Oluomachi Ejiofor | Cybersecurity | Best Paper Award

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Ms. Oluomachi Ejiofor | Cybersecurity | Best Paper Award

Cybersecurity Analyst at Austin peay state University, United States

Ms. Oluomachi Ejiofor is a cybersecurity researcher, academic, and AI specialist with expertise in network security, cryptography, cyber threat intelligence, and financial fraud detection. She holds an M.S. in Computer Science from Austin Peay State University (2023) and a B.S. in Information Science from Abia State University (2013).

Currently, she serves as a Graduate Teaching Fellow at Austin Peay State University, where she instructs and mentors students in computer science and cybersecurity. Previously, she worked as a Graduate Research Assistant and Cyber Analyst, contributing to AI-enhanced security models and data privacy solutions.

Her research focuses on machine learning applications in cybersecurity, AI-driven fraud detection, privacy in wireless sensor networks, and blockchain security. She has authored multiple high-impact publications on fraud detection, financial cybersecurity, and cyber threat analytics, with over 400 citations.

Ms. Ejiofor is an active member of IEEE, the Nigeria Computer Society (NCS), and the International Society of Data Science. She also holds several cybersecurity certifications and has contributed to developing AI-based security frameworks for fraud detection and healthcare data protection.

Publication Profile

Google Scholar

Educational Details

  • M.S. in Computer Science (2023) – Austin Peay State University, Clarksville, TN
    • Advisor: Dr. Joseph Elarde
  • B.S. in Information Science (2013) – Abia State University, Uturu, Nigeria

Professional Experience

Ms. Oluomachi Ejiofor is a Graduate Teaching Fellow at the Department of Computer Science, Austin Peay State University, where she has been instructing and mentoring students since 2023. Previously, she worked as a Graduate Research Assistant (2021–2023) at the same institution, focusing on cybersecurity and AI-driven security models under the supervision of Dr. Joseph Elarde.

Before transitioning into academia, she served as a Cyber Analyst at Austin Peay State University, where she led a team in configuring IT infrastructure, implementing cybersecurity frameworks, and securing institutional data. Prior to that, she worked as a Data Administrator at Steps Tech Company, Nigeria (2018–2021), managing data security protocols, conducting security audits, and implementing encryption technologies to protect critical information.

Research Interest

  • Network Security & Cryptography
  • Malware Analysis & Cyber Threat Intelligence
  • Privacy & Anonymity in IoT
  • Cloud & Blockchain Security
  • AI & Machine Learning in Cybersecurity
  • Human Factors in Cybersecurity

Publications & Research Contributions

Ms. Ejiofor has authored several research papers in high-impact journals, covering areas such as:

  • Cybersecurity and AI-enhanced fraud detection
  • Privacy and data protection in wireless sensor networks
  • Cyber threat intelligence and risk mitigation
  • Blockchain and cloud security models

Her notable publications include:

  • Resilient Chain: AI-Enhanced Supply Chain Security and Efficiency Integration
  • Assessing the Effectiveness of Current Cybersecurity Regulations and Policies in the US
  • Enhancing Data Privacy in Wireless Sensor Networks for Healthcare & National Security
  • Cyber Analytics: Modeling the Factors Behind Healthcare Data Breaches
  • A Comprehensive Framework for Strengthening Financial Cybersecurity in the US

She is actively working on machine learning applications in financial risk assessment and AI-driven cybersecurity models for healthcare identity theft prevention.

Professional Affiliations & Certifications

Ms. Ejiofor is a Fellow of the Nigerian Institution of Professional Engineers and Scientists (NIPES) and the International Organization for Academic and Scientific Development (IOASD). She is also a member of the IEEE Computer Society, the Nigeria Computer Society (NCS), and the International Society of Data Science.

She holds certifications in Cybersecurity in Healthcare, Data Security & Privacy, Active Directory, and Microsoft Suite and has expertise in technical support, troubleshooting, and cybersecurity frameworks (NIST, CIA Triad).

Author Metrics

Ms. Ejiofor has a growing research impact in the cybersecurity domain, with multiple publications in peer-reviewed journals and conference proceedings. Her work on AI-enhanced cybersecurity models and fraud prevention frameworks has been cited in studies related to financial security, healthcare data protection, and cyber threat intelligence.

Top Noted Publication

Enhancing Cyber Financial Fraud Detection Using Deep Learning Techniques: A Study on Neural Networks and Anomaly Detection

  • Authors: OA Bello, A Folorunso, A Ogundipe, O Kazeem, A Budale, F Zainab, …
  • Journal: International Journal of Network and Communication Research, Vol. 7 (1), pp. 90-113, 2022
  • Citations: 104
  • Summary: This paper explores the application of deep learning models, particularly neural networks and anomaly detection, to improve fraud detection in financial transactions. The study demonstrates how advanced AI techniques can enhance the accuracy and efficiency of cybersecurity mechanisms in the financial sector.

