has a Ph.D. from the University of Maryland Baltimore County in Information Systems based in data mining and artificial intelligence applied to financial data. He also holds an M.S. is in Information Systems from UMBC, an M.B.A. from the Pennsylvania State University, and a B.S.in Information Systems from York College of PA.

Emmanuel Joshua Balogun, an ambitious graduate student at Georgia Southern University, majoring in information technology, building on a Bachelor’s in Business Administration and Management. Currently employed as a Graduate Assistant in the International Admission and Programs Office, administrative skills and a global perspective are brought together. Research interests revolve around the intersection of computer vision and machine learning engineering. Actively engaged in enhancing machine learning skills through Google Cloud training, a research project focuses on using machine learning for image classification in counterfeit note detection. This work aligns with a broader interest in employing technological solutions for practical small business challenges. Technically proficient in Python, SQL, SPSS, and Rapid Miner.

Daniel holds a Bachelor’s degree in Mechanical Engineering from Covenant University, Ota and is currently pursuing his Masters in Information Technology at Georgia Southern University. His current interests are improving Development processes through DevOps practices, utilizing the cloud, containerization and several other underlying technologies. Having a high interest in cloud computing, he has been certified as an Azure Cloud Solutions Architect and Azure DevOps Expert. Working with several enterprises using the Microsoft domain, he has experience with managing User identities, mailboxes and storage through Active Directory (AD), Exchange Online and OneDrive/Sharepoint. He intends to focus his research in the use of Kubernetes and the complementing technologies, such as Jenkins, Terraform, Ansible, Chef, Puppet, e.t.c to optimize software development and deployment.

Oluwaseyi Ademola Ijogun is a graduate student of Information Technology at Georgia Southern University and employed as a Graduate Assistant. He holds a bachelor’s degree in Materials Engineering. He was a Chevron Scholar at his home country and started his I.T career as a web and Mobile developer. He has over 5years experience in Auditing, Banking, and Engineering and has worked as an I.T and financial expert. He has worked with several large organizations such as U.K AID, KPMG, and Zenith Bank a top bank in Nigeria. He is currently a member of the INFORMS and volunteers for Pro Bono Analytics providing Data Science services to Nonprofit Organizations (NPO). His research interest is on Big data Technology using Hadoop and Spark, Machine Learning, ETL Pipeline design, Data Science, Data Visualization, and Artificial Intelligence. Part of His notable contribution is predicting and improving Credit Risk Management in finance where he utilized machine learning to predict Loan Default in the Banking Industry. He is proficient in HTML, CSS, JavaScript, SQL, Python, IBM SPSS, Rapid Miner, Hadoop, Apache Spark, Tableau, Power BI, and Machine Learning Algorithms.

Oladapo Richard-Ojo is a graduate student of Information Technology at Georgia Southern University and works as a Graduate Assistant for the IT department. He holds a bachelor’s degree in Industrial chemistry from the prestigious Bowen University. He has over 11years experience in leveraging data-driven insights to drive business growth and enhance decision-making. Adept at transforming complex data sets into actionable strategies. He possesses strong leadership and mentoring skills and consistently works to the highest professional standards and thrives when working alone or as part of a team to deliver projects that yields multiple business values, reduced costs, revenue uplift, improved efficiencies, support organizational goals and maximize the technology investment. He has worked on data projects across the following industries: Banking, Insurance, FinTech/Payment, Technology & Infrastructure, Government & Public Sector. Some of his notable contributions in the data science domain include S&P 500 stock price prediction using Reddit sentiments and sentiment analysis of movie reviews using LSTM. His research project involves utilizing cloud technology specifically AWS to first convert speech to text using AWS Comprehend and then using AWS Bedrock to implement a retrieval augmented generator (RAG) that retrieves data from outside a language model and augments user prompts by adding the relevant retrieved data in context. He is proficient in HTML, SQL, Python, IBM SPSS, Rapid Miner, Hadoop, Apache Spark, Tableau, Power BI, and Machine Learning Algorithms.

