M Abdullah Canbaz, Ph.D.

Assistant Professor
Department of Information Sciences & Technology (CIST) and Cybersecurity (CYBR) College of Emergency Preparedness, Homeland Security and Cybersecurity

Hello! I am an Assistant Professor in the Department of Information Sciences & Technology (CIST) and Cybersecurity (CYBR) at College of Emergency Preparedness, Homeland Security, and Cybersecurity at University at Albay, SUNY. I received my BS degree in Computer Science from Fatih University, Turkey, an MS degree in Computer Science from International Burch University, Bosnia and Herzegovina, another MS degree in Computer Science from Indiana University Purdue University, Indianapolis (IUPUI), and PhD in Computer Science from University of Nevada, Reno (UNR). I lead the AI in Complex Networks Lab at UAlbany. Previously, I was an assistant professor at Indiana University, Kokomo, IN.

Education.

  • 2014-2018

    University of Nevada, Reno, United States

    Ph.D., advised by Associate Prof. Mehmet Hadi Gunes.

  • 2012-2014

    Indiana University - Purdue University Indianapolis, Indianapolis, United States

    MS., advised by Prof. Yao Liang.

  • 2010-2012

    International Burch University, Sarajevo, Bosnia and Herzegovina

    MS., advised by Prof. Abdulhamit Subasi.

  • 2006-2010

    Fatih University, Istanbul, Turkey

    BS., advised by Prof. Veli Hakkoymaz.

Research.

Weaponized Networks

Think Networks. Critical infrastructures, epidemic networks, network medicine, and more. How one can convert a network into their weapon?

Thinking the critical infrastructures as networks, we examine the relationship between marginalization and communication technology. Using theories of communication power and media control, network and computational social science methods, and data from online and traditional media sources, we aim to understand how and why marginalization happens. From social media to businesses to schools and more, we aim to identify - and disrupt - the explicit and implicit processes that prevent some people and ideas from being fully heard.

Applied ML in Security and Privacy

IoT, Blockchain, other emerging technologies have one thing in common, massive collections of data to be understood!

To get security and privacy right, we need to think beyond the traditional boundaries of engineering and computer science. We have to look further into the human factors that make security and privacy usable as well as the economics and social sciences behind the decisions people make with technology. We have to understand the policy ideas that power the network safety of private and public enterprises. Security and privacy affects every walk of life, from the operator ensuring the resiliency of a city’s electric grid to a child learning to read using a tablet. In this project, we are focused on advancing research in machine learning and artificial intelligence (AI), in which computers can “learn” trends from massive collections of data.

Conversations and NLP in Social Networks

Natural language processing and information extraction for safety, privacy, ethics, legal and regulatory analysis.

What can we learn from new detailed sources of data about human behavior? Why do certain pieces of information (videos, rumors, jokes, etc…) spread from person to person? How does the dynamics of the users help shape the systems themselves? Can we use them to get the pulse of society? And how can these new insights guide us in the development of better communication and information infrastructures?

AI in Complex Networks Team

In AI in Complex Networks Lab, we are working on various topics such as social networks, critical infrastructures,privacy and security, IoT and wearable technologies, etc. If you are interested in joining, please drop me an email with your CV and test scores.

Coming Soon

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Teaching.

Contact.

mcanbaz [at] albany {dot} edu
  • AI in Complex Systems Lab,
  • ETEC Building,
  • College of Emergency Preparedness, Homeland Security, and Cybersecurity,
  • University at Albany, SUNY