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Anees Qumar Abbasi

M.Sc. Anees Qumar Abbasi

Wissenschaftlicher Mitarbeiter
Raum: 508
Tel.: +49 721 608 - 45478
Fax: +49 721 608 - 42789
anees abbasiKba7∂kit edu


  Alle Veröffentlichungen, sortiert nach Jahren

          2019 2015 2014 2013 [Alle]

Ausgewählte Veröffentlichungen

Journal Articles (3)

A. Q. Abbasi, and W. A. Loun.
Symbolic Time Series Analysis of Temporal Gait Dynamics.
In Journal of Signal Processing Systems, vol. 74(3) , 2014
M. M. Abasi, A. P. Beltikov, A. Q. Abbasi, and L. Hussain.
Analysis of Emotions from Texts for Management of Society.
In ICT Infokommunikacionnye tehnologii, vol. 2, pp. 6, 2019
L. Hussain, W. Aziz, A. Q. Abbasi, M. M. Abasi, S. Z. Hassan, and A. S. Khan.
Classification of Electroencephlography (EEG) Alcoholic and Control Subjects using Machine Learning Ensemble Methods.
In Journal of Multidisciplinary Engineering Science and Technology, vol. 2(1) , pp. 6, 2015

Books (1)

A. Q. Abbasi, and W. Aziz.
Human Gait Analysis: Analysis of Human Gait Dynamics Using Symbolic Time Series Analysis Method.
LAP LAMBERT Academic Publishing, Pakistan. 2013.

Conference Contributions (2)

A. Q. Abbasi, W. Aziz, S. Saeed, I. Ahmed, and L. Hussain.
Comparative study of multiscale entropy analysis and symbolic time series analysis when applied to human gait dynamics.
In International Conference on Open Source Systems and Technologies, pp. 126-132, 2013
L. Hussain, W. Aziz, S. A. Nadeem, and A. Q. Abbasi.
Classification of Normal and Pathological Heart Signal Variability Using Machine Learning Techniques.
In International Journal of Darshan Institute on Engineering Research and Emerging Technology, vol. 3(2) , pp. 13-19, 2014


  • M.Phil. in Computer Science from University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan
    • Master Thesis done at UAJK under the supervision of Porf. Dr. Wajid Aziz Loun. Title: “Symbolic Time Series Analysis of Human Gait Dynamics”.
  • Lecturer at Women University of Azad Jammu and Kashmir Bagh, Pakistan
  • HEC/DAAD Scholar for PhD studies.
  • PhD student at KIT from October 2018.



Sensor and Signal Processing, Biomedical Time Series Classification & Prediction, Gait Analysis