Akomeno Omu
Dr Akomeno Omu is the Chief Academic Officer and Dean of Kibo School. She is passionate about curriculum design, leadership development, and educational system building for the African context, and has a wealth of experience as a researcher and educator at higher education institutions across Europe and Africa.
Education
Doctoral
2010 – 2014
PhD, Engineering
University of Cambridge
Postgraduate
2008 – 2009
MSc, Environmental Technology, Distinction
Imperial College London
Lower Undergraduate
2004 – 2008
BSE, Chemical Engineering, Cum Laude
Princeton University
Experience
Chief Academic Officer and Dean
Kibo School
2021 – Present
Learning Consultant
Mastercard Foundation
2020 – 2021
Product Manager
The African Leadership University
2019 – 2020
Global Learning and Development Manager
Andela
2018 – 2018
Dean of Faculty and Academic Affairs
The African Leadership University
2018 – 2018
Electrical Power Systems Engineering Program Lead
The African Leadership University
2017 – 2018
Engineering Curriculum Designer and Faculty
The African Leadership University
2016 – 2018
Lecturer
ETH Zurich
2015 – 2016
Postdoctoral Researcher
ETH Zurich
2014 – 2016
Postdoctoral Researcher
Empa
2014 – 2016
Research Scientist
IBM Research Africa
2014 – 2014
Doctoral Researcher
Buro Happold
2010 – 2013
PhD Candidate in the Energy Efficient Cities Initiative
University of Cambridge
2010 – 2013
Publications
A method to support multi-criteria decision making for building systems update at urban scale
Identification and apportionment of the sources of heavy metals in urban wastewater. MSc Thesis
THE IMPACT OF DISTRICT HEATING NETWORK ADOPTION ON ACHIEVING ZERO CARBON TARGETS
Integrated Analysis of Distributed Energy Resource Systems. PhD Thesis
Economic, climate change, and air quality analysis of distributed energy resource systems
Application of spatial-temporal clustering to facilitate energy system modelling
Mapping induced residential demand for electricity in Kenya
Comparison of solar thermal systems with storage: From building to neighbourhood scale
Distributed energy resource system optimisation using mixed integer linear programming