Computing and Security Technology

Major: Computing and Security Technology
Degree Awarded: Bachelor of Science in Computing & Security Technology (BSCST)
Calendar Type: Quarter
Total Credit Hours: 188.0
Co-op Options: Three Co-op (Five years); One Co-op (Four years)

Classification of Instructional Programs (CIP) Code: 11.1003
Standard Occupational Classification (SOC) Code: 15-1122

Note: The on-campus CST major (Full Time only) admits new and transfer students Fall Quarter.  The online CST major (Part Time only) admits transfer students Fall and Spring Quarters.

About the Program

The College of Computing & Informatics' Bachelor of Science in Computing & Security Technology (BSCST) prepares students for work related to the management and administration of large-scale computing infrastructure. Students gain experience with core information technology (IT) areas including servers, databases, networks, the Web, and computer security. The program places emphasis on practical education and fundamental concepts that are supplemented by laboratory experience.

Core courses provide students with practical knowledge and skills related to proprietary and open source servers, network administration, software development, database administration, and IT security. Students take advanced electives and a concentration in either Computing Technology or Computing Security. The advanced courses include topics such as: mobile applications, IT risk assessment, intrusion detection, security audits, and computer forensics. 

The degrees in Computing & Security Technology, Data Science, and Information Systems share a common first year. This allows students to easily switch among the degrees early in their studies. In addition, some of the electives in each degree are accessible to students in the other two majors and this provides a deeper and broader set of advanced topics for students in all three majors.

The BS in Computing & Security Technology is offered as a full-time, on-campus bachelor's degree program or as an online, part-time degree completion program for students who have already earned an associate's degree or have completed approximately two years of college work. Students are no longer being admitted to the on-site BSCST degree program that was offered at Burlington County College (BCC), Delaware County Community College (DCCC), and the Montgomery County Community College (MCCC). Students from these institutions are invited to apply to transfer into the online program or the on-campus program at Drexel. Also, students are no longer being admitted to the Drexel Saturday Scholars program.

For more information about this program, please visit the BS in Computing & Security Technology web page on the College of Computing & Informatics' website.

Degree Requirements

Students completing this major must select either a concentration in computing technology or a concentration in computing security.

Computing & Security Technology Core Requirements
CT 140Network Administration I3.0
CT 200Server I3.0
CT 210Open Server I3.0
CT 310Open Server II3.0
CT 320Server II3.0
CT 330Network Administration II3.0
CT 395Information Technology Security I3.0
CT 420Information Technology Security II3.0
Students completing this major must select either a concentration in Computing Technology or a concentration in Computing Security. see below27.0
Information Science Requirements
INFO 101Introduction to Information Technology3.0
INFO 105Introduction to Informatics3.0
INFO 108Foundations of Software3.0
INFO 151Web Systems and Services I3.0
or CT 230 Web Development I
INFO 152Web Systems and Services II3.0
or CT 240 Web Development II
INFO 200Systems Analysis I3.0
INFO 210Database Management Systems3.0
INFO 215Social Aspects of Information Systems3.0
INFO 310Human-Computer Interaction II3.0
INFO 355Systems Analysis II3.0
INFO 365Database Administration I3.0
INFO 420Software Project Management3.0
Computing & Informatics Requirements
CI 101Computing and Informatics Design I2.0
CI 102Computing and Informatics Design II2.0
CI 103Computing and Informatics Design III2.0
CI 491 [WI] Senior Project I3.0
CI 492 [WI] Senior Project II3.0
CI 493 [WI] Senior Project III3.0
Mathematics Requirements
Choose Mathematics Sequence12.0
Introduction to Analysis I
and Introduction to Analysis II
and Discrete Computational Structures
Calculus I
and Calculus II
and Discrete Computational Structures
Mathematical Analysis I
and Mathematical Analysis II
and Mathematical Analysis III
Natural Science Requirements *8.0
Liberal Studies Requirements
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
COM 230Techniques of Speaking3.0
Liberal Studies Electives **12.0
University Requirements
UNIV CI101The Drexel Experience2.0
or CI 120 CCI Transfer Student Seminar
CIVC 101Introduction to Civic Engagement1.0
COOP 101Career Management and Professional Development0.0
Free Electives 39.0
Total Credits188.0

Also choose Quantitative methods elective from any non-required MATH course, STAT 201, or SOC250

*

Students select any non-required courses from the following: ANAT, BIO, CHEM, ENVS, FDSC, NFS, PHEV, PHYS, HSCI, GEO, ENSS. 

