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Community

Last edited 18 days ago by Henri-Count Evans
📖 A directory of community members to help our community get to know itself better
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Community directory
1
Country of origin
Interests
Affiliations
Completed community participation
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Name
Country of origin
Interests
Affiliations
Intro blurb
Personal website / bio + contact
Looking to...
Your Area of Volunteering
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Amal Nammouchi
Tunisia
Energy
Applied ML for Sustainability
Karlstad University, Sweden
Amal is currently pursuing a PhD in the intersection of Energy and AI, looking into building optimal, scalable and explainable energy management systems for microgrids and renewable energy communities. She was previously the chair of IEEE SUPCOM SB and currently the chairing the Application and Selection committee of the deep learning indaba 2024. Amal was the winner of the prestigious MIT Energy and Climate Hack, alongside other awards directly or indirectly related to climate change and AI for social benefits.
brainstorm toward collaborative academic paper writing
collaborate
facilitate community activities
mentor
present a seminar
present a tutorial
run a seminar
pitch a project
Website, Documentation and Social media
Research
Seminars and Meetings
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Ada Kibet
Kenya
GeoAI
ML for Social Impact
Remote Sensing
Atlas AI
Industry geospatial data scientist committed to continuous learning through an advanced degree in Computer Science
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AFOLA Kossi Mawouena Samuel
Togo
Agriculture and Food Security
Community Governance
Applied ML for Sustainability
Biodiversity
Climate Prediction
African Institute for Mathematical Sciences (AIMS)
I am Kossi Mawouena Samuel Afola, a Togolese national with a strong academic and professional background in the sciences, particularly in physics and mathematical sciences. My academic journey includes a Bachelor of Science in Physical Sciences from the University of Lome, Togo, and a Master of Science in Mathematical Sciences from the African Institute for Mathematical Sciences in Accra, Ghana.
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Sabrina Amrouche
Algeria
Agriculture and Food Security
Remote Sensing
Climate Prediction
ZYTLYN
I am leading the data science activities at ZYTLYN. I help build models to forecast the demand in the travel industry using various data sources.
brainstorm toward collaborative academic paper writing
Seminars and Meetings
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Peniel Adounkpe
Benin
Hydrology
Natural Hazards and Vulnerability
brainstorm toward collaborative academic paper writing
other
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Ibrahim Salihu Yusuf
Nigeria
Climate Prediction
Remote Sensing
Agriculture and Food Security
InstaDeep
Ibrahim is an AI Research Engineer and a member of the AI for Social Good (AI4SG) Team at InstaDeep. He is passionate about utilizing AI for the betterment of humanity and has expertise in geo-spatial machine learning, computer vision and computational biology. Ibrahim's portfolio showcases projects ranging from enhancing food security and disaster response to advancing immunology research and development.
brainstorm toward collaborative academic paper writing
collaborate
Research
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Mouhamadou Bamba Sylla
Sengal
Natural Hazards and Vulnerability
Climate Prediction
Dr Mouhamadou Bamba Sylla is the Research Chair in Climate Change Science at the African Institute for Mathematical Sciences based in Kigali, Rwanda. Prior to this, he was the director of research and the senior scientist in climate modeling and climate change at the WASCAL Competence Center, Ouagadougou, Burkina Faso. There, he was also the head of the climate change and climate variability research cluster and acting coordinator of observation networks. Dr Sylla completed a postdoc at the International Centre for Theoretical Physics, Trieste, Italy and he was a research scholar and lecturer at Loyola Marymount University, Los Angeles, USA.
collaborate
develop and maintain the community - via a Special Interest Group (SIG)
Research
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Brian Halubanza
Zambia
Agriculture and Food Security
Applied ML for Sustainability
University of Zambia
Brian Halubanza is a PhD candidate in Computer Science at the University of Zambia and works as a lecturer in the School of Science, Engineering and Technology at Mulungushi University, Zambia. His research interests centre around Artificial Intelligence and other emerging technologies such as Internet of Things (IoT), Geospatial, and cloud computing technologies. His current research looks at the design of a framework for an early warning system for the management of the spread of Locust invasion in Zambia based on Artificial Intelligence and other emerging technologies. Holding a Bachelor of Science in Computer Science from Copperbelt University and a Master of Science in Information Technology Management from Binary University of Management and Entrepreneurship, Malaysia, he remains dedicated to integrating theory and practice, and works under the supervision of Dr. Jackson Phiri, PhD and Professor Phillip O.Y Nkunika.
brainstorm toward collaborative academic paper writing
develop new community activities
Research
Governance
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Rendani Mbuvha
South Africa
Climate Prediction
Energy
Natural Hazards and Vulnerability
Hydrology
Agriculture and Food Security
University of Witwatersrand and Queen Mary University of London
I am currently the DeepMind Academic Fellow in Machine Learning in the School of Electrical Engineering and Computer Science at the Queen Mary University of London and an Associate Professor in Actuarial Science at the University of Witwatersrand.
