Computer Vision addresses the problem of how to use computers to process visual information, including pictures and videos. Specific problems include detection and recognition of objects, features, or actions, segmentation of videos, and using image or video data in computational processes.
The common goal and purpose of the center is to strongly promote basic research in computer vision and its applications in all related areas including National Defense & Intelligence, Homeland Security, Environment Monitoring, Life Sciences and Biotechnology and Robotics.
The Mission of CRCV is to:
• Be the world class leader in research, commercialization, scholarship and education in computer vision.
• Conduct fundamental and applied research upon which future computer vision industries can be built.
• Provide the highest quality education and research experience in computer vision at all levels from K-12 to undergraduate to doctoral and postdoctoral levels to develop a highly skilled workforce for Florida's economic development.
Computer Vision website
Research in the Computational Imaging Lab. (CIL) bridges the three main areas of Image/Video Processing, Computer Vision, and Machine Learning. CIL’s mission is to promote state-of-the-art research and highest quality education on the intersection of these three areas of computer science and engineering. Recent research at CIL has focused on 3D modeling, imaging sensors, space imaging, medical imaging, subspace clustering, compressive sensing, deep learning, big data analytics, and the connection between visual information and the natural language semantics and ontology. Projects in CIL are funded by NSF, NASA, DoD, and industry.
University of Nottingham, 2010
Ph.D., Computer science; Pennsylvania State University, 1982
Power electronics, solar energy conversion circuits and systems, dc-to-dc conversion, dynamic and control of power converters, power factor correction.
Ph.D., Electrical Engineering, University of Illinois at Chicago, 1990
Distributed systems, network agents, ubiquitous computing, and knowledge representation
Ph.D., Purdue University, 2000
Cognitive radio networks, dynamic spectrum access, economic issues in networks, applied game and auction theories, ad hoc and sensor networks, resource management and QoS provisioning, mobile video delivery, subjective video quality assessment (QoE).
Ph.D., University of Texas at Arlington, 2002
Ph.D., Texas A&M, 2009
Computer Architechture, Intelligent Systems, Evolvable Hardwaredemara@ece.ucf.edu
Parallel computation, combinatorial computing, graph theory, network optimization algorithms, parallel algorithms/parallel data structures
Ph.D., Northwestern University, 1965
Computational complexity design and analysis of algorithms, graph firstname.lastname@example.org
Expertise in Java programming and Cisco enterprise networking equipment.
Ed.S., Nova Southeastern University, 1998
University of Central Florida (2013)
Ultra-low Power Brain-inspired (Neuromorphic), Non-Boolean and Boolean Computing Using Emerging Nanoscale Devices, Device/ Circuit/ Architecture Co-design for Ultra-low Power, High Performance System
Purdue University (2015)
Deep Learning, Computer VisionStevenLawrence.Fernandes@ucf.edu
Computer vision, computer graphics visualization, signal image processing, bayesian estimation & decision theory, multimedia communications stochastic processes optimization theory
Ph.D., INRIA, France, 1996
Ph.D. Texas A&M University College Station, 2005
Areas of Specialty:
Big Data, Data Analytics, Deep Learning, Artificial Intelligence, Innovation, Simulation, and Agent-Based Models, Complex Systems, Computational Economics, Evolutionary Computation, and Computational Social Sciences.
Computer vision, machine learning, domain adaptation, transfer learning, object and human activity recognition
Ph.D., University of Southern California, 2015
Artificial intelligence, Machine Learning, knowledge-based systems, automated diagnostics, intelligent simulations, validation and verification of knowledge based systems
Ph.D., University of Pittsburgh, 1979
MS, University of Wisconsin
Distributed systems, computer networks, security protocols, modeling and simulation, and computer graphics
Ph.D., University of Texas, 1970
Computer architecture, parallel computer architecture, active memory and I/O systems, scalable cache coherence protocols, system-area networks, multiprocessor simulation methodology, and hardware/software co-design.
Ph.D., Stanford University, 1998
University of Central Florida
Data mining, especially frequent pattern mining across massive biological networks; integrative approaches to identifying phenotype specific pathways; DNA motif discovery and regulatory network interface; gene/protein function prediction; integration of e
Ph.D., University of Southern California, 2006
Multimedia databases, multimedia information systems, multimedia communications, Internet computing, wireless networks, parallel and distributed systems
Ph.D., University of Illinois at Urbana Champaign, 1987
Mixed and virtual reality models of parallel and distributed computation theory of computation
Ph.D., Pennsylvania State University, 1970
Ph.D., Carnegie Mellon University, 2010
Ph.D., Brown University, 2005
Programming and specification language design and semantics, formal methods (program specification and verification), aspect-oriented languages, object-oriented languages, distributed languages, type theory, programming methodology, software engineering,
Ph.D., Massachusetts Institute of Technology, 1988
Capella University (2014)
Temporal databases, operating systems architecture
Ph.D., University of Central Florida, 1994
Computational vision, active vision and mobile robotics, visual modeling for graphics
Ph.D., University of Toronto, 1993
Parallel and distributed systems, computational sciences, quantum information processing
Ph.D., Polytechnic Institute Bucharest, 1976
Ph.D. University of Minnesota Twin Cities, 2012
Computer Architecture support for irregular problems, Parallel processing, Quantum Computing
Ph.D., Central University of Venezuela, 2004
Ed.D., Arizona State University, 2007
University of Nevada, Reno, 1998
Database systems, object oriented systems
Ph.D., Ohio State University, 1984
Realistic image synthesis and display, and visualization
Ph.D., Birla Institute of Science and Technology, 1993
Computer vision, gesture recognition, lipreading shape from shading, visual surveillance, visual motion, motion based recognition, optical flow
Ph.D. Computer Engineering, Wayne State University, 1986
Ph.D., University of Pennsylvania, 2002
The evolution of increasingly complex neural networks
Ph.D., University of Texas at Austin, 2004
multi-agent systems, machine learning, robotics
Ph.D., Carnegie Mellon University, 2007
Louisiana State University, 2014
Wireless ad hoc, sensor and vehicular networks, value of information and privacy in Internet of Things (IoT), big data in STEM education
Ph.D., University of Texas at Arlington, 2002
Computer Architecture, OS and High Performancejuwang@ece.ucf.edu
Research interests primarily focus on methods of natural computation, theory of coadaptive and coevolutionary computation, and application of coadaptive methods for multiagent learning.
George Mason University (2004)
Ph.D., University of Karlsruhe, 2003
Genetic algorithms, evolutionary computation visualization, machine learning
Ph.D., University of Michigan, 1995
Wireless circuit design for reliability, RF energy harvesting for biomedical applications, sensor interface circuits for internet of things, and secure integrated circuits using CMOS or emerging email@example.com
Computer Communication Networks, Wireless Systems, Optical Wireless, Spectrum Sharing, Network Economics and Architectures, and Network Managementmurat.firstname.lastname@example.org
Computational biology and bioinformatics
Ph.D., University of California, San Diego, 2007
Ph.D., University of Minnesota Twin Cities, 2015