Open to collaboration

Dr. Abdullah Bin Queyam

Professor of Biomedical Instrumentation

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

Download PDF Get in touch

14+Years in academia

21+Publications

2+Research projects

24+Workshops & FDPs

4+Awards

Professional summary

Professor of Biomedical Instrumentation at Banasthali Vidyapith (School of Automation), with a Ph.D. in Electronics Instrumentation and Control. Research focuses on biomedical instrumentation, virtual instrumentation, portable healthcare instrumentation, medical signal processing, building affordable, real-time systems for healthcare. Teaches Embedded Systems, Digital Electronics, Digital Image Processing.

Research interests

Biomedical InstrumentationVirtual InstrumentationPortable Healthcare InstrumentationMedical Signal ProcessingPattern RecognitionSignal DecompositionWeb Development

Professional experience

Assistant Professor
June 2018 - PresentCurrent
Banasthali Vidyapith, Rajasthan, INDIASchool 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, INDIAElectronics 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, INDIAElectronics and Communication Engineering
- Teaching Embedded Electronics and Instrumentation
- Establishing biomedical laboratory
- Teaching human physiology measurements
Placement Leader
June 2012 - June 2013
Thapar University, Punjab, INDIACenter for Industrial Liaison & Placement (CILP)
- Arranged campus interviews for student placements
- Coordinated with Public and Private sector organizations
- Facilitated Industry/Institute Interaction Programmes

Education

Ph.D. in Electronics Instrumentation and Control

2014 - 2018

NIT Jalandhar, INDIA

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

Advisor(s): Dr. Sharvan Kumar Pahuja and Dr. Dilbag Singh

M.E. in Electronics Instrumentation and Control

2011 - 2013

Thapar University, INDIA

Thesis: Stress Detection of Automobile Drivers using physiological parameters

Advisor(s): Dr. Mandeep Singh

B.Tech. in Electronics Instrumentation and Control

2006 - 2010

RTU, Kota, INDIA

Research projects

2016-2017

Feto-Maternal Monitoring System

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.

2011-2013

Stress Detection of Automobile Drivers

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

Book chapter
Intelligent Automation System Integration in Mobile and Industrial Robotics for Enhanced Performance and EfficiencyAbdullah Bin Queyam, Ramesh Kumar, Anupma Gupta, Vipin KumarHandbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence, pp. 47-74, John Wiley & Sons, Inc.July 2025SCOPUS INDEXING
Book chapter
Advancement of a Transmission System with Novel Methods and ToolsAbdullah Bin Queyam, Pawan Kumar Pathak, Ramesh Kumar, Mohammad AljaidiNanotechnology Applications for Industry 4.0, pp. 169-192, CRC PressJuly 2025SCOPUS INDEXING
Conference
Enhancing communication for disabled individuals with an eye-blink operated virtual keyboardDeepal Raghav, Deepali Shekhawat, Abdullah Bin Queyam, Ramesh Kumar, Manish Kumar Singla6th International Conference on Recent Trends in Communication & Intelligent Systems (ICRTCIS 2025)July 2025Full text
Conference
Machine learning pipeline for bearing fault diagnosis using statistical and spectral featuresAbdullah Bin Queyam, Mohammad Aljaidi, Neeraj Kumar Bhoi, Ramesh Kumar, Manish Kumar Singla6th International Conference on Recent Trends in Communication & Intelligent Systems (ICRTCIS 2025)July 2025Full text
Conference
Adaptive MPC and nonlinear tracking control for non-holonomic robots in cluttered spacesAbdullah Bin Queyam, Ramesh Kumar, Manish Kumar Singla, EI-Sayed M EI-Kenawy, Marwa M Eid6th International Conference on Recent Trends in Communication & Intelligent Systems (ICRTCIS 2025)July 2025Full text
Journal
Optimizing Efficiency and Performance in a Rankine Cycle Power Plant AnalysisRamesh Kumar, Abdullah Bin Queyam, Manish Kumar Singla, Mishra Dipak KumarEnergy EngineeringMarch 2025Full-text available

Browse with abstracts

Skills & languages

Technical

JavaScript/ReactPythonLabVIEW/MATLABHTML/PHP/CSSMIT-AppInventor

Professional

Effective communicationTeam playerStrong problem solverGood time management

Teaching areas

Embedded SystemsDigital ElectronicsDigital Image ProcessingInternet of ThingsBiomedical InstrumentationVirtual Instrumentation

Languages

EnglishFull business proficiency

HindiNative proficiency

Honors & awards

MHRD Fellowship for Ph.D.Government of India

2014-2018

TEQIP-II Project GrantMHRD · For project titled 'Feto-Maternal Monitoring System'