Thiru Nirai Senthil | Computer Science | Best Academic Researcher Award

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Dr. S. Thiru Nirai Senthil | Computer Science | Best Academic Researcher Award

Jawahar Science College | India

Author Profile

Google Scholar

Early Academic Pursuits

Dr. S. Thiru Nirai Senthil began his academic journey with a strong foundation in computer science and engineering, developing expertise that would later encompass diverse domains such as bioinformatics, artificial intelligence, network security, and data mining. His early exposure to both computational technologies and biological systems enabled him to adopt an interdisciplinary approach to research. Over the years, he built a rich portfolio of technical skills, contributing to areas from molecular modeling and protein analysis to large-scale network optimization and machine learning applications.

Professional Endeavors

With an extensive career in academia, Dr. Senthil has served in pivotal roles, including Head of the Department of Computer Science and Engineering at PRIST University, overseeing curriculum design, departmental administration, and faculty development. His professional experience extends to acting as Chief Superintendent and Additional Chief Superintendent for examination processes, member of various academic boards, and leader in event organization. He has consistently bridged the gap between theoretical research and practical application, guiding students, designing academic programs, and managing university-level technological systems such as ERP CAMU for admissions and data management.

Contributions and Research Focus

Dr. Senthil’s research spans multiple high-impact areas, notably artificial intelligence, machine learning, data mining, cloud computing, IoT, wireless sensor networks, bioinformatics, and cybersecurity. His contributions include the development of algorithms for optimized clustering, secure cloud storage auditing, intelligent e-learning systems, and AI-driven healthcare solutions. His interdisciplinary publications address both technological and societal challenges, such as AI-assisted medical devices, data-driven pandemic analysis, and sentiment analysis for social media monitoring. He has presented papers at prestigious national and international conferences, including ICICACS, ASCIS, ICRTSM, and the Asian Mycological Congress, demonstrating global engagement in research dissemination.

Impact and Influence

Dr. Senthil’s work has had a significant influence on both academic and applied technology communities. His AI-based patents in healthcare, autonomous navigation, and social media analytics showcase his commitment to impactful innovation. He has authored books on core computing subjects-Artificial Intelligence, Machine Learning, Data Mining and Warehousing, and Client-Server Computing-providing valuable academic resources for students and professionals alike. His leadership in faculty development programs, organization of technical workshops, and delivery of expert lectures has shaped the learning environment for countless students and educators.

Academic Citations and Recognition

His research publications have been widely cited, particularly in areas involving AI for agriculture, healthcare, and network optimization. Recognition of his scholarly contributions includes prestigious honors such as the Researcher Excellence Award (2025) and the Global Eminent Academician Award (2021), acknowledging both his research impact and his dedication to teaching excellence.

Legacy and Future Contributions

Dr. Senthil’s academic legacy lies in his ability to integrate multidisciplinary domains, creating solutions that address real-world problems while advancing theoretical frameworks. His role as a research guide and doctoral committee member ensures the training of future scholars, while his patents lay the groundwork for continued innovation. Moving forward, his work is poised to expand into emerging areas of generative AI, advanced machine learning models, and AI-driven biomedical devices, promising further contributions to science, technology, and society.

Conclusion

Dr. S. Thiru Nirai Senthil exemplifies the modern academician—innovative, interdisciplinary, and dedicated to the advancement of knowledge. His career reflects a rare combination of research excellence, pedagogical commitment, and visionary leadership. With an impressive record of publications, patents, and academic service, he continues to influence the trajectory of research in computer science and its allied fields, leaving a lasting mark on both academia and industry.

Notable Publications

"LCNFN: LeNet‐Cascade Neuro‐Fuzzy Network for Grape Leaf Disease Segmentation and Multi‐Classification" 

  • Author: G Selvaraj, SV Puthenkaleelkal, P Alaguchamy, STN Senthil
  • Journal: Journal of Phytopathology
  • Year: 2025

"COVID-19 Adaptive E-Learning: Data-Driven Student Engagement Analysis" 

  • Author: LL Rani, ST Senthil
  • Journal: International Conference on Integrated Circuits
  • Year: 2024

"Text Classification with Automatic Detection of COVID-19 Symptoms from Twitter Posts Using Natural Language Programming (NLP)" 

  • Author: N Manikandan, S Thirunirai Senthil
  • Journal: International Conference on Advancements in Smart Computing
  • Year: 2023

"Efficient College Students Higher Education Prediction Using Machine Learning Approaches" 

  • Author: L Lalli Rani, S Thirunirai Senthil
  • Journal: International Conference on Advancements in Smart Computing
  • Year: 2023

"Improved Genetic Algorithm Based k-means Cluster for Optimized Clustering" 

  • Author: FM Ilyas, ST Senthil
  • Journal: International Conference on Advancements in Smart Computing
  • Year: 2023

 

