Devotha Nyambo
| Email: | devotha.nyambo@nm-aist.ac.tz |
Home Institution
Nelson Mandela African Institution of Science and Technology, Information and Communication Science and Engineering, PhD. Student
Biosketch
Devotha holds a MSc. Degree in Information and Communication Science and Engineering from the NM-AIST and she works as an assistant lecturer and researcher at the same. Currently, she is doing her PhD research expecting to contribute on efforts to improve smallholder dairy farmers鈥� livelihoods. She has worked on several projects targeting smallholder farmers including PEARL, AgriTT and SAFI at NM-AIST.
Research Interests and societal interests
Using Agent based modeling and machine learning to identify and predict future trends of smallholder farmers and determine areas of interventions to aid policy development.
- Machine Learning and Agent based modeling for agriculture and livestock farming
- Real world modeling
- Data collection and society engagement
Expectations as a QES Scholar during the Mobility Period
- Engage and Learn: Opportunities to attend workshops, conferences and various debates about climate change and societal transformation.
- Share and identify synergies: Share my research interests and the focus of my PhD. I expect to find colleagues of same or similar focus with whom I can work with and improve my work, skills and knowledge.
- Network: Broaden my career network by connecting with other scholars and researchers at 杏吧原创 University. I expect to have a network that will help me advance my career by collaborating in research and projects in future.
- Explore: visit various beautiful places of Ottawa.
The QES Project and Advancement of your Career
For my PhD research, the QES project has opened up a great opportunity for me to enrich my study by considering the effects of climate change in smallholder dairy systems. It is something that I did not consider at the beginning and now I see a great value being added in my work. Being a QES scholar gives me keys to create a network that I need to advance my career in machine learning and agent based modeling. I will do my best to sustain the connections that I will receive and use them to climb to higher research ladders.