**

Students select any non-required courses from the following: ANTH, COM, ENGL, HIST, PHIL, PSCI, PSY, SOC, WRIT, ECON, ENTP, ARTH, FMST, MUSC, TVST, VSST

Concentration in Computing Technology

Computing Technology Concentration Requirements
CT 295Public Key Infrastructure Technology3.0
CT 335Mobile Applications3.0
CT 350Network Administration III3.0
CT 415Disaster Recovery and Continuity Planning3.0
INFO 366Database Administration II3.0
Computing Technology Electives
Select two of the following:6.0
Wireless Network Security Technology
Network Auditing Tools
Information Technology Security Risk Assessment
Network Security II
Security Technology Electives
Select two of the following6.0
Computer Forensics I: Fundamentals
Security and Information Warfare
Information Technology Security Risk Assessment
Disaster Recovery and Continuity Planning
Total Credits27.0

Concentration in Computing Security

Computing Security Concentration Requirements
CT 212Computer Forensics I: Fundamentals3.0
CT 312Access Control and Intrusion Detection Technology3.0
CT 400Network Security3.0
CT 412Information Technology Security Policies3.0
CT 422Incident Response Best Practices3.0
CT 432Information Technology Security Systems Audits3.0
CT 472Security Defense Countermeasures3.0
Computing Security Electives
Select two of the following:6.0
Operating System Security Architecture I
Network Security II
Information Technology Security Risk Assessment
Disaster Recovery and Continuity Planning
Total Credits27.0

Concentrations: Sample Plans of Study

Computing Technology Concentration 

Term 1Credits
CI 101Computing and Informatics Design I2.0
INFO 101Introduction to Information Technology3.0
INFO 108Foundations of Software3.0
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
MATH 101
or 121
Introduction to Analysis I
Calculus I
4.0
UNIV CI101The Drexel Experience1.0
 Term Credits16.0
Term 2
CI 102Computing and Informatics Design II2.0
CIVC 101Introduction to Civic Engagement1.0
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
INFO 105Introduction to Informatics3.0
INFO 151
or CT 230
Web Systems and Services I
Web Development I
3.0
MATH 102
or 122
Introduction to Analysis II
Calculus II
4.0
COOP 101***Career Management and Professional Development0.0
 Term Credits16.0
Term 3
CI 103Computing and Informatics Design III2.0
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
INFO 215Social Aspects of Information Systems3.0
UNIV CI101The Drexel Experience1.0
MATH 180Discrete Computational Structures4.0
INFO 152
or CT 240
Web Systems and Services II
Web Development II
3.0
COOP 101***Career Management and Professional Development0.0
 Term Credits16.0
Term 4
CT 140Network Administration I3.0
CT 395Information Technology Security I3.0
INFO 200Systems Analysis I3.0
Free Electives6.0
 Term Credits15.0
Term 5
CT 330Network Administration II3.0
CT 420Information Technology Security II3.0
INFO 210Database Management Systems3.0
Free Electives6.0
 Term Credits15.0
Term 6
CT 200Server I3.0
CT 210Open Server I3.0
CT 212Computer Forensics I: Fundamentals3.0
Liberal Studies Elective3.0
Science Elective I4.0
 Term Credits16.0
Term 7
CT 320Server II3.0
CT 310Open Server II3.0
INFO 355Systems Analysis II3.0
Free Elective3.0
Science Elective II4.0
 Term Credits16.0
Term 8
CT 312Access Control and Intrusion Detection Technology3.0
INFO 310Human-Computer Interaction II3.0
INFO 365Database Administration I3.0
COM 230Techniques of Speaking3.0
Liberal Studies Elective3.0
Free Elective3.0
 Term Credits18.0
Term 9
CT 412Information Technology Security Policies3.0
INFO 420Software Project Management3.0
Computing Security Elective3.0
Free Elective6.0
 Term Credits15.0
Term 10
CI 491 [WI] Senior Project I3.0
CT 400Network Security3.0
Computing Security Elective3.0
Liberal Studies Elective3.0
Free Elective3.0
 Term Credits15.0
Term 11
CI 492 [WI] Senior Project II3.0
CT 422Incident Response Best Practices3.0
CT 432Information Technology Security Systems Audits3.0
Free Electives6.0
 Term Credits15.0
Term 12
CI 493 [WI] Senior Project III3.0
CT 472Security Defense Countermeasures3.0
Free Electives6.0
Liberal Studies Elective3.0
 Term Credits15.0
Total Credit: 188.0

