Electronics and Communication Engineering > Dr. Sibghatullah Inyatullah Khan

Workshop and manufacturing Processes

Dr. Sibghatullah Inyatullah Khan

Associate Professor & Asociate Dean Research.
JNTUH ID: 24-07-2018
AICTE ID: 4502-180416-121107

At Sreenidhi Institute of Science and Technology we have always endeavoured for excellence, aiming to equip the engineers of tomorrow with the skills and exposure to be forefront of their field

Educational Qualifications

PhD

BN College of Engineering

M.E

BN College of Engineering Pusad, SGB Amravati University

B.E

BN College of Engineering Pusad, SGB Amravati University

Professional Experience

15 Years Exprience

Associate Professor & Associate Dean Research.

Teaching Subjects

01

Electronic Devices & Circuits

02

Programmable Logic Devices

03

Linear & Digital Integrated Circuits and Applications

04

Linear Integrated Circuits, Signals & System

05

Computer Programming & Numerical methods

06

Analog Communication

07

Digital Communication

08

Digital and Wireless Communication

09

Digital Signal Processing

10

Electronic Commerce

11

Internet of Things and Applications

Guided Publications & Projects

Automated Eye Movement Classification based on EMG of EOM Signals using FBSE-EWT Technique” IEEE Transactions of Human Machine Systems April 2023 Vol 53

Empirical Wavelet Transform-Based Framework for Diagnosis of Epilepsy Using EEG Signals” Book Chapter in Book titled “AI-Enabled Smart Healthcare Using Biomedical Signals” Publihser IGI Global, May 2022

Arrhythmia Classification using Multirate Processing MetaheuristicOptimization and Variational Mode Decomposition” Journal of King Saud University - Computer and Information Sciences, Elsevier, ISSN 1319-1578

Signal-Piloted Processing Metaheuristic Optimization and Wavelet Decomposition based Elucidation of Arrhythmia for Mobile Healthcare” Biocybernetics and Biomedical Engineering, Elsevier, Volume 42, Issue 2, April–June 2022, ISSN 0208-5216

Automated classification of Valvular Heart Diseases using FBSE-EWT and PSR based geometrical features” Biomedical Signal Processing and Control, Elsevier, Volume 73, 2022, 103445, ISSN 1746-8094

Derived vectorcardiogram based automated detection of posterior myocardial infarction using FBSE-EWT technique”, Biomedical Signal Processing and Control, Elsevier, Volume 70, 2021, 103051, ISSN 1746-8094

Automated classification of lung sound signals based on empirical mode decomposition,” Expert Systems with Applications Elsevier, Volume 184, 2021, 115456, ISSN 0957- 4174

Automated Detection of Posterior Myocardial Infarction from Vectorcardiogram Signals Using Fourier–Bessel Series Expansion Based Empirical Wavelet Transform” in IEEE Sensors Letters, vol. 5, no. 5, pp. 1-4, May 2021, Art no. 7001604

Automated Glaucoma Detection from Fundus Images using Wavelet-Based Denoising and Machine learning”, Concurrent Engineering- Research and Applications (CERA), SAGE publications, July 2021

Analysis of Normal and Adventitious Lung Sound Signals Using Empirical Mode Decomposition and Central Tendency Measure”, Traitement du Signal, International Information and Engineering Technology Association (IIETA). Vol. 38, No. 3, June, 2021

Design of Energy and EDP Efficient 1- bit Full Subtractor Based Divider Circuits for Computing Systems” (In-press) International Journal of Systems of System Engineering, Inderscience publishers doi: 10.1504/IJSSE.2021.10041899

Area and Power Efficient Pipeline FFT Architecture for QPSK-OFDM,” International Journal of Advanced Trends in Computer Science and Engineering, vol. 8, no. 3, pp.909-912, June 2019.

