|
 |
| Oluwafemi A. Sarumi |
|---|
| The Federal University of Technology, Akure, Nigeria. , |
| Regular Member |
| Personal Web Site: |
| Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1525 |
| Short Biography |
Dr. Oluwafemi A. Sarumi received his Ph.D. in Computer Science with specialisation in Data Science and Bioinformatics. He is currently a faculty member at the Department of Computer Science, the Federal University of Technology–Akure (FUTA), Nigeria. He was awarded the prestigious Association of Commonwealth Universities (ACU) fellowship for a research visit to the University of Manitoba, Canada in 2018. He received the University award among others for the best graduating student in Computer Science when he obtained his first degree in 2007 at FUTA. He has served as the program committee member for many international conferences such as INCoS 2019, IEEE Smart-Data 2018, DaWaK 2018, INCoS 2018, ISE-HPCS 2017 and, DaWaK 2016. Also, he has several publications in reputable peer-reviewed journals and has served as reviewers for several peer- reviewed journals. His overarching research interest in the area of data science with the underpinnings of mathematics and statistics. Specifically, his research is geared towards developing scalable data mining algorithms and machine learning models to discover actionable insights and novel knowledge from large datasets in real-life application domains such as bioinformatics, epidemiology, biomedicine, and climatology. He is a professional member of IEEE computer society and Association of Computer Machinery (ACM). |
| List of top 5 publications in the last 5 years |
1.Sarumi O.A., and Leung C.K. Exploiting Anti-Monotonic Constraint for Mining Palindromic Motifs from Big Genomic Data. In: IEEE International Conference on Big Data (Big Data) 2019, pp. 4864-4873 2.Sarumi O.A., Leung C.K and Adetunmbi A.O. Spark-based Data Analytics of Sequence Motifs in Large Omics Data. Elsevier Procedia Computer Science 2018; 126: 596-605 3. Sarumi O.A., and Leung C.K. Scalable Data Science and Machine Learning Algorithm for Gene Prediction. In: The 7th International Conference on Big Data Applications, 2019. pp. 118-126 4..Sarumi O.A., Adetunmbi A.O., and Adetoye F.A. Discovering Computer Networks Intrusion using Data Analytics and Machine Intelligence. Elsevier Scientific African (SCIAF). Special Issue on Big Data, Analytics and Machine Intelligence for Sustainability 2020 5.F. Jiang, C. K. Leung, O. A. Sarumi and C. Y. Zhang, "Mining sequential patterns from uncertain big DNA in the spark framework," 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen, 2016, pp. 874-88
|
| List of top 5 academic activities during the last 5 years |
1. 12th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2020), Victoria, Canada. 2. 11th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2019), Oita, Japan. 3. 4th IEEE International Conference on Smart Data. (SmartData-2018), Halifax, Canada. 4. 20th International Conference on Big Data Analytics and Knowledge Discovery. (DaWaK 2018), Regensburg, Germany 5. Guest Editor, Special Issue on Big Data, Analytics and Machine Intelligence for Sustainability 2020, Elsevier Scientific African |