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1 | INTERNATIONAL SUMMER RESEARCH PROGRAM 2024 | |||||
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5 | Principal Investigator | Lab Name | Department | Research Description | Lab Website | Pre-Requisites |
8 | Chengbiao Wu | The Wu Lab | Neuroscience | Professor Wu's lab research is focused on understanding the molecular and cellular mechanisms of neurodegeneration and peripheral neuropathy such as CMT2B and HSAN V. The lab uses mouse models of Alzheimer's disease, Parkinson's disease, and Huntington's disease to investigate early pathogenesis to discover potential target(s) that can be used for therapeutic intervention. The lab also is interested in diseases of the peripheral sensory systems and actively research for promising treatment methods. | https://wulaboratory.weebly.com/ | N/A |
9 | Jorge Cortes | The MURO Lab | Mechanical and Aerospace Engineering | Work on distributed robotics at the MURO Lab designs, analyzes, and implements motion planning strategies and distributed coordination algorithms on autonomous multi-agent robotic networks performing spatially-distributed tasks. | muro.ucsd.edu | Familiarity with open-source software (Linux) and have programming experience (C++/python). |
10 | Ken Loh | ARMOR Lab | Structural Engineering | Novel sensing materials and measurement techniques for both human performance assessment and infrastructure health monitoring | armor.ucsd.edu | N/A |
11 | Leslie Crews | The Crews Lab | Medicine | The Crews Lab studies the molecular mechanisms of blood cancer biology and immune cell regeneration. | crewslab.ucsd.edu | Courses in cell and molecular biology. Some prior wet lab experience preferred but not required |
12 | Lily Weng | Trustworthy Machine Learning Lab | Halicioglu Data Science Institute | Prof. Weng's lab focus on making deep learning systems more trustworthy, reliable, interpretable and safer. Her lab has dedicated a few major efforts on understanding how DNNs operate, building interpretable deep learning models, as well as strengthen/verifying the robustness of deep learning systems against adversarial attacks and uncertainties. Interested students should check out the recent work in Prof Weng's lab: https://lilywenglab.github.io/#selected-recent-works. Interested applicants should send an email to Prof. Weng to express the interest and attach their CV. | https://lilywenglab.github.io/ | The lab welcomes students with diverse backgrounds to apply.Applicants should have strong machine learning and deep learning backgrounds and programming skills. Students must have 1 year+ research experience in Machine Learning. Publications in top ML conferences is a plus. |
13 | Michael Burkart | The Burkart Lab | Chemistry & Biochemistry | Natural products and renewable materials | http://burkartlab.ucsd.edu/ | Organic Chemistry and Biochemistry |
14 | Michael Sailor | Materials Research Science and Engineering Center | Chemistry & Biochemistry | The Summer School for Silicon Nanotechnology (SSSiN) is one of the three Research Immersion in Materials Science & Engineering (RIMSE) programs of the UC San Diego MRSEC. Begun in 2003, the SSSiN is an immersive workshop focussed on the synthesis, properties, and applications of silicon-based nanomaterials. It integrates participants from a wide variety of backgrounds and skill levels: high school students, undergraduates, graduate students, post-docs, industry researchers, and university professors. As part of the RIMSE training program, it also serves as a "bootcamp" for selected students at the beginning of their MS or PhD degrees and for MRSEC REU (Research Experiences for Undergraduates) participants. Course elements include lectures, hands-on laboratory training, and a capstone “Discovery Project”- an independent research project implemented by a team of trainees under the mentorship of a current research group member. | https://mrsec.ucsd.edu/rimse/sssin/ | Please note that to participate in Professor Sailor's Summer School, there is an additional application to complete. This information will be shared with you once you have been accepted into the program. |
15 | Shaochen Chen | The Chen Lab | NanoEngineering | The Chen Laboratory conducts research regarding 3d bioprinting and tissue engineering | http://schen.ucsd.edu/lab/ | N/A |
16 | Tina Tse Nga Ng | Flexible Large-Scale Electronics | Electrical and Computer Enginering | My lab research on energy storage supercapacitors and organic photodetectors, such as infrared upconversion imagers | http://flexible-electronics.ucsd.edu/ | Previous hands-on lab course experience |
17 | Tomas Liu | Center for Functional MRI | Radiology | Our lab develops MRI acquisition, analysis, and modeling approaches for both research and clinical applications; areas of focus include functional neuroimaging and arterial spin labeling MRI | https://cfmriweb.ucsd.edu/Research/Faculty/ttliu.html | signal processing, linear algebra, MATLAB or equivalent |
18 | Tzyy-Ping Jung | Institute for Neural Computation and Center for Advanced Neurological Engineering | Biomedical Enginering | Professor Jung works at the Swartz Center for Computational Neuroscience under the Institute for Neural Computation and the Center for Advanced Neurological Engineering under the Institute of Engineering in medicine. His research focuses on real-world neural imaging. His centers take novel approaches to record and model brain activities and body functions, including and combining electroencephalographic, electromyographic, behavioral, and physiological measures. The lab uses dry EEG sensor arrays and wearable/ wireless data acquisition and signal processing hardware and software that can monitor and record non-invasive, high spatial and temporal resolution, the brain activity of unconstrained, actively engaged human subjects. The lab applies computation approaches, such as independent component analysis (ICA), time-frequency analysis, statistical analysis, and machine-learning methods, to analyze and model neural activity associated with human cognition, perception, and awareness. Additionally, they fuse multiple streams of psychophysiological information to construct prototypes of neurocognitive brain-machine interfaces to improve overall human performance, characterize and clarify neuropathogenic processes, and improve the prevention, diagnosis, and treatment of neurological diseases and injuries. | https://iem.ucsd.edu/ | N/A |
