Staff Members

Kalyankolo Zaina

Job Title and Affiliation

Assistant Lecturer and Undergraduate Project Co-ordinator, Electrical and Electronics Department, FAST, Mbarara University of Science and Technology, Mbarara Uganda

Research Interests:

My main research interest centers on modern spectrum management techniques. From determining the level of actual spectrum utilization through spectrum occupancy measurements to the analysis of such data and developing models that can predict the future status of allocated channels Signal Processing, Renewable Energies, Microwaves, Radar Systems, Nano Technology.


Masters in Telecommunication Systems, University of Science and Technology Houari Boumediene, Algeria, 2012-2014

Bachelors in Electrical and Electronics Engineering University of Science and Technology Houari Boumediene, Algeria, 2009-2012

Certificate in French Language University of Algiers 2008 - 2009

Key Technical Skills:

MATLAB, C & C++ Programming, Communication System Simulation of Key Mobile Technologies, Spectrum Data Analysis &MCS Spectrum Analyzer Software, VHDL & HTML

Microsoft Office Suite&Computer Troubleshooting

ADS (ADVANCED DESIGN SYSTEMS, PSIM, ISIS & PORTEUS, CSS, Cisco CCNA and system, Component Linux based operating systems, LAN/WAN design, and support, Fiber optics technologies


Assistant Lecturer in Electrical and Electronics Engineering department, Mbarara University of Science and Technology January 2021 to date

Lecturer and Associate Dean in School of Engineering and Applied Sciences, Kampala International University

July 2016 - January 2021.

Lecturer in Engineering Department, Mutesa1 Royal University January 2015 – December 2017

Selected Publications:

Stephen Ndubusi Nnamchi, O.D.Sanya, K.Zaina and Vicent Gabrrial, (Sept 2018). Development of dynamic thermal input models for simulation of photovoltaic generators. International Journal of Ambient Energy DOI: 10.1080/01430750.2018.1517676

K.Zaina, sulaiman sani, Theophilus Ekpa and Abdrrahuman, (May 2019). On Improving Power Supply Flexibility J of NAMP. Journal of Mathematics Physics 48 347-352

Language skills

English, French, Arabic, Swahili, Luganda

Contact Details,

Fortunate Ogene

Brief Bio Fortunate Ogene is an Assistant Lecturer in the Department of Energy, Minerals and Petroleum Studies, Faculty of Applied Sciences and Technology. He is a Chemical Engineer with a profound background in Petroleum Geosciences. Fortunate has experience in computation studies involving modelling and simulation of biomass conversion and chemical processes involving bio-fuel upgrading . He has taught several courses to mention Fundamentals of Petroleum Processing, Refinery Operations and Maintenance, Formation Evaluation, Petroleum Geology, Seismic Data Interpretation among others. Fortunate coordinates several activities in the Department. He is the coordinator of Students’ welfare, Workshops & Seminars. He is also responsible for coordination of students’ Industrial placements and curriculum Development. Academic Background
  • M.Tech Chemical Engineering (Petroleum Science and Technology), Indian Institute of Technology Guwahati India;
  • Bsc. Petroleum Geoscience and Production, Makerere University Kampala Uganda
Research Interests
  • Biomass conversion into chemicals
  • Bio-fuels
  • Computational Fluid Dynamics
  • Plastic wastes utilization
  • Chemical Process modeling and simulation
  • O. Fortunate and N. Kishore, “Computational Fluid Dynamics Investigation on Catalytic Hydrodeoxygenation of a Bio-Oil Model Compound in a Fluidized Bed Reactor,” J. Therm. Sci. Eng. Appl., vol. 13, no. 6, pp. 1–11, 2021. DOI: 10.1115/1.4050565
Professional Memberships Society of Petroleum Engineers (SPE)  

Ian Taremwa

  • Laboratory technician in the department of electrical and electronics engineering at the Faculty of Applied Science and Technology.
Additional Responsibility
  • Department coordinator of practical timetabling and management
Academic qualifications
  • B.Eng. Electrical Engineering (2020) Kyambogo University
  • National Diploma in Electrical engineering (2015) UTC Elgon
Previous work experience
  • Electrical Technician in Coca Cola Beverages Africa, Rwenzori bottling plant Namanve.
  • Apprentice in PW Electrical, South Africa.
Ancillary Training
  • Siemens PLC service 1 and programming 1
  • Industrial automation and control by Alpes Technologies
Research interests
  • Power systems network analysis
  • Optimization of maintenance and productivity of small and large industrial organizations
Courses he has taught at MUST
  • Control Systems Engineering

Denis Igambi

Brief Bio Denis Igambi is an Assistant Lecturer in the Department of Mechanical and Industrial Engineering (MIE), Faculty of Applied Science and Technology (FAST), Mbarara University of Science and Technology (MUST). Denis has  developed a lot experience in research & development in fields of product design and development as well as  embedded systems. Denis has been part of  National Enterprise Corporation (NEC) as a mechanical/information/electronics engineer in the research & development department with a number of responsibilities i.e., product design & manufacturing processes development, computer vision applications for military applications, CAD/CAM processes, e.t.c. Academic Credentials 1) MSc. Information and Communications/Electronics Engineering, Beijing Institute of Technology (BIT), Beijing, China. 2) BSc. Mechanical Engineering (First-class honors), Makerere University (MUK), Kampala, Uganda. Research interests 1) Mechanical design and product development, 2) Computer aided design and manufacturing (CAD/CAM), 3) Structural analysis, 4) Artificial intelligence and machine learning, 5) Applied advanced mathematics in engineering, 6) Digital signal processing and its applications, 7) Embedded systems and robotics, 8) Computer vision and algorithm development. Publications 1)  Robust Adaptive Beamforming Based on Desired Signal Power Reduction and Output Power of Spatial Matched Filter, Denis Igambi, Xiaopeng Yang, Babur Jalal, IEEE Access 2018. 2) Low complex direction of arrival estimation method based on adaptive filtering algorithm, Babur Jalal, Xiaopeng Yang, Denis Igambi, Tehseen Ul Hassan, Zeeshan Ahmad, 10/1/2019