Cardiff School of Technologies>Staff Profiles>Shadan Khan Khattak

Dr Shadan Khan Khattak

Department: Department of Applied Computing and Engineering

Office/Location: Cardiff School of Technologies, Llandaff Campus

Telephone:

Email: skhattak@cardiffmet.ac.uk

Staff Overview

​Shadan Khan Khattak joined the Cardiff School of Technologies as a Senior Lecturer in November 2020. His specialization is in Multimedia Communication and Signal Processing. Before joining Cardiff Met, he worked as an Assistant Professor in King Faisal University, Al Ahsa, Saudi Arabia. He also worked as an Assistant Professor at COMSATS University Islamabad, Pakistan, from 2014 to 2017. From 2017 to 2018, Shadan worked as an R&D Engineer at Panasonic R&D Centre Singapore. Shadan’s research interests are in image and video communication. He has several publications in reputed peer-reviewed journals and conferences in these areas including the IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Letters, Signal Processing: Image Communication, and the Picture Coding Symposium. He is a member of IEEE and is a reviewer for several reputed peer-reviewed journals.

Teaching

  • CIS4005 Developing Quality Software Systems 
  • ENG3000 Physics and Electronics 

Research

  • Multimedia Communication 
  • Robotics 
  • Artificial Intelligence 

Key Publications

A. Zahir, S. K. Khattak, A. Ullah, P. Reviriego, F. B. Muslim and W. Ahmad, "FracTCAM: Fracturable LUTRAM-Based TCAM Emulation on Xilinx FPGAs," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 28, no. 12, pp. 2726-2730, Dec. 2020 

S. Shah, A. Tahir, J. Ahmad, A. Zahid, H. Pervez, S. Shah, A. Ashleibta, A. Hasanali, S. Khattak, and Q. Abbasi, Sensor Fusion for Identification of Freezing of Gait Episodes using Wi-Fi and Radar Imaging, IEEE Sensors, 2020. 

Malik, A. Ullah, A. Zahir, A. Qamar, S. Khattak, and P. Reviriego, Isolation Design Flow Effectiveness Evaluation Methodology for Zynq SoCs, Electronics, vol, 9, no. 5, pp. 814 – 824, 2020. 

S. Khan, N. Muhammad, S. Farwa, T. Saba, S. Khattak, and Z. Mahmood, Early CU Depth Decision and Reference Picture Selection for Low Complexity MV-HEVC, Symmetry, vol, 11, no. 4, pp. 454 – 462, 2019. 

Gul and S. Khattak, Bayesian Early Mode Decision Technique for Multiview Video Coding, Journal of Graphics, Vision and Image Processing, vol. 18, no. 1, pp. 15-24, 2018. 

S. Nawaz and S. Khattak, Early decision of CU splitting, using base view information, for low complexity MV-HEVC. International Multitopic Conference (INMIC 2017), Dec. 2017. 

S. Khattak, T. Maugey, R. Hamzaoui, S. Ahmad, and P. Frossard, Temporal and Interview consistent error concealment for Multiview plus Depth Video, IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 5, pp. 829-840, May 2016. 

S. Khattak, R. Hamzaoui, T. Maugey, S. Ahmad, and P. Frossard, Bayesian Early Mode Decision Technique for View Synthesis Prediction-enhanced Multiview Video Coding, IEEE Signal Processing Letters, vol. 20, no. 10, pp. 1126-1129, Nov. 2013. 

S. Khattak, R. Hamzaoui, S. Ahmad, and P. Frossard, Fast Encoding Techniques for Multiview Video Coding, Signal Processing: Image Communication, vol. 28, pp. 569-580, July 2013. 

S. Khattak, Framework for Low Complexity Multiview Video Coding. PGNet'2013, Postgraduate Symposium on the Convergence of Telecommunications, Networking, and Broadcasting, Liverpool, UK, June 2013. 

S. Khattak, R. Hamzaoui, S. Ahmad, and P. Frossard. Low Complexity Multiview Video Coding. PCS'2012, Picture Coding Symposium, Krakow, Poland, May 2012. 

Other Projects and activities

External Links