Multidisciplinary Research Activities

SCIS Research funding

Leading research though innovation

Our faculty are pursuing a diverse collection of research opportunities whose goals are the advancement of the computer science field of study, IT industry collaboration including technology transfer, and the pursuit of important societal problems faced by our many public and private sector partners. Our approach has also grown from traditional computer science themes such as algorithmic analysis and computer language development to one which embraces the integration of computing in fields like computational sciences, bioinformatics, disaster management, Geographical Information Systems, as well as cutting edge technology topics like cloud computing, social networks, cyber security, and highly reliable systems. Our research community firmly believes in a multi-disciplinary approach to solve both theoretical and applied computing problems.

Research Posters

Centers for Research Excellence in Science and Technology (CREST)»

Principal Investigator and Director: Dr. Naphtali Rishe

The CREST center focuses on the following research areas: High-confidence reactive software systems, multidimensional-multimodal data modeling and query research, assistive technology research based on the design and development of real-time assistive systems, and advanced information processing with neuroscience applications. This multidisciplinary research and educational center serves as a resource for the education of underrepresented minority students as well as a driving force to increase diversity in graduate education, especially at the Ph.D. level in computer science and engineering.

Partnerships for International Research and Education (PIRE)»

Principle Investigator: Dr. S. Masoud Sadjadi

PIRE prepares you to compete in the Global Information Technology Marketplace. SCIS students selected by the PIRE program will become part of a prestigious international research network focusing on using cyberinfrastructure to solve challenging societal problems while training a generation of globally-oriented IT professionals who will become leaders in industry and academia.

LA Grid»

Director: Dr. S. S. Iyengar

LA Grid, pronounced "lah grid," is an international multi-disciplinary research community and virtual computing grid enabling institutions and industry to extend beyond their individual reach to facilitate collaborative IT research, education and workforce development. LA Grid is the first-ever comprehensive computing grid to link faculty, students, and researchers from institutions across the United States, Latin America and Spain to collaborate on complex industry applications for business and societal needs in the context of healthcare, life sciences and disaster mitigation.

High Performance Database Research Center (HPDRC)»

Principal Investigator and Director: Dr. Naphtali Rishe

One of our research efforts is the High-Performance Database Research Center (HPDRC). HPDRC conducts research on such theoretical and applied issues as Internet-distributed heterogeneous databases, database design methodologies, database design tools, information analysis, multi-media databases, database languages, data compression, spatial databases, and data visualization. The Center also designs specific database systems for highly complex applications.

Systems Research Laboratory (SyLab)»

Director: Raju Rangaswami

Our goal at the Systems Research Laboratory (SyLab) is to conduct research in the area of Operating Systems. While we are interested in all problems related to Systems, lately, we have been developing new capabilities for storage systems and virtualized data centers. Some of the capabilities that we have developed recently address energy, performance, and self-management for storage systems and resource isolation and performance guarantees within virtualized systems.

Knowledge Discovery Research Group (KDRG)»

Director: Tao Li, Ph.D.

Our research explores two related topics on learning from data---how to efficiently discover useful patterns and how to effectively retrieve information. The interests lie broadly in data mining and machine learning studying both the algorithmic and application issues. The algorithmic aspects involve developing new scalable, efficient and interactive algorithms that can handle very large databases. The underlying techniques studied include clustering, classification, semi-supervised learning, similarity and temporal pattern discovery. The application issues focus on actual implementation and usage of the algorithms on a variety of real applications with different characteristics including bioinformatics, text mining, music information retrieval and event mining for computer system management.

Virtualized Infrastructure, Systems, and Applications»

Director: Ming Zhao (Ph.D.)

Virtualization is an enabling technology for creating important new system abstractions and addressing the various challenges faced by today's computing systems. The use of virtualization can span across computing systems of different sizes, from desktops to supercomputers, and across different layers of the systems, from virtual machines, virtual storage, to virtual networks.

The fundamental goal of the VISA Research Lab is to explore innovative techniques in virtualization as well as autonomics in order to effectively utilize the resources in large-scale, dynamic, and complex computing systems and to support the high-performance, robust, and secure computing of challenging applications from different domains. Currently, our team is focusing on several NSF and DHS funded project son virtual machines and virtual storage.

Affective Social Computing Lab (ASCL)»

Director: Christine L. Lisetti, Ph.D.

We are interested in research on affect, emotion, and personality at the intersection of research in Artificial Intelligence, Human-Computer Interaction, and Robotics. Emotional systems in humans influence important cognitive processes such as salience determination, focus and attention, priority determination, interruption in emergency situation, memorization and recall, goal generation, goal attribution, categorization, and preference. All these processes are important for intelligent systems with limited resources evolving in an unpredictable environment, including artificial ones (W. Clancey; N. Frijda; M. Minsky, D. Norman, A. Ortony, R. Picard, D. Rumelhart, H. Simon; A. Sloman; R. Zajonc).

Modeling and Networking Systems Research Group (MNSRG)»

Director: Dr. Jason Liu

Modeling and Networking Systems Research Group (MNSRG) conducts research in parallel and distributed simulation, high-performance modeling, simulation and emulation of computer networks and communication systems. The group mainly focuses on developing software tools and modeling techniques supporting for large-scale simulation of complex systems (such as the Internet and HPC systems) on high-performance parallel computing platforms.

