Summer Undergraduate Research Program

Materials Engineering student Carolina Cleland pours liquid nitrogen into a scanning electron microsope (SEM)

Join us for the 2021 SURP Symposium!

This in-person event will take place on Friday, October 1st (3-5 PM) at Engineering Plaza

Download a printable 2021 SURP Symposium Event Flyer (PDF)

SURP award winners with Prof Bob Crockett

The College of Engineering (CENG) initiated a Summer Undergraduate Research Program (SURP) in 2017. The purpose of the program is to provide research experiences for our undergraduate students working alongside our faculty during the summer. This program also supports the scholarly efforts of our faculty through engagement with undergraduate students. Projects lead to student-faculty authored publications in venues appropriate to the area of research conducted during the summer. Further, the program invites industrial and other external sponsors to provide university-industry collaborative research and project activities.

This program supports Cal Poly’s educational mission as both faculty members and students are provided a significant opportunity for their professional growth. SURP students gain valuable training in research methods and practices, professional experience, have opportunities to apply classroom knowledge and theories in a research setting, and work in a team environment. Through collaboration with faculty members and external sponsors, SURP students gain “Learn by Doing” research experience that will support their growth as a student and set a foundation to build on as they pursue their career goals. Depending on the project, students may have tangible products such as data sets, hardware prototypes, software code, other forms of intellectual property, abstracts and/or research posters, and co-authored publications. SURP faculty participants are able to implement the teacher-scholar model while making progress in their area of research. Partnerships with industrial and external sponsors through SURP support the California State University’s mission of preparing significant numbers of educated and responsible people to contribute to California’s economy, culture, and future. Industrial and external SURP project sponsors gain a head start in cultivating professional relationships with talented and motivated SURP students.


Visit the following links for samples of SURP projects from recent years:

Last updated on April 16, 2021.

Q1. Who Can Apply?

A1. All undergraduate students in the College of Engineering (CENG) are eligible to apply for the 2021 Summer Undergraduate Research Program (SURP). Preference will be given to lower division students (students completing their freshman or sophomore year) who have not previously participated in SURP. Seniors graduating during the 2020 – 2021 academic year or who are entering a Cal Poly graduate program during the 2020 – 2021 academic year are not eligible to apply.

Q2. How do I select the research topics/faculty mentor to work with?

A2. SURP has solicited and selected research project topics from CENG faculty. All selected research topics and associated faculty mentors for SURP 2021 will be posted on this webpage in early April. Please review these research topics and indicate your top three project choices. Also indicate whether you would be open to other projects if your top three are not available. You are encouraged to discuss your application with the faculty mentor of interest.

Q3. When does SURP start and how long does it last?

A3. SURP is an 8-week long program, and SURP students are expected to spend at least 20 hours/week working on their research projects. SURP students and their faculty mentor agree upon a start date for their research project that falls within the summer 2021 quarter. While the 8-week SURP project must be completed during the summer 2021 quarter, the 8 weeks need not be contiguous. SURP students may not use any time worked beyond 20 hours/week to shorten the 8-week duration of the program.

Q4. Is there a specific application format?

A4. Applications are submitted online. Instructions and application link will be posted on this CENG SURP webpage. As an applicant, you will be required to include a resume, cover letter, and to complete the Microsoft form linked on application on Handshake. On the cover letter, you should explain why this opportunity is important to you. You should also indicate in your cover letter whether you would be open to other projects if your top three are not available.

Q5. How will students be selected for SURP 2021?

A5. Associate Dean Robert Crockett will review the applications and work with the identified faculty mentor to make a final decision and inform the selected student participant(s).

Q6. What review criteria will apply?

A6. Student applications will be evaluated and matched to faculty projects based on the student-project fit, as determined by the student’s resume and cover letter; preference will be given to lower division students (students completing their freshman or sophomore year) who have not previously participated in SURP.

Q7. What is the Application Submission Deadline?

A7. Applications are due by midnight on May 2, 2021.

Q8. How do I submit my application?

A8. Applications are submitted online using Cal Poly Handshake, starting April 19, 2021.

Q9. When will I know if I have been selected to participate in the 2021 CENG SURP?

A9. Associate Dean Robert Crockett will notify the selected students by early May.

Q10. Do I need to do fill out any additional paperwork after I have been selected to participate in SURP?

A10. All selected students will be asked to review and sign the SURP participant Commitment and Expectations form.

Q11. How much compensation will each SURP student participant receive?

A11. Each SURP student participant will receive a CENG Summer Research Grant of $3,500. SURP students will not receive additional funding for working more than 20 hours/week or for more than 8 weeks. This grant will be disbursed through the Financial Aid Office.

Q12. Does SURP provide housing and meals for its student participants?

A12. No. SURP student participants are responsible for finding and paying for their own housing and meals for the duration of the program.

Q13. Can a student receive funding for working on more than one research topic?

A13. No. A selected student can receive only one CENG SURP research grant.

Q14. Can a student participate and receive funding from multiple SURP programs?

A14. No. Other colleges at Cal Poly run SURP programs and may permit CENG students to participate. However, students are limited to participation in only SURP program at a time at Cal Poly.

Q15. Where can I learn about recent projects? 

A15. Please visit our Virtual Symposium website.

