Dr. Prabhavathy M | Disease Diagnosis |Best Researcher Award

Dr.Prabhavathy M,Coimbatore Institute of technology,India

Dr. Prabhavathy M. is a distinguished academic and researcher at the Coimbatore Institute of Technology, India. With extensive expertise in engineering and technology, she is known for her contributions to advanced research and innovation in her field. Dr. Prabhavathy has published numerous papers in renowned journals and actively participates in national and international conferences, where her insights have enriched the academic community. Through her teaching and mentorship, she continues to inspire the next generation of engineers and researchers.

Summary:

Assist. Prof. Dr. Manatee Jitanan is a strong candidate for the Research for Best Researcher Award due to his extensive research in global health, public health education, and the innovative use of technology to promote well-being. His multidisciplinary background, long-standing academic career, and research on contemporary health issues are his key strengths. However, focusing more on specialized topics, enhancing international collaborations, and increasing high-impact journal publications could further bolster his candidacy for global recognition.

Professional Profiles:

Scopus

🎓 Education :

Ph.D. in Instrumentation and Control Engineering (ICE), Anna University (2022)
Awarded with “Highly Commended” honors, the Ph.D. in ICE emphasized innovative control strategies in real-world applications, advancing precision and reliability within engineering systems.,Master of Engineering in Computer Science and Engineering, Anna University, Kumaraguru College of Technology, Coimbatore (2011),Graduated with a CGPA of 8.87, attaining “First Class with Distinction.” Specialized in advanced computer science domains, focusing on algorithm optimization and data management technologies.,Bachelor of Engineering in Computer Science and Engineering, Anna University, Government College of Engineering, Salem (2009),Achieved 79%, securing “First Class with Distinction.” The program emphasized foundational and advanced topics in computer science, developing robust software engineering skills and an analytical mindset.

🏢 Experience:

Associate Professor, Coimbatore Institute of Technology (February 2024 – Present)
As an Associate Professor, responsibilities include curriculum development, leading research projects, and mentoring graduate students. A significant focus has been on integrating real-world applications with academic concepts to enhance student engagement.,Assistant Professor, Coimbatore Institute of Technology (May 2014 – January 2024)
With a decade of service, contributed to curriculum design, research advancements, and student mentorship. Developed instructional strategies that bridge theoretical knowledge with practical, industry-aligned applications.,Assistant Professor, Dhirajlal Gandhi College of Technology, Salem (June 2013 – May 2014),Focused on implementing advanced teaching methods to promote student understanding in key areas of computer science. Collaborated on departmental research initiatives and student assessment innovations

🛠️Skills:

Technical Skills,Proficient in Machine Learning, Artificial Intelligence, Deep Neural Networks, Service-Oriented Architecture, and Data Analytics. Extensive knowledge in the development and application of intelligent systems and data-driven solutions.Instructional Skills
Specialized in Curriculum Design, Technological Instruction, Authentic Assessment Development, and Student Counseling and Motivation. Recognized for an ability to tailor instruction to meet diverse learning needs.Interpersonal Skills
Exhibits strong Interpersonal Communication, Organizational Skills, Time Management, and Problem-Solving abilities. Known for building a collaborative environment that fosters learning and innovation.

Research Focus :

With over 14 years of combined academic and industry experience, research has centered on the practical applications of machine learning and explainable AI. Key projects include:,IoT-Based Health Monitoring in ICUs,Developed a patent-published system for real-time patient monitoring in ICU settings, providing critical insights into patient care and alerting mechanisms for healthcare providers.Automatic Video Summarization Using LSTM Architectures,Conducted pioneering research in video content processing using recurrent neural networks, enhancing the efficiency and effectiveness of media management and data analysis.

🔬Awards:

Outstanding Academic Performance,Graduated with “First Class with Distinction” in both Master’s and Bachelor’s degrees in Computer Science and Engineering, demonstrating a consistent record of academic excellence.,Highly Commended Ph.D. Thesis
Recognized by Anna University for a “Highly Commended” Ph.D. thesis, underscoring the innovative nature and impact of research in Instrumentation and Control Engineering.Published Patents in IoT and AI,Holder of several patents for innovations in IoT, neural network architectures, and AI-driven educational tools, highlighting contributions to technological advancements in education and health monitoring.

Conclusion:

Dr. Jitanan is well-suited for the Research for Best Researcher Award, given his significant contributions to public health and health education, especially in response to current global challenges like COVID-19 and firearm violence. His research has practical applications, particularly in improving the well-being of students and vulnerable populations, which aligns with the criteria of impactful, innovative, and community-driven research. With some areas for growth, particularly in international collaboration and high-impact journal outreach, Dr. Jitanan has the potential to make an even greater mark in his field.

Publications :

Title: Machine Learning-Based Prediction of Cyclic Voltammetry Behavior of Substitution of Zinc and Cobalt in BiFeO3/Bi25FeO40 for Supercapacitor Applications
Authors: Ravichandran, A., Raman, V., Selvaraj, Y., Mohanraj, P., Kuzhandaivel, H.
Source: ACS Omega
Year: 2024
Citations: 0

Title: Evolutionary Discriminative Deep Belief Network Based Diabetic Retinopathy Classification
Authors: Saranya Rubini, S., Sathya, K., Saveeth, R., Prabhavathy, M.
Source: Lecture Notes in Networks and Systems
Year: 2024
Citations: 0

Title: Stroke Prediction Using ML and IoT Based Wearable Device
Authors: Kanagaraj, G., Primya, T., Prabhavathy, M., Saranya, P., Senthilkumar, V.
Source: AIP Conference Proceedings
Year: 2023
Citations: 0

Title: Meat Dish Image Recognizer: Automatic Categorization of Various Meat Dish Images in Malaysia using Deep Learning Techniques
Authors: Sumari, P., Raman, V., Prabhavathy, M., Sheng, K.W., Han, S.W.
Source: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies
Year: 2023
Citations: 0

Title: Detection of Covid 19/Pneumonia by using Machine Learning Techniques
Authors: Thilagavathi, G., Lavanya, G., Prabhavathy, M., Saranya, R.
Source: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies
Year: 2023
Citations: 0

Title: API Calls Based Malware Detection using Behavior Graphs
Authors: Prabhavathy, M., Raman, V., Thilagavathi, G.
Source: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies
Year: 2023
Citations: 0

Title: An Enhanced Deep Learning Technique for Crack Identification in Composite Materials
Authors: Ramanathan, S., Sankareswaran, U.M., Mohanraj, P.
Source: Lecture Notes in Networks and Systems
Year: 2023
Citations: 0

Title: A Novel Approach for Detecting Online Malware Detection LSTM-RNN and GRU Based Recurrent Neural Network in Cloud Environment
Authors: Prabhavathy, M., Uma Maheswari, S., Saveeth, R., Saranya Rubini, S., Surendiran, B.
Source: Lecture Notes in Networks and Systems
Year: 2022
Citations: 3

Title: Prevention of runtime malware injection attack in cloud using unsupervised learning
Authors: Prabhavathy, M., Umamaheswari, S.
Source: Intelligent Automation and Soft Computing
Year: 2022
Citations: 6

Title: Permission and API calls based hybrid machine learning approach for detecting malicious software in android system
Authors: Prabhavathy, M., Maheswari, S.U., Saveeth, R., Rubini, S.S.
Source: Journal of Multiple-Valued Logic and Soft Computing
Year: 2021
Citations: 2

Prabhavathy M | Disease Diagnosis |Best Researcher Award