19 | Vicki Grassian | The Grassian Group | Chemistry | The Grassian lab research is focused on chemistry and Impacts of Environmental Interfaces | https://sites.google.com/ucsd.edu/grassiangroup/ | Chemistry courses through second or third year. |
20 | Yu-Hwa Lo | The Lo Lab | Electrical and Computer Enginering | Professor Lo's research focuses are biomedical electronic and optical devices and systems and nanoscale semiconductor devices. His group designs biomedical devices and systems that combine microfluidic, photonic, acoustic, and electronic technologies for in-vitro and invivo diagnosis and prognosis for a variety of diseases including cancers, infectious diseases, and chronic diseases. | N/A | |
21 | Zhaowei Liu | Zhaowei Liu Research Group | Electrical and Computer Enginering | Professor Liu's research focuses on the development of varied optical imaging and spectroscopy tools and their applications. | https://www.zhaowei.us/ | General optical background and strong hands-on skills |
22 | Ryan Kastner | Engineers 4 Exploration | Computer Science and Engineering | Engineers for Exploration (E4E) is a one of a kind program centered around multidisciplinary and collaborative student research projects with the broad goals of protecting the environment, uncovering mysteries related to cultural heritage, and providing experiential learning experiences for undergraduate and graduate students. We team student engineers with scientists from a wide range of disciplines, such as ecology, oceanography and archaeology. Students create new technologies to aid these scientists in their work and then accompany them on field deployments around the world. Projects train students in embedded systems and software, machine learning, electronic integration, mechanical design, system building, as well as project management and team leadership. | http://e4e.ucsd.edu/ | |
23 | Sarah Gille | Satellite Oceanography Group | Scripps Institution of Oceanography | The California Current is the region of ocean just upstream of the continental US. Conditions in the California Current drive weather and climate as well as shaping maritime activities (e.g. fisheries). The region is well monitored, and because of that, it is a convenient test bed for exploring research approaches that will later be applied across the planet. The research opportunity will focus on analyzing data and models in the region in the context of multiple projects: understanding how DDT and other contaminants that were dumped on the sea floor could be redistributed in the San Pedro Basin off of Los Angeles, evaluating atmosphere–ocean coupling in high-frequency radar data along the coast, assessing model results that are constrained by the new Surface Water and Ocean Topography satellite, investigating coastal and open ocean exchanges with the help of machine learning tools, or examining biogeochemical processes using profiling floats. There are also possibilities to extend work to examine the Southern Ocean or the tropical Pacific, taking advantage of the global array of profiling floats. | https://sgille.scrippsprofiles.ucsd.edu/ | Students should be interested in oceanography and/or climate science and interested in carrying out computational research. Projects are appropriate for STEM majors (e.g. oceanic and atmospheric sciences, physics, math, engineering). Essential experience includes Matlab or Python programming proficiency, and math coursework including linear algebra (e.g. Math 18) and calculus (e.g. Math 20 A-C). |
24 | Steven Dow | Protolab | Cognitive Science | UC San Diego’s ProtoLab conducts research at the intersection of social computing and design with the goal of developing tools, processes, and instructional techniques that change the way people solve complex problems creatively and collaboratively. We develop technology related to social media, crowdsourcing, mixed-initiative systems, and physical-digital interactions to enable large-scale online creativity and to study the cognitive, social, and cultural aspects of design. | protolab.ucsd.edu | |
25 | Jan Kleissl | GrID (Grid Integration and Decarbonization Laboratory) | Mechanical and Aerospace Engineering | The DERConnect experimental research instrument will be broadly accessible to the research community as a system-level testbed of methods, tools and datasets to evaluate novel distributed control algorithms. DERConnect will establish, for the first time, a grid-connected, customizable, and dedicated power system with all the required components and DER types for large-scale distributed control in one place. The research facility will enable testing of novel distributed control algorithms at scale for both mathematical and novel data-driven control approaches. The testbed also enables social-science research on the interaction between humans and energy consumption. The heterogeneity of buildings in DERConnect opens the door to modeling and interacting with a larger diversity of human behavior, and to study and experiment with its effect on energy use, public health, and building flexibility. DERConnect will be able to consider larger networks and run tests of higher complexity and with exponential numbers of potential topologies. A large number of potential topologies enhances the value of DERConnect as a national testing infrastructure for deployment and transition of distributed control technologies in the real world. These early-stage technologies have the potential to dramatically improve operations of electric power grids. | https://sites.google.com/ucsd.edu/derconnect/home | Experience in programming |
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