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Poster session
Michael Melese Woldeyohannis · Bernardt Duvenhage · Nyamos Waigama · Asaye Bir Senay · Claire Babirye · Tensaye Ayalew · Kelechi Ogueji · Vinay Prabhu · Prabu Ravindran · Fadilulah Wahab · ChukwuNonso H Nwokoye · Paul Duckworth · Hafte Abera · Abebe Mideksa · Loubna Benabbou · Anugraha Sinha · Ivan Kiskin · Robert Soden · Tupokigwe Isagah · Rehema Mwawado · Yimer Mohammed · Bryan Wilder · Daniel Omeiza · Sunayana Rane · Richard Mgaya · Samsun Knight · Jessenia Gonzalez Villarreal · Eyob Beyene · Monika Obrocka Tulinska · Luis Fernando Cantu Diaz de Leon · Joseph Aro · Michael T Smith · Michael Famoroti · Praneeth Vepakomma · Ramesh Raskar · Debjani Bhowmick · Chukwunonso H Nwokoye · Alejandro Noriega Campero · Hope Mbelwa · Anusua Trivedi

Fri Dec 13 11:00 AM -- 12:00 PM (PST) @ None

Author Information

Michael Melese Woldeyohannis (Addis Ababa University)
Bernardt Duvenhage (Praekelt Consulting)

Feersum Engine NLP & Machine Learning Lead at Praekelt Consulting, PhD Bernardt Duvenhage received his Ph.D. in Computer Science from the University of Pretoria, South Africa in 2015. Bernardt is also a Google Cloud Certified Professional Data Engineer. In 2017 he joined Praekelt’s Feersum Engine Team as the lead developer of the natural language processing and understanding (NLP & NLU) capability. Before Praekelt he was a principal researcher and a research group leader of image processing at the Council for Scientific and Industrial Research in Pretoria. His research interests include natural language understanding, computer vision and field robotics.

Nyamos Waigama (The University of Dodoma)
Asaye Bir Senay (Jimma University)
Claire Babirye (Uganda Technology and Management University)
Tensaye Ayalew (Ethiopian institute of Technology-Mekelle unversity)
Kelechi Ogueji (Instadeep)

Research Engineer with a focus on NLP

Vinay Prabhu (UnifyID Inc)
Prabu Ravindran (University of Wisconsin, Madison)
Fadilulah Wahab (Zalando)
ChukwuNonso H Nwokoye (Nnamdi Azikiwe Univeristy, Awka)
Paul Duckworth (University of Oxford)
Hafte Abera (Addis Ababa University)
Abebe Mideksa (Addis Ababa University)
Loubna Benabbou (University of Quebec UQAR)

Dr. Loubna BENABBOU is a Professor at the Université du Québec à Rimouski (UQAR). She is an industrial engineer from EMI Engineering School and holder of MBA and PhD in machine learning and optimization from Laval University. Her research work lies to machine learning theory and mathematical optimization in general. She is interested in improving the generalization capacity of multi-class classifiers using statistical learning theory and mathematical optimization. She is also interested to develop and to apply machine learning and optimization models to valorize data for making better decisions and improving operational processes in finance, supply chain management, healthcare and energy.

Anugraha Sinha (Machine Learning Tokyo Labs)
Ivan Kiskin (University of Oxford)
Robert Soden (Columbia University)
Tupokigwe Isagah (Mzumbe University)

A research analyst enthusiast about solving complex problems using analytical skills. Highly interested to work with teams to optimize the process of planning and designing IT capabilities to meet the objectives of the organization and solving community problems

Rehema Mwawado (The Nelson Mandela African Institution of Science and Technology)

Rehema Hamis Mwawado is a master’s degree student in the Department Computation and Communication Sciences and Engineering in The Nelson Mandela African Institution of Science and Technology. She is currently doing her research that focuses on developing a fast and accurate method for the segmentation of diabetic foot ulcers. She has a bachelor's degree in Electronics and Communication Engineering from St.Joseph University in Tanzania.Her other research interests include digital image processing, computer vision and dep learning.

Yimer Mohammed (Addis Ababa University)

Yimer Mohammed is a PhD candidate in the field of Information Systems at Addis Ababa University. He received his Master’s degree in Health Informatics at Addis Ababa University, Addis Ababa, Ethiopia. Besides, He received Bachelor’s degree in computer Science at Awassa University, Awassa, Ethiopia. His research interest includes, but not limited to machine learning, behavioural information security and privacy, IT adoption and usage behaviour, and medical informatics. In short, he has interests in research and project development activities in the field of Information Systems in general and behavioural Information Systems in particular. He has published his papers in international conferences such as ICT4AD, AIS, and Deep Learning Indaba.

