Invited Speakers
ALAGAH KOMLAVI Atsu
Abdou Moumouni University in Niamey
Niger.
ALAGAH KOMLAVI Atsu
Abdou Moumouni University in NiameyNiger.
Biography
Mr. ALAGAH KOMLAVI Atsu received his B.Sc (Bachelor of Science) and
M.Sc (Master of Science) degrees in Mathematics and Computer Science from
Abdou Moumouni University, Niamey, Niger, in 2014 and 2021, respectively. He
also obtained a second Master’s degree in Computer Science (Database
Administration) from the Islamic University in Niger in 2022. He is currently in
the final stage of his PhD studies in Artificial Intelligence and is preparing to
defend his doctoral thesis between January and February 2025. His doctoral
research focuses on an improved CNN architecture for the diagnosis of
agricultural crop diseases to support sustainable development in Niger. He is also
a lecturer at the Higher School of Electronic Communications and Post (ESCEP),
Niamey, Niger. His recent research activities focus on plant disease detection
using image processing techniques. His research interests include Artificial
Intelligence, Machine Learning, Deep Learning, and Image Processing. He has
published three papers in international journals. He can be contacted via email at
alagahdejesus@yahoo.fr.
The topic of his presentation focuses on the application of Artificial
Intelligence in a developing and resource-constrained country such as Niger,
which is severely affected by declining agricultural yields, mainly caused by crop
diseases. He proposes an improved CNN architecture to enable accurate and
reliable diagnosis of agricultural crop diseases, with the aim of supporting
sustainable agricultural development. The title can be “ Improved CNN
Architecture for Agricultural Crop Disease Diagnosis in Niger”.
Speech Title
An improved CNN architecture for the diagnosis of millet crop diseases for sustainable development in Niger.
Celal Alagöz
Sivas University of Science and Technology
Türkiye
Celal Alagöz
Sivas University of Science and TechnologyTürkiye
Biography
Celal Alagöz is an Assistant Professor of Computer Engineering at Sivas University of Science and Technology, Türkiye. He received his Ph.D. in Electrical Engineering from Drexel University, following graduate studies at Johns Hopkins University and undergraduate training at Yıldız Technical University. His research focuses on scalable time series analytics, hierarchical classification, feature-based learning, and edge–cloud intelligent systems. He has published in leading journals including PeerJ Computer Science, Medical & Biological Engineering & Computing, and Computer Methods and Programs in Biomedicine. Dr. Alagöz is the author of Crossfire, a cross-domain feature integration framework for efficient time series classification. He has served as a lecturer at Drexel University and is currently involved in national projects on resource-constrained edge intelligence and data-driven hierarchy generation.
Speech Title
Rethinking Time Series Analytics at Scale: Cross-Domain Feature Integration for Edge–Cloud Pipelines
Ayodele A Periola
University of Johannesburg
South Africa
Ayodele A Periola
University of JohannesburgSouth Africa
Biography
Ayodele A Periola conducts research in the area of computing and communication systems. Furthermore, his research also addresses how data driven systems can be used to improve the design and functionality of renewable energy systems. In this regard, the renewable energy systems incorporate artificial intelligence-based solutions at different interfaces between entities comprising the grid. Ayodele A. Periola also conducts research in the design of power efficient computing systems and platforms that benefit from free cooling. In this regard, his research has identified that data centers in the underwater environment, stratosphere environment, and space are deemed suitable. Furthermore, his research has presented network systems and architectures where these non-terrestrial data centers play a vital role in future communication networks.
He completed his post-doctoral research training in the Department of Electrical and Electronic Engineering Technology at the Faculty of Engineering and Built Environment at the University of Johannesburg. He completed and received his PhD in Electrical Engineering specializing in wireless radio networks from the University of Cape Town, South Africa, MSc in Mobile and Satellite Communications from the University of South Wales and his B.Eng (Hons) in Electrical and Electronics Engineering from the Federal University of Technology, Akure. His research interests are multidisciplinary with focus on how artificial intelligence can be used to realize future intelligent communication networks and systems. In addition, his research focuses on environment friendly and energy efficient computing systems ; and their multi – domain applications. Furthermore, his research also addresses the challenges of designing solutions that enable computing and communication systems to enable the continued conduct of sciences in areas like Astronomy. His research findings have been presented in International Conferences and Journal Articles. Currently, Ayodele A. Periola is Y2 Rated NRF researcher, a full member of the African Astronomical Society and a Senior Member of the IEEE.
Speech Title
Future Role of Non-Terrestrial Data Centers with focus on Stratosphere Data Centers