Software Testing and Research Group (STRG)»

Faculty Coordinator: Peter J. Clarke

The Software Testing Research Group in the School of Computing and Information Sciences (SCIS) at FIU was formed during the 2004-2005 academic year. The STRG is comprised of a combination of Masters and PhD students, and top undergraduate students, working under the guidance of faculty coordinator Dr. Peter J. Clarke, Assistant Professor in the SCIS.

Center for Advanced Distributed System Engineering (CADSE)»

Director: Dr. Xudong He

Another of our research efforts is the Center for Advanced Distributed System Engineering (CADSE). CADSE Its mission is to establish a streamlined research, technology exploration and advanced training program in the field of distributed and Internet-based computing. The Center's R and D cover both theoretical and practical aspects of distributed software engineering, i.e. using engineering methods and technologies to tackle development problems of complex, reliable, and/or real-time distributed systems.

Distributed Multimedia Information Systems Laboratory (DMIS)»

Direcotr: Dr. Shu-Ching Cheng

Another of our research efforts is the Distributed Multimedia Information System Laboratory (DMIS). Its mission is to conduct leading edge research in multimedia database systems, data mining, networking and wireless, GIS and Intelligent Transportation Systems. Other research areas of this effort include Multimedia Communications and Networking, Digital Library, 3D Animation, Distributed Computing and WWW.

Bioinformatics Research Group (BioRG)»

Director: Giri Narasimhan

The mission of this research group is to work on problems from the fields of Bioinformatics and Biotechnology. The group's research projects includes Pattern Discovery in sequences and structures, micro-array data analysis, primer design, probe design, phylogenetic analysis, image processing, image analysis, and more. The group builds on tools and techniques from Algorithms, Data Mining, Computational Statistics, Neural Networks, and Image Processing.

Discovery Lab»

Director: Dr. S. S. Iyengar

Dr. Ram Iyengar leads the Discovery lab and a team of CIS researchers who are currently performing advanced research in areas of intelligent systems, advanced security systems, autonomous mobile robots, and sensor networks, and smart grids. The Discovery Lab provides an infrastructure to promote collaborative research among universitese and research organizations across the nation. In addition to adressing a comprehensive set of fundamental research topics, the Lab is pursuing commercialization, distinguishing itself from traditional reaserch labs through its focus on translating research discoveries into technology transfer outcomes. At the same time the laboratory provides students with the hands-on experiences they need to solve real-world challenges, develops student-led research opportunities, fosters students’ entrepreneurial skills, and trains a new generation of IT professionals who reflect the diversity of South Florida.

Telecommunications and Information Technology Institute (IT2)»

Director: Niki Pissinou, Ph.D. and S. S. Iyengar, Ph.D.

Funded by by the State of Florida, industry and federal government, the Telecommunications and Information Technology Institute (IT2) is a unique hub for research, technology transfer and education at the graduate and undergraduate levels. With a sustainable growth model as the basis for its development, IT2's portfolio now boasts cutting edge research, active alliances with industry and unique academic programs. It is now a leading resource for education, training, research and technology development in United States of America and abroad.

The Telecommunications and Information Technology Institute's researchcross traditional disciplinary boundaries to investigate a broad range of advanced topics in communications and computers. Its researchers model, design and implement systems that include these goals:

  • Pioneering new core technologies along with supportive algorithms, architectures, toolkits and prototypes.
  • Exploring ways to scale networks that are pervasive, unattended, and widely embedded throughout the physical environment.
  • Exploring research, development and commercialization in mobile and wireless communications, networks and software.
  • Creating new technologies and solutions utilizing networking, software and hardware solutions essential to the advancement and practical proliferation of new technologies.
  • Offering access to advanced multidisciplinary and collaborative research and real-world virtual applications support to the revolutionary next generation of telecommunications and information technologies.

To fulfill the Institute’s vision of developing next-generation technologies, the efforts of the research groups are segmented into a few, somewhat complementary thrusts that naturally coincide with industrial needs. The fundamental science and technologies are distinctively unique; hence, different approaches are required within each group. IT2's researchers have lead research efforts and development projects targeted at solving complex problems conducive to early identification of high impact solutions in a wide range of areas including security, privacy, wireless ad-hoc and sensor networks.

Industry/University Cooperative Research Center for Advance Knowledge Enablement (I/UCRC-CAKE)»

Director: Rathindra (Babu) DasGupta, Alex Schwarzkopf, Rita Virginia Rodriguez

The National Science Foundation's (NSF) FIU-FAU-Dubna Industry/University Cooperative Research Center for Advanced Knowledge Enablement (CAKE) was established to develop long-term partnerships among industry, academe and government. The Center is supported primarily by industry center members, with NSF taking a supporting role in its development, evolution, and core funding. The Center's mission is to conduct industry-relevant studies and deployments in the representation, management, storage, analysis, search and social aspects of large and complex data sets, with particular applications in geospatial location-based data, disaster mitigation, healthcare, transportation, and town planning.

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