WORK EXPERIENCE
Assistant Professor at Banasthali Vidyapith Rajasthan, INDIA | June 2018 - Present
  • Department | School of Automation
  • Nature of Job | Teaching and Academic
  • Responsibilities | Taught students applied knowledge in the areas of Digital Electronics, Biomedical Instrumentation, Embedded Systems and Static Web Development. Involved with development and enhancement of Laboratories in the Department.
Research Scholar at NIT, Jalandhar Punjab, INDIA | June 2014 - June 2018
  • Department | Electronics Instrumentation and Control Engineering
  • Nature of Job | Research Work and Teaching Assistant
  • Responsibilities | Research and Development of a low-cost feto-maternal wellbeing monitoring device using AI and ML algorithms.
Assistant Professor at Mewar University Rajasthan, INDIA | June 2013 - June 2014
  • Department | Electronics and Communication Engineering
  • Nature of Job | Teaching and Academic
  • Responsibilities | Taught undergraduate students as well as postgraduate students applied knowledge in the areas of Embedded Electronics, Instrumentation and Research. Established biomedical laboratory and taught students about human physiology and their measurements.
Placement Leader at Thapar University Punjab, INDIA | June 2012 - June 2013
  • Department | | Center for Industrial Liasion & Placement (CILP)
  • Nature of Job | Arranges campus interviews for placement of final year students of all branches by inviting various Public Sector and Private organization. Closely involved in Industry/Institute Interaction Programmes.
PROJECTS
Feto-Maternal Monitoring System AICTE, GoI Funded Project
  • Ph.D. Research Work
  • Abstract | 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 which greatly improves the reach of pregnant women to the healthcare services and also helps in patient-specific database generation.
Stress Detection of Automobile Drivers Thapar University
  • M.E. Research Work
  • Abstract | In order to minimize human error while driving, we can monitor stress and fatigue by measuring physiological parameters like ElectroCardioGram (ECG), ElectroMyoGram (EMG), Skin Conductance (SC) also called as Galvanic Skin Response (GSR) and Respiration Rate (RR) continuously over a period of time. Hence, designed and developed a stress level prediction algorithm for automobile drivers using neural networks.
BOOK CHAPTERS
  • R. Kumar, S. K. Pahuja, A. Sengupta, A. B. Queyam , “Electrical Impedance Tomography: A Real Time Medical Imaging Technique,” Handbook of Research on Advanced Concepts in Real‑Time Image and Video Processing, IGI Global Publisher, Ch. 6. pp 130‑152, August 2017. [SCOPUS INDEXiNG] AUG. 2017
    • INTERNATIONAL CONFERENCES
  • A. B. Queyam , Ramesh Kumar Meena, S. K. Pahuja and D. Singh, “An IoT based Multi‑Parameter Data Acquisition System for Eff icient Bio‑Telemonitoring of Pregnant Women at Home,” 8th Interna‑ tional Conference CONFLUENCE–2018 on Cloud Computing, Data Science & Engineering, 2018. JAN. 2018
  • Ramesh Kumar, Sharvan Kumar, A. B. Queyam and A. Sengupta “An Experimental validation of Bio‑impedance Technique for medical & non‑medical Application,” 8th International Conference CONFLUENCE–2018 on Cloud Computing, Data Science & Engineering, 2018. JAN. 2018
  • A. B. Queyam, S.K.Pahuja, D.Singh, “Fetalwell‑beingPredictionUsingSimulationofMarkovBased Mathematical Model,” Indian Journal of Physiology and Pharmacology ‑ Supplement, APPICON 2015, AIIMS Jodhpur , 59(5), 2015.DEC. 2015
    • INTERNATIONAL JOURNALS
  • A. B. Queyam, S. K. Pahuja, and D. Singh, “Doppler Ultrasound Based Non‑Invasive Heart Rate Tele‑ monitoring System for Wellbeing Assessment,” International Journal of Intelligent Systems and Ap‑ plications (IJISA), vol. 10, no. 12, pp. 69‑79, Dec. 2018. [SCOPUS INDEXING] DEC. 2018
  • A. B. Queyam, S. K. Pahuja, and D. Singh, “Quantification of Feto‑Maternal Heart Rate from Abdom‑ inal ECG Signal Using Empirical Mode Decomposition for Heart Rate Variability Analysis,” MDPI, Technologies, 5(4), 68, 2017. [WEB OF SCIENCE, ESCI] OCT. 2017
  • A. B. Queyam, S. K. Pahuja, and D. Singh, “Non‑Invasive Feto‑Maternal Well‑Being Monitoring: A Review of Methods,” Journal of Engineering Science and Technology Review (JESTR), vol. 6, no. 5, pp. 7–14, Mar. 2017. [UGC APPROVED, SCOPUS INDEXING] MAR. 2017
  • A. B. Queyam, S. K. Pahuja, and D. Singh, “Simulation and Analysis of Umbilical Blood Flow us‑ ing Markov‑based Mathematical Model,” International Journal of Intelligent Systems and Applications (IJISA), vol. 9, no. 3, pp. 41–50, Mar. 2017. [UGC APPROVED, SCOPUS INDEXING] MAR. 2017
  • A. B. Queyam, S. K. Pahuja, and D. Singh, “LabVIEW‑based Virtual Instrument for Simulation of Doppler Blood Flow Velocimetry of Umbilical Artery,” Journal of Instrumentation Technology & Inno‑ vation (JoITI), vol. 6, no. 1, pp. 1–9, 2016. [UGC APPROVED] FEB. 2016
  • M. Singh and A. B. Queyam, “A Novel Method of Stress Detection using Physiological Measure‑ ments of Automobile Drivers,” International Journal of Electronics Engineering (IJEE), no. 2, pp. 13–20, 2013. [UGC APPROVED, ICI INDEXING] DEC. 2013
  • M. Singh and A. B. Queyam, “Correlation between Physiological Parameters of Automobile Drivers and Traff ic Conditions ,” International Journal of Electronics Engineering (IJEE), no. 2, pp. 6–12, 2013. [UGC APPROVED, ICI INDEXING] DEC. 2013
  • M. Singh and A. B. Queyam,“Stress Detection in Automobile Drivers using Physiological Param‑ eters: A Review,” International Journal of Electronics Engineering (IJEE), no. 2, pp. 1–5, 2013. [UGC APPROVED, ICI INDEXING]DEC. 2013