020 for article “A comparative study of fine-tuning deep learning models for plant disease identification ” for Science Citation Index Expanded
(SCIE) indexing
3. Beijing University and Technology (BJUT) Scientific and Technological Innovation Awards for Postgraduates 2020 for article “Deep pruned nets for efficient image-based plants disease classification” for SCIE indexing
4. Beijing University and Technology (BJUT) Scientific and Technological Innovation Awards for Postgraduates 2020 for article “The Convolution Neural Network with Transformed Exponential Linear Unit Activation Function for Image Classification” for EI indexing
TEACHING EXPERIENCE
March 2015-present: Assistant Lecturer, Chuka University
April 2015-March 2015: Assistant lecturer, Kabarak University
January 2012- August 2014: Sessional lecturer, Technical University Kenya
April 2010-April 2014: Lecturer, NYS Institute of Business Studies
KEY RESEARCH PROJECTS
September 2015- June 2019: Doctorate Thesis: Efficient Methods for Deep Learning with Applications in Agriculture.
SCHOLARLY PUBLICATIONS
https://scholar.google.com/citations?hl=en&user=3R8SVAEAAAAJ
RESEARCH INTERESTS
Artificial Intelligence: Machine learning, deep learning, Image classification/processing
POST-GRADUATE SUPERVISION: PHD
1. Encapsulation with Convolution Neural Networks for Coffee leaf disease classification’ ,Jeniffer Jepkoech, B827/245/2018,Embu University.
POST-GRADUATE SUPERVISION: MSC
1. Hybrid Automatic number plate recognition model using CNN’, SM22/39915/19, Peter Muthuri. – Completed 2021
2. Secure Cloud Based Tool For Mobile Devices User Data”, SM22/39953/19, Oscar Karuga Mbae – Completed 2021
3. Natural Language Processing in Vernacular Translation’, SM22/39972/19,Tonny Munene.- ongoing
4. Hybrid Model for increasing the detection speed of zero-day exploits using Convolution Neural Networks and Autoencoders, SM22/39984/19,Kevin Tuei.- ongoing
5. Quantum machine learning for predictive big data analysis, SM22/40012/19,Kinyori Saif. -ongoing
6. Algorithm for Crypto-ransomware detection and prevention on windows server using Machine Learning’, SM22/40016/19,Rose Muchemi.
7. Fine-Tuned Convolution Neural Network And Linear Multi-Class Support Vector Machine For Masked-Face Recognition”, SM22/51143/21, Mwaka Pauline Wanza. Ongoing