Contact Details

Department: se

Email: sobia.yousuf@numl.edu.pk

Tel:

Engr. Sobia Yousaf

MS in Computer Engineering


Ph. D in Computer Engineering, Ongoing

University of Engineering & Technology, Taxila, Rawalpindi, Pakistan

Masters of Science in Computer Engineering, August 2017

University of Engineering & Technology, Taxila, Rawalpindi, Pakistan

Bachelor of Science in Computer Engineering, March 2009

COMSATS University, Wah Campus, Islamabad, Pakistan

LECTURER & RESEARCH ASSISTANT (March 2018 - Till Date)

Department of Software Engineering

National University of Modern Languages (NUML), Rawalpindi Campus, Pakistan

LECTURER (Aug 2017 - Feb 2018)

Department of Software Engineering

Barani Institute of Management Sciences (BIMS), Rawalpindi, Pakistan

FREELANCER (April 2013 - April 2017)

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RESEARCH PUBLICATIONS

• Year 2020

Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, Ulas Bagci, “Brain Tumor Survival Prediction using Radiomics Features” has been accepted in RNO Workshop at MICCAI 2020.

Sobia Yousaf, Harish RaviPrakash, Syed Muhammad Anwar, Nosheen Sohail, and Ulas Bagci, “State-of-the-Art in Brain Tumor Segmentation and Current Challenges” has been accepted in RNO Workshop at MICCAI 2020.

• Year 2019

Sajid khan, Zabeeh ullah, Maria Shahid, Zohaib Arshad, Sobia Yousaf , The Photometric Stereo Approach and the Visualization of 3D Face Reconstruction, “International Journal of Advanced Computer Science and Applications” 10(2) · January 2019. DOI: 10.14569/IJACSA.2019.0100229

• Year 2018

Anwar, S. M., Yousaf, S., & Majid, M. (2018, July). Brain tumor segmentation on Multimodal MRI scans using EMAP Algorithm. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 550-553). IEEE.

Anwar, S. M., Awan, S., Yousaf, S., & Majid, M. (2018, December). Segmentation of Liver Tumor for Computer Aided Diagnosis. In 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES) (pp. 366-370). IEEE.

  • Digital Image Processing
  • Machine Learning
  • Deep Learning