Author Archives: Prof. Pinto

DDoS: a 20-year journey from compromised workstations to IoT attacks

Sven Dietrich

Math & Computer Science Dept.

John Jay College of Criminal Justice

April 11, 12pm-1pm

Room N923


In this 20-year retrospective, we discuss some of the challenges of dealing with distributed denial-of-service (DDoS) attacks from its origins in 1999 to the recent attacks in the late 2010s.  We describe first architectures of DDoS agents, the challenges of DDoS agent/bot forensics, the variety of topologies and command-and-control mechanisms for botnets over the years, the different victim populations from scientific workstations to IoT devices, future and current Internet design considerations, as well as attack and defense mechanisms at the host and network levels.




Building noise robust machine listeners with data and inspiration from humans

Michael Mandel

Associate Professor

Brooklyn College, Graduate Center

November 8, 12pm-1pm

Room N919


Matching human performance is one of the most difficult problems for a variety of speech communication technologies, including automatic speech recognition, voice processing in hearing aids, and mobile telephony.  One theory of human noise robustness is that listeners pick out reliable “glimpses” of a target sound and utilize contextual clues to fill in missing information using top-down knowledge.  This talk presents work that brings both of these processes to machines.



Driving Enterprise Transformation with Virtual & Augmented Reality

Iffat Mai
Design Applications Development Manager
Perkins + Will

October 11, 12pm-1pm
Room N919


Enterprises are embracing Virtual and Augmented Reality, using VR and AR to transform the way businesses work, train their staff, collaborate, communicate and interact with clients. We will examine the current trend of VR and AR usage from different industries such as Aviation, Automobile and Retail with a specific emphasis on use cases for the Architectural, Engineering and Construction industry.



Eager Execution in TensorFlow

Alexandre Passos

Software Engineer Google

April 12, 12pm-1pm Room N923





In this talk we’ll go over TensorFlow, an open- source cross-platform machine learning library developed by Google, and explore its new feature: eager execution. We’ll go over how to use it to write dynamic models, to debug and profile models, and to learn deep learning.

Presentation Video

Applied AI Techniques


Will Ross

Business Development, M& A

IBM Watson Group


In a world of open data and consumer platforms it is easy to forget the significant quantities of high-value data still held by entities who view or require those assets to be proprietary. A myriad of parties from corporations to government entities are keen to explore new advances in AI but do not recognize the challenges that will befall them as they try to protect the data assets that are their lifeblood. ‘Applied AI’ is the study of the novel techniques required to translate AI innovations into agents of value creation for this silent majority. We’ll explore the limitations of today’s most commonly applied AI techniques and discuss a variety of ways institutions are accommodating these shortfalls. We’ll also spend some time on exciting new results in the nascent field of few shot learning to inspire further hope for the future and show that there is core innovation in AI still to be accomplished.


Presentation Video


Energy Management as a Service (EmaaS): Design, Analysis and Realization

Yu-Wen Chen, PhD
Assistant Professor, CST Dept.
December 7, 12pm-1pm, Room N907

Dr. Chen presents an introduction to smart grid and cloud computing as the foundation for the design of customer-oriented energy-efficient systems (EmaaS). These systems provide financial incentives to customers thus enhancing the renewable energy sources(solar, wind, electrical) integration with the smart grid community.