Ph.D in Mechatronic Engineering Universiti Malaysia Perlis (UniMAP), Malaysia
Congratulations, Prof. Herbert Jodlbauer, on winning the esteemed Best Researcher Award from Citation Awards! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!🌿
Professional Profiles:
Scopus Profile
Google Scholar Profile
ResearchGate Profile
LinkedIn
Areas of Specialization:
Biomedical Engineering
Education
Ph.D. in Mechatronic Engineering Universiti Malaysia Perlis (UniMAP), Malaysia Nov 2015 to 2019 Thesis: “Asthma severity classification from pulmonary acoustic signal for computerized decision support system”
Work Experience:
Assistant Professor (Teaching, Research and Development) Department of Industrial Engineering and Management (DIEM), University of the Punjab Oct. 2019 to Present, Research Associate (Research and Planning) AI Rehab Research Group, University Malaysia Perlis, Mechatronic Engineering Department Nov. 2015 to Aug. 2019
Internships & Training:
Trainee Engineer PEL (pel.com.pk) 26 July 2008 to 26 Aug 2008, Trainee Engineer Packages (www.packages.com.pk) 6 July 2007 to 6 Aug 2007, Trainee Engineer PECO Ltd. (www.peco.com.pk) 18 Aug 2007 to 6 Sep 2007
Peer Reviewer & Academic Engagements:
Assist Prof Dr. Fizza Ghulam Nabi citation metrics and indices from Google Scholar are as follows:
Citations: 116 (All), 115 (Since 2018)
h-index: 6 (All), 6 (Since 2018)
i10-index: 4 (All), 4 (Since 2018)
Publications: 20 documents indexed in Scopus.
Selective Publications (JOURNALS):
Nabi F.G., Sundaraj K., Kiang L.C., Palaniappan R. Characterization and classification of asthmatic
wheeze sounds according to severity level using spectral integrated features, Computers in Biology and
Medicine. (2019)104, PP.52-61 IF: 6.698
Nabi F.G., Sundaraj K., Lam C.K. Identification of asthma severity levels through wheeze sound
characterization and classification using IP features, Biomedical Signal Processing and Control (2019).
IF: 5.076
Nabi F.G., Sundaraj K., Kiang L.C., Palaniappan R., Sundaraj, S. Ahamed, N.U. Artificial intelligence
techniques used for wheeze sounds analysis: Review (2017) IFMBE Proceedings, 58, pp. 37-40.
(Scopus)
Nabi F.G., Sundaraj, K., Kiang, L.C., Palaniappan, R.. Analysis of wheeze sounds during tidal
breathing according to severity levels in asthma patients, Journal of asthma (2019) pp.1-13. IF 2.081
Nabi F.G., Sundaraj K., Lam C.K. Asthma severity identification from pulmonary acoustic signal for
computerized decision support system, Journal of the Pakistan Medical Association (2020). IF: 0.781
Nabi F.G., Sundaraj K, Kiang L.C., Palaniappan R., Sundaraj, S. Wheeze sound analysis using
computer-based techniques: A systematic review (2019) Biomedical Engineering / Biomedizinische
Technik, 64 (1) pp. 1-28. IF: 1.65
Nabi F. G., et al. “Recommendations Related to Wheeze Sound Data Acquisition.” Journal of
Telecommunication, Electronic and Computer Engineering (JTEC) 10.1-13 (2018): 117-120. (Scopus
Journal)
Palaniappan, R., K. Sundaraj, and F. G. Nabi. “An Overview of Breath Phase Detection–Techniques &
Applications.” Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 10.2-7
(2018): 33-36. (Scopus Journal)
Talib, I., K. Sundaraj, C. K. Lam, and F. G. Nabi “Development of a Standalone Application to
Measure Crosstalk in MMG Signals from Forearm Muscles during Wrist Postures.” Journal of
Telecommunication, Electronic and Computer Engineering (JTEC) 10.2-7 (2018): 103-106. (Scopus
Journal)
J. Hussain, K. Sundaraj, Y. F. Low, C. K. Lam, I.Talib, F.G. Nabi Fatigue essment in the Brachii
Muscles During Dynamic Contractions (2017) International Journal of Applied Engineering Research
12, pp. 12403-12408. (Scopus Journal)