Program Description:
The Department of Computer Science and Engineering offers a program of graduate study leading to the Doctor of Philosophy degree in Computer Science and Engineering. The Ph.D. degree is awarded for demonstrated, scholarly excellence in study and research that provides a significant contribution to the fields of Computer Science or Computer Engineering. The program requires a concentration of study and research in specific areas of Computer Science and Engineering. Programmatic strength lies in the unique blend of faculty expertise, in the combination of theory with software and hardware design, and in the laboratory facilities available to the program. Most courses are offered in the late afternoon to allow practicing computer professionals to begin the program on a part-time basis. A student may be admitted to the Ph.D. Program in Computer Science and Engineering with a baccalaureate degree or a Master’s degree in Computer Science, Computer Engineering, or related areas and appropriate experience; satisfaction of the admission requirements as set forth by the Graduate School; and a record that indicates potential for a career in Computer Science and Engineering research. A student should come to the program with knowledge of high-level programming languages, data structures, real-time programming, computer organization, formal languages, operating systems and computer systems design; however, it may be possible to make up minor deficiencies after admission to the program by taking appropriate courses.
- Baccalaureate or master’s degree from an accredited institution in computer science, computer engineering, or related discipline with a grade point average of 3.3.
- Students must receive a score of at least 1150 (old scale) or 305 (new scale) on the Graduate Record Examination (GRE) general test portion and a minimum TOEFL score of 79-80 (Internet-based) or 550 (paper-based).
- GRE general test scores are required.
Admissions Requirements:
- Bachelor’s or Master’s in computer science, computer engineering or another science or engineering field
- Knowledge of computer organization, operating systems,data structures and either digital design or formal languages
- Minimum GPA of 3.0 if admitted with a Bachelor’s degree or a minimum GPA of 3.3 if admitted with a Master’s degree.
- GRE General Test scores are required but are waived for WSU-CECS graduates with a minimum GPA of 3.3 at the Bachelor’s level or a minimum GPA of 3.5 at the Master’s level. The GRE requirement is also waived for applicants with a Ph.D. degree in a science or engineering field, have published a paper In a competitive journal or conference, or can provide evidence of superior research accomplishment or potential
Facilities:
A wide range of computing systems interconnected via the campus-wide network support all the degree programs in the department. A variety of high-end and special-purpose systems are available for research through the Ohio Supercomputer Center. University and college systems include a variety of servers and workstations running current operating systems including Linux, Mac OS, and Windows. Department facilities provide specialized systems and support equipment tailored to specific curriculum and research areas. These include a Linux-based Operating Systems and Internet Security lab, an Immersive Visualization and Animation Theater lab, and a variety of workstations and personal computers providing software tools for project design and development. The program also has access to one of the most advanced visualization and presentation environments in the nation, the Appenzeller Visualization Laboratory, located in the Joshi Research Center. The Department has laboratories dedicated research in assistive technologies, RFID, vision interfaces and systems, medical image analysis, parallel and distributed computing, evolvable hardware, database systems, data mining, mobile information and communications, software engineering, artificial intelligence, adaptive vision, advanced computer networking, semantic web services oriented computing, scientific workflows, business process management, bioinformatics, and cyber security.
Faculty:
Professors
Nikolaos G. Bourbakis (Director, Assistive Technologies Research Center), information security (encryption, information hiding, compression, forensics), computer systems (distributed, formal languages, processors, modeling), applied artificial intelligence (knowledge representation, planning, learning, autonomous agents, natural language processing), machine vision and image processing (architectures, languages, algorithms), Robotics (navigation, grasping, 3-D space maps, walking), assistive technology (blind, deaf, paraplegic), biomedical (bioimaging, cells modeling, neuromorphic systems, brain surgery, brain biometrics, endoscopy, human-eye)
Chien-In Henry Chen (Department of Electrical Engineering), computer aided design, verification and testing of VLSI circuits and systems, specifically in digital analog, mixed-signal designs, and system-on-a-chip (SoC), VLSI and FPGA implementation of signal processing and communication systems like GPS and digital wideband receivers
Soon M. Chung, database, data mining, Grid computing, parallel processing, XML, multimedia, computer architecture
Guozhu Dong, database systems, data mining and knowledge discovery, data warehousing and integration, data cubes and OLAP, bioinformatics, knowledge management, information and internet security
Arthur A. Goshtasby (Graduate Program Director), computer vision, computer graphics, geometric modeling, medical image analysis
Jack Jean, high-performance computer architectures, RFID applications
Kuldip S. Rattan (Department of Electrical Engineering), fuzzy control, robotics, digital control systems, prosthetic/orthotics and microprocessor applications
Mateen M. Rizki (Chair), evolutionary computation, pattern recognition, image processing, machine intelligence
Amit P. Sheth (Director of Kno.e.sis Center), semantic web; information integration & analysis; services science; workflow management; data & knowledge intensive applications in biomedical, health care, and national security domain
Krishnaprasad Thirunarayan, semantic web: knowledge representation and reasoning, programming languages: specification, design and implementation
Bin Wang, communication networks, wireless sensor and mobile networks, UWB, dynamic spectrum access, cognitive radio, information theory, network coding, algorithm design, quality of service, dense wavelength division multiplexing (DWDM) optical networks, network security, network modeling, analysis, simulation, protocol design and development
Associate Professors
Travis E. Doom, bioinformatics, digital design automation, computer architecture and operating systems, optimization theory, and engineering education
John M. Emmert (Department of Electrical Engineering), physical VLSI design in nanoscale technologies, physical design automation for VLSI, mixed-signal design, built-in self-test, and fault tolerance for VLSI systems
John C. Gallagher, Adaptive and evolvable hardware, autonomous robotics, neural networks, machine intelligence, computational neuroscience
Pascal Hitzler, semantic web, knowledge representation, automated reasoning, mathematical foundations
Meilin Liu, embedded systems, compiler, loop transformation techniques, computer architecture, information security
Prabhaker Mateti, distributed computing, Internet security, formal methods in software design
Yong Pei, distributed computing, multimedia system and networking, sensor network, information theory, bio-networks, distributed signal processing
Michael L. Raymer, evolutionary computation, pattern recognition, bioinformatics, protein structure modeling, molecular evolution, forensic bioinformatics, computational toxicology
Shaojun Wang, machine learning, natural language processing, information theory
Thomas Wischgoll, scientific visualizations, biomedical imaging, flow visualization, information visualization, computer graphics, image processing and feature extraction
Assistant Professors
Keke Chen, secure and privacy-preserving computing, databases, data mining and information visualization, web science, and social computing
Junjie Zhang, cyber security
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