Department of Computer Engineering
Department of
Computer Engineering
Overview
Nearly everything we touch each day – from coffee machines to cars, smartphones, and wearable devices – is powered by computing systems designed and built by computer engineers. Computer engineering impacts every aspect of our lives. Sensors and networking technology allow for the management of logistics and the inventory systems that facilitate access to the foods and products necessary to daily life. Today’s vehicles are equipped with multiple computing subsystems that control engine operation, performance, navigation, autonomy and much more. Hospitals and health care providers increasingly rely on computer engineering systems to provide medical services from administrative tasks to microsurgery using robotic arms. Computers specially designed for Artificial Intelligence, Big Data and massively parallel tasks that are both reliable and secure are the need of the hour.
Computer engineering offers opportunities for all types of designs and innovations, such as designing the architecture of a new computer, integrating electronics and sensors into a new embedded system, or controlling the smart grid. There is a great demand for computer engineers who can do it all—from designing computer hardware, components and software, to developing next-generation products and appliances that contain computing systems of all sizes and scales ranging from microchips to data centers. As computer technology becomes more essential to commerce and daily life, companies will need computer engineers who possess a well-developed set of skills and who can quickly adapt to change. To meet the challenges of the future, these companies will turn to computer engineers for innovative solutions and technological leadership.
Mission
The computer engineering program mission is “to provide outstanding career-oriented education in computer engineering and engage students in leading edge research.”
The computer engineering program mission is dedicated to furthering RIT’s mission to prepare students for successful careers “through a unique blend of curricular, experiential, and research programs delivered within a student-centric culture." In addition, the computer engineering program’s mission is consistent with the goals of the Kate Gleason College of Engineering. These include the college’s focus to:
- educate students to meet the immediate and future needs of industry and to support the intellectual development and growth of its graduates throughout their careers;
- perform research that is focused on providing viable solutions to the real-world problems facing our global society; and
- partner with industry to accelerate economic growth both regionally and nationally.
Accreditation
The BS degree in computer engineering is accredited by the Engineering Accreditation Commission of ABET, www.abet.org. For Enrollment and Graduation Data, Program Educational Objectives, and Student Outcomes, please visit the college’s Accreditation.
14
Full-time faculty members from 9 countries
6
International Academic Partner Institutions
5
Affiliated PhD Programs
Research
Research within the department of computer engineering reflects the fundamental role of computing in today’s information age, addressing a broad span of technological challenges that include securing the cyber-physical space, improving industrial processes by integrating Internet-of-Things devices, and harnessing the Artificial Intelligence revolution by bringing to life self-driving vehicles and new computing paradigms. Through participation in cross-disciplinary Ph.D. programs in Electrical and Computer Engineering, Computing and Information Sciences, Microsystems Engineering, and Imaging Science, the research activities reflect the diversity of computer engineering. Faculty members and students from the Department of Computer Engineering are actively engaged in various projects funded by federal and state agencies, as well as industry. Current research within the Department of Computer Engineering is organized into the following tracks:
This track deals with hardware resource management, instruction set architectures and their close connection with the underlying hardware, as well as the interconnection and communication of those hardware components. Some of the current computer architecture challenges that are being tackled in the Department of Computer Engineering include energy efficient architectures, high performance architectures, quantum computing, graphic processing units (GPUs), reconfigurable hardware, chip multiprocessors, and Networks-on-Chips.
Faculty working in this track:
Modern processors demand high computational density, small form factors, and low energy dissipation with extremely high performance demands. This is enabled by the nanoscale and heterogeneous integration of transistors and other emerging devices at the massive-scale. This research track focuses on designing computers with emerging novel technologies in the presence of severe physical constraints; investigating dynamic reconfigurability to exploit the power of nano-scale electronics for building reliable computing systems; solutions for post Moore’s Law computing, such as neuromorphic technology, and studying the applicability of emerging technologies to address challenges in computing hardware of the future.
Faculty working in this track:
The prevalence of networked computing devices of all sizes and uses have transformed our way of life. Ubiquitous access to data through these devices with reliable performance and security assurance while meeting end-user quality of experience expectations presents exciting challenges for engineers and scientists. Adaptability to meet the demands from ever-increasing data traffic, and resilience to environmental uncertainty, system failures and cyber-attacks requires advances in hardware, software and networking techniques, as well as the application of innovative transformative technologies, such as machine learning. This research track focuses on intelligent wireless and sensor networks, cryptographic engineering, and predictive cyber situation awareness.
Faculty conducting research in this track are actively engaged in RIT’s ESL Global Cybersecurity Institute.
Faculty working in this track:
Visual information is ubiquitous and ever more important for applications such as robotics, healthcare, human-computer interaction, biometrics, surveillance, games, entertainment, transportation and commerce. Computer Vision focuses on extracting information from image and video data for modeling, interpretation, detection, tracking and recognition. Machine Intelligence methods deal with human-machine interaction, artificial intelligence, agent reasoning, and robotics. Algorithm development for these areas spans image processing, pattern recognition and machine learning, and is intimately related to system design and hardware implementations.
Faculty conducting research in this track are actively engaged in RIT’s Center for Human-aware Artificial Intelligence (CHAI).
Faculty working in this track:
This research area is concerned with algorithms and devices used at the core of system that interacts with our physical world. As such, this area considers the sensing, analysis and modeling of dynamic systems with the intent of measuring information about a system, communicating this information and processing it to adapt its behavior.
Faculty working in this track:
Featured Work
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Latest News
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November 4, 2024
![A professor standing between two students and in front of a white board, explaining something to the students.]()
Computer Engineering faculty awarded to advance the compilation process in quantum computing
Dr. Sonia Lopez Alarcon has been awarded a prestigious grant from the National Science Foundation's Expanding Capacity in Quantum Information Science and Engineering (ExpandQISE) program.
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September 19, 2024
![Michael Zuzak works with student Sydale John Ayi in a research lab filled with computer equipment]()
Engineering faculty member builds new research project aimed at exploring how AI acquires and understands information
While large-language models such as Chat GPT are sophisticated, there are still issues with performance because the system does not intuit the way a human can—yet.
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February 19, 2024
![engineering faculty researchers Dongfang Liu, Xudong Zheng, and Qian Xue display the seal whisker specimen they are modeling their advanced sensor array on for improving underwater detection and recognition]()
Researcher receives Naval Research Laboratory grant to develop more sophisticated sensor array
Researchers at RIT are creating a novel sensor system based on the superior design and detection range found on harbor seal whiskers.
Student Resources
The computer engineering department offers a variety of resources for our students, including academic support, curriculum flow charts, handbooks, and more. Visit our Student Resources page for more information.