Machine Learning Approaches for Enhancing Fraud Prevention in Financial Transactions

  • Authors: OA Bello, A Folorunso, OE Ejiofor, FZ Budale, K Adebayo, OA Babatunde
  • Journal: International Journal of Management Technology, Vol. 10 (1), pp. 85-108, 2023
  • Citations: 101
  • Summary: This study presents various machine learning strategies for detecting fraudulent activities in financial transactions. It evaluates the performance of supervised and unsupervised learning models in preventing cyber fraud.

A Comprehensive Framework for Strengthening USA Financial Cybersecurity: Integrating Machine Learning and AI in Fraud Detection Systems

  • Author: OE Ejiofor
  • Journal: European Journal of Computer Science and Information Technology, Vol. 11 (6), pp. 62-83, 2023
  • Citations: 101
  • Summary: This paper proposes a robust AI-driven framework for financial cybersecurity in the U.S., leveraging machine learning algorithms for fraud detection and mitigation. It provides policy recommendations for enhancing financial data security.

Analysing the Impact of Advanced Analytics on Fraud Detection: A Machine Learning Perspective

  • Authors: OA Bello, A Folorunso, J Onwuchekwa, OE Ejiofor, FZ Budale, …
  • Journal: European Journal of Computer Science and Information Technology, Vol. 11 (6), pp. 103-126, 2023
  • Citations: 100
  • Summary: This research examines how advanced analytics, including predictive modeling and deep learning, can improve fraud detection capabilities in financial institutions.

Mechanics and Computational Homogenization of Effective Material Properties of Functionally Graded (Composite) Material Plate FGM

  • Authors: C Mathew, O Ejiofor
  • Journal: International Journal of Scientific and Research Publications, Vol. 13 (9), pp. 128-150, 2023
  • Citations: 21
  • Summary: This paper explores the computational modeling of functionally graded materials (FGM), focusing on their mechanical properties and structural behavior.

Conclusion

Ms. Ejiofor is a strong contender for the Best Paper Award, given her highly cited research, AI-driven cybersecurity innovations, and practical contributions to fraud detection and data privacy. If she continues expanding her leadership in cybersecurity research, publishing in more high-impact journals, and emphasizing large-scale real-world applications, she will solidify her position as a top cybersecurity researcher.

Jamshir Qureshi | Cybersecurity | Best Researcher Award

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Mr. Jamshir Qureshi | Cybersecurity | Best Researcher Award 

Vice President, at Purdue University Global, United States.

Summary

Jamshir Qureshi is a seasoned Solution Architect based in Dallas/Fort Worth, Texas, with over two decades of experience in FinTech and regulated industries. Specializing in developing resilient, secure, and scalable enterprise architectures, he has led transformative projects in modern application platforms, cloud-native solutions, and cybersecurity frameworks. His extensive knowledge extends to healthcare information systems and compliance-driven solutions, supporting operational excellence in highly regulated environments. In addition to his technical contributions, Jamshir actively engages in thought leadership, authoring works on AI-driven innovations and their impact on digital transformation. His recent paper, “AI-Powered Cloud-Based E-Commerce,” presented at the IACIS 2024 Conference, showcases his commitment to integrating AI into cloud technologies for digital business growth. Recognized for his leadership in AI-powered cybersecurity solutions, he also served as a judge for the Globee Awards in Cybersecurity. Jamshir is passionate about mentoring and driving continuous improvement across teams and aligning strategies with business priorities.

Professional Profile

Education

🎓 Jamshir Qureshi holds a Master of Science in Information Technology from Purdue University Global, USA. This advanced degree has equipped him with the knowledge and technical prowess to tackle complex architectural and technological challenges in today’s fast-evolving digital landscape. Beyond his formal education, Jamshir is dedicated to continuous learning, demonstrated by his professional certifications. He is an AWS Certified Solutions Architect – Professional, showcasing his commitment to cloud excellence and proficiency in designing and implementing solutions on Amazon Web Services. His memberships in prominent organizations like the National Society of Leadership and Success (NSLS) and the American Association for the Advancement of Science reflect his passion for professional development and leadership in technology. These credentials, combined with his diverse experiences, have empowered Jamshir to build solutions that meet rigorous standards in highly regulated industries, including FinTech and healthcare.

Experience

💼 Over his 20+ year career, Jamshir Qureshi has built a strong foundation in enterprise architecture, focusing on scalable, secure, and resilient systems across various global firms. Currently, he serves as Vice President of Software Engineering at MUFG Bank in Dallas, Texas, where he drives technology initiatives and leads engineering teams. His career includes significant roles, such as Architect at Charles Schwab (2016-2021) and Lead Software Engineer at CVS Caremark (2011). He has also worked with prestigious organizations like Target and OM Software Ltd., spanning locations from India to South Africa and the U.S. Jamshir’s expertise in cloud-native platforms, microservices, DevOps practices, and cybersecurity has allowed him to implement successful strategies that align with business objectives, compliance standards, and operational excellence. His leadership in regulated industries has been recognized as transformative, focusing on innovation and team mentorship.

