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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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2020 : DAMS: Meta-estimation of private sketch data structures for differentially private contact tracing »
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2021 : Panel Session »
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2019 : Poster Session »
Pravish Sainath · Mohamed Akrout · Charles Delahunt · Nathan Kutz · Guangyu Robert Yang · Joseph Marino · L F Abbott · Nicolas Vecoven · Damien Ernst · andrew warrington · Michael Kagan · Kyunghyun Cho · Kameron Harris · Leopold Grinberg · John J. Hopfield · Dmitry Krotov · Taliah Muhammad · Erick Cobos · Edgar Walker · Jacob Reimer · Andreas Tolias · Alexander Ecker · Janaki Sheth · Yu Zhang · Maciej Wołczyk · Jacek Tabor · Szymon Maszke · Roman Pogodin · Dane Corneil · Wulfram Gerstner · Baihan Lin · Guillermo Cecchi · Jenna M Reinen · Irina Rish · Guillaume Bellec · Darjan Salaj · Anand Subramoney · Wolfgang Maass · Yueqi Wang · Ari Pakman · Jin Hyung Lee · Liam Paninski · Bryan Tripp · Colin Graber · Alex Schwing · Luke Prince · Gabriel Ocker · Michael Buice · Benjamin Lansdell · Konrad Kording · Jack Lindsey · Terrence Sejnowski · Matthew Farrell · Eric Shea-Brown · Nicolas Farrugia · Victor Nepveu · Jiwoong Im · Kristin Branson · Brian Hu · Ramakrishnan Iyer · Stefan Mihalas · Sneha Aenugu · Hananel Hazan · Sihui Dai · Tan Nguyen · Doris Tsao · Richard Baraniuk · Anima Anandkumar · Hidenori Tanaka · Aran Nayebi · Stephen Baccus · Surya Ganguli · Dean Pospisil · Eilif Muller · Jeffrey S Cheng · Gaël Varoquaux · Kamalaker Dadi · Dimitrios C Gklezakos · Rajesh PN Rao · Anand Louis · Christos Papadimitriou · Santosh Vempala · Naganand Yadati · Daniel Zdeblick · Daniela M Witten · Nicholas Roberts · Vinay Prabhu · Pierre Bellec · Poornima Ramesh · Jakob H Macke · Santiago Cadena · Guillaume Bellec · Franz Scherr · Owen Marschall · Robert Kim · Hannes Rapp · Marcio Fonseca · Oliver Armitage · Jiwoong Im · Thomas Hardcastle · Abhishek Sharma · Wyeth Bair · Adrian Valente · Shane Shang · Merav Stern · Rutuja Patil · Peter Wang · Sruthi Gorantla · Peter Stratton · Tristan Edwards · Jialin Lu · Martin Ester · Yurii Vlasov · Siavash Golkar -
2019 : Break / Poster Session 1 »
Antonia Marcu · Yao-Yuan Yang · Pascale Gourdeau · Chen Zhu · Thodoris Lykouris · Jianfeng Chi · Mark Kozdoba · Arjun Nitin Bhagoji · Xiaoxia Wu · Jay Nandy · Michael T Smith · Bingyang Wen · Yuege Xie · Konstantinos Pitas · Suprosanna Shit · Maksym Andriushchenko · Dingli Yu · Gaël Letarte · Misha Khodak · Hussein Mozannar · Chara Podimata · James Foulds · Yizhen Wang · Huishuai Zhang · Ondrej Kuzelka · Alexander Levine · Nan Lu · Zakaria Mhammedi · Paul Viallard · Diana Cai · Lovedeep Gondara · James Lucas · Yasaman Mahdaviyeh · Aristide Baratin · Rishi Bommasani · Alessandro Barp · Andrew Ilyas · Kaiwen Wu · Jens Behrmann · Omar Rivasplata · Amir Nazemi · Aditi Raghunathan · Will Stephenson · Sahil Singla · Akhil Gupta · YooJung Choi · Yannic Kilcher · Clare Lyle · Edoardo Manino · Andrew Bennett · Zhi Xu · Niladri Chatterji · Emre Barut · Flavien Prost · Rodrigo Toro Icarte · Arno Blaas · Chulhee Yun · Sahin Lale · YiDing Jiang · Tharun Kumar Reddy Medini · Ashkan Rezaei · Alexander Meinke · Stephen Mell · Gary Kazantsev · Shivam Garg · Aradhana Sinha · Vishnu Lokhande · Geovani Rizk · Han Zhao · Aditya Kumar Akash · Jikai Hou · Ali Ghodsi · Matthias Hein · Tyler Sypherd · Yichen Yang · Anastasia Pentina · Pierre Gillot · Antoine Ledent · Guy Gur-Ari · Noah MacAulay · Tianzong Zhang -
2019 : Coffee Break + Poster Session I »
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2019 : Poster Session »
