2025-2026 UH Mānoa Catalog
Department of Electrical and Computer Engineering
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Holmes 483
2540 Dole Street
Honolulu, HI 96822
Tel: (808) 956-7586
Fax: (808) 956-3427
Email: eeoffice@hawaii.edu
Web: ece.hawaii.edu
Faculty
*W. A. Shiroma, PhD (Chair)—electromagnetic theory, microwaves
*G. Arslan, PhD—distributed systems, Markov decision problems, nonlinear and robust control, game theory, learning and adaptive control
*O. Boric-Lubecke, PhD—RFICs for wireless communications, millimeter-wave and microwave devices, circuits and systems and biomedical applications
*H. Cai, PhD—wireless networking, Internet-of-Things (IoT), mobile computing, network security.
*D. Carlson, PhD—cyber-physical systems, internet of things, ubiquitous computing, mobile computing and interactive media systems
*Y. Dong, PhD—cyber security and privacy, network systems and internet applications (such as drones and internet of things)
*D. Drew, PhD—robotics, microsystems, multi-robot systems, swarms, human-robot interaction
*D. Green, PhD—power systems, energy, signal processing
*H. Guo, PhD—cybersecurity, trustworthy AI, mobile sensing
*M. M. Hossain—medical ultrasound, biomedical signal and image processing
*A. Host-Madsen, PhD—communications signal processing, CDMA communications, multi-user communications, equalization
*A. Kuh, PhD—signal processing, machine learning, energy
*V. M. Lubecke, PhD—MEMS, microwave/terahertz radio, remote sensing technology and biomedical applications
*V. Malhotra, PhD—physical electronics, solid-state devices
*I. Molybog, PhD—optimization, artificial intelligence, power systems, control
*B. Murmann, PhD—mixed-signal integrated circuit design, sensor interfaces, A/D and D/A conversion, high-speed communication links, embedded machine learning, open-source chip design
*A. Ohta, PhD—devices, MEMS, biomedical microdevices, microfluidics
*J. Ott, DSc—detector R&D in high-energy physics and nuclear physics, ML/AI in front-end electronics, semiconductor sensors, thin films
*N. Santhanam, PhD—machine learning and data sciences, statistics, information theory and signal processing
*G. H. Sasaki, PhD—computer communication networks, performance evaluation, optimization algorithms
*V. L. Syrmos, PhD—linear system theory, control theory
*J. Weldon, PhD—nanoscale device design, heterogeneous integration with CMOS for data-intensive applications, applications of nanotechnology to biomedical devices
*J. R. Yee, PhD—computer communications networks, network optimization, stochastic models
*J. Zhang, PhD— signal processing, complex networks and network science, bioinformatics, stochastic models
*Y. Zheng, PhD—NextG wireless communication, sensing, and security
*L. Zhu, PhD—cyber security and privacy, robustness and safety of deep learning, artificial intelligence.
Emeritus Faculty
*N. T. Gaarder, PhD—communication theory, information theory
F. Koide, PhD—biomedical engineering, operational amplifiers, electronic circuits
F. Kuo, PhD—network theory, computer networks, wireless communications
S. Lin, PhD—coding theory, coded modulation, multi-user communications and error coding techniques
E. J. Weldon, PhD—computer networks
D. Y. Y. Yun, PhD—computational intelligence, biomedical informatics, parallel and networked computing
Cooperating Graduate Faculty
*M. Dubarry, PhD—battery testing, modeling, and simulation
*N. Gaillard, PhD—theory-guided materials design, solid/liquid interface phenomena and light/matter interaction in films and nanostructures
*R. Ghorbani, PhD—renewable energy, dynamics, controls, design
*M. Iskander, PhD—computational electromagnetics, antennas, radar, and wireless communications
*D. Pavlovic, PhD—pure mathematics, quantum info theory, theoretical computer science and software engineering
*R. Rocheleau, PhD—photovoltaics, sensors, thin films
*L. R. Roose, JD—integration and analysis of energy technologies and power systems
*S. K. Sharma, PhD—thin films, amorphous materials and ceramics, instrumentation development
*J. Shepherd, PhD—breast cancer radiomics, deep learning, 3D optical body scanning
*V. A. Stenger, PhD—neuroscience, MRI research
*Y. Xiao, PhD—deep learning, reinforcement learning, game theory, optimization, wireless communications, power systems, economics and computation
*Z. Yun, PhD—wireless channel modeling, antennas and propagation
Affiliate Graduate Faculty
*R. C. Gough, PhD—low-voltage, low-power electrical manipulation of non-toxic liquid metal alloys for use in reconfigurable microwave and radio frequency (RF) device
*N. Hafner, PhD—sensor systems, applied research, data analysis
*M. A. Rahman, PhD—micro and nanorobotics, MEMs, NEMs, micro- and nanofabricated devices
*W. Szpankowski, PhD—analysis and design of algorithms, information theory, machine learning and AI, multimedia compression, analytic combinatorics, discrete mathematics, and random structures
* Graduate Faculty
Mission Statement
The mission of the Department of Electrical and Computer Engineering is to provide quality education, research, and service to our constituents. Major goals of the department are to:
- Educate a new generation of electrical and computer engineers to meet the challenges of the future;
- Create, develop, and disseminate new knowledge;
- Promote a sense of scholarship, leadership, and service among our graduates.
