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Zeeshan Ahmad

PhD, MSc, MEng, BEngAssistant Professor, Master of Computer Science in Applied Artificial Intelligence, Master of Data Analytics, UNF Faculty

Zeeshan Ahmad is currently working as an Assistant Professor at the University of Niagara Falls Canada. He earned his BEng in Electrical Engineering from NED University of Engineering and Technology, Karachi, Pakistan in 2001 and MSc in Electrical Engineering from the National University of Sciences and Technology (NUST), Pakistan in 2005.

Zeeshan joined the Department of Electrical, Computer, and Biomedical Engineering at Toronto Metropolitan University (formerly Ryerson University) in 2015, earned his MEng in 2017, and earned his Ph.D. in 2021 with specialization in Deep Learning for Computer Vision. From 2021 to 2024, Zeeshan worked as Postdoctoral Fellow at Toronto Metropolitan University. His teaching and research include data analytics, multimodal machine learning, physiological signal processing, and computer vision.

Courses taught

Data Warehousing and Visualization, Predictive Analytics, Python for Data Analysis

Areas of academic interest

Data science, machine learning, artificial intelligence

Areas of specialization

Artificial intelligence, machine learning

Awards

Queen Elizabeth-II Graduate Scholarship in Science and Technology.
Ryerson Graduate Development Award
Ontario Graduate Scholarship

Publications

Author of more than 10 peer reviewed papers in the area of multimodal machine learning

Land acknowledgement

University of Niagara Falls Canada acknowledges that the land we gather on is located on the traditional territory of the Haudenosaunee, Hatiwendaronk and Anishinaabe peoples. We also acknowledge the many other First Nations, Métis, and Inuit peoples who call this region home.

We commit to building relationships based on respect, reciprocity, and reconciliation as we work, learn, and gather on this land. Furthermore, we acknowledge that the Niagara region is situated on treaty land, and we stand with all Indigenous peoples, past and present, in promoting the wise stewardship of the lands on which we live.

Designated Learning Institute Number: O287430643972.

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