Gergely Flamich · Shashanka Ubaru · Charles Zheng · Josip Djolonga · Kristoffer Wickstrøm · Diego Granziol · Konstantinos Pitas · Jun Li · Robert Williamson · Sangwoong Yoon · Kwot Sin Lee · Julian Zilly · Linda Petrini · Ian Fischer · Zhe Dong · Alexander Alemi · Bao-Ngoc Nguyen · Rob Brekelmans · Tailin Wu · Aditya Mahajan · Alexander Li · Kirankumar Shiragur · Yair Carmon · Linara Adilova · SHIYU LIU · Bang An · Sanjeeb Dash · Oktay Gunluk · Arya Mazumdar · Mehul Motani · Julia Rosenzweig · Michael Kamp · Marton Havasi · Leighton P Barnes · Zhengqing Zhou · Yi Hao · Dylan Foster · Yuval Benjamini · Nati Srebro · Michael Tschannen · Paul Rubenstein · Sylvain Gelly · John Duchi · Aaron Sidford · Robin Ru · Stefan Zohren · Murtaza Dalal · Michael A Osborne · Stephen J Roberts · Moses Charikar · Jayakumar Subramanian · Xiaodi Fan · Max Schwarzer · Nicholas Roberts · Simon Lacoste-Julien · Vinay Prabhu · Aram Galstyan · Greg Ver Steeg · Lalitha Sankar · Yung-Kyun Noh · Gautam Dasarathy · Frank Park · Ngai-Man (Man) Cheung · Ngoc-Trung Tran · Linxiao Yang · Ben Poole · Andrea Censi · Tristan Sylvain · R Devon Hjelm · Bangjie Liu · Jose Gallego-Posada · Tyler Sypherd · Kai Yang · Jan Nikolas Morshuis -
2019 : Poster Session »
Nathalie Baracaldo · Seth Neel · Tuyen Le · Dan Philps · Suheng Tao · Sotirios Chatzis · Toyo Suzumura · Wei Wang · WENHANG BAO · Solon Barocas · Manish Raghavan · Samuel Maina · Reginald Bryant · Kush Varshney · Skyler D. Speakman · Navdeep Gill · Nicholas Schmidt · Kevin Compher · Naveen Sundar Govindarajulu · Vivek Sharma · Praneeth Vepakomma · Tristan Swedish · Jayashree Kalpathy-Cramer · Ramesh Raskar · Shihao Zheng · Mykola Pechenizkiy · Marco Schreyer · Li Ling · Chirag Nagpal · Robert Tillman · Manuela Veloso · Hanjie Chen · Xintong Wang · Michael Wellman · Matthew van Adelsberg · Ben Wood · Hans Buehler · Mahmoud Mahfouz · Antonios Alexos · Megan Shearer · Antigoni Polychroniadou · Lucia Larise Stavarache · Dmitry Efimov · Johnston P Hall · Yukun Zhang · Emily Diana · Sumitra Ganesh · Vineeth Ravi · · Swetasudha Panda · Xavier Renard · Matthew Jagielski · Yonadav Shavit · Joshua Williams · Haoran Wei · Shuang (Sophie) Zhai · Xinyi Li · Hongda Shen · Daiki Matsunaga · Jaesik Choi · Alexis Laignelet · Batuhan Guler · Jacobo Roa Vicens · Ajit Desai · Jonathan Aigrain · Robert Samoilescu -
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2019 : Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India »
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2019 Poster: Multi-task Learning for Aggregated Data using Gaussian Processes »
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2018 : Poster session: Contributed papers »
Michael Cvitkovic · Arijit Patra · Yunpeng Li · RAHMAN BANYA SAFF SANYA · Guanghua Chi · Benjamin Huynh · Hamed Alemohammad · Simón Ramírez Amaya · Nazmus Saquib · Jade Abbott · Teo de Campos · Viraj Prabhu · Alvaro Riascos · Hafte Abera · praney dubey · Tanushyam Chattopadhyay · Hsiang Hsu · Mayank Jain · Kartikeya Bhardwaj · Gabriel Cadamuro · Bradley Gram-Hansen · Georg Dorffner -
2018 : Poster session »
Ralf Mayet · Paulo Orenstein · Heloise Greeff · Tomasz Rutkowski · Jiafan Yu · Milena Marin · Peter He · Jigar Doshi · Xavier Boix · Thomas Janssoone · Aniket Kesari · Yunyi Li · Arbel Vigodny · Ellie Gordon · Zach Moshe · Sella Nevo · Harvey Wu · Jessica Lee · Noel Corriveau · Vincenzo Lomonaco · Yada Pruksachatkun · Naroa Zurutuza · Bhairav Mehta · Carolyne Pelletier · Yasmeen Hitti · Sophia Latessa · Gerard Glowacki · Alexis G Gkantiragas · Oliver Nina · Íñigo Martínez de Rituerto de Troya · Vedran Sekara · Michael Madaio · Eunbee Jang · Ines Moreno · Arnon Houri-Yafin · Claire Babirye