Computing Security Concentration  

Term 1Credits
CI 101Computing and Informatics Design I2.0
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
INFO 101Introduction to Information Technology3.0
INFO 108Foundations of Software3.0
MATH 101
or 121
Introduction to Analysis I
Calculus I
4.0
UNIV CI101The Drexel Experience1.0
 Term Credits16.0
Term 2
CI 102Computing and Informatics Design II2.0
CIVC 101Introduction to Civic Engagement1.0
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
INFO 105Introduction to Informatics3.0
INFO 151
or CT 230
Web Systems and Services I
Web Development I
3.0
MATH 102
or 122
Introduction to Analysis II
Calculus II
4.0
COOP 101***Career Management and Professional Development0.0
 Term Credits16.0
Term 3
CI 103Computing and Informatics Design III2.0
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
INFO 215Social Aspects of Information Systems3.0
UNIV CI101The Drexel Experience1.0
INFO 152
or CT 240
Web Systems and Services II
Web Development II
3.0
MATH 180Discrete Computational Structures4.0
COOP 101***Career Management and Professional Development0.0
 Term Credits16.0
Term 4
CT 140Network Administration I3.0
CT 395Information Technology Security I3.0
INFO 200Systems Analysis I3.0
Free Electives6.0
 Term Credits15.0
Term 5
CT 330Network Administration II3.0
CT 420Information Technology Security II3.0
INFO 210Database Management Systems3.0
Free Electives6.0
 Term Credits15.0
Term 6
CT 200Server I3.0
CT 210Open Server I3.0
CT 350Network Administration III3.0
Liberal Studies Elective3.0
Science Elective I4.0
 Term Credits16.0
Term 7
CT 320Server II3.0
CT 310Open Server II3.0
INFO 355Systems Analysis II3.0
Free Elective3.0
Science Elective II4.0
 Term Credits16.0
Term 8
COM 230Techniques of Speaking3.0
INFO 310Human-Computer Interaction II3.0
INFO 365Database Administration I3.0
Computing Technology Elective3.0
Liberal Studies Elective3.0
Free Elective3.0
 Term Credits18.0
Term 9
INFO 366Database Administration II3.0
INFO 420Software Project Management3.0
Computing Security Elective3.0
Free Electives6.0
 Term Credits15.0
Term 10
CI 491 [WI] Senior Project I3.0
CT 295Public Key Infrastructure Technology3.0
Computing Security Elective3.0
Liberal Studies Elective3.0
Free Elective3.0
 Term Credits15.0
Term 11
CI 492 [WI] Senior Project II3.0
CT 335Mobile Applications3.0
Computing Technology Elective3.0
Free Electives6.0
 Term Credits15.0
Term 12
CI 493 [WI] Senior Project III3.0
CT 415Disaster Recovery and Continuity Planning3.0
Free Elective6.0
Liberal Studies Elective3.0
 Term Credits15.0
Total Credit: 188.0

Accelerated Degrees

The College of Computing & Informatics offers several Accelerated Degree programs designed to allow students to complete both a bachelor's and a graduate degree along with cooperative educational experience in fewer years than would be typical if pursuing the degrees separately. Students accepted in this program can combine any of the College bachelor's and master's degree programs as well as other options:

  • Any CCI BS/any CCI MS Accelerated Degree (BS & MS in five years, including 2 Co-ops)
  • Any CCI BS/MBA Accelerated Degree (BS/MBA)
  • Any CCI BS/JD Accelerated Degree (BS/JD)

For more information on the criteria for entering this program visit the BS/MS Accelerated Degree page on Drexel's website.

For more information on how to apply for the BS/MS Accelerated Degree program, please visit the College of Computing & Informatics' website.

