Participating in the Qiskit Global Summer School 2020 was a great experience! We were taught in-depth theoretical concepts including Quantum Error Correction, Quantum Chemistry, Quantum Machine learning and so much more. We also got hands-on experience by coding for labs and running them in actual quantum computers in cloud! In the final project we had to design, implement, and simulate a VQE algorithm for calculating the ground state energy of the LiH molecule. Check my team’s solution here.
This conference is organised by OpenMined community covering all aspects of privacy-related technology research, deployments and issues. Speakers include some of the leading researchers, engineers, philosophers and visionaries from the data privacy and security field from world’s top institutes. Me, along with my Differential Privacy research team in OpenMined have presented our project on private deep learning on medical data. More details of the project are available in the conference presentation recording (to be added when available).
Out of 10,000+ students, I have been awarded with this award after being elected by the classmates as a recognition of outstanding community contribution. I never expected anything in return but this kind of recognition coming from peers is always motivating and refreshing. All in all it was a great journey as an Intel Edge AI Scholar hosted by Udacity.
My team was the 3rd winner in Thales Canada’s Student Innovation Championship 2018, which was a national AI competition participated by 52 undergrad and post-secondary graduate student teams from top universities. 8 finalist teams presented to a panel of judges comprised of industry experts at Thales’ Centre of Research and Technology for AI eXpertise (cortAIx) and the home of Thales’ North American Digital Factory in the heart of Montreal’s AI hub to win $20,000 of grand prize.
Our winning solution presented an end-to-end learning model for identifying misinformation present in the web. The model is capable of mining all opinions available on the web on a certain topic along with relevant evidences so that users can decide the authenticity of each opinion before taking them into account. The user is presented with visual statistics of a list of opinions with supporting and contradicting evidence and a credibility score that they can use to decide if an opinion deserves sufficient authenticity.
This is the webinar I hosted during a Study Jam for the students of Intel Edge AI Scholarship. In this webinar I presented different ways and directions to follow for applying machine learning in speech and audio data.
3-Minute Thesis is a prestigious and extremely challenging competition held all over the world where graduate students present their Master’s and PhD thesis to a room full of non-specialist audience in under 3 minutes with 1 static slide! I participated in Annual 3MT Competition 2019 organised by the University of Windsor. I was one of the top 5 presenters in the competition. I shared my experience in this blog.