Ozgur Tonkal | Computer Science and Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Ozgur Tonkal | Computer Science and Artificial Intelligence | Best Researcher Award

Samsun University | Turkey

Dr. Ozgur Tonkal is a distinguished academician and researcher at Samsun University, specializing in cybersecurity, Software-Defined Networks (SDN), and AI-driven threat detection. He earned his Ph.D. in Computer Engineering from Gazi University in 2022, where his doctoral research introduced an autonomous intrusion detection and mitigation model for SDN, providing adaptive and traffic-aware defense against volumetric attacks. Building on this foundation, he developed a multimodal spam email detection framework that integrates Distil BERT embeddings with structural features, achieving 99.62% accuracy and exposing concept drift vulnerabilities across eras of spam. Dr. Ozgur Tonkal has contributed significantly to both academic research and practical applications through international journal articles, conference papers, and book chapters that advance explainable and continually learning cybersecurity systems. His completed research includes DDoS detection using machine learning and neighborhood component analysis, while ongoing projects focus on adaptive spam detection, IoT traffic analysis, and explainable deep learning models for robust network security. Beyond academia, he serves as ISO/IEC 27001:2022 Lead Auditor, coordinator of a university Cyber Incident Response Team, and technical advisor for the Ministry of Education International Robotics Competition, demonstrating his ability to translate research into real-world solutions. Notable publications include studies on multimodal spam detection, AI-based dementia diagnosis, and DDoS attack detection in SDN. Dr. Ozgur Tonkal exemplifies excellence in research, innovation, and the practical implementation of cybersecurity solutions.

Profile: Google Scholar | ORCID | ResearchGate | LinkedIn | Staff Page

Featured Publications

  • Tonkal, Ö., Polat, H., Başaran, E., Cömert, Z., & Kocaoglu, R. (2021). Machine learning approach equipped with neighbourhood component analysis for DDoS attack detection in software-defined networking. Electronics, 10(1227), 1–18. Cited by 128.

  • Tonkal, Ö., & Polat, H. (2021). Traffic classification and comparative analysis with machine learning algorithms in software-defined networks. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, 9(1), 1–12. Cited by 15.

  • Sertkaya, M. E., Ergen, B., Türkoğlu, M., & Tonkal, Ö. (2024). Accurate diagnosis of dementia and Alzheimer’s with deep network approach based on multi‐channel feature extraction and selection. International Journal of Imaging Systems and Technology, 34(3), e23079. Cited by 4.

  • Ouhsousou, S., & Tonkal, Ö. (2024). Analysis of global language dynamics: A cross-cultural examination of the most spoken languages and perceived learning ease. 8th International Artificial Intelligence and Data Processing Symposium, 1–6. Cited by 1.

  • Selimdaroğlu, Y., Yusuf, & Tonkal, Ö. (2025). Acil durum çağrı merkezi uygulamalarında kullanıcı memnuniyeti ve performans analizi: 112 örneği. International Journal of Advances in Engineering and Pure Sciences, 37(2), 45–60.

Umaeswari P | Computer Science | Best Researcher Award

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Dr. Umaeswari P | Computer Science | Best Researcher Award

R.M.K. Engineering College | India

Dr. P. Umaeswari is an accomplished academician and researcher in the field of Computer Science and Engineering with over 18 years of professional experience. Currently serving as an Associate Professor at R.M.K. Engineering College, Chennai, she has made significant contributions to advanced computing and interdisciplinary research. With a strong academic foundation and a deep commitment to educational excellence, she continuously strives to align academic innovation with societal needs.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

Dr. P. Umaeswari is a distinguished academician and researcher with over 18 years of rich teaching and research experience in Computer Science and Engineering. Her remarkable trajectory across various reputed institutions highlights her dedication to advancing technical education and research excellence.

She has published 30+ impactful international journal papers, including prestigious outlets like Springer, IEEE Xplore, Elsevier, and UGC CARE journals, demonstrating interdisciplinary depth in IoT, Cloud Computing, Machine Learning, Cybersecurity, and Bioinformatics. Her work on biosensors, privacy in wearable IoT devices, smart agriculture, and AI-based security systems shows a strong alignment with current technological challenges and innovations.

In addition to research papers, Dr. Umaeswari has authored six academic books on topics ranging from Artificial Intelligence to Network Security, enhancing curriculum resources and bridging the academic-industry gap. Furthermore, her professional memberships in organizations such as ISTE, Indian Academic Researchers Association, and Knowledge Research Academy reinforce her credibility and active engagement with the research community.