mentor
participate
learn
brainstorm toward collaborative academic paper writing
Seminars and Meetings
Governance
Website, Documentation and Social media
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Njogu
Kenya
Agriculture and Food Security
Applied ML for Sustainability
Community Governance
Climate Prediction
Disaster Management
ACWICT
Lead Trainer Data science & Analytics/Mentor
brainstorm toward collaborative academic paper writing
other
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John Bagiliko
Ghana
Agriculture and Food Security
Climate Prediction
Applied ML for Sustainability
Natural Hazards and Vulnerability
Hydrology
Remote Sensing
University of Rwanda, African Institute for Mathematical Sciences
John Bagiliko is the president and co-founder of AI Ghana. He is also a Ph.D. student at the University of Rwanda. He is passionate about using data, statistics, data science, machine learning, and artificial intelligence to help African rainfed farmers. His current research is around improving satellite rainfall estimates in the African rainfed setting. John is also passionate about community development, and served as the country ambassador of Zindi in Ghana from 2020 to 2022 and helped in building vibrant data science and AI communities in Ghana including AI Ghana.
brainstorm toward collaborative academic paper writing
Seminars and Meetings
other
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UBONG CAMILUS BEN
Climate Prediction
Natural Hazards and Vulnerability
Applied ML for Sustainability
Community Governance
Disaster Management
UNIVERSITY OF CALABAR
Ubong is a graduate researcher at University of Calabar, Nigeria. He is passionate about achieving a sustainable African environment. He is passionate about data science, applied machine learning and artificial intelligence. He has been deeply involved in research bordering around earthquake and landslide vulnerability and remediation as well as climate change precursor modelling. He actively participates in grassroot campaigns promoting migration towards clean energy in local households. Apart from looking for opportunities to sharpen and better his skills, Ubong is looking for PhD opportunities in the area of climate change and renewable energy.
collaborate
develop new community activities
present a seminar
Seminars and Meetings
Research
Workshops
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Alban OUEDRAOGO
Burkina Faso
Climate Prediction
Disaster Management
Agriculture and Food Security
ML for Social Impact
Energy
Zindi Burkina Faso
Alban is the passionate about data science and AI. He thinks that AI is a great opportunity to solve Africa’s main challenges.
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Yassine Yaakoubi
Tunisia
Disaster Management
Energy
Applied ML for Sustainability
Natural Hazards and Vulnerability
McGill University
I am an IVADO-COSMO Postdoctoral Fellow at McGill University, interested in optimization & machine learning for decision-making in large-scale and/or stochastic settings, sustainable development, AI for social good, and climate-research to climate-action pipelines.
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Henri-Count Evans
Eswatini
Journalism
Climate change
Research
University of Eswatini/University of Limpopo
brainstorm toward collaborative academic paper writing
collaborate
develop new community activities
Website, Documentation and Social media
Research
Workshops
16
Santiago Hincapie Potes
Colombia
Biodiversity
Climate Prediction
Disaster Management
Hydrology
Natural Hazards and Vulnerability
Agriculture and Food Security
Google Research
I am a research engineer in the Google Research Accra Team, in particular I’m part of the . Currently I’m working on weather modelling for the global south.
brainstorm toward collaborative academic paper writing
collaborate
facilitate community activities
hire
mentor
teach
Seminars and Meetings
Workshops
Governance
17
Phyllis Nabangi
Uganda
Climate Prediction
Disaster Management
Remote Sensing
Agriculture and Food Security
Natural Hazards and Vulnerability
Carnegie Mellon University Africa
I am currently a final year student at Carnegie Mellon University Africa pursuing Master of Science in Information Technology with a concentration in Data Science and Applied Machine Learning.
learn
collaborate
brainstorm toward collaborative academic paper writing
work
apply for a PhD
Seminars and Meetings
Website, Documentation and Social media
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Foutse Yuehgoh
Cameroon
Agriculture and Food Security
Hydrology
Natural Hazards and Vulnerability
Energy
Biodiversity
Climate Prediction
Disaster Management
CNAM
I am a PhD student specializing in recommendation systems. I am deeply engaged in advancing the fields of Natural Language Processing (NLP) and graph theory. Concurrently, I contribute to 'HydroAs', a project aimed at combating flood-related challenges. HydroAs endeavors to predict flooding events in advance by integrating traditional hydrological models with innovative AI techniques. This interdisciplinary approach reflects my commitment to applying cutting-edge research to address critical environmental issues.
brainstorm toward collaborative academic paper writing
Seminars and Meetings
Workshops
19
Phyllis Nabangi
Uganda
Agriculture and Food Security
Applied ML for Sustainability
Disaster Management
Climate Prediction
Graduate Student
brainstorm toward collaborative academic paper writing
Research
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Stephen Kalyesubula
Uganda
Applied ML for Sustainability
Climate Prediction
Makerere University
Stephen Kalyesubula, currently pursuing an M.Sc. in Computer Science from Makerere University, masterfully integrates skills in data analysis, embedded system design, IoT, and robotics to advance innovative solutions in health and agriculture. Proficient in tools such as PowerBI and Tableau, Stephen's data analytics expertise is both vast and versatile. His deep passion for AI, underpinned by specialized skills in computer vision and image processing, has driven him to spearhead transformative projects, including medical imaging for lung cancer detection using deep learning and crop differentiation with UAV drone imagery. As a distinguished Google DeepMind Scholar, Stephen's commitment transcends academia. His passion for AI4Health and AI4Agriculture is evident in his consistent efforts to push technological boundaries in digital innovations and database systems.
brainstorm toward collaborative academic paper writing
other
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