Bio

Kinyua Frederick Wachira

Qualifications
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Academic: MSc, BSc Electrical and Electronic Engineering
Professional: Grad. Eng (EBK, IEK), Member (IEEE, SPIE)

Profile
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A hard-working individual pursuing an academic career in a tertiary institution. Willing and able to work alone or in small/medium-sized teams to achieve set objectives within dedicated timelines

Research Interests
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  • Image Processing and Computer Vision
  • AI and Machine/Deep Learning
  • Embedded Systems Design
  • Algorithm Design

Kinyua Wachira - Full CV - Nov 2021

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(Last updated: November 16, 2021)

Publications

2019

Wachira, K.  2019.  A Quasi-Flipped Learning Model For Teaching the Raspberry Pi, 22 October. AEC 2019. , Nairobi, Kenya
Wachira, K.  2019.  Use of Emergent Mid-Level Computational Devices in the Creation of Robust and Affordable Auxiliary Infrastructure Subsystems - An Updated Review, 22 October. AEC 2019. , Nairobi, Kenya

2018

Wachira, K, ABSALOMS HO.  2018.  Enhancing STEM Education in Kenyan Tertiary Institutions through the Use of Single Board/Single Chip Devices and a Robust Sympathetic Blended Learning Model, 24 October. AEC 2018. , Nairobi, Kenya
Wachira, K, Mwangi E, Jeon G.  2018.  A Hexomino Multi-path Generation Gradient-Based Debayering Technique for Low Resolution Cameras, 24 October. AEC 2018. , Nairobi, Kenya

2017

Wachira, K.  2017.  A Simple Blended Learning Model for Teaching the Raspberry Pi, May. 24th Institution of Engineers of Kenya International Conference. , Nairobi, Kenya
  2017.  An ordinal direction driven gradient-based {RGBW} {CFA} demosaicking technique using a bayerisation process and polyomino theory, sep. 2017 {IEEE} {AFRICON}. : {IEEE} Abstract
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  2017.  A raspberry-pi centred quasi-flipped learning model to trigger creative-thinking in electrical engineering students, sep. 2017 {IEEE} {AFRICON}. : {IEEE} Abstract
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  2017.  A triumvirate blended learning method for embedded computational devices used in the Internet of Things: A case study, nov. 2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering ({ICITISEE}). : {IEEE} Abstract
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2016

Wachira, K, ABSALOMS HO.  2016.  Raspberry Pi (RasPi) as a Driver Of Creative-Thinking For Electrical Engineering Students: The UoN Case, April. 23rd Institution of Engineers of Kenya International Conference. , Ukunda, Kenya

2015

Wachira, K.  2015.  Use of Emergent Mid-Level Computational Devices in the Creation of Robust and Affordable Auxiliary Infrastructure Subsystems, May. 22nd Institution of Engineers of Kenya International Conference. , Nairobi, Kenya
Wachira, K.  2015.  Advancing Science Technology Education Using Midrange Single-chip and Single-board Emergent Computational Devices, June. 2nd African Research In Comparative Education International Conference (AFRICE 2015). , Nairobi, Kenya
  2015.  Corrective term usage in the improvement of gradient-based bayer {CFA} demosaicking algorithms, sep. {IEEE} {EUROCON} 2015 - International Conference on Computer as a Tool ({EUROCON}). : Institute of Electrical and Electronics Engineers ({IEEE}) Abstract
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  2015.  A cardinal-direction quincunx based interpolation technique with non-uniform inter-plane weighting for bayer {CFA} demosaicking, feb. 2015 {IEEE} International Conference on Signal Processing, Informatics, Communication and Energy Systems ({SPICES}). : Institute of Electrical and Electronics Engineers ({IEEE}) Abstract
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  2015.  A multi-variate weighted interpolation technique with local polling for bayer {CFA} demosaicking, may. 2015 International Conference on Information and Communication Technology Research ({ICTRC}). : Institute of Electrical and Electronics Engineers ({IEEE}) Abstract
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  2015.  A pentomino-based path inspired demosaicking technique for the bayer color filter array, sep. {AFRICON} 2015. : Institute of Electrical and Electronics Engineers ({IEEE}) Abstract
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