AKINRINWA SADURA PRISCILLA
Profile
Fullname:
AKINRINWA SADURA PRISCILLA
Post:
Lecturer II
Email Address:
spakinrinwa[at]futa.edu.ng
Telephone:
+2348036341134
Nationality:
NIGERIA
Affiliation:
Federal University of Technology, Akure
Education:
BTech 2008, FUTA - Computer Science
Mtech 2016, FUTA - Computer Science(Research - Scheduling)
PhD 2021, FUTA - Computer Science (Research - Deep Learning)
Background:
Dr. Sadura Akinrinwa is an Lecturer and Researcher at the Department of Information Systems, Federal University of Technology, Akure, Nigeria, with over a decade of experience in the field of Computer Science and Information Technology. Her journey into the world of computer science began at an early age, driven by an unwavering fascination that later evolved into a lifelong passion for computing. Linkedln Github
Dr. Akinrinwa pursued her passion at the university, earning a Bachelor of Technology degree in Computer Science, followed by a Masters of Technology degree and a Doctor of Philosophy in Computer Science. Her doctoral research, titled "Deep Learning for Classification of Breast Histopathology Images," delved into the application of Deep Convolutional Neural Networks for the classification of Hematoxylin & Eosin (H&E) stained breast histopathology images. In her continuous pursuit of knowledge and excellence, Dr. Akinrinwa completed the Udacity Data Analyst Nanodegree program, honing her skills in Data Collection, Web Scraping, Data Wrangling, Data Exploration, Explanation, Visualization, and Presentation. Proficient in Python, SQL, Microsoft Excel, PowerBI, Tableau, and GIT/GitHub, she possesses a keen ability for data wrangling, exploration, storytelling, and dashboard creation. Demonstrating a remarkable ability to create inclusive and collaborative learning environments, Dr. Akinrinwa is deeply committed to fostering an atmosphere that embraces diversity, equity, and accessibility. Her efforts are jeered at ensuring that her students receive the most relevant and up-to-date knowledge and skills. Beyond her technical prowess, Dr. Akinrinwa actively engages in research activities, consistently striving for innovation and advancement within the realm of Computer Science. Her dedication not only strengthens her own career but also enables her to serve as a mentor, particularly inspiring and guiding female students to explore and excel in the field of computing. Her multifaceted expertise and unwavering commitment make her a valuable asset to the world of academia and computer science.
Click to view her LinkedIn and Github profiles Linkedln Github
Dr. Akinrinwa pursued her passion at the university, earning a Bachelor of Technology degree in Computer Science, followed by a Masters of Technology degree and a Doctor of Philosophy in Computer Science. Her doctoral research, titled "Deep Learning for Classification of Breast Histopathology Images," delved into the application of Deep Convolutional Neural Networks for the classification of Hematoxylin & Eosin (H&E) stained breast histopathology images. In her continuous pursuit of knowledge and excellence, Dr. Akinrinwa completed the Udacity Data Analyst Nanodegree program, honing her skills in Data Collection, Web Scraping, Data Wrangling, Data Exploration, Explanation, Visualization, and Presentation. Proficient in Python, SQL, Microsoft Excel, PowerBI, Tableau, and GIT/GitHub, she possesses a keen ability for data wrangling, exploration, storytelling, and dashboard creation. Demonstrating a remarkable ability to create inclusive and collaborative learning environments, Dr. Akinrinwa is deeply committed to fostering an atmosphere that embraces diversity, equity, and accessibility. Her efforts are jeered at ensuring that her students receive the most relevant and up-to-date knowledge and skills. Beyond her technical prowess, Dr. Akinrinwa actively engages in research activities, consistently striving for innovation and advancement within the realm of Computer Science. Her dedication not only strengthens her own career but also enables her to serve as a mentor, particularly inspiring and guiding female students to explore and excel in the field of computing. Her multifaceted expertise and unwavering commitment make her a valuable asset to the world of academia and computer science.
Click to view her LinkedIn and Github profiles Linkedln Github
