Waris Ali | Computer Science | Best Researcher Award

Mr Waris Ali | Computer Science | Best Researcher Award

Student, Beijing University of Technology, China

Waris Ali is a PhD scholar in the Department of Information Technology at Beijing University of Technology, China. With extensive academic and professional experience in Computer Science, he has worked as a lecturer at multiple institutions in Pakistan, including The Islamia University of Bahawalpur, Superior Group of Colleges, and Govt. Degree College. Throughout his career, Waris has demonstrated strong interpersonal skills and cultural competence, which have helped him foster a collaborative learning environment. His work focuses on advanced technologies like distributed systems, IoT, and artificial intelligence, with a particular emphasis on content delivery networks (CDNs) and multi-CDN deployment. Waris is committed to pushing the boundaries of technology through his research, contributing valuable insights to both academia and industry.

PROFESSIONAL PROFILE

Google Scholar

EDUCATION

Waris Ali is currently pursuing a PhD in Computer Science (2022-2026) at Beijing University of Technology, China. He completed his M.Phil. in Computer Science in 2020 from The Islamia University of Bahawalpur, where he achieved an impressive CGPA of 3.74/4.0. He also holds a Bachelor of Science in Information Technology (2013-2017) from the same institution, graduating with a CGPA of 3.889/4.0. Waris completed his intermediate studies in Science (FSc Pre-Engineering) in 2013, securing 730/1100 marks from the Board of Intermediate and Secondary Education. His academic journey reflects a strong foundation in computer science and information technology, positioning him for success in his current research.

EXPERIENCE

Waris Ali has garnered substantial experience as a lecturer in Computer Science at various prestigious institutions, including The Islamia University of Bahawalpur, Superior Group of Colleges, and Govt. Degree College, Yazman. He has also worked as a web developer at Digicon Computer Center, Bahawalpur. His teaching experience spans from 2017 to 2022, during which he has consistently demonstrated excellent communication and interpersonal skills. Waris has built strong relationships with both students and faculty, creating a supportive educational environment. His ability to collaborate with students from diverse backgrounds has enriched the learning experience, especially in international settings. This experience complements his academic research and professional growth.

AWARDS AND HONORS

Waris Ali’s dedication to research and academic excellence has earned him recognition in his field. He received accolades for his contribution to the study of content delivery networks in Pakistan. His work, β€œAnalyzing the Deployment and Performance of Multi-CDNs in Pakistan,” was published in the Pakistan Journal of Engineering and Technology. Additionally, Waris presented at notable conferences such as the 4th Asia Pacific International Conference on Emerging Engineering (APICEE), where he discussed multi-CDN deployment. He has also participated in the 2nd International Computer Science Conference, showcasing his ongoing commitment to advancing the field of Computer Science.

RESEARCH FOCUS

Waris Ali’s research interests lie in distributed systems, reliable networks, content delivery networks (CDNs), IoT applications, artificial intelligence, and data science. His work aims to analyze and improve the performance and deployment of multi-CDNs, with a focus on their application in Pakistan. His research contributes valuable insights into optimizing the efficiency of these networks, as well as exploring the potential of emerging technologies in real-world applications. With his current research as a PhD candidate at Beijing University of Technology, Waris is working to expand the boundaries of knowledge in these cutting-edge fields.

PUBLICATION TOP NOTES

  • “Analyzing the Deployment and Performance of Multi-CDNs in Pakistan” β€” Pakistan Journal of Engineering and Technology πŸ“–
  • “Analyzing the Deployment and Performance of Multi-CDNs in Pakistan” β€” 4th Asia Pacific International Conference on Emerging Engineering (APICEE), 2021 πŸ“š
  • “The 2nd International Computer Science Conference” β€” International Conference on Intelligent Technologies & Applications (INTAP), 2019 πŸ’»

CONCLUSION

Waris Ali is a promising researcher and academic in the field of Computer Science, dedicated to advancing the understanding and application of emerging technologies. With a solid educational background and diverse professional experience, he continues to contribute valuable research on content delivery networks, artificial intelligence, and IoT applications. His commitment to excellence in both teaching and research underscores his role as an influential figure in the global tech community.

Ali Abdullah S. AlQahtani | Cybersecurity | Best Researcher Award

Dr Ali Abdullah S. AlQahtani | Cybersecurity | Best Researcher AwardΒ 

Assistant Professor, Prince Sultan University, Saudi Arabia

Dr. Ali Abdullah S. AlQahtani is an esteemed cybersecurity researcher and academic affiliated with Prince Sultan University. His expertise spans digital authentication, cybersecurity, IoT applications, and machine learning. He has contributed significantly to authentication systems, including zero-effort two-factor authentication and continuous authentication mechanisms. Dr. AlQahtani has authored numerous high-impact publications and has been cited widely for his research in secure digital identification and privacy protection. His contributions extend to academia and industry, where he has collaborated on innovative security solutions.

PROFESSIONAL PROFILE

Google Scholar

STRENGTHS FOR THE AWARD

  1. Strong Academic Background – Dr. AlQahtani holds a Ph.D. in Engineering (Cyberspace Engineering) from Louisiana Tech University, along with master’s degrees in Electrical Engineering and Computer & Information Science (Cybersecurity & Privacy). His education is well-aligned with cutting-edge cybersecurity research.
  2. High Citation and Research Impact – He has multiple peer-reviewed publications, including papers in IEEE Access and leading cybersecurity conferences. His work on machine learning, cybersecurity, digital authentication, and IoT security has received substantial citations, indicating strong influence in the field.
  3. Innovative Research Contributions – His work on Zero Effort Two-Factor Authentication (0E2FA) and Beacon Frame Two-Factor Authentication (BF2FA) demonstrates significant contributions to authentication mechanisms, enhancing security with minimal user interaction.
  4. Focus on Emerging Topics – Dr. AlQahtani’s research spans biometric authentication, IoT security, AI-driven cybersecurity, and location-based authentication systems, aligning with global challenges in cybersecurity.
  5. Diverse Research Collaborations – He has worked with multiple researchers across different institutions and has interdisciplinary collaborations in cybersecurity, AI, and IoT security, enhancing the practical applicability of his research.

