Symposium Topics
The First East African Community Symposium on Research in Science, Technology and Innovative Studies
(EASYRIS-23) is the forum for the discussion and presentation of adequate strategies on how to promote research, in order to achieve sustainable development for EAC region.
In addition, EASYRIS is also a platform to discuss and present cutting-edge topics in scientific research using theoretical and experimental results. The symposium will bring together leading researchers, engineers and scientists in the domain of interest from around the world.
Topics of interest for submission include, but are not limited to
Applied Sciences
Zoology
Microbiology
Applied Mathematics
Environmental sustainability Sciences
Architectural Science
Electronics Science
Biology
Applied Chemistry
botany
Communication Studies
Science and Mechanics
Fashion Design
Hospitality & Tourism
Public Health
Meteo & Environment Sciences
Management
Human Resource Management
Supply Chain Management
Organization studies
International Business
Innovative Management Practices
Information Technology
E-business
Strategy Marketing
Marketing Management
Operations Management
EnterPrise Planning
Digital Marketing
Banking Operations & Research
Contemporary Business
Entrepreneurship
General Management
Engineering Track 1
Compiler Optimization Techniques
Robotic Surgery
bio Informatics
Programming Languages
CAD – CAM
Anti-Retroviral Treatment for AIDS
Non-Invasive Laser
Advanced Operating Systems
Animation and Artifical Intelligence
Cloud Computing
Applications in the Medical field
DNA Testing and Sequencing
Reconfigurable Computing
Data & Information Management
Computer Networks
Engineering Track 2
Data Structures
Network Architecture and Design
Data Mining Techniques
Advanced Databases
Human Genome Mapping
Bio-Inspired Computing
Network and Information Security
Desing and Management of CN
Information Retrieval Techniques
Energy-Aware Computing
Information Storage Management
Data Encryption
Software Architectures
Data Visualization Techniques
Big Data