Centre for Computational Science Ltd/Gte
C2Snet is a centre for multidisciplinary research where computing power is channeled towards solving various developmental problems confronting humanities.
About Us
C2Snet is a centre for multidisciplinary research where computing power is channeled towards solving various developmental problems confronting humanities. Researchers from different backgrounds like Physics, Chemistry, Biology, Biochemistry, Microbiology, Agriculture, Medicine, Mathematics and Computer Science will collaborate on research that will foster development and propel us in actualising the UN SDG goals.
Computational research has become the way to go in modern-day research and it has gradually permeated various domains of research from humanity to social sciences as well as sciences and Engineering. However, the level of awareness and involvement as far as Computational research is concerned in this part of the World is very low. Most researchers are still dogmatically attached to the old and conventional ways of research while totally ignoring the enormous potentials in data driven research and Computational power.
Various research breakthroughs have been recorded using Artificial Intelligence through Machine Learning approaches to address societal problems in the last few years. More so, the level of awareness at secondary (college) school level is nothing to write home about. It is in the view of the highlighted challenges that a Centre for Computational Science Network (C2SN) was conceived to bridge the gap identified above through awareness campaigns, training, collaborative and cross-border research and networking..
MATERIAL MODELLING AND SIMULATION
- Mechanical, chemical, electronic, optical, biological, or biomedical properties of diverse materials.
- Molecular dynamics approach to material simulation as well as ab initio computation.
- Computational material modeling and High throughput simulation.
- Online platforms and data-driven tools for material simulation.
DATA SCIENCE AND MACHINE LEARNING
- Application of data science techniques.
- Machine learning.
- Internet of all things.
- Deep learning.
BIOINFORMATICS AND QUANTITATIVE SCIENCE
- Computational Biology.
- Synthetic Biology.
- Genomic, Proteomic, Metabolomic, mapping, sequencing visualization.
- Discovery of data set and data mining.
Team Members
Some of C2SNet dynamic team members...
Akinola Samson Olayinka (PhD)
Professor of Computational & Applied Physics & Dean, Faculty of Science | Pioneer Director Quality Assurance, Edo State University Uzairue
- solayinkaa@gmail.com
- akinola.olayinka@c2snet.org
+234-8062447411. - Scopus Author ID: 34933124100
- ResearcherID
- ORCID
- Google Scholar
Charles Oluwaseun Adetunji (PhD)
Prof of Biotechnology & Microbiology, Edo State University Uzairue.
- adetunjicharles@gmail.com
- +234-8039120079
- Scopus Author ID: 34933124100
- Research Gate
- ORCID
- Google Scholar
Progress Bars
Statistics of present and past projects area of concentration. This list is frequently updated, so visit the details page for more information.
Computational Physics
Machine Learning and Artificial Intelligence
Data Science and Analytics:
IoT Applications
Educational Technology
Materials Science and Engineering
Contact US
We are passionate about what we do at C2Snet, which is why we would love to get your feedbacks and suggestions. If you also wish to collaborate with us on any project level, do feel free to leave a comment and we will get back to you in the shortest possible time.
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