Department of Computer Engineering and Sciences

Philip J. Bernhard, Ph.D., Head

Professors

William W. Arrasmith, Ph.D., unconventional detection methods, imaging systems, adaptive optics, atmospheric turbulence compensation, infrasound propagation and modeling, virtual/mixed/augmented reality, and systems engineering.

Marco Carvalho, Ph.D., intelligent communication and information systems, network and computer security.

Samuel P. Kozaitis, Ph.D., automated feature extraction, image processing.

Brian A. Lail, Ph.D., antenna-coupled sensors, computational and applied electromagnetics, EMI, EMC.

Debasis Mitra, Ph.D., artiﬁcial intelligence, spatial and temporal reasoning.

Syed H. Murshid, Ph.D., photonics, fiber-optic sensors, acoustic and fiber-optic communications, power electronics, instrumentation.

Marius C. Silaghi, Ph.D., cryptology, speech recognition, multi-party computation.

Associate Professors

William H. Allen III, Ph.D., computer networks, digital forensics, computer and network security.

Georgios C. Anagnostopoulos, Ph.D., machine learning, pattern recognition.

Philip J. Bernhard, Ph.D., database systems, theory of computation.

Philip K. Chan, Ph.D., scalable adaptive methods, machine learning, data mining, parallel and distributed computing, intelligent systems.

Thomas C. Eskridge, Ph.D., human-computer interaction, machine learning and data mining, knowledge representation and artiﬁcial intelligence visualization, user interface design.

Veton Z. Këpuska, Ph.D., human-machine interaction and communication, speech recognition.

Michael C. King, Ph.D., biometrics, cyber-identity protection and privacy, machine learning, computer networks.

Ivica Kostanic, Ph.D., telecommunications, wireless telecommunications.

Carlos E. Otero, Ph.D., computer systems, wireless ad-hoc and sensor networks, performance evaluation and optimization of systems.

Luis Daniel Otero, Ph.D., transportation systems engineering, decision support systems, remote sensing on UAV platforms.

Adrian M. Peter, Ph.D., systems engineering, statistical data analysis, machine learning, image analysis.

Eraldo Ribeiro, Ph.D., computer vision, image processing, pattern recognition.

William D. Shoaff, Ph.D., functional programming, analysis of algorithms, numerical analysis.

Anthony Smith, Ph.D., high-performance computing, cloud computing, machine learning, data analytics, computer vision.

Ryan Stansifer, Ph.D., programming languages, compilers, internationalization.

Josko Zec, Ph.D., wireless communications.

Assistant Professors

Siddhartha Bhattacharyya, Ph.D., formal methods, model-based software/systems engineering, autonomous systems, software/security assurance, wireless sensor networks.

Aldo A. Fabregas, Ph.D., manufacturing systems analytics, intelligent transportation systems, model-based systems engineering.

Chul-Ho Lee, Ph.D., complex/social network analysis, statistical data analysis, networking, mobile computing, design and analysis of algorithms and protocols.

Nasheen, Nur, Ph.D., natural language processing, explainable AI, applied machine learning.

Terrence O’Connor, Ph.D., Internet-of-Things (IoT) security and privacy, computer security education, software-defined networking, network security, mobile and wireless protocols, software-defined-radios, machine learning.

Professor Emerita

Celine Lang, D.P.A.

Professors Emeriti

Frederick B. Buoni, Ph.D.; Keith Gallagher, Ph.D.; Cem Kaner, J.D., Ph.D.; Gerald A. Marin, Ph.D.; J. Richard Newman, Ph.D.; Rufus H. Cofer, Ph.D.; Raghvendra Deshmukh, Ph.D., P.E.; John Hadjilogiou, Ph.D., P.E.; Fredric M. Ham, Ph.D.; Andrew W. Revay Jr., Ph.D.; Thomas J. Sanders, Ph.D.; M. Mehdi Shahsavari, Ph.D.; Robert L. Sullivan, Ph.D.; Lynn E. Weaver, Ph.D.; H.P. Weber, D.Sc.

Mission Statement

The mission of the Department of Computer Engineering and Sciences is to educate and inspire students to solve critical problems, collaboratively innovate, and pursue excellence in the computing and engineering fields.

Fast Track Master’s Programs for Students in the Department of Computing Engineering and Sciences

This program allows undergraduate students in the department who meet certain requirements to complete a master’s degree program at an accelerated pace. Students must have completed a minimum of 95 credit hours towards their undergraduate degree, with at least 35 credit hours at Florida Tech, and have an earned GPA of 3.34 or higher.

