Welcome to the homepage of the Research on Optical Sciences, Engineering, and Systems (ROSES) group of the Ateneo Department of Physics and the Ateneo Innovation Center!
About our group
AIC-ROSES started in 2017 as a publication-driven, education-by-research model of engaging undergraduate students in the Department of Physics, School of Science and Engineering, Ateneo de Manila University, Philippines. This model was conceptualized and executed by Dr. Benjamin B. Dingel remotely, while in New York as the R&D Director of Nasfine Photonics.
AIC-ROSES established itself as an official research group under the Ateneo Innovation Center in August 2020. Now with 20 student members and 19 publications, our group deals with both theoretical and experimental research areas. We study scientific analogues and their implementations in multilayer optics and photonics. We also study optical engineering in microwave photonics, sensing in networks, and photonic integration. Additionally, we have branched out to hybrid optic and electronic systems and mathematical physics methods.
Updates
[2024] We're hiring! The Ateneo ROSES Lab is currently looking for electronic and computer engineers.
[2023 June] The Ateneo ROSES Lab congratulates Kent C. Soria for his promotion to part-time faculty in the Ateneo de Manila University - Department of Physics.
[2023 April 15] Ateneo ROSES Lab Online Seminar #85. Dr. Eliezer Estrecho from The Australian National University gave a talk on Learning from loss using quantum fluids of light
Events
November 2023
The Ateneo ROSES Laboratory were honored to attend the first face-to-face meeting of the E-Asia Joint Research Project held in Bangkok, Thailand from November 9 - 11, 2023.
Recent Publications
Einstein: A proposed activation function for convolutional neural network (CNN) in image classification and its comparison to ReLU, Leaky ReLU, and Tanh
Abstract: Activation functions (AFs) are integral in enabling convolutional neural networks (CNNs) to perform image classification and recognition effectively. Here, we propose a new AF called "Einstein"— a novel, piecewise, and dynamic AF defined by parameter r ...
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