Jamshir Qureshi | Cybersecurity | Best Researcher Award

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.

 

ShivaDutt Jangampeta | CyberSecurity | Best Researcher Award

Mr. ShivaDutt Jangampeta, CyberSecurity, Best Researcher Award

ShivaDutt Jangampeta at JP Morgan Chase, United States

Summary:

ShivaDutt Jangampeta is a seasoned professional with extensive experience in IT security engineering and system administration. He has held key roles in leading multinational corporations like JPMorgan Chase, PepsiCo, and Lead IT Corporation, where he has successfully managed security engineering teams and implemented cutting-edge technologies to enhance cyber defense capabilities. His expertise spans across a wide range of areas including Splunk, SIEM technologies, containerization, orchestration, and system administration. ShivaDutt is known for his strategic leadership, technical proficiency, and commitment to ensuring the highest standards of security and reliability in IT infrastructure.

Professional Profile:

👩‍🎓Education:

  • Master of Engineering from Florida International University
  • Bachelor of Technology from Jawaharlal Nehru Technological University

Professional Experience:

ShivaDutt has held key positions in renowned organizations, where he has demonstrated exceptional leadership and technical skills:

  • Senior Manager of Security Engineering at JPMorgan Chase (Aug 2019 – Present)
  • Global CyberSecurity Splunk Engineer at PepsiCo (Jan 2017 – Aug 2019)
  • Senior System Engineer at Lead IT Corporation (Dec 2013 – Jan 2017)
  • WebSphere Administrator at RCR Technology (Aug 2012 – Nov 2013)
  • System Administrator at V1 Technologies (Nov 2008 – July 2009)

Research Interest:

While ShivaDutt’s professional background primarily focuses on IT security engineering and system administration, his research interests may extend to areas such as cybersecurity, data analytics, and cloud computing. Given his expertise in Splunk and SIEM technologies, he might have a keen interest in exploring advanced techniques for threat detection, incident response, and security analytics. Additionally, his experience with containerization and orchestration technologies suggests a potential interest in cloud-native security solutions and DevSecOps practices.

Publications Top Noted: 

Title: Financial Data Security and SIEM: Protecting Sensitive Financial Information in Banking and Fintech Systems

  • Author: SD Jangampeta
  • Journal: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
  • Volume: 13
  • Issue: 2
  • Year: 2022

Title: FORTIFYING CYBER DEFENSE: THE CRITICAL ROLE OF SECURING SIEM DATA PIPELINES

  • Author: SD Jangampeta
  • Journal: Journal of Computer Engineering and Technology (JCET)
  • Volume: 6
  • Issue: 2
  • Pages: 14-18
  • Year: 2023

Title: CLOUD-BASED SIEM DATA SECURITY: CHALLENGES AND BEST PRACTICES FOR PROTECTING INFORMATION IN THE CLOUD

  • Author: SD Jangampeta
  • Journal: International Journal of Computer Engineering and Technology (IJCET)
  • Volume: 14
  • Issue: 1
  • Year: 2023

Title: THE EVOLVING THREAT LANDSCAPE: HOW SIEM CAN ADAPT TO EMERGING ATTACK TECHNIQUES

  • Author: SD Jangampeta
  • Journal: International Journal of Information Technology and Management Information
  • Year: 2022

Title: AI AND MACHINE LEARNING IN SIEM: ENHANCING THREAT DETECTION AND RESPONSE WITH PREDICTIVE ANALYTICS

  • Author: SD Jangampeta
  • Journal: International Journal of Artificial Intelligence & Machine Learning (IJAIML)
  • Year: 2022