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Anees Qumar Abbasi

M.Sc. Anees Qumar Abbasi

Research Associate
room: 508
phone: +49 721 608 - 45478
fax: +49 721 608 - 42789
anees abbasiJgk3∂kit edu


  All Publications, sorted by years

          2019 2015 2014 2013 [All]

Selected Publications

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.


Research Interest:

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