Dr. Allam Jayaprakash

Dr. Allam Jayaprakash completed his PhD from the National Institute of Technology, Rourkela, with a commendable CGPA of 8.97, specializing in Artificial Intelligence. His research, centered on Artificial Intelligence, has resulted in a thesis submitted on August 12, 2023. His academic journey includes a Master of Technology in Digital Electronics and Communication Systems from GMRIT, JNTU Kakinada, and a Bachelor of Technology in Electronics and Communication Engineering from GITAS, JNTU Kakinada.

Dr. Jayaprakash has made significant contributions to the field, particularly in the detection of power quality disturbances using machine learning, as explored in his master's thesis titled "A New Approach to Time–Time Transform and Pattern Recognition of Non-stationary Signal Using Fuzzy Wavelet Neural Network."

In his professional career, he has held roles such as Senior Assistant Professor at VIT Vellore and Senior Research Fellow and Machine Learning Algorithms Developer at NIT Rourkela. His notable project involvement includes the development of an advanced Holter Monitor with extended recording and episode detection.

Furthermore, Dr. Jayaprakash has engaged in consultancy work as an advisor for MEDTL, Cyprus, focusing on machine and deep learning techniques for web-based ECG signal processing graphical user interface (GUI).

His prolific research is evident in numerous publications, including journal articles, book chapters, and conference papers. Notably, he holds a patent for "A Mobile-Based Cardiac Health Monitoring System Using Deep Residual Network." His research spans diverse topics, such as multi-class epileptic seizure recognition, the detection of cardiac abnormalities in ECG signals, and the application of deep learning techniques in various medical contexts.

Dr. Jayaprakash's expertise extends to being a regular reviewer for prestigious journals like PLOS ONE, IEEE Access, IEEE Transactions on Cybernetics, IETE Journal of Research, Biomedical Signal Processing and Control, and Cardiovascular Technology. With proficiency in Python, LaTeX, OpenOffice, Linux, and Microsoft Windows, and communication skills demonstrated through oral presentations and expert talks, Dr. Jayaprakash is a dynamic researcher making significant contributions to the field of Artificial Intelligence and its applications in healthcare.