Khush Bakhat Awar, PhD.

Scientific background:

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Complex Networks
  • Computer Vision and Software Engineering

International projects:  1

Publication activity:

  • Publications in scientific journals 11
  • Contributed lectures at conferences 3
  • Invited lectures 9
  • Citations 185

The most significant publications:

2024

  • Bakhat, Khush, Kashif Kifayat, M. Shujah Islam, and M. Mattah Islam. “Utilizing CPG-3D, graph theory anchored approach to recognize human action recognition.”Multimedia Tools and Applications 83, no. 17 (2024): 51699-51714.

2023

  • Bakhat, Khush, Kashif Kifayat, M. Shujah Islam, and M. Mattah Islam. “Katz centrality based approach to perform human action recognition by using OMKZ.”Signal, Image and Video Processing 17, no. 4 (2023): 1677-1685.
  • Islam, M. Shujah, Khush Bakhat, Mansoor Iqbal, Rashid Khan, ZhongFu Ye, and M. Mattah Islam. “Representation for action recognition with motion vector termed as: SDQIO.”Expert Systems with Applications 212 (2023): 118406.

2021

  • Islam, M. Shujah, Khush Bakhat, Rashid Khan, Mansoor Iqbal, M. Mattah Islam, and Zhongfu Ye. “Action recognition using interrelationships of 3D joints and frames based on angle sine relation and distance features using interrelationships: Action recognition using interrelationships of 3D joints and frames based on angle sine relation and distance features using interrelationships.”Applied Intelligence 51, no. 8 (2021): 6001-6013.
  • Islam, M. Mattah, Saifullah Shahid, Khush Bakhat Awar, Rashid Khan, and Muhammad Sohail. “Cyber-Security: Dos Attack Outcomes are Dangerous.”European Journal of Electrical Engineering and Computer Science 5, no. 3 (2021): 54-59.

2020

  • Islam, M. Mattah, Shamsa Kanwal, Khush Bakhat, Khadija Kanwal, Muhammad Umair, and Rashid Khan. “Data-driven decision support system: a business intelligence approach.”American Journal of Engineering 5 (2020).

2017

  • Awar, Khush Bakhat, M. Shujah Islam Sameem, and Yasir Hafeez. “A model for applying Agile practices in Distributed environment: A case of local software industry.” In2017 International Conference on Communication, Computing and Digital Systems (C-CODE), pp. 228-232. IEEE, 2017.

Education:

2024: Ph.D (Computer Science): Air University, Islamabad, Pakistan, Department of Computer Science

Thesis: Link Prediction and Action Recognition Analysis in Complex Networks

Awards, scholarships and research stays:

  • PhD Scholar (Research Stay), National Centre of Cyber Security (NCCS), Air University, Islamabad, Pakistan – September 2018 to Júly 2024
  • Researcher, Alexander Dubček University of Trenčín, Slovakia, March 2026 to continue.

Other activities:

  • Co-Investigator in a funded research project at King Faisal University, supported by the Ministry of Education.
Khush Bakhat Awar, PhD.
Khush Bakhat Awar, PhD.
VILA Department
Researcher

E-mail: khush.awar@tnuni.sk
Office: n. B4.15