Welcome to the list of professors and their projects available for UCInspire.
In your online application, please list the top five faculty by preference with Professor 1 as your most desired selection. You will not be guaranteed to work with your most desired professor or project, but we will assign you to faculty that best matches your background and experience. If no faculty matches your interest, please indicate your preferred professor who may align with your interest. You can learn about each faculty member’s background by referring to the Samueli School of Engineering website.
Faculty from Biomedical Engineering
Zhongping Chen
Prof. Zhongping Chen
Professor Chen’s general research interests are in the areas of biomedical photonics, microfabrication, biomaterials and biosensors
Joyce H. Keyak
Prof. Joyce H. Keyak
As a bio-engineer, Dr. Keyak applies the principles of engineering to improve the understanding and treatment of problems in bone.
Fangyuan Ding
Prof. Fangyuan Ding
Professor Ding’s research focus on RNA, emerging from basic single-cell research to tool developments for nucleic-acid based therapies, all at the single molecule level.
Faculty from Chemical and Biomolecular Engineering
Vasan Venugopalan
Prof. Vasan Venugopalan
Dr. Venugopalan’s research focuses on laser-induced thermal, mechanical and radiative transport processes for application in medical diagnostics, therapeutics, biotechnology, and micro-electro-mechanical systems (MEMS).
Faculty from Civil and Environmental Engineering
Amir AghaKouchak
Prof. Amir AghaKouchak
Professor AghaKouchak‘s research is interdisciplinary and crosses the boundaries between hydrology, climatology, statistics and remote sensing to address critical global water resource issues.
Chenyang “Sunny” Jiang
Prof. Chenyang “Sunny” Jiang
Dr. Jiang’s research group focuses on applied and environmental microbiology.
Lizhi Sun
Prof. Lizhi Sun
Professor Sun’s primary area of research is the micro/nanomechanics of heterogeneous composite materials, with applications in civil, mechanical, aerospace, electronic and biomedical engineering.
Faculty from Electrical Engineering and Computer Science
Mohammad Al Faruque
Prof. Mohammad Al Faruque
Professor Al Fauque’s current research is focused on the system-level design of embedded and Cyber-Physical-Systems with special interests in low power design, edge-AI, CPS design automation, and embedded systems security. We are exploring various embedded systems applications, including mobile health (wearable systems), autonomous vehicles, manufacturing systems, and smart grid.
Advanced Integrated Cyber-Physical Systems (AICPS) Lab
Sample Projects
Quoc-Viet Dang
Prof. Quoc-Viet Dang
Professor Quoc-Viet Dang focuses on e-learning, data analysis, autonomous vehicle racing, cyber-physical systems, and making the world a better place
Rahim Esfandyarpour
Prof. Rahim Esfandyarpour
Professor Esfandyarpour’s research focuses on nanotechnology & nanoscience, flexible electronics, MEMS & NEMS fabrication and modeling, stretchable & wearable bio devices, translational micro/nanotechnologies, biological & chemical sensors, microfluidics, microelectronics circuits & systems, physiological monitoring, Internet of Things(IOT) bio devices, technology development for personalized/precision medicine, and Point of Care(POC) diagnostics
Laboratory for Integrated Nano Bio Electronics Innovation
Sample Projects
Fadi J. Kurdahi
Prof. Fadi J. Kurdahi
Professor Kurdahi’s research focuses on machine learning, image processing, VLSI system design, and design automation of digital systems.
Zhou Li
Prof. Zhou Li
Professor Li’s research focuses on Domain Name System (DNS), adversarial machine learning and differential privacy.
Keyue Smedley
Prof. Keyue Smedley
Dr. Smedley is interested in power electronics, alternative energy power generation, and motion control.
Sitao Huang
Prof. Sitao Huang
Prof. Huang’s research interests include highly efficient hardware acceleration, programming language and synthesis flow for hardware systems and optimization of heterogenous systems.
Hung Cao
Prof. Hung Cao
Prof. Cao’s HERO lab focuses on the applications of micro- bio-sensors and bioelectronics for health monitoring in humans as well as biological studies in animal models. Cao is one of the pioneers in utilizing flexible microelectronics to study heart disease in zebrafish.
Yanning Shen
Prof. Yanning Shen
Shen received her Ph.D. degree from the University of Minnesota (UMN) in 2019. She was a finalist for the Best Student Paper Award at the 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, and the 2017 Asilomar Conference on Signals, Systems, and Computers. She was selected as a Rising Star in EECS by Stanford University in 2017, and received the UMN Doctoral Dissertation Fellowship in 2018. Her research interests span the areas of machine learning, network science, data science and statistical-signal processing.
