Explanipedia

Cognitivism prevents us from understanding artificial intelligence Open

Mónica F. Bugallo · 2025

Critically-Damped Higher-Order Langevin Dynamics for Generative Modeling Open

Benjamin Sterling, Chad Gueli, Mónica F. Bugallo · 2025

Denoising diffusion probabilistic models (DDPMs) represent an entirely new class of generative AI methods that have yet to be fully explored. They use Langevin dynamics, represented as stochastic differential equations, to describe a proce…

Particle Markov Chain Monte Carlo Approach to Inference in Transient Surface Kinetics Open

Marija Iloska, J. Anibal Boscoboinik, Qin Wu, Mónica F. Bugallo · 2025

In this work, we develop a novel Bayesian approach to study the adsorption and desorption of CO onto a Pd(111) surface, a process of great importance in natural sciences. The motivation for this work comes from the recent availability of t…

Fusion of Information in Multiple Particle Filtering in the Presence of Unknown Static Parameters Open

Xiaokun Zhao, Marija Iloska, Yousef El-Laham, Mónica F. Bugallo · 2024

An important and often overlooked aspect of particle filtering methods is the estimation of unknown static parameters. A simple approach for addressing this problem is to augment the unknown static parameters as auxiliary states that are j…

Critically Damped Third-Order Langevin Dynamics Open

Benjamin Sterling, Mónica F. Bugallo · 2024

While systems analysis has been studied for decades in the context of control theory, it has only been recently used to improve the convergence of Denoising Diffusion Probabilistic Models. This work describes a novel improvement to Third- …

Board 191: A Model for Engineering Education Professional Development for K-12 Science Teachers Open

Kathleen Dinota, Mónica F. Bugallo · 2024

As the Next Generation Science Standards (NGSS) have been adopted and implemented across the US, K-12 teachers are tasked with finding ways to incorporate engineering practices in their science lessons, despite having little formal trainin…

Board 381: Serving Community Needs while Sharpening Engineering Skills Open

Urszula Zalewski, Marianna Savoca, Mónica F. Bugallo · 2024

This project, A National Model for an Undergraduate Women in Science and Engineering (WISE) Program, includes a novel experiential course, Service Learning in STEM, which aimed to create opportunities for students to apply their technical …

Welcoming and Building Community for Graduate Students Through Remote Tech Environments Open

Marianna Savoca, Rachel F. Perlman, Kimberly Bell, Mónica F. Bugallo · 2024

Creating community among new graduate students in a COVID world prompted the development of a two-week virtual orientation program for engineering and applied sciences graduate students at a research university. Despite the complexity of m…

Cognitive Load, Transfer, and Instructional Decision-Making in an Informal Middle School STEM Integration Program Open

Angela M. Kelly, Mónica F. Bugallo · 2024

A challenge associated with Next Generation Science Standards (NGSS) implementation is the meaningful integration of science and engineering knowledge and skills in precollege teaching and learning. Instructors in informal settings have pi…

Early exposure to STEM research as a foundational experience for STEM careers Open

Marianna Savoca, Karen Kernan, Catherine Scott, Mónica F. Bugallo · 2023

The benefits of undergraduate research to student persistence and success has been established in the literature. Less studied, however, is the long term impact of early exposure to research among students from underserved backgrounds.This…

Addition of transient kinetics capabilities to an infrared reflection absorption spectroscopy system through synchronized gas pulsing and data acquisition Open

Zubin Darbari, Marija Iloska, Mónica F. Bugallo, J. Anibal Boscoboinik · 2022

Streaming Variational Monte Carlo Open

Yuan Zhao, Josue Nassar, Ian Jordan, Mónica F. Bugallo, Il Memming Park · 2022

Nonlinear state-space models are powerful tools to describe dynamical structures in complex time series. In a streaming setting where data are processed one sample at a time, simultaneous inference of the state and its nonlinear dynamics h…

A University-designed Middle School Remote Summer Engineering Academy Open

Zahraa Krayem Stuart, Mónica F. Bugallo, Kathleen Dinota, Hechuan Wang, Amanda Esposito · 2021

University-designed Middle School Virtual Engineering Summer Camp The K-12 education platform has drastically taken a different route since the emergence of the COVID-19 global pandemic. With the classroom being transitioned online, educat…

An NSF-LSAMP Model for the Successful Transition of Underrepresented Students into STEM Majors and Beyond Open

Lauren Donovan, Mónica F. Bugallo, Thomas Woodson, Candice Foley, Shanise Kent , et al. · 2021

The underrepresentation of students in STEM disciplines has been a consistent issue in higher education. Institutions have developed innovative programs and implemented policies to mitigate the challenges that historically underrepresented…

Adaptive Importance Sampling Via Auto-Regressive Generative Models and Gaussian Processes Open

