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
Redouane Lguensat
Morocco
Climate Prediction
Climate change
Research
Institut Pierre-Simon Laplace (IPSL) and Institut de Recherche pour le Développement (IRD)
I am a Research Engineer (permanent staff) at the climate modeling center of IPSL in Sorbonne Unviersité (Paris). I work on ML for climate modeling.
brainstorm toward collaborative academic paper writing
collaborate
mentor
Governance
Seminars and Meetings
Research
Workshops
Tuntufye Mwanyongo
Malawi
Applied ML for Sustainability
Disaster Management
Climate Prediction
Agriculture and Food Security
Weather Nowcasting and ForecastingFemAnalytica
I am a passionate and enthusiastic Data scientist with experience and interest in applying AI in domains like Climate and health.
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
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.
Deborah Arthur
Ghana
Climate Prediction
Remote Sensing
Community Governance
Weather Nowcasting and ForecastingAI Ghana
Deborah Arthur is a data analyst and the vice- president and co-founder of AI Ghana. She is the country ambassador for Zindi Africa. Deborah is passionate about machine and artificial intelligence to enhance the customer experience and improve inventory management Her passion also lies in women advocacy and community development where she contiually contribute to the development of some tech communities in Ghana and beyond. Deborah is also a member of the Django US programs community.
apply for MScapply or a MSc
Doug Miller
USA
Energy
Biodiversity
Applied ML for Sustainability
Energy Peace Partners + Zero Labs
Doug Miller is a systems entrepreneur with over a decade of experience in clean energy markets, business model innovation, behavioral design, and open-source web3 technology.
Currently, at nonprofit , Doug leads the development of the global market for "Peace Renewable Energy Credits" to deliver catalytic private sector finance to scale access to renewables in fragile countries. He co-founded and serves as Strategic Partnerships Lead at the climate software startup , which offers digital renewables as a service to help companies power their operations and value chains with renewables and prove it with deep traceability. Previously, Doug developed and led numerous industry-shaping initiatives, publications, and tools in his roles at leading nonprofits RMI, Energy Web, and Clean Energy Buyers Alliance. Doug holds degrees with top honors from Imperial College London and the University of Pennsylvania with numerous academic awards for his research about applying behavioral science to increase the adoption of climate solutions.
Wisdom Mdumiseni Dlamini
Eswatini
Agriculture and Food Security
Climate Prediction
Natural Hazards and Vulnerability
Remote Sensing
Disaster Management
Biodiversity
Applied ML for Sustainability
Weather Nowcasting and ForecastingCentre for Climate Change and Sustainability Research, University of Eswatini
I am an environmental scientist and computational geographer with research interests and experience in a wide variety of scientific and management areas such as environmental science, climate science, ecology, remote sensing, and geographic information systems. I am particularly interested in machine learning/,AI applications, particularly in applied remote sensing, geospatial and ecological modeling and human-environment interactions.
Odewale Abayomi
Nigeria
Hydrology
Applied ML for Sustainability
Remote Sensing
Disaster Management
Energy
Biodiversity
brainstorm toward collaborative academic paper writing
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
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
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
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
Peniel Adounkpe
Benin
Hydrology
Natural Hazards and Vulnerability
brainstorm toward collaborative academic paper writing
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
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
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)
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
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
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
Sodiq Jinad
Nigeria
Climate Prediction
Applied ML for Sustainability
Biodiversity
Weather Nowcasting and ForecastingCommunity Governance
Data Scientist Network
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
Bernardin LIGAN
Benin
Agriculture and Food Security
Remote Sensing
Disaster Management
Applied ML for Sustainability
University Mohammed VI Polytechnic (UM6P)
I'm a Phd Student at UM6P in Morocco where I'm working on computer vision and Hyperspectral Imaging.
Ditiro Rampate
Botswana
Remote Sensing
Agriculture and Food Security
Biodiversity
SisonkeBiotik, Omdena Inc.
passionate individual using data science for societal challenges
Omeiza Olumoye
Nigeria
Remote Sensing
Agriculture and Food Security
Climate Prediction
Weather Nowcasting and ForecastingApplied ML for Sustainability
Michigan State University
Cesilia Mambile
Tanzania
Climate Prediction
Natural Hazards and Vulnerability
Disaster Management
Biodiversity
University of Dododma
PhD Candidate at Nelson Mandela African Institution of Science and Technology, Investigator Artificial intelligence, Climate Change
Mulugeta Getachew
Ethiopia
Agriculture and Food Security
Energy
Applied ML for Sustainability
Remote Sensing
Addis Abeba Science and Technology University
I am study Mechatronics in Addis Abeba Science and Technology University (AASTU)
Sarah Traoré Kané
Côte d’Ivoire
Natural Hazards and Vulnerability
Disaster Management
Hydrology
Community Governance
The University of Texas at Austin
I am a water resources engineer and currently PhD student interested in the adaptive capacity of African institutions to cope with extreme weather events like flood and heat.
brainstorm toward collaborative academic paper writing
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
Dauda Jeffrey
Nigeria
Applied ML for Sustainability
ML for Social Impact
Research
African Leadership University
Jeffrey is a final-year Software Engineering undergrad at ALU in Rwanda, and he is passionate about the Application of Machine Learning with Sustainability.
apply or a MSc
brainstorm toward collaborative academic paper writing
develop and maintain the community - via a Special Interest Group (SIG)
facilitate community activities
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.
Youness Abboubi
Morocco
Agriculture and Food Security
Weather Nowcasting and Forecasting Climate Prediction
Natural Hazards and Vulnerability
Disaster Management
Remote Sensing
Energy
Biodiversity
Hydrology
Community Governance
MOROCCAN DATA SCIENTISTS
I’m Youness Abboubi, industrial engineering student, public relations manager at MOROCCAN DATA SCIENTISTS
develop new community activities
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.
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
Brian Halubanza
Zambia
Remote Sensing
Climate change
ML for Social Impact
Climate Prediction
Mulungushi University