Upload

Mr. Francis K. KOMEN

OffLine
Staff Information
PERSONAL DETAILS
Designation
Lecturer Computer Science and Information Technology
Department
School of Science Engineering and Technology
Computer Science and Information Technology
Address
P.o Box 3270 Nakuru
ACADEMIC QUALIFICATIONS

PhD Information Technology Kabarak University (Ongoing)

M.Sc Information Technology (Kabarak University)

B.Sc in Information Technology (Kabarak University)

PROFESSIONAL QUALIFICATIONS

Huawei Certified ICT Associate (HCIA),                                                      2021

FIELDS OF SPECIALIZATION
  • Artificial Intelligence (AI)
  • Information Technology (IT)
  • Internet of Things (IoT)
  • Machine Learning (ML)
WORK EXPERIENCE
  1. Assistant Lecturer School of Science Engineering and Technology Kabarak University - May 2023 to date
  2. Part-time lecturer at Kabarak University  in Computer Science Information Technology - 2018 to April 2023
  3. Head of Academics Department Kabarak University TVET Institute - December 2020 to April 2023
  4. Kabarak University Energy Officer- August 2017 to December 2020
RESEARCH INTERESTS

Artificial Intelligence | Smart Energy | Deep Learning |

LIST OF PUBLICATIONS

Book Publication

Francis Komen Kimoryot (2022). Artificial Neural Network-Based Power Demand Forecasting Model for Energy Management. Paperback. ISBN-13: ‎979-8402028166.Link https://www.amazon.com/dp/B09RLXVMHH?ref_=pe_3052080_397514860 .

Peer Reviewed Journal papers

Francis K Komen, Moses M Thiga, Peter Rugiri (2020). Designing an Artificial Neural Network Power Demand Forecasting Model. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 9, Issue 10, October 2020, ISSN: 2278 – 1323

Francis Komen, Moses Thiga, Peter Rugiri Artificial Neural Network Power Demand Forecasting Model for Energy Management a Case Study of Kabarak University. Conference Proceedings of The Kabarak University International Conference on Computing and Information Systems, Edited by Christopher M. Maghanga and Moses Thiga. 14th-15th October 2019 Nakuru, Kenya.

CONFERENCES & INVITED PRESENTATIONS
  1. Francis Komen, Moses Thiga, Peter Rugiri Artificial Neural Network Power Demand Forecasting Model for Energy Management a Case Study of Kabarak University. Conference Proceedings of The Kabarak University International Conference on Computing and Information Systems. 14th-15th October 2019 Nakuru, Kenya.
TEACHING AREAS
  1. Artificial Intelligence
  2. Object Oriented Programming with C++
  3. Knowledge Based Systems
  4. Computer Organisation and Architecture
  5. Data Communication.
  6. System Analysis and Design
  7. Information Technology Research Projects

 

Our Moral Code

As members of Kabarak University family, we purpose at all times and in all places, to set apart in one’s heart, Jesus as Lord. (1 Peter 3:15)