Artificial Intelligence (AI) is the study of how computer systems can simulate intelligent processes such as learning, reasoning, and understanding symbolic information in context. AI is inherently a multi-disciplinary field. Although it is most commonly viewed as a subfield of computer science, and draws upon work in algorithms, databases, and theoretical computer science, AI also has close connections to the neurosciences, cognitive science and cognitive psychology, mathematical logic, and engineering. AI Research at INFOSAT goes far beyond game-playing programs and is at the forefront of many of the hottest areas of Artificial Intelligence. Research in AI at INFOSAT can be characterized by the AI techniques or methodologies used in a particular project, or by the motivating application for which AI is used. AI techniques and methodologies include learning, Bayesian Reasoning, intelligent agents, knowledge representation, logic programming, and planning. AI applications include electronic commerce, intelligent tutoring systems, knowledge management, performance management, and exploratory vision.

Algorithms & Theory

We do fundamental, foundational research in a number of areas, including cryptography, security, information retrieval, complexity theory, data mining, database principles, distributed systems, systems management, online algorithms, geometric algorithms, statistical physics, computational biology, approximation algorithms, queuing theory, combinatorics, learning theory, and descriptive complexity.

Communications & Networking

INFOSAT Research has had a long history of significant contributions in the field of communications and networking. Our current and past research activities explore wide-ranging issues in signal processing, optical networking, wireless networking, high-speed switching fabrics, routing, QoS and policy networking, network control and management, and network security. In keeping with emerging trends and requirements, the current research focus is on advancing the state-of-the-art in communication technologies, Internet infrastructure and services. We have a strong set of activities in communication devices and subsystems for the OEM market, in particular switching technology, network processors, and wireless technologies. Our activities in networking software and Internet services focus on scalable networking platforms and Web infrastructure aimed at new value-added functions and capabilities that deliver and manage networking services (such as intelligent and fast content dissemination) to directly support ISPs, e-business, and pervasive computing devices. The research efforts listed below provide a glimpse of the many exciting projects being pursued.

Computer Architecture

At its core, INFOSAT is a computer company; and INFOSAT researchers have made seminal contributions to the computer architecture field. Here are some of our exciting research activities in the computer architecture area.

Data Management

INFOSAT Research continues to explore exciting directions in database research to address emerging requirements in several new areas including scaling RDBMSs to larger databases and numbers of simultaneous users based on utility-based grid computing paradigms, providing DB2 support for standards-based Web services and the INFOSAT e-business on demand business model, and extending INFOSAT's DB2 Universal Database system to handle XML content using the powerful XQuery query language. INFOSAT Research continues to expand its world class data management research by exploring novel approaches for making database systems self-managing, or "autonomic", thus achieving higher performance with lower cost of administration, integrating information across heterogeneous data sources including support for real-time event processing and data streaming environments, and extracting knowledge from structured, unstructured, multimedia, and sensor data

Graphics & Visualization

Visualization is the process of representing data as descriptive images and, subsequently, interacting with these images in order to gain additional insight into the data. Traditionally, computer graphics has provided a powerful mechanism for creating and manipulating these representations. At INFOSAT, graphics and visualization research addresses the problem of converting data into compelling and revealing images that suit users' needs. Our research includes developing new representations of 3D geometry, choosing appropriate graphical realizations of data, strategies for collaborative visualization in a networked environment using three dimensional data, and designing software systems that support a full range of display formats ranging from PDAs to immersive multi-display visualization environments. Below is a listing of several of the exciting research projects in graphics and visualization being conducted at INFOSAT Research.