Biography:

Proactive and creative researcher with strong mathematical background, statistical skills with visualization & experience in Big Data Analytics, Machine learning and Distributed Computing, Experienced in working independently, Ability to meet deadlines, Teaching experience with students and some intern supervision. Prioritizes collaboration with other scientists to create information that is tested and accurate, but also as useful and detailed as possible. Flexible and willing to learn new technologies.

Professional Life:

I am currently working as a Graduate research and teaching assistant at the University of Nevada,Reno and a proud member at the High Performance & Data Intensive Computing (HPDIC) Laboratory under the supervision of Professor Dongfang Zhao.

I prioritize collaboration with other research scientists to create information that is tested and accurate, but also as useful and detailed as possible. I am flexible and willing to learn new technologies.

• Big Data Analytics
• High Performance Computing
• Machine Learning
• Databases
• Distributed Systems

Education:

•  Ph.D. in Computer Science (In View), University of Nevada, Reno, U.S.A.
•  M.Sc. in Big Data Science and Technology, 2017, University of Bradford, United Kingdom.
•  B.Sc. in Computer Science, 2014, Ekiti State University, Nigeria.

Experience:

• Graduate Research and Teaching Assistant, University of Nevada, Reno, U.S.A.  (Aug 2018 - Present)
• Assistant Lecturer, Department of Computer Science, Ekiti State University, Nigeria.  (Dec 2017 - Present)
• Graduate Assistant, Department of Computer Science, Ekiti State University, Nigeria.  (Dec 2015 – Nov 2017)
• Information Technology Officer and Support, College of Medicine, University of Ibadan, Nigeria.  (Nov 2014 - Nov 2015)
• IT Support and Training Officer, Shell I.C.T Centre, Ekiti State University, Nigeria.  (Aug 2012 - Feb 2013)

Articles in Conference Proceedings:

• Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao, HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis . In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI’20, Oral Presentation). February 2020.

Publications in Learned Journals:

• Jiayao Wang, Olamide Timothy Tawose, Linhua Jiang and Dongfang Zhao. A New Data Fusion Algorithm for Wireless Sensor Networks Inspired by Hesitant Fuzzy Entropy. Sensors. 19(4):1-17,February 2019.
• Quanchun Jiang, Olamide Timothy Tawose, Songwen Pei, Xiaodong Chen, Linhua Jiang, Jiayao Wang, and Dongfang Zhao. Weakly-Supervised Image Semantic Segmentation Based on Superpixel Region Merging. Big Data and Cognitive Computing. 3(2):31, June 2019.
• Jiayao Wang, Olamide Timothy Tawose, Linhua Jiang, and Dongfang Zhao. Toward Automatic Cardiomyocyte Clustering and Counting through Hesitant Fuzzy Sets. Applied Sciences. 9(14):2875,July 2019.

Thesis / Dissertation:

• Tawose, O.T. (2017) Data Quality Assessment of Engineering Time Series Data: Contributions to an Automated Approach. M.Sc. Thesis. University of Bradford, Bradford, United Kingdom. (Dissertation Committee: Professor Daniel Neagu and Dr. Ci. Lei)
• Tawose O.T. (2014) Image Segmentation Techniques in bone structure psychiatry. B.Sc. Thesis. Ekiti State University, Nigeria.   (Supervisors: Mr. Daniel Ekong and Dr. Doyin Ajayi)

Monographs / Technical Reports:

• Tawose, O.T. (2017) A Comprehensive Approach for the Analysis of an Automotive Data in R using Graphical and Statistical methods. Coursework. Statistical Data Analyis-COS7005-B. Faculty of Informatics and Engineering, University of Bradford, United Kingdom.
• Tawose, O.T. (2017) Analysis of the Adult dataset using supervised and unsupervised machine learning techniques. Coursework. Data Mining-COS7028-B. Faculty of Informatics and Engineering, University of Bradford, United Kingdom.
• Tawose, O.T. (2017) Networks for Information Visualization. Coursework. Data Visualization-GAV7021-B. Faculty of Informatics and Engineering, University of Bradford, United Kingdom.
• Tawose, O.T. (2017) A Hybrid Approach for the Analysis and Visualization of a Health-related Dataset. Coursework. Data Visualization-GAV7021-B. Faculty of Informatics and Engineering, University of Bradford, United Kingdom.