Broadly Interested in Computational Intelligence. More specifically, I am currently working with Prof. Dr. Jilles Vreeken on causal invariance for out-of-distribution generalization in Machine Learning algorithms.

Currently, I am a MSc student at Saarland University, additionally affiliated with MPI-INF through IMPRS-CS program, and with EDA @ CISPA as a Research Assistant. Previously, I did my Bachelors in Computer Science from NUCES, Islamabad. During the tenure, I worked with Dr. Sibt ul Hussain on a couple of Computer Vision problems.

Lastly, I am also an advocate of open-source research. And apart from academia, I like running, football, and travelling. Sometimes I juggle too.

              

maadil@mpi-inf.mpg.de

Room 605, Building E1 5, Saarland Informatics Campus

Improving Super Resolution Methods via Incremental Residual Learning
Muneeb Aadil, Rafia Rahim, Sibt ul Hussain
IEEE International Conference on Image Processing (ICIP), 2019

  @inproceedings{aadil2019irl,
  Author={Aadil, Muneeb and Rahim, Rafia and
          Hussain, Sibt ul},
  Title={Improving Super Resolution Methods via
         Incremental Residual Learning},
  booktitle={IEEE International Conference on
             Image Processing (ICIP)},
  year={2019}
}

NTIRE 2018 Challenge on Single Image Super Resolution: Methods and Results
Radu Timofte, ..., Sibt ul Hussain, Muneeb Aadil, ..., Lingzhi Fu.
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019

  @InProceedings{Timofte_2018_CVPR_Workshops,
    author = {Timofte, Radu and Gu, Shuhang
              and Wu, Jiqing and Van Gool, Luc},
    title = {NTIRE 2018 Challenge on Single
             Image Super-Resolution: Methods
             and Results},
    booktitle = {The IEEE Conference on Computer
                 Vision and Pattern Recognition
                 (CVPR) Workshops},
    month = {June},
    year = {2018}
    } 

Preventing Clean Label Poisoning via Gaussian Mixture Loss
Machine Learning in CyberSecurity, Winter '19; UdS
(collaboration with Muhammad Yaseen and Maria Sargsyan)

Python Implementation of Structure from Motion
Undergrad Final Year Project, Spring '18; NUCES.

Line Detection using Convolutional Neural Networks
Deep Learning for Perception, Fall '17; NUCES.