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

Steven Weidong Su| Distributed system| Top Researcher Award

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Prof. Steven Weidong Su | Distributed system | Top Researcher Award

Professor, Shandong First Medical University,China📝

Professor Steven Su is a leading researcher and educator in the fields of medical AI, robotics, and systems control. With a Ph.D. from ANU, he has held significant academic and leadership roles at institutions like Shandong First Medical University and UTS. He is recognized for his work on AI Exoskeletons for stroke rehabilitation and the development of novel medical sensors. As a senior member of IEEE and an editor for several prestigious journals, he continues to shape the future of engineering and medical technologies through his teaching, research, and professional contributions.

Profile

Google Scholar

Education 🎓

Professor Steven Su holds a Ph.D. in Statistical Optimisation and its Application in Modelling and Control from the prestigious Australian National University (ANU). He completed both his Master of Engineering in Automation Engineering and Bachelor of Engineering in Automation at the Harbin Institute of Technology in China. His advanced education in engineering and optimisation theory has laid the foundation for his distinguished career in research and teaching, where he has made significant contributions to fields such as robotics, medical AI, and systems control.

Professional Experience 💼

Professor Steven Su has over 15 years of experience in academia, with a strong focus on teaching, research, and leadership in the fields of engineering and medical AI. He currently serves as the Associate Dean (Teaching and Education) at the College of Medical Artificial Intelligence and Big Data at Shandong First Medical University, overseeing academic programs and research leadership for 3,000 students and 130 faculty members. Previously, he was a Senior Lecturer and Associate Professor at the University of Technology Sydney (UTS), where he directed postgraduate programs and developed cutting-edge projects, including AI-powered exoskeletons for stroke rehabilitation. His leadership extends to roles such as Chief Technical Officer at Sydney Robotics Academy, guiding robotics competitions and innovation. With a background in process modeling and control, he has held roles at the University of New South Wales and contributed significantly to medical and industrial research projects.

Research Interests 🔬

Professor Steven Su’s research focuses on the integration of advanced engineering principles with medical applications, particularly in wearable and portable monitoring devices, robotic modeling and control, and machine learning. His work explores the potential of smart sensing and the Internet of Things (IoT) to develop innovative solutions for healthcare, including rehabilitation robotics, AI-powered medical devices, and systems for personalized health monitoring. He is particularly interested in the modeling and control of systems used in wearable technologies, with a strong emphasis on medical AI and its application in rehabilitation robotics. Additionally, his research delves into biomedical signal processing and the development of intelligent systems for clinical environments. Professor Su has contributed to the advancement of AI-exoskeletons and other assistive technologies aimed at improving patient care, particularly for stroke survivors. His research bridges the gap between engineering, medical science, and technology, with a focus on improving healthcare outcomes.

Author Metrics 🏆

  • Publications: Professor Su has authored numerous papers in journals like Int. J. Circuit Theory & Applications, International Journal of Advanced Robotic Systems, and Applied Soft Computing.
  • Citations: His work on robotics, AI, and medical technologies has been cited widely within the research community.
  • Editorial Roles: Associate Editor for International Journal of Advanced Robotic Systems (2017-2020), Editorial Member for Applied Soft Computing (2014-2017), and Editor for Int. J. Circuit Theory & Applications (2021-present).

Publications Top Notes 📚

  1. Backstepping control of electro-hydraulic system based on extended-state-observer with plant dynamics largely unknown
    • Authors: Q Guo, Y Zhang, BG Celler, SW Su
    • Journal: IEEE Transactions on Industrial Electronics
    • Volume: 63, Issue: 11
    • Pages: 6909-6920
    • Year: 2016
    • Citation Count: 237
  2. Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine
    • Authors: H Candra, M Yuwono, R Chai, A Handojoseno, I Elamvazuthi, HT Nguyen, …
    • Conference: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
    • Year: 2015
    • Citation Count: 179
  3. Nonlinear modeling and control of human heart rate response during exercise with various work load intensities
    • Authors: TM Cheng, AV Savkin, BG Celler, SW Su, L Wang
    • Journal: IEEE Transactions on Biomedical Engineering
    • Volume: 55, Issue: 11
    • Pages: 2499-2508
    • Year: 2008
    • Citation Count: 179
  4. Identification and control for heart rate regulation during treadmill exercise
    • Authors: SW Su, L Wang, BG Celler, AV Savkin, Y Guo
    • Journal: IEEE Transactions on Biomedical Engineering
    • Volume: 54, Issue: 7
    • Pages: 1238-1246
    • Year: 2007
    • Citation Count: 167
  5. Neural adaptive backstepping control of a robotic manipulator with prescribed performance constraint
    • Authors: Q Guo, Y Zhang, BG Celler, SW Su
    • Journal: IEEE Transactions on Neural Networks and Learning Systems
    • Volume: 30, Issue: 12
    • Pages: 3572-3583
    • Year: 2018
    • Citation Count: 152
  6. Unsupervised machine-learning method for improving the performance of ambulatory fall-detection systems
    • Authors: M Yuwono, BD Moulton, SW Su, BG Celler, HT Nguyen
    • Journal: Biomedical Engineering Online
    • Volume: 11, Article Number: 1-11
    • Year: 2012 (Note: This seems to be a 2012 publication based on the context of other similar works)
    • Citation Count: 109

Conclusion

Professor Steven Weidong Su’s qualifications, leadership, and contributions to medical AI and robotics make him a strong contender for the Top Researcher Award. His pioneering work in integrating engineering with healthcare technologies—particularly in stroke rehabilitation and wearable health devices—has the potential to transform healthcare systems globally. With his track record of high-impact publications, leadership roles in academia, and dedication to improving patient outcomes through technological advancements, he has demonstrated exceptional academic and professional achievements.