Co-Op/Career Opportunities

Co-Op Options

Three co-op options are available for this program:

  • 5-year/3 co-op
  • 4-year/1 co-op
  • Accelerated Degree: 5-year/2 co-op

Co-op is not available for online students.

Career Opportunities

Graduates of the Computing and Security Technology program who complete a concentration in Computing Technology can pursue careers as information technologists and advanced technicians in a wide range of industries. Information technologists are capable of performing multiple IT tasks and accessing various information resources. The program gives students a unique set of applied skills that allow them to fill a number of roles as part of the information systems team. Graduates with a concentration in Computing Security pursue careers as advanced technicians who operate and administer the security tools, technologists who create and install security solutions, and leaders who define the security policies.

Job titles of recent computing and security technology graduates include:

  • Security Administrator
  • Chief Information Security Officer
  • IT Audit Manager
  • Project Manager
  • Lead Systems Engineer

Visit the Drexel Steinbright Career Development Center page for more information on career opportunities.

Facilities

Drexel University Libraries

Drexel University Libraries is a learning enterprise, advancing the University’s academic mission through serving as educators, supporting education and research, collaborating with researchers, and fostering intentional learning outside of the classroom. Drexel University Libraries engages with Drexel communities through four physical locations, including W. W. Hagerty Library, Hahnemann Library, Queen Lane Library and the Library Learning Terrace, as well as a vibrant online presence which sees, on average, over 8,000 visits per day. In the W.W. Hagerty Library location, College of Computing & Informatics students have access to private study rooms and nearly half a million books, periodicals, DVDs, videos and University Archives. All fields of inquiry are covered, including: library and information science, computer science, software engineering, health informatics, information systems, and computing technology. Resources are available online at library.drexel.edu or in-person at W. W. Hagerty Library.

The Libraries also make available laptop and desktop PC and Mac computers, printers and scanners, spaces for quiet work or group projects and designated 24/7 spaces. Librarians and library staff—including a liaison librarian for computing and informatics—are available for individual research consultations and to answer questions about materials or services.

iCommons

Located in Room 106 of the Rush Building, the College’s iCommons is an open lab and collaborative work environment for students. It features desktop computers, a wireless/laptop area, free black and white printing, more collaborative space for its students and a furnished common area. There is a fully equipped conference room for student use with a 42” display and videoconferencing capabilities. The iCommons provides technical support to students, faculty, and administrative staff. In addition, the staff provides audio-visual support for all presentation classrooms within the Rush Building. Use of the iCommons is reserved for all students taking CCI courses.

The computers for general use are Microsoft Windows and Macintosh OSX machines with appropriate applications which include the Microsoft Office suite, various database management systems, modeling tools, and statistical analysis software. Library related resources may be accessed at the iCommons and through the W.W. Hagerty Library. The College is a member of the Rational SEED Program which provides cutting-edge software development and project management software for usage in the iCommons and CCI classrooms. The College is also a member of the Microsoft Academic Alliance known also as “DreamSpark” that allows students free access to a wide array of Microsoft software titles and operating systems.

The iCommons, student labs, and classrooms have access to networked databases, print and file resources within the College, and the Internet via the University’s network. Email accounts, Internet and BannerWeb access are available through the Office of Information Resources and Technology.

Rush Building

The Rush Building houses classrooms, CCI administrative offices (academic advising, graduate admissions, faculty, etc.) and the iCommons computer lab (open to all CCI students). The building holds 6 classrooms equipped for audio-visual presentation. These rooms typically contain a networked PC, HD video player, ceiling mounted projectors, and other equipment for presentations and demonstrations. Four of these classrooms are fully equipped to function as laptop computing labs for networking, programming and database-related projects.

The Information Technology Laboratory, located in the Rush Building, consists of enterprise class information technology hardware that students would encounter in industry positions. The hardware includes 20 high powered workstations that are available to students and specialized networking lab simulation software. The hardware is networked and reconfigurable utilizing multiple virtual technologies as needed for the various classes the laboratory supports. In addition, a special system has been built into to the classroom to allow for conversion into a standard laptop computing lab utilizing motorized monitor lifts that allow the monitors and keyboards to recess into the desk.

