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 […]
Qingquan Sun
My research expertise and areas include Intelligent Sensing, Machine Learning, and Artificial Intelligence (AI) in Cyber-Physical System. Currently my research is focusing on the following two directions: 1) Data fusion enhanced human sensing with intelligent wireless sensors and deep learning technologies. This research aims to design and develop wireless sensor-based light-weight, low-cost, and efficient methods […]
Peiran Yu
Dr. Peiran Yu is an assistant professor at the Computer Science and Engineering department at the University of Texas at Arlington. She works on machine learning and optimization, with a focus on foundational models and scalable learning algorithms. Her work spans a range of topics including bilevel optimization, federated learning, and large language models (LLMs), […]
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 […]
Abdelfattah Amamra
My research focuses on advancing cybersecurity through innovative approaches in smartphone security, network security, IoT device security, by using machine learning. I investigate solutions to protect critical infrastructures from sophisticated threats such as intrusions using intelligent and adaptive defense mechanisms.
Kenny Zhu
Kenny’s main research areas are natural language processing and knowledge engineering, and his current interests are Animal Language Processing, NLP for mental health, and light-weight NLP. He has published extensively in NLP and AI venues such as ACL, EMNLP, NAACL, SIGMOD, AAAI, and IJCAI, and has served as the SPC or PC of these venues, […]
Shweta Jain
I am a systems developer with expertise in developing solutions for public good. I have utilized emerging technologies such as blockchain, large language models and foundational machine learning tools to develop applications that have societal impact. My past work includes eWitness, a Google Play app to register image provenance on Avalanche blockchain. I am currently […]
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 […]
Alex Dekhtyar
Alex Dekhtyar has a Ph.D. in Computer Science from the University of Maryland. Since 2007 he is on the faculty at Cal Poly, San Luis Obispo. His research interests include machine learning, data science, database systems, requirements engineering, and cross-disciplinary research that requires applied machine learning, data science, or database technologies, as well as Computer […]
Maksi Kutrolli
My research focuses on computer science, machine learning, and cybersecurity, with an emphasis on natural language processing (NLP). During my Master’s studies, I worked on projects like using transfer learning for spam detection, fine-tuning language models, and applying reinforcement learning in recommendation systems. I also implemented techniques like dimensional reduction, neural networks, and model stacking […]