Bryan Wilder (Harvard University)
Daniel Omeiza (University of Oxford)
Sunayana Rane (Massachusetts Institute of Technology)
Richard Mgaya (Sokoine university of Agricultue)
Samsun Knight (Brown University)

I am a Ph.D. candidate in economics at Brown University, specializing in the economics of public policy and its intersection with machine learning, both in terms of policy improvements that ML can effect and in terms of studying the optimal policies for regulating ML.

Jessenia Gonzalez Villarreal (Pontifical Catholic University of Peru)
Eyob Beyene (AAU, Addis Ababa Institute of Technology)
Monika Obrocka Tulinska (Praekelt.org)

Monika Obrocka is a Data Scientist at Praekelt.org. Her research interests are in natural language processing for resource scarce languages. Her work combines natural language processing, statistical methods, and insights from behavioral science. Previously she worked at the South African Radio Astronomy Observatory as a Research Data Scientist, where she collaborated with IBM Research Africa and SETI Breakthrough Listen. She received her Ph.D. in Radio Astronomy from Manchester University, and spent two years at Rutherford Appleton Laboratory in Oxford as an undergraduate student.

Luis Fernando Cantu Diaz de Leon (ITAM)

Mexican MSc in Computer Science student. Interested in AI for Social Good and Machine Learning for Development.

Joseph Aro (OEA CONSULTS)

Joseph Aro is a creative GIS analyst, Geographer, and Climate Change Analyst with over 6 years’ experiences in conducting remote sensing analysis, digital mapping, database design and administration, as well as spatial analysis, climate change analysis and Field data collection. He is currently the Project Manager, the International Association of Young Geographers, West Africa, The Director of GISCleric International and the Co-founder, OEA Consults, an early startup focused on using Geospatial technologies, Machine learning, Artificial Intelligence as well as drone mapping to solving environmental and societal challenges in his country, Nigeria. He formerly worked as a Community Liaison, Data Analyst with Justice and Empowerment Initiative, A NGO working on advancing Human rights in Nigeria. Joseph holds a Bachelors and a Masters degree in Geography with focus on GIS, climate change impacts and disaster risk reductions. He currently pursues a PhD. He is an International Fellow of the Humanitarian Innovation Initiatives.

Michael T Smith (University of Sheffield)

I’m currently a post-doc researcher at the University of Sheffield, in Neil Lawrence’s lab. We’re developing new tools to allow data to be anonymised, through the framework of differential privacy. As part of an innovate UK collaboration we’re building the scikic inference tool, which will provide both a conversation interface and a backend API for inferring demographic and lifestyle features about individuals. It is hoped it will be a useful tool to demonstrate the power of machine learning. In the future we hope to develop a user-centric data model for the analysis and storage of user data, with the motivation that personalised medicine and associated research requires access to user data. I spent most of 2014 lecturing at Makerere University, Kampala, Uganda. There I became involved in the field of Development Informatics, and have several on-going research topics; covering air pollution, nutrition-data, automated microscopy, traffic collision data and malaria distribution prediction. A variety of machine learning methods have been applied (for example Gaussian Process models for the model of malaria distribution). More details about some of these projects can be found at the Artificial Intelligence in the Developing World (AI-DEV) group’s website.

Michael Famoroti (Stears)

Michael Famoroti is the current Editor-in-Chief and Head of Research at Stears. He worked as Chief Economist at Vetiva Capital Management Limited, Nigeria for two years, focused on providing economic forecasts and strategy advice to an internal asset management team with assets under management of N5 billion, as well as a range of clients that constitute 60% of the market capitalization of the Nigerian Stock Exchange. In his final year at Vetiva, Michael was appointed as the firm’s Retreat Chair and Strategy Coordinator (2018). Michael is a prolific economic commentator, frequently featuring on domestic and international media platforms including CNBC Africa, Channels TV, and Lagos Talks Radio. His writing has been published in The Brookings Institute, Capital Markets in Africa, and BusinessDay Nigeria, and he has edited two economic books, “Pathways to Shared Prosperity in Nigeria” (2016) and “The Art of Central Banking in Nigeria”, (2016) both authored by Dr Temitope Oshikoya, one of Nigeria’s leading economists. Attained a BSc (2013) and MSc (2014) in Economics from the London School of Economics. Three-time member of the Executive Committee of the LSE African Caribbean Society (2010-2013), including a stint as Vice President in 2012.

Praneeth Vepakomma (MIT)
Ramesh Raskar (MIT)
Debjani Bhowmick (Mila Quebec AI Institute)
Chukwunonso H Nwokoye (Nnamdi Azikiwe Univeristy, Awka)
Alejandro Noriega Campero (MIT)
Hope Mbelwa (The Nelson Mandela African Institution of Science and Technology)
Anusua Trivedi (Microsoft)

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