Areas of Research Concentration

Research Areas

• Algorithms and Theory

• Augmentative Technology for the Handicapped

• Computer Networks and Distributed Systems

• Computer Science Education

• Computer Security and Information Assurance

• Computer Vision and Information Visualization

• Databases

• High-Performance and Grid Computing, Cyberinfrastructure, and Computational Science

• Knowledge Representation, Computational Linguistics, and Cognitive Science

• Medical Applications and Bioinformatics

• Multimedia Databases and Information Retrieval

• Pattern Recognition, Machine Learning, and Data Mining

• Programming Languages and Software Systems

• VLSI and Computer Architecture

Research Centers, Labs, and Groups Home Pages

• Center for Unified Biometrics and Sensors

• Center of Excellence for Document Analysis and Recognition

• Center of Excellence in Information Systems Assurance Research and Education

• Bioinformatics Research Group

• Database and Multimedia Research Group

• Distributed Systems Research Group

• Knowledge Media Lab

• Laboratory for Advanced Network Design, Evaluation, and Research

• Language Research Group

• Logical Foundations of Databases Research Group

• Multimedia Information Retrieval

• MultiStore Research Group

• Security, Dependability, and Test Design Automation (SPIDER)

• SNePS Research Group

Facilities

• About Facilities

• Labs

• Special-Purpose Computing

• Research Computing

• Faculty/Staff Computing

• Infrastructure

Departmental Technical Reports

• Technical Report Archive

• Technical Reports submission instructions

• CSE Library and Research Resources

Department Facilities

General Student Labs | Special Purpose Computing | Research Computing | Faculty/Staff Computing | Infrastructure

About Facilities

In addition to the specialized facilities in our research centers and labs, our general research facilities include more than 100 Sun, PC, and thin-client workstations. Server systems include two SunFire V880s, a Sun Ultra Enterprise 450, several Sun Ultra60/2360s, several Sun Ultra 10s, a Sun Fire V20z and a NetApp 940 totaling 7 terabytes of disk space. Computer-intensive processing is handled by two Sun Ultra 80s with four CPUs and 4 gigabytes of memory each. Windows machines and laser printers are all readily available.

Department systems are connected to the university backbone by a gigabit Ethernet port directly on a gigabit router. Our internal networking is a mix of 100BaseT and gigabit Ethernet. The university has an OC3 link to the Internet and an additional OC3 link to Internet2.

General Student Labs

These labs are where most instructional computing is done, as well as any research computing for which a separate research lab is not available. In addition to the CSE departmental labs listed below, our students have access to computing facilities provided by:

• School of Engineering Node Services
• Computing & Information Technology

Introduction to Computer Science I and I
Lab CSE 115 and 116 students have access to the CSE lab in 21 Baldy Hall. This lab is open during scheduled consulting hours. It contains:

• 25 Sun Ray 150 thin-client workstations  

The servers for this lab include:

• Sun Ultra 60 Model with 2360 512Mb memory and 230Gb disk space: Mail server (hadar.cse.buffalo.edu)
• Sun Fire V20z with two AMD Opteron processors and 4Gb memory: Sunray terminal server (styx.cse.buffalo.edu)
• NetApp 940 with 6.9 Tb disk space: File server (vulcan.cse.buffalo.edu)

Patricia James Eberlein Memorial Lab
CSE Students have 24-hour access to the CSE lab in Bell 216 which contains:

• 26 SunRay workstations
• 4 Windows workstations

The servers for the lab and research systems include:

• Sun Ultra 60 Model with 2360 512Mb memory and 230Gb disk space: Mail server (hadar.cse.buffalo.edu)
• NetApp 940 with 6.9 Tb disk space: File server (vulcan.cse.buffalo.edu)
• SunFire V880 with six 750MHz processors and 12Gb of memory: Interactive compute and timeshare/xdm server (pollux.cse.buffalo.edu)
• SunFire V880 with four 900MHz processors and 8Gb of memory: Batch compute server (pegasus.cse.buffalo.edu)
• Sun Enterprise 450 Model 4400 with four 400MHz processors and 4Gb of memory: Interactive compute and timeshare server (yeager.cse.buffalo.edu)
• Sun v20z with two AMD Opteron processors and 4Gb of memory Interactive compute and timeshare server (coldplay.cse.buffalo.edu)

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Special Purpose Computing

Special purpose computing resources available to researchers, students taking certain courses, and all CSE students include:

• Oracle Database server
• Web server that allows students to experiment with some of the more advanced web technologies
• A color laser printer is available to students who have faculty approval (contact the CSE Help Desk)

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Research Computing

Research computing in CSE is done using various departmental research labs, faculty and graduate student workstations and servers. The CSE labs and servers are also used for graduate student and faculty research computing. In addition to the CSE labs, supported graduate students have workstations or X terminals on the desks in their offices that are used for their research. For compute-intensive processing, we have a SunFire V880 with four CPUs and eight gigabytes of memory. The CSE research labs include:

• CSE Database and Multimedia Research Lab
• Security, Privacy and Dependability Research Lab (SPIDER)
• Center of Excellence for Document Analysis & Recognition
• Lab for Advanced Network Design, Evaluation & Research

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Faculty/Staff Computing

Faculty and staff of the Department of Computer Science and Engineering use a network of Sun, Mac and Windows workstations, along with associate servers and printers for their research, teaching, and document preparation computing.

The computing facilities of the administrative staff in the CSE department include a network of Mac and Windows workstations, with access to Windows file servers and UNIX Samba-based file servers, as well as five laser printers.

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Last but not least there are a handful of systems strictly for services such as routing of e-mail, Web/FTP Servers, Domain Name Service, etc., as well as the basic networking support.

The CSE department's network is connected with gigabit ethernet to the University Backbone network which is a gigabit fiber-optic network. Internally the department's network is a mixture of gigabit and 100BaseT ethernet subnets. A pictoral view of the CSE department network is available.

Through NYSERNet and AppliedTheory, the university has an FDDI link to T3 connections to the Internet (through ALTERnet and SprintLink). The university is also directly connected to Internet-2. Dialup access, including PPP, is available via the university's dialup facilities.

Files are regularly backed up to tape, using DLT4000 and DLT7000 tape drives, as well as an Sun L-180 LTO tape library.

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	Did You Know

CSE faculty averages some $4.5 million annually in grants for research in areas that range from high-performance computing to data mining.

CSE faculty are major participants in the new $200 million Buffalo Center of Excellence in Bioinformatics.

CSE's MultiStore Research Group is funded by a $1 million NSF grant for the development of high-performance online data-storage systems.

A CSE-affiliated research center developed the systems that postal agencies around the world use for automatically sorting hand-addressed mail.

CSE faculty work with researchers in chemistry, the life sciences, the pharmaceutical sciences, media study, geography, and many other disciplines.

The CSE-affiliated Center for Computational Research is one of the leading academic supercomputing centers in the U.S.

The CSE faculty includes NSF CAREER award holders and ACM, IEEE, and AAAI fellows.

A geometric algorithm developed by CSE professor Jinhui Xu configures a set of radiation beams to destroy brain tumors in a form of computer-aided surgery.

CSE professor Aidong Zhang is developing intelligent content-analysis programs to automatically analyze images, replacing human coding of semantic content.

CSE professor Russ Miller is one of the authors of a program that can determine the structure of molecules as large as 2,000 atoms from X-ray diffraction patterns.

Pursuing work on document verification and identification, CSE researchers use machine-learning algorithms to study handwriting variability.