Scholar
Zafarali Ahmed
Google Scholar ID: KZHIDrIAAAAJ
Google DeepMind
Citations & Impact
Citations
12,469
H-index
15
i10-index
15
Publications
20
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published 'Understanding the impact of entropy on policy optimization'.
- Published 'An Introduction to Attention Mechanisms' and gave a talk at the Montreal Deep Learning Meetup.
- Published 'Genetic Diversity In Circulating Tumor Cell Clusters'.
- Gave a talk 'The Rise of Conversational AI' at the first Montreal Bot Meetup held at Microsoft HQ.
- Published 'Disease Outbreak on College Networks'.
- Created Minerva Bot, a pseudointelligent chat bot on Facebook Messenger.
- Held 'Predicting with Data Workshop' to teach the basic concepts behind machine learning and how to implement them using Scikit-Learn.
- Published 'Comparison of Game Playing Algorithms and Heuristics in Hus'.
- Published 'Towards electroencephalography-based prosthetic control'.
- Published 'Computational Oncology'.
- Developed Stressless, an application that quantifies stress levels in the workplace.
- Developed Flaneur, a companion travel app.
- Published 'TwitFem Attitude Analysis'.
Research Experience
- Some work at Google Brain.
- Completed a technical discussion and tutorial on how to visualize recurrent neural networks with attention in Keras during an internship at Datalogue.
- Simulated macroscopic tumors to investigate the interplay between global growth dynamics, microscopic composition, and circulating tumor cell cluster diversity.
- Explored the relationship of segregation on a stochastic campus network to the spread and control of a disease.
- Created a pseudointelligent chat bot on Facebook Messenger to aid students of McGill find information about courses, programs, buildings, and printers faster.
- Held hands-on workshop to teach the basic concepts behind machine learning and how to implement them using Scikit-Learn.
- Explored the creation of an agent that plays the game of Hus. The best agent is based on minimax with alpha-beta pruning and a naive heuristic.
- Developed a framework and prototype for a Siri-like system that can automatically detect tasks like grasping and lifting through EEG brain signals, potentially leading to building better neuroprosthetics.
- Simulated cancer growth and their genomes in silico and used it to determine tumor heterogeneity. Over 7000 lines of pure python.
- Quantifies stress levels in the workplace using heart rate measurements from commercial wearables like the FitBit. Wrote the algorithm to calculate the Heart Rate Variability.
- Developed a companion travel app that recommends day itineraries based on mood.
- Used 1M tweets to determine the most characteristic words used by feminists and anti-feminists with the log-likelihood keyness method.
Background
- Research interests include deep learning, natural language processing, and machine learning. Bio: Zafarali Ahmed is a researcher with extensive experience in the field of artificial intelligence.
Miscellany
- Personal interests include traveling, data analysis, and tech communication.
Co-authors