Past Event! Note: this event has already taken place.
RADS Seminar: Managing Risk in Machine Learning Applications for Large-Scale Government Applications
March 30, 2023 at 1:30 PM to 2:30 PM
| Location: | Online via Zoom |
| Audience: | Anyone |
| Key Contact: | RADS Director |
| Contact Email: | majumdar@sce.carleton.ca |
Dr. Imran Ahmad form the Advanced Analytics Solution Center (A2SC) of the Canadian Federal Government will be giving a seminar on “Managing Risk in Machine Learning Applications for Large-Scale Government Applications.”
Seminar Abstract: This presentation is about how to implement large scale machine learning based solutions for critical government projects. We will focus on a specific use-case of using machine learning algorithms for visa processing. Machine learning has become increasingly important in government processes, offering potential benefits such as improved efficiency and decision-making. However, implementing machine learning in critical applications also presents potential risks, including data quality and bias, model overfitting and underfitting, interpretability and explainability, security and privacy, and ethical considerations. To mitigate these risks, government guidelines and regulations, industry standards and best practices, and risk management frameworks can be developed and implemented. Vigilance, monitoring, and continuous improvement are crucial to ensuring the safe and effective use of machine learning in government processes.
Speaker Bio: Dr. Imran Ahmad has been a part of cutting-edge research on Algorithms and Machine Learning for the last many years. He completed his PhD in 2010 in which he proposed a new Linear Programming based algorithm which can be used to optimally assign resources in a large scale cloud computing environment. In 2017, Imran developed a realtime analytics framework named StreamSensing. He has since authored multiple research papers that use StreamSensing to process multimedia data for various Machine Learning Algorithms. Imran is currently working at Advanced Analytics Solution Center (A2SC) of Canadian Federal Government as a Data Scientist where he is using Machine Learning Algorithms for critical use-cases. Imran has also been teaching for Google and Learning Tree for the last many years. The topics Imran teaches include Algorithms, Cloud Computing and Deep Learning. Over his career, Imran has written many research papers and a couple of his recent papers have won the best paper award. Imran also regularly writes blogs on selected IT topics. In addition to his professional work, Imran is into Nature Photography. Over the years he has taken thousands of photos about nature. Imran’s passion is to find a way to make technology work for the betterment of humanity. This passion is the main motivation behind his research.