Research Interests

🔬 Jamshir’s research interests center on the transformative applications of artificial intelligence (AI) and cloud technology in FinTech, e-commerce, and healthcare systems. His research addresses emerging trends in AI-driven solutions, exploring how AI impacts human cognition, emotion, and healthcare. His paper “AI-Powered Cloud-Based E-Commerce,” presented at the IACIS 2024 Conference, delves into how AI integration with cloud technologies can enhance digital business strategies. His interest in AI deepfakes, illustrated in his work “Deciphering Deception: The Impact of AI Deepfakes on Human Cognition and Emotion,” explores the ethical and psychological implications of deepfake technology. Jamshir is also intrigued by the role of AI in healthcare, analyzing both risks and benefits in publications such as “AI Deepfakes in Healthcare: A Double-Edged Sword.” His work underscores his dedication to leveraging AI for innovation while recognizing the ethical considerations tied to this technology.

Awards

🏆 Jamshir Qureshi has received notable recognition for his contributions to technology and innovation. He was honored as a judge for the prestigious Globee Awards in Cybersecurity, reflecting his expertise in AI-powered cybersecurity solutions. His leadership in advancing secure, resilient, and scalable architectures in highly regulated environments has set a standard for excellence. Jamshir’s work on integrating AI into enterprise systems has garnered industry attention, positioning him as a thought leader in cloud-based e-commerce and AI-driven digital transformation. Additionally, his influence extends to the academic and professional communities, where he has shared his expertise through publications and conference presentations. His accolades underscore his commitment to enhancing technology-driven solutions and his ability to shape the future of cybersecurity, artificial intelligence, and enterprise architecture.

Top Noted Publications

📚 Below are some of Jamshir Qureshi’s notable publications, illustrating his contributions to AI and digital transformation:

  • “AI-Powered Cloud-Based E-Commerce: Driving Digital Business Transformation Initiatives”
    • Published in: IACIS 2024 Conference
    • Summary: This paper explores how artificial intelligence (AI) integrated with cloud technologies can drive digital business transformation in e-commerce. It discusses the potential of AI in enhancing business operations, customer experience, and overall business agility, with an emphasis on cloud-native platforms, scalability, and resilience. The paper provides insights into how AI applications can reshape business strategies and models in the digital age.
    • Link: IACIS 2024 Conference Paper
  • “Deciphering Deception: The Impact of AI Deepfakes on Human Cognition and Emotion”
    • Published in: Journal of Applied Artificial Intelligence, 2024
    • Summary: This paper delves into the psychological and cognitive implications of AI-generated deepfakes. It explores how deepfakes influence human perception, trust, and emotions, addressing the ethical concerns and risks associated with their use. The paper discusses both the dangers and potential applications of deepfakes in various sectors, including media and healthcare.
    • Link: Journal of Applied Artificial Intelligence
  • “Artificial Intelligence (AI) Deepfakes in Healthcare Systems: A Double-Edged Sword? Balancing Opportunities and Navigating Risks”
    • Published in: Preprints, 2024
    • Summary: This paper examines the dual nature of AI deepfakes in healthcare. While deepfakes offer transformative potential in areas like medical imaging and patient simulation, they also pose significant risks related to misinformation, privacy, and ethical concerns. The paper explores strategies for navigating these challenges while harnessing the benefits of AI in healthcare.
    • Link: Preprints – AI Deepfakes in Healthcare
  • “How Artificial Intelligence Technology Can Be Used to Treat Diabetes”
    • Published in: Preprints, 2024
    • Summary: This paper investigates how AI technologies can be applied in the treatment of diabetes, focusing on data analytics, predictive modeling, and personalized medicine. It reviews AI-driven advancements in monitoring glucose levels, improving diagnostic accuracy, and designing tailored treatment plans to enhance patient outcomes.
    • Link: Preprints – AI in Diabetes Treatment
  • “How Artificial Intelligence and Machine Learning Can Impact Market Design”
    • Published in: OPAST Publishers, 2024
    • Summary: This paper explores the role of AI and machine learning in transforming market design. It discusses how these technologies can improve market efficiency, enhance decision-making processes, and optimize resource allocation. The paper highlights the future of AI-driven market solutions, particularly in areas such as pricing strategies, demand forecasting, and dynamic pricing models.
    • Link: OPAST Publishers – AI and Market Design

Conclusion

Jamshir Qureshi is a strong candidate for the Best Researcher Award, given his extensive background, contributions to AI and cybersecurity, and demonstrated thought leadership in highly regulated industries. His career reflects an impressive blend of industry expertise, technical knowledge, and commitment to emerging research areas like AI ethics, cybersecurity, and market design. While a more focused publication strategy and deeper academic collaborations could enhance his research impact, his contributions already make a significant case for recognition. His dedication to innovation and the ethical challenges of technology use strengthens his candidacy, aligning well with the goals of a Best Researcher Award.