Victor Adewale Adewopo

Adewopo Victor is a Graduate Research Assistant at the School of Information Technology, University of Cincinnati.
My area of research is focused on Action Recognition (AR), mainly on activity detection and incident prediction based on video streams. My goal is to deliver data-driven innovative solutions for eradicating infant mortality and mitigating diverse health risks by implementing cutting-edge research in machine learning, data visualization, and computer vision.
 

Bachelor of Science (BSc): Lead-City University Nigeria, Oyo state, 2019 (Computer Science)

Associate Degree : Lagos university Teaching Hospital Nigeria, Lagos state, 2017 (Health Informatics)

Master of Science (MSc): University of Cincinnati United States, Ohio, 2021 (Information Technology)

In the era of robotics, tasks such as digital signal processing and video surveillance can take advantage of the information in live feeds. Intelligent systems modeling has become a mainstay in several areas and enhanced by the emergence of Artificial Intelligence (AI). I have a research interest in Action Recognition and the application of Machine learning & Artificial Intelligence

2019 -2020 Teaching Assistant, Assisted faculty members in mentoring and grading 200+ students including weekly quizzes. Worked as a Teaching assistant for eight courses related to Implications of I.T, Cybersecurity, Ent App Development, & Network Security for two semesters and also helped in improving student learning outcomes. , University of Cincinnati, United States, Ohio

2020 -To Present Research Assistant, Researching and developing state of the art techniques in the field of computer vision, deep learning, and ML. Applied various machine learning techniques for activity recognition in untrimmed video by curating domain-specific video dataset for action recognition. , University of Cincinnati, United States, Ohio

2020 -2021 Redcap Database Developer, Develop and maintain the college database, provide advice and assistance to faculty members for best practices in collating and implementing interprofessional education (IPE) among researchers. Incorporated robust data validation, reporting, data extraction, and integration of Redcap features in tracking and gathering daily activities of the students and faculty members., College of Allied Health Sciences, University of Cincinnati, United States, Ohio

2014 -2019 Health Information Officer, Worked as the Assistant Head of Department (Health Information Unit). Developed standard procedures for the protection of information systems against cyber-attacks and coordinated departmental activities., Redeemer’s Health Center, Nigeria, Lagos state

Published Abstracts

Bilal Gonen, & Victor Adewopo (2019. ) Identifying Transaction Patterns on Illegal Darknet Market .[Abstract]THE OHIO JOURNAL OF SCIENCE, 120 ,A-9Co-Author

Peer Reviewed Publications

Adewopo, V., Gonen, B., Varlioglu, S., & Ozer, M (2019. ) Plunge into the Underworld: A Survey on Emergence of Darknet.In 2019 International Conference on Computational Science and Computational Intelligence, , 155-159

Plunge into the Underworld: A Survey on Emergence of Darknet

Adewopo, V., Gonen, B , Adewopo, F. (2020. ) Exploring Open Source Information for Cyber Threat Intelligence .IEEE International Conference on Big Data, ,

Exploring Open Source Information for Cyber Threat Intelligence

Murat Ozer, Said Varlioglu, Bilal Gonen, Victor Adewopo, Nelly Elsayed, Selcuk Zengin (2020. ) Cloud Incident Response: Challenges and Opportunities .The 2020 International Conference on Computational Science and Computational Intelligence, ,

Cloud Incident Response: Challenges and Opportunities

Victor Adewopo, Bilal Gonen (03-2021. ) Sentiment Analysis; Tracking Public Opinion of Cyberthreat in Social Media .Spring Research Conference 2021, ,

Sentiment Analysis; Tracking Public Opinion of Cyberthreat in Social Media

Paper Presentations

Adewopo, V., Gounipa, P., Wangia-Anderson, V., & Crivelli, S. (2020. ) Applying Machine Learning NLP Techniques to Investigate the Semantic Structure of Clinical Notes for Identifying SDOH .United State, Berkeley,CA . Other Institution. Level:National

Investigate the Semantic Structure of Clinical Notes for Identifying SDOH

Adewopo, V. (2015. ) Electronic Health Records, A Panacea To Global Health Care Development In 21st Century. Ilmenau, Germany. Conference. Level:International

Azumah S. W, Adewopo V, Eichie M. (12-12-2019. ) Enhancing Security in Passbolt Password Manager. UC. Level:Department

Enhancing Security in Passbolt Password Manager

Symposium

Adewopo, V., & Bilal, G. (2020. ) Scraping the Deep Web: A 3-Dimensional Framework for Cyber-Threat Intelligence. 2020. Conference. Level:University

IT EXPO 2020

Victor Adewopo, Bilal Gonen, Sylvia Azumah Nelly Elsayed (04-2021. ) Deep Learning Algorithm For Predicting Vulnerability Exposures in Online Social Media .https://itexpo.live/research/37. UC. Level:Department

Deep Learning Algorithm For Predicting Vulnerability Exposures in Online Social Media

2020 The Generation Google Scholarship (2020) I was awarded a grant for my impact on diversity, evolving research, and competency in computer science. Google Status:Recipient Level:International Type:Grant

2019 Honor List I was awarded the second-best graduating student in the computer science department honor’s list. Lead city university Status:Recipient Level:University Type:Recognition

05-05-2020 -08-15-2020 Fellowship- Data Science I was awarded a fellowship at University of California, Lawrence Berkeley National Laboratory LBNL. Conceptualized and developed framework for predicting health outcome in time series clinical data. Performed feature selection, classification, clustering, and time series analysis to develop a predictive model with MIT MIMIC III data in tagging patients with SDOH risk factors using ICD-9 codes. Status:Recipient Level:National Type:Fellowship