Tomi Ebun Arokodare is an Information Technology graduate student at Georgia Southern University.She holds a bachelor’s in Economics and she is a chartered Accountant.She works as a Finance Graduate Assistant for the University Finance services. Her research interest include :Data Analytics,Data Science,Machine Learning and IT project Management .She is currently working on Big data approach for IoTBotnet traffic detection using Apache Spark technology. She is proficient in Python,Tableau,Power BI ,SQL,Hadoop,RapidMiner,SPSS,SAP and Apache Spark.

Qozeem Odeniran, currently a graduate student in the Department of Information Technology at Georgia Southern University, has a background in Computer Science from his undergraduate studies. His coursework included challenging subjects such as Data Structures and Algorithms, Operating Systems, Object-Oriented Programming, and Software Engineering. Before venturing into his graduate degree in Information Technology, Qozeem accumulated over two years of professional experience as a Software Engineer in his home country. In this role, he was entrusted with responsibilities spanning backend and frontend engineering, software debugging, and website revamping. As a Graduate Assistant in the IT department, Qozeem provides both technical and non-technical support, contributing to research areas such as Facial Expression Analysis and the Impact of product reviewers on product recommendation. Additionally, he plays a vital role in recording students' grades in the grading system. Qozeem's pursuit of a graduate degree encompasses diverse IT aspects, including Data Science and Analytics, IT Project Management, and other core areas within the IT domain. Currently working on his master's degree requirements, Qozeem is engaged in a comprehensive research project comparing two popular JavaScript frontend frameworks, React.js and Angular.js. This research aims to assist developers in choosing the most suitable framework for their projects. Qozeem is actively involved in the development of similar applications in both frameworks and explores various benchmark performance measuring tools to gather data for analysis. In his final thesis, Qozeem delves into three critical aspects: Frontend (React.js vs. Angular.js), Backend (PHP vs. Node.js), and Database (SQL vs. NoSQL - MongoDB). This multifaceted thesis demonstrates his expertise in evaluating and comparing key components of web development. Qozeem has garnered recognition for his academic excellence, being named the Outstanding Research Graduate Student in 2023 and receiving the Allen E. Paulson Scholar award in 2022 from Georgia Southern University's IT department and the GSU College of Engineering and Computing. Beyond academia, Qozeem has made substantial contributions to the daclab.net website, playing a pivotal role in its revamping and continuous updates. His dedication to this project showcases his commitment to the dissemination of graduate students' research works and future interests. In the realm of research, Qozeem has significantly contributed to the Facial Expression Analysis project. His role involves implementing Python scripts and utilizing the py-feat library to process participants' videos. He meticulously exports the processed data into CSV files, demonstrating his skills in data manipulation. Furthermore, Qozeem plays a vital role in reformatting and cleaning the substantial amount of data acquired, making it suitable for in-depth analysis. Qozeem's academic achievements, research contributions, and hands-on experience reflect his commitment to advancing technology and making meaningful contributions to the field of Information Technology.

Chiazam holds a Bachelor’s degree in Chemical Engineering from Covenant University, Nigeria, and is pursuing his Master's in Informa@on Technology at Georgia Southern University. Chiazam pursuit of a graduate degree encompasses diverse IT aspects, including Data Science and Analytics, IT Project Management, IT governance and other coreareas within the IT domain. He has experience in Auditing, Banking, and Engineering and has worked as an IT and financial expert. He worked with KPMG as an audit intern where he formed part of the financial services audit team that conducted a statutory audit and analytical review of the Nigerian Deposit Insurance Corpora@on (NDIC). He also works as a graduate assistant for the Department of Mul@cultural Affairs, spearheading and running the MOVE ini@a@ve which is Men of Vision and Excellence. His current interests include data science, data analytics and machine learning. He also possesses expertise in data mining and visualiza@on tools: Python, SQL, RStudio, Google Firebase, Power BI, and Tableau.