Students who are accepted into the program may enroll in graduate-level coursework during their senior year and apply up to six graduate credit hours (with a grade of B or higher) to both the bachelor’s and master’s degrees. The graduate credit hours applied to both degrees are treated as transfer credit (GPA does not apply) when applied toward the master’s degree. Interested students should consult their program chair for more information about this program.

Research

Computational intelligence: computer vision, constraint reasoning, data mining, machine learning, speech recognition, swarm intelligence, spatio-temporal multidimensional reasoning.

Computational science: bioinformatics, statistical computing.

Computer engineering: embedded systems, machine intelligence, speech processing, scientific high-performance computing, wireless communications, hardware security, wireless sensor networks, algorithm development for intelligent and data-intensive systems, analysis and design of computer communications and networks, development of large-scale, secure and dependable computer systems.

Computer security: cryptology, cryptography and cryptanalysis; secure software development and testing; malicious code, network security, resilience and intrusion detection, usable-security.

Data science: data mining, knowledge representation, visualization.

Distributed computing: agents and coordination, internet computing, negotiations, peer-to-peer networks.

Electromagnetics: applied and computational electromagnetics design and analysis of antennas, waveguides, metamaterials/metasurfaces, surface plasmons/phonon polaritons, and heterostructures, for radiofrequency, microwave, millimeter wave, and infrared/optical applications.

Languages: functional language, internationalization, type systems.

Photonics: recent advances in photonic devices and systems including fiber-optic communications, fiber optic sensors, optics, free-space optical communications, quantum communications, spatial domain multiplexing (SDM) & orbital angular momentum (OAM) of photon-based multiplexing in fiber optics.

Signal processing: adaptive optics, atmospheric turbulence compensation (ATC) image processing, pattern recognition, speech processing and recognition, high spatial-resolution ATC imaging systems and near-real-time detection and classification for communications, noise reduction and speaker identification.

Software engineering: software documentation, maintenance and evolution, reliability and testing.

Systems engineering: model-based systems engineering (MBSE), complex, complicated and adaptive systems, intelligent systems and enterprise systems, contemporary modeling methods, decision, risk and optimization methodologies, system reliability, systems thinking and big data issues.

Research Facilities

Research facilities provide open access to a wide range of computing hardware, operating systems, software development applications and general-purpose computing applications. Several research centers and laboratories support specialized research interests of faculty and students.

Center for Advanced Data Analytics and Systems (CADAS): A nationally-renowned, self-sustained, and leading provider of intelligent systems and solutions to private industry, state, and government agencies. From the core to the edge, we deliver intelligent system solutions through the infusion of machine learning. CADAS engages in transformative research and development efforts that directly impact the creation and sustainment of intelligent systems. We leverage knowledge that spans multiple domains to specify, design, construct, test, and deploy ready-to-use intelligent systems from the core to the edge. We prepare students to become innovative problem-solvers capable of contributing to both industry and academia. We provide a multidisciplinary and results-oriented environment for research and development, contribute to the state-of-the-art, and seek academic and professional excellence.

Computer Vision Laboratory: This laboratory conducts research on computer vision, pattern recognition, and image and video processing. Ongoing research topics include human–motion recognition, object tracking, image registration and object recognition.

IoT Security and Privacy Lab: The IoT S&P Lab examines the security and privacy aspects that govern the transparency and control of Internet-of-Things devices. The lab boasts over 75 unique IoT devices including smart cameras, locks, digital voice assistants, and an array of sensors. Within the lab, researchers study and perform innovate research in the fields of usable security and privacy, naval attack vectors for IoT, systemic design failures in IoT security and privacy, and machine learning techniques for classifying IoT device behaviors.

L3Harris Institute for Assured Information: Advances the field of computer security through interdisciplinary approaches to education, research and outreach. Supporting Florida Tech’s designation as a DHS/NSA center of academic excellence in cybersecurity research, HIAI provides a unique environment for innovation, technology transfer and development of cutting-edge research.

Wireless Center of Excellence (WICE): Research within WICE focuses on areas related to wireless communication, wireless multimedia communications, wireless sensor systems and remote sensing. Students are involved in research projects evaluating the propagation of radio waves, planning and optimization of voice and data services in cellular systems, various aspects associated with wireless sensor networks, satellite and airborne remote sensing systems and topics addressing challenges in providing multimedia communication over wireless links. WICE cooperates with the University of Central Florida and Florida Polytechnic University and is well connected with several industry partners that help in the selection of relevant research topics and provide the center with state-of-the-art design tools and CAD software. In recent years the center has been involved in the hurricane research program sponsored by the National Science Foundation and RapidScat data processing sponsored by NASA.

Programs

Associate of Science

Computer Information Systems, A.S.

Bachelor of Science

Nondegree

Computer Science Minor

Certification

Master of Science

Doctor of Philosophy