Dr. ARUL LEENA ROSE P J is an accomplished academician, researcher, and technology expert with 27 years of experience in teaching, research, and academic leadership in the field of Computer Science. She is currently serving as Associate Professor, Department of Computer Science, SRM Institute of Science and Technology (SRMIST), Chennai, where she has also contributed significantly as the Head of the Department of Computer Science and Information Technology.

She began her academic career as a Lecturer in the Department of Computer Science at Kamaraj College, Tuticorin (1998–2000), followed by her role at Prince Shri Venkateshwara College of Arts and Science, Chennai (2000–2005). She later served as Senior Lecturer at Mohamed Sathak College and joined SRM University in 2007, where she has continued her academic and research contributions.

Dr. Arul Leena Rose has demonstrated excellence in teaching, mentoring, curriculum development, academic administration, and research supervision. She has guided 18 M.Phil scholars and produced 5 Ph.D scholars in diverse areas of Computer Science. She is an approved Ph.D Supervisor at SRMIST, Chennai and has contributed as a Doctoral Committee Member, DRCC Member, and Board of Studies Member.

Research Contributions & Publications

Dr. Arul Leena Rose has made significant contributions in the areas of:

• Artificial Intelligence and Machine Learning
• Deep Learning and Computer Vision
• Image Processing
• Cyber Security and IoT
• Cloud Computing
• Educational Data Mining
• Medical Image Analysis
• Optimization Techniques

She has published 36+ research papers in reputed international journals, including several publications indexed in Scopus and Web of Science. Her research work includes applications of machine learning for tuberculosis detection, plant disease classification, dyslexia prediction, cloud-based learning analytics, intrusion detection systems, and intelligent security frameworks.

Her notable research contributions include:

• Deep learning-based disease detection using medical images
• Machine learning approaches for student risk prediction in virtual learning environments
• AI-driven dyslexia prediction models
• Secure IoT and Software Defined Networking (SDN) frameworks
• Continual learning approaches for agricultural disease detection

Her publications in journals such as International Journal of Artificial Intelligence, International Journal of Advanced Computer Science and Applications, Journal of Theoretical and Applied Information Technology, and other indexed journals demonstrate her consistent contribution to scientific research.

Patents & Innovation

Dr. Arul Leena Rose has actively contributed to innovation through intellectual property development. She has published and filed multiple patents in the areas of Artificial Intelligence, healthcare technology, education technology, and intelligent systems.

Her patent contributions include:

• Blended Teaching and Learning Management Platform for Primary School Children during Epidemic Period – Australian Patent
• Speech Recognition Services using Artificial Intelligence System and Method Thereof – Indian Patent
• Novel Ensemble Meta Model for Predicting Higher Education Students at Risk Using Machine Learning Algorithms – Indian Patent
• Hybrid Deep Learning System for Predictive Maintenance Through Thermal Imaging – Indian Patent

She has also received granted patents including:

• Agri Drone
• Water Dispenser with Touch-Free Sensor

Research Guidance & Academic Leadership

Dr. Arul Leena Rose has played a vital role in nurturing research scholars and promoting innovation. She has supervised doctoral research in emerging areas including:

• Federated Learning and IoT Security
• Deep Learning for Medical Diagnosis
• Dyslexia Prediction using AI Models
• Plant Disease Detection using Continual Learning
• Machine Learning Applications in Higher Education

She has also served as a reviewer for several national and international journals, contributing to quality enhancement in scientific publications.

Conferences, Workshops & Professional Development

She has actively participated in numerous national and international conferences, seminars, workshops, and faculty development programmes. She has presented research papers in international conferences on Artificial Intelligence, Machine Learning, Image Processing, Cloud Computing, and Cyber Security.

Her academic engagement includes participation in:

• International Conferences on Machine Learning and Computational Intelligence
• Conferences on AI-based Healthcare Applications
• Research Conferences on Cloud Computing and IoT Security
• Faculty Development Programmes and technical training programmes

Awards & Achievements

Dr. Arul Leena Rose has received several recognitions for her excellence in teaching and research, including:

• Best Paper Award – International E-Conference on Scientific Research in Multidisciplinary Approach (ICSRMA), 2022
• Best Poster Presentation Award – DPRCC 2022, SRMIST
• Certificate of Appreciation for Teaching and Research Excellence – SRMIST (2021–2022)
• Certificate of Appreciation for Teaching and Research Excellence – SRMIST (2014–2015)

Eligibility for Best Academician Award 

Dr. ARUL LEENA ROSE P J is highly eligible for the Best Academician Award – Scientific Laurels in recognition of her outstanding contributions to academics, research, and innovation. Her eligibility is supported by:

• Over 27 years of distinguished academic experience
• Significant contribution to Computer Science education and research
• 36+ international journal publications with Scopus/Web of Science indexed works
• Successful supervision of Ph.D and M.Phil scholars
• Multiple patents in Artificial Intelligence and emerging technologies
• Contributions to interdisciplinary research in healthcare, education, agriculture, and cybersecurity
• Active participation as reviewer, research mentor, and academic leader
• Consistent achievements in teaching excellence and scientific innovation

Her sustained dedication towards advancing technology-driven research, mentoring young researchers, and strengthening academic excellence makes her a deserving candidate for the Best Academician Award – Scientific Laurels.