Hechuan Wang, Mónica F. Bugallo, Petar M. Djurić · 2021

The quality of importance distribution is vital to adaptive importance sampling, especially in high dimensional sampling spaces where the target distributions are sparse and hard to approximate. This requires that the proposal distribution…

Table of Contents Open

Mónica F. Bugallo, A.G. Constantinides, Danilo P. Mandic, Alan V. Oppenheim, Roberto Togneri , et al. · 2021

Innovation Starts With Education [From the Guest Editors] Open

Mónica F. Bugallo, A.G. Constantinides, Danilo P. Mandic, Alan V. Oppenheim, Roberto Togneri · 2021

The articles in this special section focus on ways to deliver both innovative educational content and the core signal processing curriculum to current electrical engineering and computer science degrees in order to provide high-quality and…

NGSS-based teacher professional development to implement engineering practices in STEM instruction Open

Kimberly B. Christian, Angela M. Kelly, Mónica F. Bugallo · 2021

Particle Filtering Under General Regime Switching Open

Yousef El-Laham, Yang Liu, Petar M. Djurić, Mónica F. Bugallo · 2020

In this paper, we consider a new framework for particle filtering under model uncertainty that operates beyond the scope of Markovian switching systems. Specifically, we develop a novel particle filtering algorithm that applies to general …

The Power of Peer Mentoring of Undergraduate Women in Engineering: Fostering Persistence through Academic and Social Integration Open

Jennifer Gatz, Angela M. Kelly, Mónica F. Bugallo · 2020

The academic and social integration of women in engineering majors does not occur in a vacuum. With the goal of expansion and improvement of educational and professional STEM opportunities for women, this convergent parallel mixed methods …

University-Designed Middle School Science Experiences Aligned with NGSS Open

Zahraa Stuart, Angela M. Kelly, Mónica F. Bugallo · 2020

The adoption of the Next Generation Science Standards (NGSS) by many U.S. states involves the inclusion of engineering practice in science instruction to better equip and prepare students with sufficient engineering literacy prior to colle…

ICASSP 2020 Organizing Committee Open

Ana I. Pérez-Neira, Xavier Mestre, Markus Rupp, Christian Jutten, Pascale Fung , et al. · 2020

Highlights From the Signal Processing Theory and Methods Technical Committee [In the Spotlight] Open

J.C.M. Bermudez, Mónica F. Bugallo, A. van Veen · 2020

Reports on new SPS society officers and committees.

EUSIPCO 2019: A Chronicle of the 27th European Signal Processing Conference in A Coruna, Spain: Looking Into the Future of Signal Processing [Conference Highlights] Open

Mónica F. Bugallo, Luis Castedo · 2020

Presents informationon on the 27th European Signal Processing Conference in A Coruna, Spain: Looking Into the Future of Signal Processing [Conference Highlights]

Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes] Open

Vı́ctor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djurić · 2019

Sequential Monte Carlo methods, also known as particle filtering, have seen an explosion of development both in theory and applications. The publication of [1] sparked huge interest in the area of sequential signal processing, particularly…

Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum] Open

Victor Solo, Maria Greco, Danilo P. Mandic, Petar M. Djurić, Andreas Spanias , et al. · 2019

The anniversary of a number of sig-nificant signal processing algo-rithms from the 1960s, including the least mean square algorithm and the Kalman filter, provided an oppor-tunity at ICASSP 2019 to reflect on the links between education an…

Table of Contents Open

Maria Greco, Jian Li, Teng Long, Abdelhak M. Zoubir, Igal Bilik , et al. · 2019

Part 2 of this special issue of IEEE Signal Processing Magazine continues with articles regarding the techniques applied in different scenarios by different systems, focusing particularly on some of the new civil and commercial application…

Streaming Variational Monte Carlo Open

Yuan Zhao, Josue Nassar, Ian Jordan, Mónica F. Bugallo, Il Memming Park · 2019

Nonlinear state-space models are powerful tools to describe dynamical structures in complex time series. In a streaming setting where data are processed one sample at a time, simultaneous inference of the state and its nonlinear dynamics h…

Generalized Multiple Importance Sampling Open

Vı́ctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo · 2019

Importance Sampling methods are broadly used to approximate posterior\ndistributions or some of their moments. In its standard approach, samples are\ndrawn from a single proposal distribution and weighted properly. However, since\nthe perf…

Approaches to Prediction of Cyber Events: Report of the 2017 Specialist Meeting by the North Atlantic Treaty Organization (NATO) Research Group IST-145-RTG Open

Dennis H. McCallam, Tracy Braun, M Wunder, Ewerton Santos, Teodor Sommestad , et al. · 2019

Traditional approaches for gaining cyber domain situational awareness seldom consider factors associated with the adversary’s capabilities and behaviors. The 2017 NATO Specialist Meeting, IST-145, on Predictive Analytics and Analysis in th…

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