Broadly Interested in Computational Intelligence. More specifically, I am currently working with Prof. Dr. Jilles Vreeken on online causal inference, to enable out-of-distribution generalization in RL agents.

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 reading books, running/cycling, and travelling.

              

maadil@mpi-inf.mpg.de

Room 3.12, Building E1 7, Saarland Informatics Campus

• Sept 2nd, 2021: Got awarded Saarland Scholarship for International Students. Thanks, StudienStiftungSaar!
• Aug 13th, 2020: I will be co-tutoring Elements of Machine Learning (Winter '20) at Saarland University.
• Aug 13th, 2020: I have joined EDA @ CISPA as a Research Assistant.
• Feb 11th, 2020: I recently did a course project in ML in Cybersecurity; it's available online here.
• Oct 12th, 2019: I have joined Max Planck Institute for Informatics (MPI-INF) as a MSc student.

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.