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 Join us for our Fall 2025 Expo on October 15, 2025!

We have an exciting showcase planned, featuring highlights from The Department of Electrical Engineering as well as all Grove School of Engineering departments and programs. Student clubs will be on hand to showcase the wide range of extracurricular activities available, while CCNY and CUNY representatives will present their research posters and the many opportunities offered to our students. Recruiters actively hiring for a range of engineering and computer science roles will also be in attendance.

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Electrical Engineering Seminar

What:      EE Department Seminar

Title:       Dissecting the Software Supply Chain of Modern Industrial Control Systems

Speaker:   , New York University

Date & Time: November 06, 2025, 2:45pm

Location:    Exhibit Room

Abstract: Recent years have been pivotal in the field of Industrial Control Systems (ICS) security, with a large number of high-profile attacks exposing the lack of a design-for-security initiative in ICS. The evolution of ICS abstracting the control logic to a purely software level hosted on a generic OS, combined with hyperconnectivity and the integration of popular open source libraries providing advanced features, have expanded the ICS attack surface by increasing the entry points and by allowing traditional software vulnerabilities to be repurposed to the ICS domain. In this seminar, we will shed light to the security landscape of modern ICS, dissecting firmware from the dominant vendors and motivating the need of employing appropriate vulnerability assessment tools. We will present methodologies for blackbox fuzzing of modern ICS, both directly using the device and by using the development software. We will then proceed with methodologies on hotpatching, since ICS cannot be easily restarted in order to patch any discovered vulnerabilities. We will demonstrate our proposed methodologies on various critical infrastructure testbeds.

Bio: Michail (Mihalis) Maniatakos is a Professor of Electrical and Computer Engineering at New York University (NYU) Abu Dhabi, UAE, and a Research Professor at the NYU Tandon School of Engineering, New York, USA. He is the Director of the MoMA Laboratory (), NYU Abu Dhabi. He received his Ph.D. in Electrical Engineering, as well as M.Sc., M.Phil. degrees from Yale University. He also received the B.Sc. and M.Sc. degrees in Computer Science and Embedded Systems, respectively, from the University of Piraeus, Greece. His research interests, funded by industrial partners, the US government, and the UAE government include privacy-preserving computation and industrial control systems security. 

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Electrical Engineering Seminar

What:      EE Department Seminar

Title:       Cyber-Physical Power System Restoration for Holistic Disaster Resilience

Speaker:   , New York University

Date & Time: November 10, 2025, 2:00pm

Location:    Exhibit Room

Abstract: Modern power grids have evolved into massive-scale cyber-physical systems, with interdependence between information and communication (ICT) networks and physical power grids. Unfortunately, high-impact low-probability (HILP) events such as extreme weather events, natural disasters, and malicious cyber-physical attacks often affect cyber and physical systems simultaneously, leading to cascading failures propagated between the two domains. In this talk, we will present a coordinated cyber-physical restoration approach, where the failed components are restored and brought back online with optimal sequential decision-making on system restoration actions considering the cyber-physical interdependence. The cyber network restoration will be oriented by the observability and controllability needs of the physical grid, while the physical grid restoration will be assisted by the observability and controllability regained through cyber network restoration. The talk will demonstrate how the integration of cyber and physical knowledge and coordinated actions between the two domains can render a much more resilient smart grid infrastructure than siloed practices. 

Bio: Dr. Yuzhang Lin is an Assistant Professor in the Department of Electrical and Computer Engineering at New York University. His research interests focus on smart power grids, particularly in the aspects of data-driven modeling, situational awareness, cyber-physical resilience, and machine learning applications. He has published 5 book chapters and more than 50 journal papers, and his research has been widely supported by NSF, DOE OE/EERE/CESER/GDO, ONR, NYSERDA, national laboratories, and the power industry. He is currently working with many utilities in New York State on smart grid technology research, development and demonstration. He serves as the Co-Chair of the IEEE Power & Energy Society (PES) Task Force on Standard Test Cases for Power Systems State Estimation, and the Secretary of the IEEE PES Distribution System Operation and Planning Subcommittee. He is an Associate Editor of IEEE Transactions of Power Systems. He is a recipient of the NSF CAREER Award.

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