Faculty from Materials Science and Engineering
Xiaoqing Pan
Prof. Xiaoqing Pan
Professor Pan’s research lab has applications in electronics, photovoltaics, ferroelectric memories and devices, catalysis, particularly for automotive applications, and lithium battery cathode materials.
Stacy Copp
Prof. Stacy Copp
Prof. Copp’s research lab focuses on block copolymer-directed assembly of photonic nanomaterials and on DNA-directed assembly of metallic clusters and nanostructures, as well as methods to expedite nanomaterials discovery using high-throughput experiments and tools from machine learning. Her research interests include soft matter-based photonic materials, metal nanoclusters, polymer nanostructures, self-assembly, biomimetics, machine learning for materials discovery
Faculty from Mechanical and Aerospace Engineering
Lawrence Kulinsky
Prof. Lawrence Kulinsky
Dr. Kulinsky’s research focuses on micromanufacturing technologies, biomimetic devices, BioMEMs, drug delivery systems, biosensors, medical diagnostic platforms, microfluidics, intelligent materials systems, energy harvesting.
Jaeho Lee
Prof. Jaeho Lee
Prof. Lee’s research focuses on developing thermal solutions for emerging areas of nanotechnology where heat conduction is critical to performance. Understanding the fundamentals of heat transfer and controlling heat flow at the nanoscale can not only improve the energy efficiency of state-of-the-art semiconductor devices but can also lead to a breakthrough in novel energy conversion applications.
John Michael McCarthy
Prof. John Michael McCarthy
J. Michael McCarthy is the Director of UCi’s Performance Engineering Program, having completed a seven year term as the Henry Samueli Professor and Director of the Center for Engineering Science in Design at the University of California, Irvine, which supports the design and execution of team engineering projects across the School of Engineering.
His research team is responsible for the Sphinx, Synthetica and MecGen software packages, which extend computer-aided design to spherical and spatial linkage systems and integrate this process with geometric modeling. He has presented tutorials on the design of linkages and robotic systems at ASME and IEEE conferences, including the NSF sponsored 2012 Workshop on 21st Century Kinematics. He is an industrial consultant in the area of machine and robotic system design, and provides testimony on intellectual property and product liability. He served as Chief Technical Officer of Accuray Incorporated to assist the transition of a robotic radio-surgery system from research to market. In 2010 and 2011, he served two terms as Chair of the Board of Governors for the Southern California Section of SAE international and is the 2012 Secretary for the Orange County Engineering Council.
His research team is responsible for the Sphinx, Synthetica and MecGen software packages, which extend computer-aided design to spherical and spatial linkage systems and integrate this process with geometric modeling. He has presented tutorials on the design of linkages and robotic systems at ASME and IEEE conferences, including the NSF sponsored 2012 Workshop on 21st Century Kinematics. He is an industrial consultant in the area of machine and robotic system design, and provides testimony on intellectual property and product liability. He served as Chief Technical Officer of Accuray Incorporated to assist the transition of a robotic radio-surgery system from research to market. In 2010 and 2011, he served two terms as Chair of the Board of Governors for the Southern California Section of SAE international and is the 2012 Secretary for the Orange County Engineering Council.
David Copp
Prof. David Copp
Prof. Copp’s broad research interests include engineering education, as well as control and optimization of nonlinear and hybrid systems with applications to power and energy systems, multi-agent systems, robotics and biomedicine.
Faculty from School of Information and Computer Sciences
Joshua Garcia
Prof. Joshua Garcia
Professor Garcia’s research interests are in software engineering with a focus on mobile security, testing, and analysis; software architecture; and software maintenance and re-engineering.
Ian Harris
Prof. Ian Harris
Professor Harris’ research interests include the design of secure hardware/software systems, and the application of Natural Language Understanding to security and design.
Marco Levorato
Prof. Marco Levorato
Professor Levorato’s research interests are focused on next-generation wireless networks, machine learning and distributed computing, cyber-physical systems, autonomous vehicles
Chen Li
Prof. Chen Li
Professor Li’s research interests are in the field of data management, including data-intensive computing, query processing and optimization, visualization, and text analytics.
Xiaohui Xie
Prof. Xiaohui Xie
Dr. Xie’s research focuses in machine learning, bioinformatics, computational biology and neural computation.
Faculty from Department of Statistics
Annie Qu
Prof. Annie Qu
Professor Annie Qu’s research focuses on solving fundamental issues regarding unstructured large-scale data and developing cutting-edge statistical methods and theory in machine learning. “I’m working to develop algorithms for text sentiment analysis, automatic tagging and summarization, and recommender systems,” she says. “I’m also researching tensor imaging data, working to advance network data analyses for complex heterogeneous data, and finding ways to extract essential information from large volume high-dimensional data.”
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