🎓 Education

Dr. Umaeswari holds a Ph.D. in Computer Science and Engineering from St. Peter’s University (2019), preceded by an M.E. in the same field from the same institution (2011). She also earned an M.Phil. in Computer Science (2009) and an M.C.A. in Computer Applications (2006) from Alagappa University. Her academic journey began with a B.Sc. in Computer Science (2000) from Bhaktavatsalam Memorial College for Women under Madras University. Her consistent pursuit of excellence is evident in her academic accolades and grades.

💼 Professional Experience

Dr. Umaeswari’s career spans across various esteemed institutions. She is currently an Associate Professor at R.M.K. Engineering College (2022–present). Her earlier roles include Assistant Professorships at S.A. College of Arts & Science, Mar Gregorios College, and Ponnusamy Nadar College, among others. With 18 years and 3 months of teaching experience, her roles have encompassed teaching, mentoring, and research. Her long-standing service in both engineering and arts and science colleges highlights her interdisciplinary flexibility and dedication.

🔬 Research Interests On Computer Science

Dr. Umaeswari’s research interests encompass Machine Learning, IoT, Cloud Computing, Cybersecurity, Bioinformatics, and Smart Systems. Her work aims at integrating theoretical computing concepts with real-world applications such as biosensors, smart agriculture, and secure cloud frameworks. Her multi-domain approach empowers interdisciplinary collaboration and innovation.

🏆 Awards

Dr. Umaeswari has been honored with numerous accolades including the Research Excellence Award (2024) from SIDVI Foundation, the Inspiring Research Associate Award (2023) from Madras Journal Series Pvt Ltd, and two Best Faculty Awards (2022 & 2023) from prominent academic bodies. These recognitions validate her impact in academia and innovation.

📚 Publications

Dr. Umaeswari has contributed to over 30 international journals and numerous conferences. Her recent impactful works include:

  • Machine Learning Based Predicting the Assisted Living Care Needs
    P. Umaeswari, S.B.G.T. Babu, G.A. Sankaru, G.N.R. Prasad, B.V.S. Thrinath, …
    2022 — 📑 48 citations

  • Development of Programmed Autonomous Electric Heavy Vehicle: An Application of IoT
    P.N. Reddy, P. Umaeswari, L. Natrayan, A. Choudhary
    2023 — 📑 19 citations

  • Statistical Computing and Analysis of Apple Peel Biocarbon and Beta Vulgaris Cellulosic Fiber Vinyl-Based EMI Shielding Composite
    P. Umaeswari, G. Lokesh, A.S.A. Nisha, I.J. Solomon
    2025 — 📑 6 citations

  • IoT-Enabled Energy Conservation in Residential Buildings: Machine Learning Models for Analyzing Annual Solar Power Consumption
    P. Umaeswari, R. Sonia, T.R. Saravanan, N. Poyyamozhi
    2024 — 📑 6 citations

  • Development of Innovative Algorithm for Sound Detection Based on FFT and Goertzel Algorithms
    P. Umaeswari, B.V. Jyothi, G.R.G. King, T. Patil, R. Gukendran
    2024 — 📑 3 citations

  • Internet of Things (IoT) for Remote Earthquake and Fire Detection Monitoring: Linking Safety
    P. Umaeswari, M. Muktasandhu, M. Vignesh, R. Ramyamaranan, …
    2024 — 📑 2 citations

  • Digital Twin-Driven Intrusion Detection for IoT and Cyber-Physical System
    S.K. Ramamoorthy, L. Sindhu, K. Valarmathi, C. Gobinath, P. Umaeswari
    2024 — 📑 1 citation

  • Strategic Management Accounting Practices Between Developed and Emerging Economies Using Machine Learning
    M.S. Almahairah, V.K. Saroha, A. Asokan, P. Umaeswari, J.A. Khan, …
    2022 — 📑 1 citation

  • Local Train Ticketing System Using Web Services
    R. Sheeja, P. Umaeswari, C. Bibin, R. Nishanth, S.H. Chandana
    2022 — 📑 1 citation

  • Multilevel Security System for Big Data Cloud Using SDBS Algorithm
    P. Umaeswari, B. Shanthini, S. Senthil Kumar
    2020 — 📑 1 citation

📝 Conclusion

Dr. P. Umaeswari stands out as a passionate educator, prolific researcher, and visionary thinker. With numerous accolades, interdisciplinary research, impactful publications, and two decades of academic service, she embodies the ideal candidate for a prestigious award. Her scholarly impact and dedication to continuous improvement ensure that she will continue to elevate the fields of Computer Science and Engineering.