University Crossings - Cyber Learning Center and Computer Lab

CCI also has classrooms, administrative office and faculty offices located in University Crossings, located at the corner of JFK Blvd. and Market Street. The building houses the Cyber Learning Center, a student computer lab, as well as several classrooms with video-conference enabled technology and media projection capabilities.

The Cyber Learning Center (CLC) provides consulting and other learning resources for students taking computer science classes. The CLC is staffed by graduate and undergraduate computer science students from the College of Computing & Informatics.

Both the CLC and UC Lab now serve as a central hub for small group work, student meetings, and TA assistance. The UC Lab is organized with desk space around the perimeter of the lab for individual or partner/pair-programmed student work, as well as with clusters of tables which can be connected as needed into pods to create workspaces for larger groups.

Research Laboratories

The College houses multiple research labs, led by CCI faculty, across Drexel’s main campus including: the Auerbach and Berger Families Cybersecurity Laboratory, Drexel Health and Risk Communication Lab, Socio-Technical Studies Group, Intelligent Information & Knowledge Computing Research Lab, Evidence-based Decision Making Lab, Applied Symbolic Computation Laboratory (ASYM), Geometric and Intelligent Computing Laboratory (GICL), High Performance Computing Laboratory (SPIRAL), Privacy, Security and Automation Laboratory (PSAL), Drexel Research on Play (RePlay) Laboratory, Software Engineering Research Group (SERG), Vision and Cognition Laboratory (VisCog) and the Vision and Graphics Laboratory. For more information on these laboratories, please visit the College’s research web page.

Alumni Garden

The Rush Building’s Alumni Garden provides additional collaborative space for students, faculty, professional staff and alumni. The Garden features wireless networking, tables with built-in power outlets, accessible covered patio and balconies and a bicycle rack. The Alumni Garden may be reserved for Drexel events.

3401 Market Street

3401 Market Street houses faculty offices and doctoral student workspaces. It also is home to College research groups such and University initiatives such as the Isaac L. Auerbach Cybersecurity Institute. The Institute’s Auerbach and Berger Families Cybersecurity Laboratory serves as University’s first training facility dedicated to identifying challenges and discovering solutions in the areas of cyber infrastructure protection and incident response.

Evaluations

The College of Computing & Informatics works continually to improve its degree programs. As part of this effort, the Computing & Security Technology degree is evaluated relative to the following Objectives and Outcomes.

BS Computing & Security Technology Program Educational Objectives

Within three to five years of graduating, alumni of the program are expected to achieve one or more of the
following milestones:

  • Be valued contributors to private or public organizations as demonstrated by promotions, increased responsibility, or other professional recognition
  • Contribute to professional knowledge as demonstrated by published papers, technical reports, patents, or conference presentations
  • Succeed in continuing professional development as demonstrated by completion of graduate studies or professional certifications
  • Display commitment and leadership within the profession and community as demonstrated by contributions towards society's greater good and prosperity

BS Computing & Security Technology Program Student Outcomes

The program enables students to attain, by the time of graduation:

  • An ability to apply knowledge of computing and mathematics appropriate to the program’s student outcomes and to the discipline
  • An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution
  • An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs
  • An ability to function effectively on teams to accomplish a common goal
  • An understanding of professional, ethical, legal, security and social issues and responsibilities
  • An ability to communicate effectively with a range of audiences
  • An ability to analyze the local and global impact of computing on individuals, organizations, and society
  • Recognition of the need for and an ability to engage in continuing professional development
  • An ability to use current techniques, skills, and tools necessary for computing practice

