معرفی
Ioannis D. Schizas is an Associate Professor in the Department of Electrical and Computer Engineering at The University of Texas at Arlington (UTA), with a primary appointment in the Nedderman College of Engineering. He joined UTA in 2011, progressing from Assistant to Associate Professor before being promoted to Full Professor (effective September 2024). His research focuses on machine learning, signal processing, distributed systems, and data mining, with applications in sensor networks, remote sensing, and graph-based learning.
Education: He holds a Diploma in Computer Engineering and Informatics (University of Patras, Greece, 2004), an M.Sc. (2007), and a Ph.D. (2011) in Electrical and Computer Engineering from the University of Minnesota.
Research Interests: Schizas' work spans machine learning algorithms, statistical signal processing, and distributed optimization. Key areas include clustering techniques, kernel methods, dimensionality reduction, and applications in wireless sensor networks, hyperspectral imaging, and multi-target tracking.
Publications: His recent work emphasizes scalable machine learning (e.g., kernel-based clustering, neural network pruning for IoT), distributed sensor data processing, and graph filtering for data reduction. Notable trends include fusion of modalities (e.g., hyperspectral unmixing) and real-time systems (e.g., video tracking).
Awards: He received the Outstanding Advisor Award (2024) and Advisor Excellence Award (2023) at UTA. His research has been supported by grants from the Army Research Office, AFOSR, and NSF, totaling over $1M in funding.
Advising & Grants: Schizas has advised numerous PhD/Master’s students on topics like kernel learning, distributed tracking, and data-driven techniques. His grants include projects on dynamic data-driven systems (e.g., multi-threat tracking, DDROSSIL framework).
Labs/Teams: His research group collaborates on projects involving distributed algorithms, sensor networks, and machine learning applications. Active collaborations exist with organizations like Adobe Systems and the Air Force Office of Scientific Research.
