Electrical Engineering Grad Student Research Talks

Where:           Steinman Hall Exhibit Room

When:             12:30pm on March 18^th, 2025

Speakers:       Lea Manglicmot, Nafis Mustakim

Lea’s Bio:       Lea Manglicmot received her B.E. in Electrical Engineering from CCNY in 2023. Her research interests include grid modernization, electronics, and ML/AI applications in power systems. Lea has led ML projects with Cornell Tech, Verizon, and Google, and has been participating in competitive DOE-SC programs. Lea is currently interning at the National Renewable Energy Laboratory (NREL) where she helps establish and validate a real-time, scalable emulation of clean energy systems using physics-informed ML.

Nafis’ Bio:      I am a PhD student in the Department of Electrical Engineering at the City University of New York, City College. My research focuses on the fabrication of light-actuated artificial retinal prostheses, integrating advanced nanomaterials and microfabrication techniques to develop innovative solutions for vision restoration. My expertise includes gold nanorod synthesis and surface chemistry modification, as well as microfabrication techniques such as photolithography, wet etching, reactive ion etching (RIE), physical vapor deposition (PVD), and oxidation. Additionally, I have experience in biological wet lab environments and modifying devices to enhance biocompatibility. I am also proficient in polymeric thin film growth processes, including surface-initiated atom transfer radical polymerization (SI-ATRP) and photo-induced surface grafting.

RSVP Link:   https://forms.gle/wkxsnX1JdtUsG42L6

Description:   Join us for an exciting showcase of cutting-edge research at the Graduate Student Research Talks! This event is a unique opportunity to hear your peers present their latest discoveries, explore groundbreaking ideas across disciplines, and engage in thought-provoking discussions. Whether you're looking to gain insights into emerging research, connect with fellow scholars, or get inspired for your own work, this expo is the perfect space to exchange knowledge and foster collaboration. Come support your fellow graduate students, ask questions, and be part of an innovative academic community pushing the boundaries of discovery!

Don't miss this chance to experience the future of research firsthand—see you there!

Electrical Engineering Seminar

When:            9:45am on April 3^rd, 2025

Where:           Steinman Hall Exhibit Room

Speaker:         Dr. Lisa Brown                                                                                

Abstract:        In the first half of the talk, I will describe the history of computer vision, as I lived through it, in terms of my own research, and the related world events and technological advancements that co-occurred. I will review how the deep neural networks and GPUs of today evolved from the hand-crafted feature detectors and massively parallel vision computers. I will discuss how the early systems were precursors to modern algorithms and how the hardware capabilities played a central role.  In the second half of the talk, I will describe my current research in lineage construction for pre-implantation mouse embryogenesis.

Bio:     Dr. Brown joined the Center for Computational Biology (CCB) Flatiron Institute in 2020. She is working on designing and implementing a pipeline for the registration, segmentation, tracking and analysis of the mechanisms in morphology and genetic expression in embryonic development.

Prior to joining, she was a research staff member at the IBM T.J. Watson Research Center where she developed state-of-art computer vision systems using machine learning and robust real-time methods. She worked on spatio-temporal action detection using novel methods including adversarial training, sequential modeling, and motion from feature space. Her research spans a broad range of computer vision topics including self-calibration from scene context, pedestrian detection and counting, and visual search from attributes.   She has over forty patents and more than seven thousand citations.

She has a Ph.D. in computer science from Columbia University where she did her thesis on Multi-modal Medical Image Registration, and a B.A from Johns Hopkins University in mathematical science.

RSVP Link: https://forms.gle/wNw8hzizq9snqaXs5