Anusha Sowbarnika Veluswamy | Network Security | Women Researcher Award

Dr. Anusha Sowbarnika Veluswamy | Network Security | Women Researcher Award

Dr. Anusha Sowbarnika Veluswamy, Susquehanna University, United States

Dr. V. Anusha Sowbarnika is an Assistant Professor at Susquehanna University, Pennsylvania, USA. With a robust background in information technology, she focuses on cryptography, network security, and AI. Having published several research papers, she specializes in guiding students in advanced computing areas, including data mining, computer architecture, and cyber forensics. Dr. Sowbarnika fosters a multicultural learning environment and integrates critical thinking into her teaching methods, aiming to inspire and motivate students. She has six years of teaching experience and has worked in both academic and administrative roles. Additionally, she has experience in the financial sector, having worked as a Relationship Banker at Clinton Savings Bank.

Professional Profile

Google Scholar

Suitability for the Research for Women Researcher Award

V. Anusha Sowbarnika’s background and achievements make her an excellent candidate for the Research for Women Researcher Award. She has demonstrated a strong commitment to both academic excellence and mentorship, particularly in the field of computer science and information technology. As an Assistant Professor at Susquehanna University, she not only teaches undergraduate and graduate students in diverse areas such as Artificial Intelligence, Data Mining, and Cyber Forensics, but also plays a pivotal role in guiding students to develop essential skills for their academic and professional growth.

Her expertise in emerging topics like cryptography, network security, and cloud computing security highlights her ability to contribute to cutting-edge research in the information technology domain. Anusha’s research has been recognized through publications in both national and international journals and conferences, focusing on cryptographic algorithms, cluster analysis, and cloud computing. This indicates her substantial contribution to advancing knowledge in her field, which aligns well with the goals of the Research for Women Researcher Award.

Education

Dr. Anusha Sowbarnika holds a Ph.D. in Information and Communication Engineering from Anna University, India. She completed her Master of Engineering in Computer Science and Engineering from Karpagam University, Coimbatore, India. Her academic journey began with a Bachelor of Engineering in Information Technology from Avinashilingam University for Women, Coimbatore. Her educational background provides a solid foundation for her research in network security, cryptography, and computing. She also holds certifications in teaching, including the ISTQB Certified Tester Foundation Level and certificates in teaching and learning from “Mission 10X” and “Seed”.

Professional Experience

Dr. Sowbarnika's professional career includes roles in academia and banking. At Susquehanna University, she designs and delivers high-quality instruction in computer science, guiding both undergraduate and graduate students. Her expertise spans Artificial Intelligence, Network Security, Data Mining, and Cryptography. Dr. Sowbarnika’s administrative experience includes curriculum design, assessment, and mentoring students. Before her current role, she was an Assistant Professor at Info Institute of Engineering, Kovilpalayam, and GKM College of Engineering & Technology in India. Additionally, she worked as a Relationship Banker at Clinton Savings Bank, providing excellent customer service and facilitating banking operations.

Awards and Recognition

Dr. Sowbarnika has been recognized for her academic excellence and contributions to research in computer science. She has published numerous papers in prestigious national and international journals and conferences, focusing on cryptographic algorithms, network security, and cloud computing. She has received awards for her role in enhancing student learning and engagement. Additionally, Dr. Sowbarnika has completed multiple Faculty Development Programs (FDPs) and workshops on topics such as Big Data Analytics, Cloud Computing, and Data Mining, underscoring her commitment to professional growth.

Research Skills On Network Security

Dr. Sowbarnika’s research expertise includes cryptography, network security, cloud computing security, and cyber forensics. Her work focuses on advanced cryptographic algorithms, data security, and the application of AI in enhancing network security. She has extensive experience in data mining, Python programming, and the development of secure systems in computing. Dr. Sowbarnika is skilled at guiding research projects, collaborating on academic research initiatives, and mentoring students in their research endeavors. Her interdisciplinary approach to solving complex problems in IT makes her a valuable asset to the field.