She holds a bachelor’s degree in computer science and Engineering from Chittagong University of Engineering and Technology. Her current research focus is in Cloud Computing, Machine Learning, Data Analytics and Enterprise Software System Security and Automation. She has experience in building and developing Machine Learning models and pipelines in cloud platforms: Azure ML studio, AWS Sage maker and Google Big Query. She also possesses expertise in data mining and visualization tools: WEKA, Orange, SPSS, Rapid Miner, RStudio, Google Firebase, Power BI, and Tableau.

Tasnim Akter Onisha is a graduate student pursuing her Master of Science in Information Technology and working as a Graduate Assistant at Georgia Southern University. She holds a Bachelor of Science degree in Computer Science and Engineering from Daffodil International University. With 3.5 years of professional experience in the software industry in Bangladesh, she successfully managed large-scale mobile and web applications, actively contributing to software solution design. Her current research interests include Machine Learning, Artificial Intelligence, Computer Vision, Human Behavioral and Facial Expressions Analysis. She is actively involved in improving facial expression analysis and emotion recognition for Deepfake detection. She is also expanding her skills in various IT aspects, such as Data Science and Analytics, IT Product Management, and other core areas within the IT domain. Her technical proficiency encompasses Python, Java, SQL, RapidMiner, SPSS, Agile, Scrum, statistical analysis. She possesses strong problem-solving and critical thinking abilities. Her passion for innovation and continuous learning drives her to excel in the dynamic landscape of Information Technology.

Ms. Akinola is graduate student specializing in Information Technology, currently employed as a Graduate Assistant in Learning Technology Services. Her passion lies in the realm of data science and data analytics, an area she's actively exploring. Her professional journey has been diverse, including prior experience in agronomy, where she gained valuable insights. She holds certifications in Python and Java, leveraging these languages in various projects. She is enthusiastic about expanding my skill set and exploring new horizons within the vast field of Information Technology.

Ikeoluwa Akanmu is a graduate student at Georgia Southern University majoring in Information Technology and employed as a Graduate Assistant with the International Admission and Programs Office. She has a bachelor’s in Public Administration with certifications in Professional Human Resource International (PHRITM) and Google Data Analytics. Her research interest includes data science and analytics, as well as IT project management. She has worked on a research project, applying machine learning for predictive analysis in employee attrition. Currently, she is working on projects relating to cloud computing and text analytics. She is proficient in Python, SQL, SPSS, Tableau, Rapid miner, Apache Spark, Hadoop, Power BI and SAS.

is a graduate student at Georgia Southern University majoring in Information Technology. His interests are in Data Science & Analytics where he has worked in Python and Big Data Technologies such as Spark. He has experience in Apache Spark, SPSS, Jupyter Notebook, MySQL, Server Management Studio (SSMS), Tableau and SAP. He is also working on data mining, machine learning, and artificial intelligence projects. He chose IT because it is a field where his ambition, innovation and flexibility can be fully realized.

Lorna Kangethe is a Graduate Student at Georgia Southern University majoring in Information Technology with a concentration in Data Science and Analytics . She is also employed as a reporting analyst graduate assistant. Her research interests are centered around Data Science and Analytics in relation to Cyber Security. Before her master’s she worked as a Junior Data Scientist where she demonstrated her Statistical analysis and problem solving and critical thinking skills. She has experience in Python, SQL Server, NoSQL, HTML/CSS, SPSS, Hadoop Big Data Technology, SSIS/SSAS, and Data Visualization tools (Power BI, Tableau, Looker and Superset). She has worked on building a Network Intrusion Detection System using Apache Spark on Hadoop.

is an Information Technology graduate student at Georgia Southern University, she works as a Graduate Assistant for the Director of Field Experiences and Clinical Practices at the College of Education. She has a master’s in public policy and Managementfrom Corvinus University of Budapest. Her research interests include data science, data analytics, artificial intelligence in relation to public policy. She has researched the application of machine learning techniques on predictive analytics specifically through data mining. She has experience in SQL, Python, HTML/CSS, Big Data, Hadoop, Mahout, and is proficient in SPSS.

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