Research Assistant Professor
Nanofabrication Facility Director
CUNY Advanced Science Research Center
May 2, 2024, 12Noon-1pm, Room N918
Micro and nanofabrication facilities employ advanced techniques including AI to make devices such as semiconductors(CPU,GPU), microelectromechanical, photonic, biological, and energy harvesting devices, to name a few of the applications. We will discuss the roles that data, computation, and AI can play in these unique fabrication processes.
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Software Engineer
GEICO
April 4, 2023 12Noon-1pm
Room N918
In recent years, we’ve seen the emergence of artificial intelligence (better known as AI) play a huge role in the evolving software landscape. It’s important to discuss the limitations AI does provide and what it means for our future as we navigate through a massive technological shift and being able to understand humans biases and the power they hold over the upcoming technology.
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Assistant Professor
NYU | Courant Computer Science
My research focuses on the security, privacy, and transparency of technologies in societal and legal context. My talk will focus on three of my recent works in this space, relating to (1) preventing exploitation of stolen email data, (2) enhancing accountability in electronic surveillance, and (3) legal risks faced by security researchers.
Bio: Sunoo Park is an Assistant Professor of Computer Science at NYU’s Courant Institute of Mathematical Sciences and Affiliated Interdisciplinary Faculty at the NYU School of Law. Her research is in technology law and policy, cryptography, and computer security.
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Many feel they understand the concept of cloud computing, but few fully grasp the scope of what’s possible and why it matters for their roles. During this one hour lecture, we’ll go over the comprehensive definition of cloud computing, the role of AWS, the business model and value proposition for companies, core concepts, and how you can get started learning about the cloud and AWS. This lecture will be given at a 100-level depth and is suited for students, faculty, and City Tech/CUNY administrators alike.
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Math & Computer Science Dept.
John Jay College of Criminal Justice
April 11, 12pm-1pm
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.
Posted in Industry, Research, Uncategorized
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.
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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.
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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.
Posted in Research, Uncategorized
Tagged AI, Eager Execution, machine learning, TensorFlow
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