Dr. Allam Jaya Prakash

Designation : Assistant Professor Senior Grade 1
School / Centre : School of Computer Science and Engineering
Department : IoT

Educational Details

JNTU Kakinada

Bachelor of Technology
Electronics and Communication Engineering
Graduated in 2009

JNTU Kakinada

Master of Technology
Digital Electronics and Communication Systems
Graduated in 2012

NIT Rourkela

Ph.D.
Artificial Intelligence
Graduated in 2024

Post Doctoral Experiences

Research Details

Areas of Specialization
  • Deep Learning
  • Machine Learning
  • Biomedical Signal and Image Processing
  • and Cyber Security

: 0000-0001-9517-8829
: https://www.scopus.com/authid/detail.uri?authorId=57215046766
: https://scholar.google.com/citations?user=-GplJh4AAAAJ&hl=en
: 13
: 14

Patent Published Details

Title Application No.
A MOBILE BASED CARDIAC HEALTH MONITORING SYSTEM USING DEEP RESIDUAL NETWORK 202231071330

Books / Book Chapters Published Details

Title Publisher Published Year
A system for automatic cardiac arrhythmia recognition using electrocardiogram signal Bioelectronics and Medical Device, Elsevier 2019
Customized deep learning algorithm for drowsiness detection using single-channel EEG signal Artificial Intelligence-Based Brain- Computer Interface, Elsevier 2022
Patient-Specific ECG Beat Classification using EMD and Deep Learning based Technique Advanced Methods in Biomedical Signal Processing and Analysis, Elsevier 2023
Empirical Wavelet Transform and Deep Learning based Technique for ECG Beat Detection Advanced Methods in Biomedical Signal Processing and Analysis, Elsevier 2023
An Automated Diagnosis System for Cardiac Arrhythmia Classification CRC Press (Taylor & Francis Group) 2021

Awards & Recognitions Details

  • Editorial board member in BMC Biomedical Engineering
  • Received junior research fellowship in IMPRINT-1 (2017-2021)
  • Best paper award in ICMACC-2022 IEEE Conference
  • Received GATE-JRF Fellowship (2010-2012)
  • Qualified in GATE-2010, 12, and 13

International Collaborations

  • Prof. UC Rajendra Acharya, University of Southern Queensland, Australia
  • Prof. Pawel Plawiak, Cracow University of Technology, Warszawska 24, 31-155 Krakow, Poland
  • Prof. Mohamed Hammad, Menoufia University, Egypt
  • Prof. RYSZARD TADEUSIEWICZ, AGH University of Science and Technology al.A.Mickiewicza30, 30-059Cracow, Poland
  • Prof. Ozal Yildirim, Department of Software Engineering, Firat University, Elazig, Turkey

Industry Collaborations

  • Worked as an advisor on the board for MEDTL, Cyprus, for the Machine & Deep learning techniques developer in web-based ECG signal processing graphical user interface (GUI).

Other Information

Editorial Experience : Editorial board member in BMC Biomedical Engineering