AREAS FOR IMPROVEMENT

  1. Industry Collaboration & Patents – While his research is strong, expanding collaboration with industry leaders in cybersecurity and obtaining patents on his authentication systems could enhance the practical impact of his work.
  2. Government & Policy Influence – Given the increasing importance of cybersecurity policies, contributing to government regulations or cybersecurity frameworks could further solidify his global recognition.
  3. Large-Scale Real-World Implementation – While his research on user authentication and IoT security is promising, implementing his solutions at scale (e.g., national security, enterprise cybersecurity, or smart cities) would further validate his innovations.

EDUCATION

πŸŽ“ Doctor of Philosophy in Engineering (Cyberspace Engineering) – Louisiana Tech University, USA (2017-2020)
πŸ“ Dissertation: “0E2FA: Zero Effort Two Factor Authentication”
πŸ“Š GPA: 3.667/4.00

πŸŽ“ Master of Engineering in Electrical Engineering – Louisiana Tech University, USA (2017-2019)
πŸ“Š GPA: 3.667/4.00

πŸŽ“ Master of Science in Computer and Information Science – Southern Arkansas University, USA (2016-2017)
πŸ”¬ Concentration: Cybersecurity and Privacy
πŸ“Š GPA: 3.90/4.00

πŸŽ“ Bachelor of Science in Computer Science – Grambling State University, USA (2013-2016)
πŸ“Š Major & Math GPA: 4.00/4.00 | Overall GPA: 3.90/4.00

EXPERIENCE

With a diverse background in academia, research, industry, and military service, I have gained extensive expertise in cybersecurity, computer science, and leadership roles. As an Assistant Professor of Cybersecurity at Prince Sultan University and previously at North Carolina A&T State University, I have taught graduate and undergraduate courses, mentored students, and led research initiatives. My research spans cybersecurity, authentication systems, and artificial intelligence, securing over $1.9M in funding. I also held leadership roles as Projects Director at King Saud University and Founding Director of CyberNex Lab, spearheading cybersecurity initiatives. My industry experience includes working as a Software Engineer Intern at CenturyLink, developing innovative mobile applications. Additionally, I served in the Royal Saudi Air Force (2004-2011), gaining expertise in technical operations and leadership. My multidisciplinary experience enables me to contribute effectively to academia, research, and industry collaborations.

AWARDS AND HONORS

πŸ† Best Research Paper Award – Multiple conferences on cybersecurity and authentication
πŸ† Outstanding Research Contribution – Recognized for innovations in digital authentication
πŸ† Cybersecurity Excellence Award – Honored for advancements in secure IoT applications
πŸ† Best Academic Performance – Awarded for excellence in computer science education

RESEARCH FOCUS

πŸ” Cybersecurity – Enhancing digital security frameworks
πŸ†” Digital Authentication – Developing zero-effort and two-factor authentication models
πŸ“‘ IoT Applications – Securing IoT networks and devices
πŸ€– Machine Learning in Security – Applying ML for authentication and threat detection

PUBLICATION TOP NOTESπŸ“š

πŸ“ Distinguishing Human-Written and ChatGPT-Generated Text Using Machine Learning
πŸ“ 0EISUA: Zero Effort Indoor Secure User Authentication
πŸ“ A Survey on User Authentication Factors
πŸ“ Zero-Effort Indoor Continuous Social Distancing Monitoring System
πŸ“ COVID-19 Zero-Interaction School Attendance System
πŸ“ TS2FA: Trilateration System Two Factor Authentication
πŸ“ BF2FA: Beacon Frame Two-Factor Authentication
πŸ“ A Cheat-Proof System to Validate GPS Location Data
πŸ“ Comprehensive Survey: Biometric User Authentication Application, Evaluation, and Discussion
πŸ“ IoT Devices Proximity Authentication in Ad Hoc Network Environment
πŸ“ Analysis of the Design Requirements for Remote Internet-Based E-Voting Systems
πŸ“ 0EI2FA: Zero Effort Indoor Two Factor Authentication
πŸ“ CI2FA: Continuous Indoor Two-Factor Authentication Based On Trilateration System
πŸ“ Architecture for Continuous Authentication in Location-Based Services
πŸ“ A Weighting System for Building RSS Maps by Crowdsourcing Data from Smartphones
πŸ“ Leveraging Machine Learning for Wi-Fi-Based Environmental Continuous Two-Factor Authentication
πŸ“ Navigating Cybersecurity Training: A Comprehensive Review
πŸ“ Comparative Analysis of Underwater Positioning and Navigation Systems
πŸ“ Two Methods for Authentication Using Variable Transmission Power Patterns
πŸ“ Securing IoT-Based Healthcare Systems Against Malicious and Benign Congestion

CONCLUSION

Dr. Ali Abdullah S. AlQahtani is a highly qualified candidate for the Best Researcher Award in cybersecurity and authentication technologies. His pioneering work in two-factor authentication, machine learning applications in cybersecurity, and IoT security positions him among top researchers in the field. Strengthening industry partnerships, real-world applications, and policy influence would further enhance his contributions and solidify his status as a leading expert.