Computing & Informatics Faculty

Denise E. Agosto, PhD (Rutgers, The State University of New Jersey). Professor. Information behavior, public libraries, gender, children, young adults, multicultural materials.
Larry Alexander, PhD (University of Pennsylvania) Executive in Residence. Research Professor. Large scale modeling and simulation, pattern recognition, the future of information technology.
Yuan An, PhD (University of Toronto, Canada). Associate Professor. Conceptual modeling, schema and ontology mapping, information integration, knowledge representation, requirements engineering, healthcare information systems, semantic web.
David Augenblick, MS (University of Pennsylvania). Associate Teaching Professor. Introductory and object-oriented programming, data structures and database systems, computer application project management, application of computer programming principles and solutions to engineering problems.
Marcello Balduccini, PhD (Texas Tech University) Senior Research Scientist, Applied Informatics Group. Associate Research Professor. Logic programming, declarative programming, answer set programming, knowledge representation, various types of reasoning
Ellen Bass, PhD (Georgia Institute of Technology) Head of Department of Information Science; Joint Appointment with the College of Nursing and Health Professions. Professor. Characterizing human judgement and decision making, modeling human judgement when supported by information automation, computational models of human-human and human-automation coordination.
Mark Boady, PhD (Drexel University). Assistant Teaching Professor. Computer Algebra, complex symbolic calculations, automation of computation problems
Jennifer Booker, PhD (Drexel University). Associate Teaching Professor. Software engineering, systems analysis and design, networking, statistics and measurement, process improvement, object-oriented analysis and design, bioinformatics, and modeling of biological systems.
David E. Breen, PhD (Rensselaer Polytechnic Institute). Associate Professor. Self-organization, biomedical image/video analysis, biological simulation, geometric modeling and visualization
Matthew Burlick, PhD (Stevens Institute of Technology). Assistant Teaching Professor. Image processing, machine learning, real-time video tracking, object detection and classification, statistics/probability, and acoustics
Yuanfang Cai, PhD (University of Virginia). Associate Professor. Formal software design modeling and analysis, software economics, software evolution and modularity.
Christopher Carroll, MS (Drexel University). Assistant Teaching Professor. Information technology within healthcare companies, computer networking and design, IT infrastructure, server technology, information security, virtualization and cloud computing.
Bruce W. Char, PhD (University of California-Berkeley). Professor. Symbolic mathematical computation, algorithms and systems for computer algebra, problem-solving environments parallel and distributed computation.
Chaomei Chen, PhD (University of Liverpool). Professor. Information visualization, visual analytics, knowledge domain visualization, network analysis and modeling, scientific discovery, science mapping, scientometrics, citation analysis, human-computer interaction.
Catherine D. Collins, MLIS (Indiana University). Associate Teaching Professor. Knowledge management, collection development, management of information organizations, information sources and services, international development.
John D'Ignazio, MS (Carnegie Mellon University). Assistant Teaching Professor. Human information interaction, digital curation, design of information infrastructures, methods development to elicit and evaluate impact on information environments, metadata schemes.
Prudence W. Dalrymple, PhD (University of Wisconsin-Madison) Director, Institute for Healthcare Informatics. Research and Teaching Professor. User-centered information behaviors, particularly in the health arena, health informatics, evidence based practice, education for the information professions and evaluation, and translation of research into practice.
M. Carl Drott, PhD (University of Michigan). Associate Professor. Systems analysis techniques, web usage, competitive intelligence.
Andrea Forte, PhD (Georgia Institute of Technology). Associate Professor. Social computing, human-computer interaction, computer-supported cooperative work, computer-supported collaborative learning, information literacy.
Susan Gasson, PhD (University of Warwick). Associate Professor. The co-design of business and IT-systems, distributed cognition & knowledge management in boundary-spanning groups, human-centered design, social informatics, online learning communities, grounded theory.
Christopher Geib, PhD (University of Edinburgh). Associate Professor. Decision making and reasoning under conditions of uncertainty, planning, scheduling, constraint, based reasoning, human computer and robot interaction, probabilistic reasoning, computer network security, large scale process control, user interfaces.
Colin Gordon, PhD (University of Washington). Assistant Professor. Software reliability, program behavior, concurrent and systems-level code, formal assurance, programming models, distributed computing, even testing
Jane Greenberg, PhD (University of Pittsburgh) Alice B. Kroeger Professor. Metadata, ontological engineering, data science, knowledge organization, information retrieval
Rachel Greenstadt, PhD (Harvard University). Associate Professor. Artificial intelligence, privacy, security, multi-agent systems, economics of electronic privacy and information security.
Peter Grillo, PhD (Temple University) Associate Department Head for Undergraduate Affairs, Information Science. Teaching Professor. Strategic applications of technology within organizations.
Gregory W. Hislop, PhD (Drexel University) Senior Associate Dean for Academic Affairs. Professor. Information technology for teaching and learning, online education, structure and organization of the information disciplines, computing education research, software evaluation and characterization.
Xiaohua Tony Hu, PhD (University of Regina, Canada). Professor. Data mining, text mining, Web searching and mining, information retrieval, bioinformatics and healthcare informatics.
Jeremy R. Johnson, PhD (Ohio State University). Professor. Computer algebra; parallel computations; algebraic algorithms; scientific computing.
Weimao Ke, PhD (University of North Carolina at Chapel Hill). Associate Professor. Information retrieval (IR), distributed systems, intelligent filtering/recommendation, information visualization, network science, complex systems, machine learning, text/data mining, multi-agent systems, the notion of information.
Michael Khoo, PhD (University of Colorado at Boulder). Assistant Teaching Professor. The understandings and practices that users bring to their interactions with information systems, with a focus on the evaluation of digital libraries and educational technologies.
Xia Lin, PhD (University of Maryland). Professor. Digital libraries, information visualization, visual interface design, knowledge mapping, human-computer interaction, object-oriented programming, information retrieval, information architecture, information-seeking behaviors in digital environments.
