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Dr Andrew Kiprop KIPKEBUT

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Staff Information
PERSONAL DETAILS
Designation
Lecturer, Computer Science/ Information Technology
Department
Department of Computer Science
ACADEMIC QUALIFICATIONS

PhD  informaton Security  and audit-  Kabarak University

Msc in Computer science- University of district of columbia USA

'Bsc in Computer science - K abarak University

PROFESSIONAL QUALIFICATIONS

Comptia Security +

FIELDS OF SPECIALIZATION

Data science and Machine learning

WORK EXPERIENCE

Position: Full Time  Lecturer/Innovation coordinator

Institution: Kabarak University, 

Responsibilities:-

Lecturing  on the following units  in computer science and IT courses:-

  • Advanced Data structures and algorithms.
  • Artificial Intelligence.
  • Design and analysis of algorithms
  • Advanced internet programming
  • Deep Learning
  • Natural Language processing
  • Python programming
  • Deep Learning.
  • Cloud computing

Innovation coordinator

Create the strategy and culture required for students innovate especially in today changing world through hackathon and boot camps.

Curriculum development and research

Develop new curriculum e.g.  B.Sc. in Data Science and Analytics.

Revise and improve existing curriculums to meet the market needs e.g. B.sc in computer Science and information technology

 

 

Position: Data Analyst

Institution: CNSI  Maryland USA

Responsibilities:-

-          Delivering a  broad range of health information technology (IT) enterprise solutions

-          Interpreting data, analyse results using statistical techniques and provide ongoing reports

-          Developing and implementing databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

-          Acquire data from primary or secondary data sources and maintain databases/data systems

-          Identifying, analysing, and interpreting trends or patterns in complex data sets

-          Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

-          Work with management to prioritize business and information needs

-          Locate and define new process improvement opportunities

 

Position: Research Assistant

Institution: university of District of Columbia

Responsibilities:-

-          Participated in Sun SPOT wireless sensor network  research  for flood detection in River Potomac  Washington DC using Java.

-          Performed Research on Green and Cloud computing, Distributed Databases, DTNs among others

-          Worked on MatLab Projects

-          Design, installation, configuration, administration and troubleshooting of LAN/WAN   infrastructure and security using Cisco routers and Switches at the university lab.

-          Web development

-          Network maintenance

 

Position : Computer programmer/analyst

Institution: Kenyaweb.com Ltd: Internet service provider in Kenya

   

Responsibilities

-          Computer programming.

-          System development, testing and documentation

-          Management of Active Directory.

-          Web development, content management

-          Design, installation, configuration, administration and troubleshooting of Network security infrastructure using Cisco devices.

-          Provide Hardware and Software Support; End-User Support and Network Administration  and other  day-to-day help desk  support to staff members and end-users.

-          User training and capacity building

 

 

KEY PROJECTS
  • Best award Microsoft Imagine Cup 2019 in East Africa, Team Icropal, utilises Artificial Intelligence (AI) to help farmers know and understand diseases attacking their crops.
  • Project Hewa-Laval FranceAwards 2021 -An augmented reality app that is connected with weather stations and IoT sensors for detecting harmful pollutants in the atmosphere
RESEARCH INTERESTS

Algorith Design and Optimization

Machine learning

Artificial Intelligence

Cloud computing

IOT

Data science

LIST OF PUBLICATIONS
  1. An Evaluation of Web Based Expert System As A Catalyst for Maize Production in Kenya. Kipkebut IISTE Vol 5, No 3 (2014) pages 86-97
  2. Mobile phone Related issues in WI-FI calling. IJSET 2014 Volume 1 issue 8 IJSET (2014).
  3. Optimized Ubiquitous Computing in Wearable technology and QOL Kipkebut ,Sawe Volume 1 issue 3 IJSET (2014)
  4. A Study To Spot And AuthenticateThe Critical FactorsIn SME ERP Systems Implementation   Kipkebut , Betty  Volume 6 issue 4  IJSET (2019)
  1. Block chain, a disruptive Technology in financial assets  A KIPKEBUT, B JEPKEMEI Iconic Research and Engineering Journals 2 (9), 10 2019
  2. Design issues in E commerce web app development  S Karume, K Andrew IJSER 4 (3), 10 (2016)
  1. Towards multi-lingual feature engineering for sms spam detection

International research journal of modernization in engineering technology and science volume 2 issue 08 pages 8.

  1. A Reinforcement Learning Approach to Service Based User Admission in a Multi-Tier 5G Wireless Networks

MO Ojijo, D Ombuya, A Kipkebut, W Ayako, C Mochoge Kabarak Journal of Research & Innovation 11 (3), 240-250

  1. Machine learning model for detecting Covid-19 Virus Infections - A case of Kenya International Journal of Innovative Research Science Engineering and Technology Volume 9 Issue 5 IJIRSET.
  2. Kipkebut, A., Thiga, M., & Okumu, E. (2019). Machine Learning Sms Spam Detection Model.
  3. A survey on the status of Cyber security during Covid-19 Pandemic. Andrew Kipkebut, John Chebor, 2020/6, Journal Iconic research and Engineering Volume 3 Issue 12
  4. Android Based Multi-Lingual SMS Spam Prototype Design and Development, IRE Journals ,Volume 5 Issue 12 , ISSN: 2456-8880
  5. Prototyping a Serial Number Based Authentication Model for a Computer in a Wireless Local Area Network, JC CHEBOR, SM KARUME, NB MASESE, A KIPKEBUT

    International Journal of Wireless & Mobile Networks 14 (4)

CONFERENCES & INVITED PRESENTATIONS

Kabarak University - conference

HONORS, PRIZE AND AWARDS
  • Best award Microsoft Imagine Cup 2019 in East Africa, Team Icropal, utilises Artificial Intelligence (AI) to help farmers know and understand diseases attacking their crops.
  • Project Hewa-Laval FranceAwards 2021 -An augmented reality app that is connected with weather stations and IoT sensors for detecting harmful pollutants in the atmosphere
TEACHING AREAS
  • Advanced Data structures and algorithms.
  • Artificial Intelligence.
  • Machine learning
  • Design and analysis of algorithms
  • Advanced internet programming
  • Deep Learning
  • Natural Language processing
  • Python programming
  • Cloud computing
  • Numerical analysis and programming

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)