GSEP

The fully funded GSEP scientific fellowships are aimed at Master’s level students who wish to gain research experience in a subject of their interest at a Berlin university. The experience is intended to increase chances of applying successfully to a doctoral program in the Global North and to provide fellows with hands-on research experience in an interdisciplinary environment.

In collaboration with the African Institute for Mathematical Sciences (AIMS), five candidates were selected for the pilot phase. During their stay at SCIoI, these young researchers will work on a project in their respective labs and attend relevant lectures and symposia at SCIoI and partner institutions as well as cultural and social activities.

Meet our GSEP researchers:

Courtesy of Emmanuel Owusu Ahenkan

Emmanuel Owusu Ahenkan
(Prof. Klaus Obermayer)

A graduate of Kwame Nkrumah University of Science and Technology in Ghana, Emmanuel Owusu Ahenkan holds a BSc degree in Applied Mathematics with First Class honor and a Master’s degree in Mathematical Sciences with Distinction from the African Institute for Mathematical Sciences (AIMS-Rwanda). After that, he also obtained a Master’s degree in Machine Intelligence at the African Master’s in Machine Intelligence (AIMS/AMMI) in Ghana.

Emmanuel’s research interest is in Computer Vision. He has done research in Medical Imaging, classification of diseases in plants and animals, and detection of human movements. He loves teaching, mentoring students, and reading scientific papers, and his aim is to become a great researcher and scientist in the field of Artificial Intelligence (AI).

At SCIOI, Emmanuel hopes to learn and collaborate with great researchers in AI in order to be well prepared for PhD opportunities in order to later achieve his goal in life. His research will be focusing on end-to-end learning of human exploration behavior. The project aims to explore whether one can predict the viewing behavior of human subjects on natural videos with end-to-end learning on suitable neural network architectures (e.g., Recurrent Independent Mechanisms, which is a variant of LSTMs).
Courtesy of Arinze Lawrence Folarin

Arinze Lawrence Folarin
(Profs. Oliver Brock & Marc Toussaint)

Arinze Lawrence Folarin was born in Nigeria. He has an undergraduate degree (first-class honours) in Mathematics from the University of Ibadan and a Master’s degree in Mathematical Sciences (Distinction) from the University of Stellenbosch / African Institute for Mathematical Sciences in South Africa, where he also learned about Reinforcement Learning. During his Master’s program, he focused on analyzing central reinforcement learning algorithms for malaria control, and he is now more interested in using reinforcement learning in robotics and policy-making.

His ambition is to become a world-class professor in the field of reinforcement learning and robotics in order to work with other researchers to solve problems that affect Africa and the rest of the world.

His belief is that, by the end of the research internship, his research skills will have improved exponentially, qualifying him for a PhD position. He is also convinced that his improved personal development resulting from this experience will allow him to pursue many job opportunities in the future.

Photo by Tayla Jeffs on Unsplash

Elijah Koech Kiprono
(Prof. Olaf Hellwich)

XXXXXXX XXXXXX

Photo by Yasmin Hankel

Juliana T.C. Marcos
(Prof. Guillermo Gallego)

Juliana T.C. Marcos was born in Cotonou, Benin. She holds MSc degrees in applied Mathematics from AIMS – SU and AIMS – UCT in South Africa. She also has a design engineering degree in telecommunication from EPAC in Benin. She is interested in  artificial intelligence and, more specifically, computer vision, machine learning, and robotics. During her spare time, Juliana had the chance to participate in tutoring activities and the organization of mentoring events. She wants to dedicate her future career to research, and aims to continue her studies with a PhD.
 
Juliana expects that the GSEP programme will help her to achieve her dream career as a researcher. Indeed, through her GSEP research fellowship in the lab of Computer Vision and Robotics, she will acquire valuable knowledge in the growing field of event-based vision. She hopes to contribute to the development of this field through her research project, and to grow her professional network and learn more about German culture. Finally, she expects to increase her chances of getting a PhD position in Germany (or other parts of the world) thanks to soft-skills courses.

At SCIoI, Juliana is affiliated with the lab of Computer Vision and Robotics of Prof. Dr Guillermo Gallego. She will work on detecting and tracking objects for space situational awareness using event-based cameras. The focus of her project is to understand the operation of event-based cameras (specifically their noise characteristics) as well as to design efficient methods for the detection and tracking of small objects in data produced by an event-based camera, such as the Event-based Space Situational Awareness (EBSSA) dataset.

Courtesy of Tatiana Moteu

Tatiana Ngoli Moteu
(Prof. Alan Akbik)

Tatiana Ngoli Moteu is a young and passionate learner from Cameroon with a background in computer science with a focus on software engineering, and an interest in natural language processing. She holds two bachelor’s degrees from the University of Ngaoundere, Cameroon; one in Architecture and Networks and another one in Software Engineering. After receiving those, she obtained a Master’s degree Information Systems and Software Engineering from the University of Yaounde I, Cameroon.
Later, She got selected and completed a one-year intensive Master’s in Machine Learning under the African Master for Machine Intelligence program (AMMI Ghana) sponsored by Facebook and Google. While interested in manipulating text, she completed her Master’s project in Natural Language Processing, especially in co-reference resolution.
While at SCIoI, Tatiana will be working in the laboratory of Prof. Alan Akbik, working on the topic of data augmentation for NLP. During her research she will be focusing on the English Name Entity Recognition (NER) dataset. She believes that participating in this program is an excellent opportunity, which that will allow her to interact and exchange with diverse people from different backgrounds, to gain more experience and knowledge in the research domain, and in the end get a PhD position that will help her pursue her career goal. She also expects to explore and learn more about Germany, its culture, and traditions.

User registration

You don't have permission to register

Reset Password