Geoffrey Mainland, PhD (Harvard University). Assistant Professor. High-level programming languages and runtime support for non-general purpose computation.
Spiros Mancoridis, PhD (University of Toronto). Professor. Software engineering; software security; code analysis; evolutionary computation.
Gabriela Marcu, PhD (Carnegie Mellon University). Assistant Teaching Professor. Human-computer interaction, health informatics, action research, ethnography, user experience design, designing for social change, organizational information systems, ubiquitous computing, knowledge management.
Linda S. Marion, PhD (Drexel University). Teaching Professor. Formal and informal communication, bibliometric studies of scholarly communication, diffusion of information, information use in the social sciences, academic and public libraries, information science education.
Adelaida Alban Medlock, MS (Drexel University). Associate Teaching Professor. Introductory programming; computer science education.
William Mongan, MS (Drexel University) Associate Department Head for Undergraduate Affairs, Computer Science. Associate Teaching Professor. Service-oriented architectures, program comprehension, reverse engineering, software engineering, computer architecture, computer science education, engineering education outreach
Gaurav Naik, MS (Drexel University). Assistant Research Professor. Computer networking and cybersecurity
Delia Neuman, PhD (The Ohio State University). Professor Emeritus. Learning in information-rich environments, instructional systems design, the use of media for learning, and school library media.
Ko Nishino, PhD (University of Tokyo) Associate Department Head for Graduate Affairs, Computer Science. Professor. Computer vision, computer graphics, analysis and synthesis of visual appearance.
Danuta A. Nitecki, PhD (University of Maryland at College Park) Dean of Libraries. Professor. Library metrics and use in management, library as place, and academic library service models.
Krzysztof Nowak, PhD (Washington University). Associate Teaching Professor. Fourier analysis, partial differential equations, image processing, wavelets, asymptotic distribution of eigenvalues, numerical methods and algorithms, computer science education.
Santiago Ontañón, PhD (University of Barcelona). Assistant Professor. Game AI, computer games, artificial intelligence, machine learning, case-based reasoning
Jung-ran Park, PhD (University of Hawaii at Manoa). Associate Professor. Knowledge organization and representation, metadata, computer-mediated communication, cross-cultural communication, multilingual information access.
Alex Poole, PhD (University of North Carolina). Assistant Professor. Archives and records, digital humanities, digital curation, pedagogy, diversity and inclusivity in the LIS profession
Jeffrey L. Popyack, PhD (University of Virginia). Professor. Operations research, stochastic optimization, computational methods of Markov decision processes; artificial intelligence, computer science education.
William C. Regli, PhD (University of Maryland-College Park). Professor. Artificial intelligence; computer graphics; engineering design and Internet computing.
Lori Richards, PhD (University of North Carolina). Assistant Professor. Archives, digital curation, electronic records management, information technology and digital collections, cloud computing and record keeping, management of information organizations.
Michelle L. Rogers, PhD (University of Wisconsin-Madison). Associate Professor. Human-computer interaction, healthcare informatics, human factors engineering, socio-technical systems, health services research, patient safety.
Jeffrey Salvage, MS (Drexel University). Teaching Professor. Object-oriented programming, multi-agent systems, software engineering, database theory, introductory programming, data structures.
Dario Salvucci, PhD (Carnegie Mellon University) Department Head, Computer Science. Professor. Human computer interaction, cognitive science, machine learning, applications for driving.
Kurt Schmidt, MS (Drexel University). Associate Teaching Professor. Data structures, math foundations for computer science, programming tools, programming languages.
Ali Shokoufandeh, PhD (Rutgers University) Senior Associate Dean of Research. Professor. Theory of algorithms, graph theory, combinational optimization, computer vision.
Erin Solovey, PhD (Tufts University). Assistant Professor. Human-computer interaction, brain-computer interfaces, tangible interaction, machine learning, human interaction with complex and autonomous systems.
Il-Yeol Song, PhD (Louisiana State University) PhD in Information Studies Program Director. Professor. Conceptual modeling, ontology and patterns, data warehouse and OLAP, object-oriented analysis and design with UML, medical and bioinformatics data modeling & integration,.
Julia Stoyanovich, PhD (Columbia University). Assistant Professor. Data and knowledge management, big data, biological data management, search and ranking.
Brian Stuart, PhD (Purdue University). Associate Teaching Professor. Machine learning, networking, robotics, image processing, simulation, interpreters, data storage, operating systems, computer science, data communications, distributed/operating systems, accelerated computer programming, computer graphics.
Deborah Turner, PhD (University of Washington). Assistant Professor. Information behavior/interaction, management of information institutions, orality and information.
Kristene Unsworth, PhD (University of Washington). Assistant Professor. Information policy, ethics, government information.
Filippos Vokolos, PhD (Polytechnic University). Assistant Teaching Professor. System architecture, principles of software design and construction, verification and validation methods for the development of large software systems, foundations of software engineering, software verification & validation, software design, programming languages, dependable software systems.
Rosina Weber, PhD (Federal University of Santa Catarina). Associate Professor. Knowledge-based systems; case-based reasoning; textual case-based reasoning; computational intelligence; knowledge discovery; uncertainty, mainly targeting knowledge management goals in different domains, e.g., software engineering, military, finance, law, bioninformatics, and health sciences.
Erija Yan, PhD (Indiana University). Assistant Professor. Network Science, information analysis and retrieval, scholarly communication methods and applications.
Christopher C. Yang, PhD ( University of Arizona, Tucson). Associate Professor. Web search and mining, security informatics, knowledge management, social media analytics, cross-lingual information retrieval, text summarization, multimedia retrieval, information visualization, information sharing and privacy, artificial intelligence, digital library, and electronic commerce.
Valerie Ann Yonker, PhD (Drexel University). Associate Teaching Professor. Human service information systems, systems analysis and design, measurement in software evaluation, knowledge engineering.