Arul Selvam | Cloud Computing | Best Researcher Award

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Mr. Arul Selvam | Cloud Computing | Best Researcher Award

Hindusthan College of Engineering and Technology | India

Author Profile

Scopus

EARLY ACADEMIC PURSUITS

Arul Selvam began his academic journey with a strong foundation in computer science and engineering, demonstrating early proficiency in both software development and system-level applications. His academic curiosity was shaped through various institutional platforms where he gained practical experience and exposure to contemporary technologies. His student projects reflect a keen interest in security and efficiency, such as his notable work on Secure and Efficient Group Key Agreement Using Dynamic Balanced Key Tree Management. His passion for learning translated into active participation in numerous seminars, workshops, and national-level conferences during his academic years.

PROFESSIONAL ENDEAVORS

Arul Selvam has built an impressive professional portfolio as a software engineer, researcher, and educator. His technical expertise spans across a wide range of programming languages such as Java, Python, PHP, C++, and JavaScript, along with database systems like MySQL and MongoDB. He is also proficient in web technologies and frameworks including Laravel, CodeIgniter, Angular, ReactJS, and Django. His real-world contributions include the development of over 10 large-scale ERP and web applications, notably in areas like HR management, doctoral committee automation, internal assessment systems, and online examination systems. These projects not only demonstrate his application development skills but also reflect his alignment with institutional digitization and automation goals.

CONTRIBUTIONS AND RESEARCH FOCUS ON CLOUD COMPUTING

Arul Selvam’s research is anchored in modern computing challenges with a strong focus on cloud computing security, insider threat detection, AI-based automation, and real-time data analytics. His scholarly contributions include the development of models such as Hierarchical Auto-Associative Polynomial Convolutional Neural Networks, YOLO-based disease detection systems, and Blockchain-integrated insider threat prevention systems. He has published over 20 peer-reviewed papers in reputed journals like Knowledge-Based Systems, Journal of Circuits, Systems and Computers, and IEEE Xplore. Many of these works are indexed in Scopus, UGC Care, and other high-impact platforms, reflecting his strong research acumen and influence.

IMPACT AND INFLUENCE

Through his commitment to excellence, Arul Selvam has made significant contributions to both academia and industry. His solutions in cybersecurity and insider threat detection are already influencing frameworks used in academic and government digital infrastructures. Beyond technical contributions, he has mentored numerous students, collaborated with faculty across disciplines, and presented at international forums including those co-hosted by institutions in Malaysia, Uzbekistan, and Oman. His sessions and masterclasses on topics ranging from Machine Learning to Data Analytics Using Python have positively influenced aspiring developers and researchers.

ACADEMIC CITES

Arul Selvam’s scholarly output is widely cited, especially his works on insider threat detection using AI models and cloud infrastructure security. His highly cited paper in Knowledge-Based Systems (2025) and another on blockchain-based cloud security published in the Journal of Circuits, Systems and Computers have gained significant recognition. His conference papers and indexed journal publications ensure that his research contributes to the evolving body of global knowledge in AI, cybersecurity, and cloud computing.

LEGACY AND FUTURE CONTRIBUTIONS

Arul Selvam’s professional narrative is not just about contributions but also about creating a sustainable digital future. He aims to expand his research in areas like ethical AI, generative AI applications, and quantum computing security protocols. His continuous involvement in AICTE-ATAL FDPs, international conferences, and innovation festivals ensures that he stays at the frontier of innovation and pedagogy. His legacy is rooted in knowledge dissemination, interdisciplinary collaboration, and the pursuit of impactful technology that bridges the gap between academic theory and industrial practice.

OTHER SIGNIFICANT HIGHLIGHTS

  • Workshops and FDPs: Arul Selvam has attended over 60 workshops, masterclasses, and FDPs on emerging areas such as Generative AI, AR/VR, Cybersecurity, Python, Data Science, and more-both online and in premier institutes like Amrita Vishwa Vidyapeetham, VIT-AP, and IIT-aligned institutions.

  • Project Supervision: He has guided numerous students in real-time application development and research projects, often converting classroom concepts into publishable work and conference presentations.

  • Academic Leadership: Arul Selvam’s contributions as an organizer of seminars and workshops on topics like Intellectual Property Rights and Research Methodology further underscore his commitment to institutional and faculty development.

  • Technical Writing and Publishing: His papers cover a spectrum of topics, from deep learning applications in medicine to NLP-based stock market prediction, reflecting a cross-domain application of computational intelligence.

NOTABLE PUBLICATIONS

"Association of intravenous ketamine with change in depressive symptoms in a large integrated health care system" 

  • Author: Li Kevin․J．; Slama Natalie․E．; Chen Ingrid; Lee Catherine; Ridout Samuel; Hamilton Steven․P．; Iturralde Esti
  • Journal: Psychiatry Research
  • Year: 2025