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Dr. Abdullah Bin Queyam

Professor of Biomedical Instrumentation

abdullahbinqueyam@gmail.com+91 9815810631www.inkredibledoc.comBanasthali Vidyapith, Rajasthan, INDIA
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Abdullah

Professional Summary

Professor of Biomedical Instrumentation with a Ph.D. in Electronics Instrumentation and Control and extensive experience in teaching digital electronics. Published researcher in biomedical instrumentation with expertise in Biomedical Instrumentation, Virtual Instrumentation, Portable Healthcare Instrumentation. Skilled in developing feto-maternal monitoring system and other healthcare solutions.

Professional Experience

Assistant Professor
June 2018 - Present

Banasthali Vidyapith, Rajasthan, INDIA

School of Automation

  • Teaching Digital Electronics, Biomedical Instrumentation, Embedded Systems and Static Web Development
  • Developing and enhancing Laboratories in the Department
  • Organizing workshops on Python and Machine Learning
Research Scholar
June 2014 - June 2018

NIT, Jalandhar, Punjab, INDIA

Electronics Instrumentation and Control Engineering

  • Research and Development of low-cost feto-maternal wellbeing monitoring device
  • Implemented AI and ML algorithms for health monitoring
  • Teaching Assistant responsibilities
Assistant Professor
June 2013 - June 2014

Mewar University, Rajasthan, INDIA

Electronics and Communication Engineering

  • Teaching Embedded Electronics and Instrumentation
  • Establishing biomedical laboratory
  • Teaching human physiology measurements
Placement Leader
June 2012 - June 2013

Thapar University, Punjab, INDIA

Center for Industrial Liaison & Placement (CILP)

  • Arranged campus interviews for student placements
  • Coordinated with Public and Private sector organizations
  • Facilitated Industry/Institute Interaction Programmes

Research Projects

Feto-Maternal Monitoring System
2016-2017

AICTE, GoI Funded Project

Designed and developed a real-time multi-parameter monitoring system at an affordable cost which provides a means of feto-maternal surveillance in high-risk pregnancies. Implemented health telemonitoring using smartphone applications and Internet/Cloud services.

Stress Detection of Automobile Drivers
2011-2013

Thapar University

Designed and developed a stress level prediction algorithm for automobile drivers using neural networks by monitoring physiological parameters like ECG, EMG, GSR and Respiration Rate.

Publications

journalOptimizing Efficiency and Performance in a Rankine Cycle Power Plant Analysis

Ramesh Kumar, Abdullah Bin Queyam, Manish Kumar Singla, Mishra Dipak Kumar

Energy Engineering

March 2025

journalLabVIEW-Enabled Synthetic Signal for Empowering Fetal-Maternal Healthcare

Abdullah Bin Queyam, Ramesh Kumar, Ratneshwar Kumar Ratnesh, Rajeev Kumar Chauhan

ECS Journal of Solid State Science and Technology

May 2024

conferenceSimulation and Analysis of Heart Disease Predictor Using Machine Learning Techniques

Abdullah Bin Queyam, Ashutosh Dixit, Indubhushan Kumar, Sandeep Gupta

2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)

March 2024

conferenceA Non-Invasive Multi-Parameter System for Feto-Maternal Well-Being Assessment and Telemonitoring

Meghal Patel, Abdullah Bin Queyam

2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

March 2024

journalDoppler Ultrasound Based Non-Invasive Heart Rate Tele-monitoring System for Wellbeing Assessment

A. B. Queyam, S. K. Pahuja, and D. Singh

International Journal of Intelligent Systems and Applications (IJISA), 10(12), pp. 69-79

December 2018

SCOPUS INDEXING

conferenceAn IoT based Multi-Parameter Data Acquisition System for Efficient Bio-Telemonitoring of Pregnant Women at Home

A. B. Queyam, Ramesh Kumar Meena, S. K. Pahuja and D. Singh

8th International Conference CONFLUENCE–2018 on Cloud Computing, Data Science & Engineering

January 2018

conferenceAn Experimental validation of Bio-impedance Technique for medical & non-medical Application

Ramesh Kumar, Sharvan Kumar, A. B. Queyam and A. Sengupta

8th International Conference CONFLUENCE–2018 on Cloud Computing, Data Science & Engineering

January 2018

journalQuantification of Feto-Maternal Heart Rate from Abdominal ECG Signal Using Empirical Mode Decomposition for Heart Rate Variability Analysis

A. B. Queyam, S. K. Pahuja, and D. Singh

MDPI Technologies, 5(4), pp. 68

October 2017

WEB OF SCIENCE, ESCI

Book ChapterElectrical Impedance Tomography: A Real Time Medical Imaging Technique

R. Kumar, S. K. Pahuja, A. Sengupta, A. B. Queyam

In: Handbook of Research on Advanced Concepts in Real-Time Image and Video Processing

IGI Global Publisher

Chapter 6, pp. 130-152

August 2017

SCOPUS INDEXING

journalNon-Invasive Feto-Maternal Well-Being Monitoring: A Review of Methods

A. B. Queyam, S. K. Pahuja, and D. Singh

Journal of Engineering Science and Technology Review (JESTR), 6(5), pp. 7-14

March 2017

UGC APPROVED, SCOPUS INDEXING

journalSimulation and Analysis of Umbilical Blood Flow using Markov-based Mathematical Model

