1. Paul Buchana
CONTACT
INFORMATION
Carnegie Mellon University in Rwanda
Department of Electrical & Computer Engineering
Telecom House, Boulevard de l’Umuganda, Kacyiru-
Kigali, Rwanda
Phone(1) +1-412-499-4138
Phone(2) +250-739-559-143
E-mail:pbuchana@andrew.cmu.
edu
SkypeId: buchana.paul
RESEARCH
INTERESTS
Data Science & Machine Learning: pattern recognition, signal processing, time series analy-
sis, forecasting, model estimation, building and evaluation
EDUCATION M.S., Electrical and Computer Engineering, CMU (2014-2015) GPA (3.88/4) QPA (3.75/4)
B.S., Computer Engineering, Makerere University (2009-2013) First-class honors GPA (4.54/5)
TEACHING
EXPERIENCE
Carnegie Mellon University, Pittsburgh, PA & Kigali, Rwanda
Teaching Assistant August 2015 - May 2016
• Teaching Assistant for Data & Inference, Applied Machine Learning, Data Analytics,
Big Data Science & Pattern Recognition Theory
• Tasked with grading and setting assignments and exams
• Holding office hours and recitations aimed at guiding students through complex top-
ics, assignments and projects
WORKING
EXPERIENCE
Earth Energy Ltd., Kampala, Uganda
Director Research and Development February 2014 -
• Earth Energy is a Renewable Energy startup based in Kampala, Uganda. The company
is focused on research into alternative forms of energy pertinent to sub-Saharan regions
of Africa.
• Responsible for reviewing feasibility studies for EE’s renewable energy projects and
comparing different renewable options’ IRR prior to consideration
Tracenode Ltd., Kampala, Uganda
Chief Strategy Officer February 2014 -
• Tracenode is a software development startup based in Kampala, Uganda. It’s flagship
product is an automobile and asset tracking solution
• Tasked with seeking market for the company’s products both in and out of Uganda
• Sourcing seed & venture funding for the company
CONFERENCE
PUBLICATIONS &
PIPELINE
RESEARCH
Buchana, P., & Ustun, T. S. (2015, March). The role of microgrids & renewable energy in ad-
dressing Sub-Saharan Africa’s current and future energy needs. In Renewable Energy Congress
(IREC), 2015 6th International (pp. 1-6). IEEE.
Simultaneous Forgery Identification and Localization in Paintings Using Advanced Correlation
Filters. Co authored with Prof. Marios Savvides (Electrical & Computer Engineering Professor
at Carnegie-Mellon University) (Pending ICIP Publication).
Windstorm Risk Assessment for Offshore Wind Farms in the North Sea. Research with Prof.
Patrick McSharry (Senior Research Fellow at Oxford University, visiting Professor at Carnegie-
Mellon University in Rwanda) (Ongoing).
SKILLS Language: English (Fluent)
Computer Programming & Numerical Analysis: C++, Julia, Matlab, Octave, Python, R
Databases: MySQL, PostgreSQL
Software Packages and Office Tools: Lab View, NI Circuit Design Suite, LATEX