  Publication Top Notes

  1. Title: The security‐based optimization algorithm for enhancing the energy efficiency of wireless sensor networks
    Authors: V. Anusha Sowbarnika, M. Balasubramani, K. Kavitha
    Journal: International Journal of Communication Systems, 36(16), e5584
    Citations: 3
    Year: 2023

  2. Title: GPU acceleration using CUDA framework
    Authors: P.P. Nambiar, V. Saveetha, S. Sophia, V.A. Sowbarnika
    Journal: International Journal of Innovative Research in Computer and Communication Engineering
    Citations: 3
    Year: 2014

  3. Title: Enhanced security measures in wireless sensor networks: Leveraging random forest and k-means clustering for node replication attack detection
    Authors: V. Anusha Sowbarnika, R. Lokeshkumar, T. Gopalakrishnan, S. Priya, et al.
    Journal: International Journal of Computing and Digital Systems, 16(1), 1–19
    Citations: 2
    Year: 2024

  4. Title: Modeling of metaheuristic-based dual cluster head selection with routing protocol for energy-efficient wireless sensor networks
    Authors: P.K.S.S. Maddikera Krishna Reddy, Anusha Sowbarnika Veluswamy, S. Selvanayaki, C. [others not listed]
    Journal: Soft Computing
    Year: 2025

  5. Title: Improving Security and Communication Protocols in Smart Grid using Deep Learning to Ensure Data Privacy
    Authors: Anusha Sowbarnika Veluswamy, S. Thanga Ramya, D. Praveena, Issac [others not listed]
    Conference: International Conference on Optimization Techniques in the Field of ...
    Year: 2025

  6. Title: Natural Language Processing for Sentiment Analysis in Social Media Techniques and Case Studies
    Authors: A.M.M.V. Anusha Sowbarnika Veluswamy, A. Nagamani, M. SilpaRaj, D. Yobu
    Journal: ITM Web of Conferences, 76, 05004
    Year: 2025

  7. Title: Enhancing the Security and Energy Efficiency by Integrating Grid Based Adversarial Clustering and Ant Colony Optimization (ACO) in Wireless Sensor Networks
    Authors: V.A. Sowbarnika, M. Balasubramani, K. Kavitha
    Journal: International Journal of Advanced Science and Technology, 29(3), 11750–11759
    Year: 2020

  8. Title: Curtailing the Energy Consumption of Wireless Sensor Networks by Genetic Algorithm
    Authors: A.S. Veluswamy, M. Balasubramani, K. Kavitha
    Journal: International Journal of Analytical and Experimental Modal Analysis, 11
    Year: 2019

  9. Title: Evaluating the effects of Cryptographic Algorithms on Different sets of Data
    Authors: A.S. Veluswamy, M. Balasubramani, K. Kavitha
    Conference: SSRG International Journal of Computer Science and Engineering – (ICET’17)
    Year: 2017

  10. Title: Twitter Based Earthquake Alert System
    Authors: N.V. Anitha R., S. Selvakumar, V. Anusha Sowbarnika
    Journal: International Journal of Innovative Research in Computer and Communication Engineering
    Year: 2014

 

Ali AlQahtani | Cybersecurity | Best Researcher Award

Ali AlQahtani | Cybersecurity | Best Researcher Award

Assistant Professor at North Carolina Agricultural and Technical State University,United States🎓

Dr. Ali Abdullah S. AlQahtani is a highly accomplished researcher and academic with over 13 years of diverse experience in academia, research, industry, and military settings. His career is distinguished by a strong commitment to global perspectives and Saudi Vision 2030, combined with a proven track record of teaching, research, and leadership. Known for his flexibility and adaptability, Dr. AlQahtani excels in motivating teams, developing innovative research programs, and contributing meaningfully to the academic and technological communities.

Professional Profile 

🎓Education

Dr. AlQahtani earned his Doctor of Philosophy in Engineering Cyberspace Engineering from Louisiana Tech University, where he completed a dissertation titled “0E2FA: Zero Effort Two Factor Authentication.” His academic journey includes a Master of Engineering in Electrical Engineering from the same institution, a Master of Science in Computer and Information Science from Southern Arkansas University, and a Bachelor of Science in Computer Science from Grambling State University. His educational background highlights his expertise in cybersecurity, artificial intelligence, and machine learning.