The Academic Program
Electrical engineering and computer engineering are concerned with the exciting fields of electronics, computers, information technology, and the basic forms of energy that run our world. Electronics continue to bring forth new breakthroughs in solid-state technology (transistors, integrated circuits, VLSI chips, microprocessors, lasers, optical fibers), which in turn fuel the unprecedented revolution in telecommunications (internet, wireless, and digital signal processing), computers (software, security, and networking), instrumentation (biomedical, intelligent), and many other areas.
The undergraduate and graduate programs focus on three major areas: computers (algorithms, security, networking, hardware, and software), electro-physics (solid-state devices and sensors, analog, circuit design, and microwaves and photonics), and systems and data science (telecommunications, automatic controls, signal and image processing, and machine learning).
The culmination of the undergraduate programs is the capstone design project; this is a significant project that integrates the design content of previous courses while satisfying realistic constraints.
Undergraduate Study
Design Experience Statement
A key aspect of electrical engineering and computer engineering education is a significant and meaningful design experience that is integrated throughout the curriculum. The design experience is necessary to prepare students to become professionals.
At UH Mānoa, the electrical engineering and computer engineering (ECE) curricula assign design credits to each course. A student graduating in electrical engineering or computer engineering is required to have a minimum of 14 design credits with 3 design credits coming from ECE 496 - Capstone Design Project . Students can check their progress in obtaining design credits by checking with their advisor and looking at design credits and the Curriculum Flow Chart. ECE 496 places significant design responsibility on the students as they must plan and execute a major design problem. To prepare students for ECE 496 , students must take at least 1 credit of ECE 296 - Sophomore Project , and 2 credits of ECE 396 - Junior Project . The project courses help students build experience outside the classroom as they learn engineering concepts in the classroom. The project courses and capstone project give students opportunities to work in teams, develop leadership skills, and work on open-ended design projects similar to industrial experience.
Bachelor of Science (BS) in Electrical Engineering
Program Educational Objectives
The expected attainment of graduates are:
- Electrical engineering graduates will practice electrical engineering in industry, education, and public service.
- Graduates will contribute to the technological and economic development of Hawaiʻi, the U.S., and beyond.
- Graduates who wish to pursue graduate study will be successful.
- Graduates will continue their professional development, through individual effort and advanced professional education.
- Graduates will provide technical leadership, with an understanding of the broader ethical and societal impact of technological developments.
Outcomes
All graduates of the electrical engineering program are expected to have demonstrated:
- An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics;
- An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors;
- An ability to communicate effectively with a range of audiences;
- An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts;
- An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives;
- An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions;
- An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Bachelor of Science (BS) in Computer Engineering
Program Educational Objectives
The expected attainment of graduates are:
- Computer engineering graduates will practice computer engineering in industry, education, and public service.
- Graduates will contribute to the technological and economic development of Hawaiʻi, the U.S., and beyond.
- Graduates who wish to pursue graduate study will be successful.
- Graduates will continue their professional development, through individual effort and advanced professional education.
- Graduates will provide technical leadership, with an understanding of the broader ethical and societal impact of technological developments.
Outcomes
All graduates of the computer engineering program are expected to have demonstrated:
- An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics;
- An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors;
- An ability to communicate effectively with a range of audiences;
- An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts;
- An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives;
- An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions;
- An ability to acquire and apply new knowledge as needed, using appropriate learning strategies;
- A knowledge of discrete mathematics.
Graduate Study
Degree Requirements
Students pursuing a graduate degree in ECE must have a ECE bachelor of science degree or its equivalent; otherwise, the minimum course requirements listed in the next subsection must be met. The ECE program has three major tracks of specialization: computers, electro-physics, and systems and data science. Graduate students are required to specialize in a major track and have breadth outside the major track in ECE. More rigorous courses from the other programs may be used to satisfy major track or breadth requirements subject to prior approval from the graduate chair. Elective courses must be from College of Engineering, College of Natural Sciences, SOEST, or Shidler College of Business. Relevant courses from other programs may be used to satisfy elective course requirements subject to prior approval from the graduate chair. Only one out of multiple courses with significantly overlapping contents (for example, cross-listed courses) can be used to satisfy any course requirement. Only courses with a grade of B or better (not B-minus) can count towards the course requirements.
ProgramsBachelor’sMaster’sDoctorateUndergraduate CertificateGraduate CertificateCombined
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