Eliana Valenzuela-Andrade
Dr. Eliana Valenzuela-Andrade is a computing educator and researcher whose work bridges technical innovation with inclusive educational practices. Her research focuses on database systems, data mining, and robotics—particularly educational and swarm robotics—as platforms to enhance engagement with computer science from K–12 through undergraduate levels. With over a decade of experience, she develops and studies interactive […]
Alzaid
My research expertise centers on the integration of emerging technologies in education, with a focus on data-driven methods to enhance learning experiences. I specialize in applying data science and analytics to understand the impact of educational technologies, particularly educational computer games, on students’ cognitive and affective learning outcomes. Through advanced techniques such as gameplay data […]
Michael A. Álvarez-Navarro
Michael Alvarez is currently an Assistant Professor in the Computer Science Department at the University of Puerto Rico, Río Piedras. His research interests include computational imaging, computer vision, and biomedical applications—particularly light propagation modeling for Smart Health initiatives—primarily using machine learning and deep learning algorithms. His work focuses on estimating properties and enhancing features in […]
Wilfredo Lugo Beauchamp
My research bridges the gap between machine learning and edge computing, with a focus on enabling real-world, resource-constrained applications in agriculture, environmental monitoring, and healthcare. Drawing from my background in industry and academia, I lead efforts that emphasize model compression, low-power inference, and system-level integration for embedded and edge devices. My team and I design […]
Shubhra Kanti Karmaker Santu
I am the founding director of the Bridge-AI Lab at UCF, where my students and I work together to create new technologies to bridge the current gaps between humans and AI tools to democratize AI beyond the tech-savvy communities. My long-term research goal is centered around addressing the following question: “How can we make AI/Data […]
Kaoutar Ben Ahmed
Dr. Kaoutar specializes in the application of Artificial Intelligence (AI) to healthcare, with a focus on bridging machine learning and bioinformatics. AI offers unprecedented opportunities to improve patient care through more accurate and efficient clinical decision support systems. Dr. Kaoutar’s research addresses the challenges of developing reliable, interpretable AI models that can be effectively deployed […]
Venkataramani Kumar
Venkataramani Kumar currently works as Assistant Professor in the Department of Computer Science and Engineering (CSE) at University of Puerto Rico, Mayaguez. His areas of research interest includes cybersecurity, wireless communications, IoT, AI and ML. He has worked on multiple projects in the past such as “Seamless IoT Platforms”, and “Simplified Autoencoder Design for Channel […]
Amrit Singh Bedi
I work at the intersection of stochastic approximation, optimization, and machine learning to develop new approaches for state-of-the-art machine learning problems. I am currently focussing on the development of safe, robust, and adaptive artificial intelligence algorithms.
Hao Yue
Hao Yue is an Associate Teaching Professor of the Computer Science and Engineering Department at University of California, Santa Cruz. His research interests are in computer science and engineering education, with a focus on developing innovative curricula, pedagogical methods, and technologies to reduce learning barriers and eliminate equity gaps. He has secured multi-million-dollar funding from […]
Chengyuan Zhuang
Chengyuan Zhuang is an Assistant Professor in the Department of Computer Science at the University of Puerto Rico at Río Piedras. His research interests include, but are not limited to, computer vision, deep learning, artificial intelligence, remote sensing, and environmental science. He has published papers in journals with high impact scores and in international conferences. […]
