Hi, I am Salman Maqbool

My technical background is a mechanical engineer turned software developer and machine/deep learning engineer and researcher. More recently, I have exlored a bit more of social sciences with a focus on social development and healtcare.

I like programming and my work has mostly revolved around different applications of machne learning and deep learning. I am also currently quite interested in (web) application development, data engineering, and DevOps.

You can find more about my work and education on my LinkedIn. This page primarily acts as a supplement to that.

m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks [arXiv, 2020]

My main contributions were annotation of the m2caiTool dataset, training and evaluation of various neural network architectures including GANs for synthetic data generation as well as capusle networks for semantic segmentation, as well as writing the complete paper. This core content of the paper was completed in 2018.

Real-time fish detection in complex backgrounds using probabilistic background modelling [Ecological Informatics, 2019]

My main contributions were the complete annotation of the Fish4Knowledge dataset, trying out different background subtraction algorithms inlcuding Convolutional Neural Networks (CNNs), as wel as writing the literature review and method section of the paper.

People Counting in Dense Crowd Images Using Sparse Head Detections [IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018]

I worked on the entire deep learning (CNN) section of the paper, from selection and training of the neural networks to writing that part of the paper.



  • Attended the MIT Center for Brains, Minds, and Machines (CBMM) Summer Course 2020
  • Attended Neuromatch Academy 2020, a 3-week digital summer school in Computational Neuroscience, as an interactive participant
  • Attended the Human Brain Porject (HBP) workshop on Neurobiology for non-specialists in 2017

Machine Learning

  • Volunteered at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018
  • Attended the International Conference on Machine Learning (ICML) 2018
  • Community Mentor for the Machine Learning Foundations course by University of Washington on Coursera in 2016

Social Good

  • Attended the Effective Altruism Student Summit 2020
  • Attended Impact Summit 2020, a 3-day conference on the intersection of technology and social good
  • Attended EAGxVirtual 2020, the Effective Altruism Global digital conference


  • I like to learn about diverse stuff including currently technology, psychology, and philosophy
  • Community beta tester for to-be-released courses on Coursera
  • Deliverd tutorials on introductory Python and deep learning to graduate students

Get in touch

Please feel free to connect with me.