A. B. Queyam, S. K. Pahuja, and D. Singh

International Journal of Intelligent Systems and Applications (IJISA), 9(3), pp. 41-50

March 2017

UGC APPROVED, SCOPUS INDEXING

journalLabVIEW-based Virtual Instrument for Simulation of Doppler Blood Flow Velocimetry of Umbilical Artery

A. B. Queyam, S. K. Pahuja, and D. Singh

Journal of Instrumentation Technology & Innovation (JoITI), 6(1), pp. 1-9

February 2016

UGC APPROVED

conferenceFetalwell-being Prediction Using Simulation of Markov Based Mathematical Model

A. B. Queyam, S.K.Pahuja, D.Singh

APPICON 2015, AIIMS Jodhpur

Indian Journal of Physiology and Pharmacology - Supplement, 59(5)

December 2015

journalA Novel Method of Stress Detection using Physiological Measurements of Automobile Drivers

M. Singh and A. B. Queyam

International Journal of Electronics Engineering (IJEE)(2), pp. 13-20

December 2013

UGC APPROVED, ICI INDEXING

journalCorrelation between Physiological Parameters of Automobile Drivers and Traffic Conditions

M. Singh and A. B. Queyam

International Journal of Electronics Engineering (IJEE)(2), pp. 6-12

December 2013

UGC APPROVED, ICI INDEXING

journalStress Detection in Automobile Drivers using Physiological Parameters: A Review

M. Singh and A. B. Queyam

International Journal of Electronics Engineering (IJEE)(2), pp. 1-5

December 2013

UGC APPROVED, ICI INDEXING

Education

Ph.D. in Electronics Instrumentation and Control

NIT Jalandhar, INDIA

2014 - 2018

Thesis: Designed and developed a real-time multi-parameter monitoring system for feto-maternal surveillance

Advisor(s): Dr. S. K. Pahuja, Dr. D. Singh

M.E. in Electronics Instrumentation and Control

Thapar University, INDIA

2011 - 2013

Thesis: Stress Detection of Automobile Drivers using physiological parameters

B.Tech. in Electronics Instrumentation and Control

RTU, Kota, INDIA

2006 - 2010

Skills

Technical Skills

JavaScript/ReactPythonLabVIEW/MATLABHTML/PHP/CSSMIT-AppInventor

Professional Skills

Effective communicationTeam playerStrong problem solverGood time management

Teaching Areas

Physiological Control SystemsNeural NetworksDigital Image ProcessingFuzzy Logic ControlBiomedical InstrumentationVirtual Instrumentation

Research Interests

Biomedical InstrumentationVirtual InstrumentationPortable Healthcare InstrumentationMedical Signal ProcessingPattern RecognitionSignal DecompositionWeb Development

Honors & Awards

MHRD Fellowship for Ph.D.2014-2018
Government of India
TEQIP-II Project Grant2016-2017
MHRDFor project titled 'Feto-Maternal Monitoring System'
MHRD Fellowship for M.E.2011-2013
Government of India
GATE Qualified2010
AIR-863

Languages

EnglishFull business proficiency
HindiNative proficiency

Extracurricular Activities

  • Placement Leader of the THAPAR PLACEMENT COUNCIL 2013
  • Participated in Summer Sports Coaching Camp in Cricket
  • Winner of Basketball 'Senior Group' Team

Workshops

Organized

  • Workshop on Python and its Application
    School of Automation, Banasthali Vidyapith2 daysJAN. 2020
  • Workshop on Python in Machine Learning
    School of Automation, Banasthali Vidyapith4 daysDEC. 2019
  • Training Programme on Emerging Trends in Science Education: Robotics and Automation
    School of Automation, Banasthali Vidyapith1 weekMAR. 2019
  • Short Term Course on RTICE
    NIT Jalandhar1 weekDEC. 2014
  • Workshop on Android Technology
    Mewar University2 daysDEC. 2013

Attended

  • Short Term Course on Artificial Intelligence
    Centre for AI, Banasthali Vidyapith1 weekJAN. 2020
  • FDP on Innovation and Research in AI
    Centre for AI, Banasthali Vidyapith1 weekOCT. 2019
  • Induction Training Programme (3rd)
    Banasthali Vidyapith1 monthDEC. 2018
  • GIAN Summer-Term Course on Medical Textiles and Tissue Engineering
    NIT Jalandhar1 weekJUL. 2016
  • RTSEKM
    NIT Jalandhar1 weekJUN. 2015
  • Summer School on Image Processing (SSIP)
    NIT Kurukshetra1 weekJUN. 2015
  • Short Term Course on Electronics & Communication System Design
    NIT Jalandhar1 weekMAY. 2015
  • Training Program on Emerging Trends in ECE
    NIT Jalandhar1 weekDEC. 2014
  • RTICE (Attended)
    NIT Jalandhar1 weekDEC. 2014
  • Workshop on Filter Media Characterization
    NIT Jalandhar1 dayDEC. 2014
  • ISTE Workshop on Signals and Systems
    IIT Kharagpur2 weeksJAN. 2014
  • Faculty Training Program on NuMicro ARM Cortex-M0
    UIET, Punjab University2 daysJAN. 2014
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