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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

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Pooria Madani
PhD

Assistant Professor

Networking and IT Security

Faculty of Business and Information Technology

Contact information

905.721.8668

pooria.madani@ontariotechu.ca
http://pmadani.ca


Research topics

  • adversarial machine learning
  • intrusion detection
  • malware detection
  • artificial intelligence

Areas of expertise

  • Information Technology
  • Big Data
  • Artificial Intelligence

Background

Dr. Pooria Madani is an Assistant Professor in the Faculty of Business and Information Technology at Ontario Tech University. He received his Ph.D. in Computer Science from York University in 2021. Dr. Madani's research interests include the use of machine learning in cybersecurity applications such as intrusion detection, malware classification, self-mutating codes, and theoretical attacks against learning algorithms in adversarial settings (i.e, adversarial machine learning).

Education

  • PhD in Computer Science York University 2021
  • Masters in Computer Science University of New Brunswick 2015
  • Bachelor of Science in Computer Science University of Prince Edward Island 2012