Preliminary Diagnosis of Coronary Artery Disease from Human Heart Sounds: A Signal Processing Prospective,” International Journalof Advanced Trends in Computer Science and Engineering, vol.8, no.3, pp.864-873, June2019.

Preliminary Detection of Lung Diseases in Pediatric Population using Soft Computing,” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume 8 Issue 3Pages2731-2735

Study of Adventitious Lung Sounds of Paediatric Population using Artificial Neural Network Approach,” International Journal of Current Research & Review, vol. 9, issue.9, pp. 37-45, May 2017.

Application of Signal Processing Techniques for Preliminary Detection of adventitious Lung sounds in Pediatric Population using Electronic Stethoscope” International Conference on Big Data Analytics and Computational Intelligence (ICBDACI 2017), Chirala,India. (Proceedings in IEEE Xplore indexed by Scopus).

Study of Effectiveness of Stockwell Transform for Detection of Coronary Artery Disease from Heart Sounds” 2nd International Conference on Contemporary Computing and Informatics (IC3I 2016), Amity University, Noida, India 14 - 17 December 2016, (Proceedings in IEEE Xplore, indexed by Scopus).

Study of Electronic Stethoscope as Prospective Analysis Tool for Cardiac Sounds” 2016 International Conference on Smart Trends in Information Technology and Computer Communications at Jaipur India, (Proceedings in IEEE Xplore, indexed by Scopus).

Classification of pulmonary crackles and pleural friction rubs using MFCC statistical parameters” 2016 International Conference on Advances in Computing, Communications, and Informatics (ICACCI), Jaipur, India, (Proceedings in IEEE Xplore, indexed by Scopus).

Investigation of some features for preliminary detection of coronary artery disease using electronic stethoscope” 2016 International Conference on Emerging Trends in Communication Dehradun, India(Proceedings in Springer CCIS, volume 628, Singapore, indexed by Scopus).

Cell phone-based remote early detection of respiratory disorders for rural children using modified stethoscope” 2012 International Conference on Communication Systems and Network Technologies 11-12 May 2012 at Rajkot (Proceedings in IEEE Xplore, indexed by Scopus).

Preliminary Detection of Respiratory Disorders for Rural Children using Modified Stethoscope” IJCA, Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012) Nagpur, India.

Research Area of Interest

Pursue a personal research programme consistent with the research priorities of the School of Science & Technology that increases the global visibility and reputation of the University.

Secure external research funding; supervise and manage research projects.

Publish the outcomes of research in outlets of international standing.

Attend and contribute to the organization of major international conferences; supervise postgraduate students at Masters and Doctoral levels.

Conduct research in a particular field of knowledge; publish findings in professional journals, books and/or electronic media.

Attend and contribute to the organization of major international conferences; supervise postgraduate students at Masters and Doctoral levels.

Patents

Health care framework for preliminary diagnosis of diseases for the rural population using a cell phone

Poongodi Manoharan, Sibghatullah I. Khan, ANDYA VYOMAL NAISHADH KUMAR, Gobinda Prasad Acharya, V Jayaprakasan, “AN IOT-BASED ENVIRONMENT MONITORING SYSTEM AND METHOD THEREOF

Poongodi Manoharan, Sibghatullah I. Khan Vinod Madhaorao Thakare, Ganjikunta Ganesh Kumar, Yerraboina Sreenivasulu “A RESPIRATORY MASK ASSEMBLY WITH CONTINUOUS POSITIVE AIRWAY PRESSURE (CPAP) EQUIPMENT” Application number: 202221010903 Publication number: 11/2022

Journals & Conferences

IEEE Transactions on Information Technology in Biomedicine

Computers in Biology and Medicine (Elsevier)

Biomedical Signal Processing and Control (Elesvier)

Journal of Healthcare Engineering (Hindawi)

Public Library of Open Sciences One (PLOS ONE)

International Journal of Artificial Intelligence (IJ-AI)

8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2021)

TELKOMNIKA Telecommunication Computing Electronics and Control Journal

International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)