💼Work Experience

Dr. AlQahtani currently serves as an Assistant Professor of Computer Systems Technology at North Carolina Agricultural and Technical State University (NCAT). In this role, he teaches undergraduate and graduate courses, mentors students, and engages in program assessment and accreditation. Previously, he held positions at the University of Wisconsin Extended Campus and the University of Wisconsin Green Bay, where he introduced hands-on cybersecurity labs, developed curricula, and supervised research projects. His experience as a Teaching Assistant at Louisiana Tech University further underscores his dedication to teaching and mentoring.

🔍Research Focus 

Dr. AlQahtani’s professional achievements have been recognized through various accolades, including successful mentoring of students leading to notable academic publications and significant contributions to curriculum development and program assessment. His commitment to excellence in teaching and research has established him as a respected figure in his field.

🏆Awards and Honors

Dr. AlQahtani’s research interests include IoT security, user authentication, adaptive cryptography, and the application of AI & ML in cybersecurity. His work is focused on advancing knowledge and addressing contemporary challenges in technology and security, reflecting his dedication to driving innovation and improving user security and privacy.

Conclusion

Dr. Ali Abdullah S. AlQahtani is a highly qualified candidate for the Best Researcher Award. His extensive experience, research expertise, and commitment to advancing technology and education make him a standout nominee. His contributions to academia and research demonstrate his potential to drive innovation and inspire future researchers.

📖Publications : 

    • Comprehensive survey: Biometric user authentication application, evaluation, and discussion
      Authors: Alrawili, R., AlQahtani, A.A.S., Khan, M.K.
      Journal: Computers and Electrical Engineering, 2024, 119, 109485
      Publication Type: Article • Open access
      Emoji: 🕵️‍♂️📊
    • Credit Card Transactions Fraud Detection for Multiple Consumer Behaviors
      Authors: Smadi, B.A., Glisson, W.B., Tahat, M., Alamleh, H., Alqahtani, A.A.S.
      Conference: 2024 International Conference on Computing, Networking and Communications (ICNC 2024)
      Year: 2024
      Pages: 26–32
      Publication Type: Conference Paper
      Emoji: 💳🚨
    • Advancing Privacy Research: A Novel Realistic Persona-Based Dataset
      Authors: Godwin, C., Alqahtani, A.A.S., Alamleh, H., Hu, W.-C., Elsaid, A.
      Conference: 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS 2024)
      Year: 2024
      Pages: 1720–1725
      Publication Type: Conference Paper
      Emoji: 🔐📈
    • Leveraging Machine Learning for Wi-Fi-Based Environmental Continuous Two-Factor Authentication
      Authors: Alqahtani, A.A.S., Alshayeb, T., Nabil, M., Patooghy, A.
      Journal: IEEE Access, 2024, 12, pp. 13277–13289
      Publication Type: Article • Open access
      Emoji: 📶🔒
    • Securing IoT-Based Healthcare Systems Against Malicious and Benign Congestion
      Authors: Kamarei, M., Patooghy, A., Alsharif, A., Alqahtani, A.A.S.
      Journal: IEEE Internet of Things Journal, 2023, 10(14), pp. 12975–12984
      Publication Type: Article
      Emoji: 🏥🌐
    • Distinguishing Human-Written and ChatGPT-Generated Text Using Machine Learning
      Authors: Alamleh, H., Alqahtani, A.A.S., Elsaid, A.
      Conference: 2023 Systems and Information Engineering Design Symposium (SIEDS 2023)
      Year: 2023
      Pages: 154–158
      Publication Type: Conference Paper
      Emoji: ✍️🤖
    • Secure Mobile Payment Architecture Enabling Multi-factor Authentication
      Authors: Alamleh, H., Alqahtani, A.A.S., Al Smadi, B.
      Conference: 2023 Systems and Information Engineering Design Symposium (SIEDS 2023)
      Year: 2023
      Pages: 19–24
      Publication Type: Conference Paper • Open access
      Emoji: 📱💳🔐
    • Optimizing Smart Home Performance and User Convenience with RSSI-based Proximity Detection
      Authors: Alqahtani, A.A.S., Alamleh, H.
      Conference: 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC 2023)
      Year: 2023
      Pages: 319–325
      Publication Type: Conference Paper
      Emoji: 🏠📡