Photo by Riccardo Annandale on Unsplash

Last year, I was elected as the new president of the Artificial Intelligence club at the Lebanese American University for the academic year 2020–2021. Leading the AI club is a major achievement in my university journey and with the help of the club board, we managed to reach many milestones:

Figure 1: Photo by Rhi Photography on Unsplash

For the last three months, I had the opportunity to join the Google Summer of Code in its 2021 version as a Deep Learning intern at the Machine Learning for Science (ML4SCI) organization. My project was part of the End-to-End (E2E) group and dealt with applying Deep Learning for boosted top quark mass regression for the CMS experiment at CERN. To commemorate the end of this opportunity full of learning, I decided to write an article describing my experience as a Google Summer of Code student, so buckle up and let’s get started!

0. A Preliminary: What is GSoC?

Google Summer of Code or GSoC (as…

Making Sense of Big Data

Figure 1: Removal of the CMS beam pipe (Image by Maximilien Brice/Julien Ordan/CERN — Source: CERN )

The detection of muons is an important task in the CMS experiment at CERN (European Organization for Nuclear Research). Muons are usually expected to be produced by many physical experiments studied in depth at the CMS physics program at CERN. For example, one way to study the famous Higgs Boson particle is through a decay channel where the Higgs Boson decays into four muons.

Since muons can penetrate several meters of iron with no significant energy loss, they are hardly stopped by any layer of the CMS system. Therefore, the muon detectors are the outermost ones, far from the interaction…

How we tackled plant images segmentation problem with Deep Learning.

Photo by Josefin on Unsplash

Identifying weed plants in cultivated field is a time-intensive task. Automating such a task can drastically reduce the time needed to identify and remove weeds and thus increase the yield and the productivity of the workers. In our latest project, my colleague Rawane Madi and I worked on a plant segmentation task that uses Deep Learning to identify weeds and their stems from crops. …

Figure 1: Photo by Ricardo Cruz on Unsplash

Hello, Hello! Welcome back to the second part of my series on How to structure RL projects !

In this post, we discuss the second part of this series:

Choose your Weapons: All the Tools You Need to Build a Working RL Environment

Figure 1: Photo by Nik Shuliahin on Unsplash

Ten months ago, I started my work as an undergraduate researcher. What I can clearly say is that it is true that working on a research project is hard, but working on an Reinforcement Learning (RL) research project is even harder!

What made it challenging to work on such a project was the lack of proper online resources for structuring such type of projects;

To better guide future novice researchers, beginner machine learning engineers, and…

Anis Ismail

Undergraduate Researcher | Machine Learning Engineer | Computer Engineering Student @ LAU |

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