Emeritus Faculty

Michael E. Atwood, PhD (University of Colorado) Associate Dean for Research and for Undergraduate Education. Professor Emeritus. Human-computer interaction, computer-supported cooperative work, organizational memory.
Thomas A. Childers, PhD (Rutgers University). Professor Emeritus. Measurement, evaluation, and planning of information and library services, the effectiveness of information organizations.
David E. Fenske, PhD (University of Wisconsin-Madison). Dean Emeritus and Professor. Digital libraries, informatics, knowledge management and information technologies.
John B. Hall, PhD (Florida State University). Professor Emeritus. Academic library service, library administration, organization of materials.
Katherine W. McCain, PhD (Drexel University). Professor Emeritus. Scholarly communication, information production and use in the research process, development and structure of scientific specialties, diffusion of innovation, bibliometrics, evaluation of information retrieval systems.
Carol Hansen Montgomery, PhD (Drexel University) Dean of Libraries Emeritus. Research Professor. Selection and use of electronic collections, evaluation of library and information systems, digital libraries, economics of libraries and digital collections.
Gerry Stahl, PhD (University of Colorado, Northwestern University). Professor Emeritus. Human-computer interaction, computer-supported cooperative work, computer-supported collaborative learning, theory of collaboration.
Howard D. White, PhD (University of California at Berkeley). Professor Emeritus. Literature information systems, bibliometrics, research methods, collection development, online searching.
Susan Wiedenbeck, PhD (University of Pittsburgh). Professor Emeritus. Human-computer interaction, end-user programming/end-user development, empirical studies of programmers, interface design and evaluation.
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