Tutorials, Invited Talks

Usually, ICDATA hosts several tutorials and invited talks focused on data science topics, such as Conformal Prediction, Big Data Analytics etc.

As soon as tutorials/talks are negotiated with speakers and confirmed, they will be published here.

All workshops, tutorials etc. at CSCE are free for all CSCE attendees.

The following talks/tutorials are approved so far (as of April 2020):

Invited Talk 1 - 2020

SpeakerAndrew Johnston
Booz Allen Hamilton
Topic/TitleIdentifying Extremism in Text Using Deep Learning
Date & Timet.b.a.
Locationt.b.a.
DescriptionVarious forms of terrorism have become increasingly relevant in today’s world. Consequently, the utilization of the web by various terrorist groups to spread propaganda, communicate and organize has increased. However, techniques to effectively identify such material are lacking. This chapter explores an approach which can classify any piece of text as belonging to one of four extremist groups: Sunni Islamic, Antifascist Groups, White Nationalists and Sovereign Citizens. This classification is performed by LSTM models, which will be proven to be much more effective than non-deep learning approaches. This chapter will describe the performance of various models in detail. The process of creating good quality datasets for each extremist category and the unique challenges such a task presents will also be explored.
Short BioAndrew Johnston is a Lead Technologist with Booz Allen Hamilton providing proactive cybersecurity consulting. In addition to his work with Booz Allen, Andrew is an Adjunct Professor with Fordham University's Graduate School of Arts and Sciences. Andrew Johnston's primary area of research is in the application of deep learning to problems within the cyber and national security spaces. Prior to his work with Booz Allen, Andrew was a proactive cybersecurity consultant with Mandiant serving both commercial and government customers. Andrew Johnston formerly worked with the FBI in the Cyber and Counterterrorism divisions.

Tutorial 1 - 2020

SpeakerAndrew Johnston
Booz Allen Hamilton
Topic/TitleTutorial on "Hunting Terrorists on the Darknet"
Date & Timet.b.a.
Locationt.b.a.
DescriptionTerrorism continues to be one of the primary global threats of the 21st century. As larger swaths of the world have become Internet-connected, the problem of terrorism has quickly spread online. Bolstered by anonymizing software which compromises the "Darknet", terrorists continue to recruit, train, and formulate plans with co-conspirators across the globe. In this talk, we will explore the techniques and tactics used to find and identify terrorists on the darknet, including how deep learning networks can be used to create a system for rapidly identifying and mapping terrorist-related material. We will explore the applications of this technology to related problems in the fields of narcotics trafficking and money laundering, and give insight into how current research efforts could inform the future of law enforcement and counterterrorism efforts.
Short BioAndrew Johnston is a Lead Technologist with Booz Allen Hamilton providing proactive cybersecurity consulting. In addition to his work with Booz Allen, Andrew is an Adjunct Professor with Fordham University's Graduate School of Arts and Sciences. Andrew Johnston's primary area of research is in the application of deep learning to problems within the cyber and national security spaces. Prior to his work with Booz Allen, Andrew was a proactive cybersecurity consultant with Mandiant serving both commercial and government customers. Andrew Johnston formerly worked with the FBI in the Cyber and Counterterrorism divisions.
Slidest.b.a.