Submitted By: Callenes-Sloan, Joseph Application Title: Computer Architecture Approaches for 3D Printing. Affordable 3D printers, laser cutters, and Computer Numerical Control (CNC) mills will soon be available to millions of people. The technology has a wide reach, with the potential for broad social benefits. However, affordable 3D printers are often limited by accuracy, printing times, and reliability. This project proposes to address these limitations by adapting computer architecture techniques, which face similar problems, to the 3D printing system. All 3D printers today are built around an interface called G-code, which was first designed in G-code is a set of imperative commands that control the movement of the extruder and executes the printing. We will investigate the design of the 3D printing interface in the context of emerging 3D printing applications (e.g. biomedical applications where the compilation phase may take longer than the printing phase), and the dynamic characteristics of modern affordable 3D printing hardware. This project aims to improve the accuracy, performance, and reliability of 3D printing by adapting architectural techniques to address analogous printing problems. Project Impact Statement: This research will provide the students with a significant opportunity for professional growth as they design complex prototypes and conduct experiments. The students will also acquire hands on experience with modern computing hardware, hardware/software design techniques, and modern computer hardware architectures. Additionally, the students will learn about research methods and practices, and have the opportunity to apply classroom knowledge and theories in a research setting. The students will also have the opportunity to work in a team environment. We expect this research to produce hardware-software co-design models. We expect to produce a student co-authored paper as a result of this research. My previous SURP projects have been highly productive. Each project has resulted in at least one student authored publication. In 2018, my SURP students were selected for the Best Paper Award at the 10th Conference on Innovative Smart Grid Technologies (ISGT 2019), sponsored by the IEEE Power and Energy Society, held in Washington D.C. The paper was selected for the award among over 130 papers presented at the conference, which were assessed in terms of overall novelty, effort, relevance, clarity, and quality of poster presentations by a team of reviewers. One of these students continued his research with me, and later published a paper at the IEEE SmartGridComm Conference (SmartGridComm 2019), held in Beijing. Similarly, my SURP students from 2019 published a paper on their research at ISGT 2020. Last year’s group was recognized as one of the “Notable Projects” for SURP 2021 and has a paper currently under submission at IEEE CSR 2021. Some of these same students will also likely help with mentoring the new SURP students who would work on this proposed project. The SURP program will provide a great opportunity to advance my research agenda over the summer quarter and into the coming year. We anticipate that this summer research will also lead to potential collaborations on future projects at Cal Poly among EE, CPE, CS, Biomed, and Materials faculty, as well as fostering potential collaborations with the local related industries in California, especially Silicon Valley. This research will also provide an opportunity for industrial and other external sponsors to work with Cal Poly faculty and students to advance connections, gain access to Cal Poly talent and capabilities, and engage in valuable collaborative activities. Finally, we anticipate this research will to lead to research papers and more proposals for funding in the coming year. Project Emphasis Area and Expected Outcomes: This research will have a Mentoring, Exploratory Research, and Interdisciplinary Emphasis. This research is exploratory in nature and seeks to open new lines of investigation with the goal of ultimately establishing a new research program and partnerships. This research will also require interdisciplinary collaborations, from Computer Science, Electrical Engineering, Computer Engineering, and Industrial Engineering. This research will also emphasize diversity and inclusivity. I am committed to recruiting and mentoring students from diverse backgrounds, particularly lower-division students, transfer students, and first-time applicants. Planned Student-Faculty Co-Authored Publication(s): – “Architectural Approaches for emerging 3D printing Systems”, CASES – “Computer Architecture Approaches for 3D Printing” MICRO/ISCA – “An Efficient 3D Printing ISA”, DAC. ____ Submitted By: Long Wang Application Title: Inverse Problem Solving for an Electrical Imaging Technique Electrical impedance tomography (EIT) technique is an electrical imaging method that determines the conductivity distribution of a conductive body. The EIT technique has attracted extensive attention due to its unique advantages in non-invasively mapping the spatial electrical properties of an object only using its boundary voltage measurements. The potential applications of this imaging technique include cancerous tumor detection, gastric function monitoring, non-destructive testing and evaluation of materials, among others. The typical mechanism of the EIT technique is that an electrical current is injected into the material of interest, and the induced boundary voltages are measured and used as inputs to EIT algorithms. In general, the EIT algorithm includes the forward and inverse problems. The forward problem aims to solve for boundary voltages based on an assumed conductivity distribution, whereas the inverse problem seeks to estimate the conductivity distribution of the material from boundary voltages. Built on our existing algorithms, this project will focus on using different computational techniques to effectively reconstruct the EIT inverse problem and achieve new functionalities including high-speed dynamic mapping and reconstruction uncertainty analysis. The performance of the developed EIT algorithms will be computationally evaluated based on simulated case studies. This research can be conducted virtually. Project Impact Statement: 1) Tangible research products, including EIT algorithms, publications, and preliminary data to support proposals for federal research grants; 2) Students’ “Learn by Doing” research experience, including literature review, data processing, coding, and academic writing and presenting. The students will learn about advanced computational techniques and be trained to tackle practical engineering challenges. 3) Establish the foundation for multidisciplinary collaborative opportunities at Cal Poly and with other Universities and industrial partners Project Emphasis Area and Expected Outcomes: 1) Mentoring Emphasis: The PI will recruit and closely mentor a multidisciplinary and diverse student team from different CENG Departments (priority will be given to underrepresented students). The PI will train the students on comprehensive aspects of academic research. The PI will continuously evaluate the students’ performance in the form of weekly group meeting, where the students will be asked to give formal academic presentation to demonstrate their research progress. 2) Exploratory Research Emphasis: Reconstructing the inverse problem is challenging in the EIT problem due to its ill-posedness nature, and this has attracted extensive studies focusing on enhancing the efficiency and accuracy of the algorithms. PI’s previous work mainly focused on using the EIT technique to detect static or quasi-static material properties. To expand PI’s previous work, this project will employ different computational techniques to solve the inverse problem and potentially achieve new functionalities including detecting dynamic changes in material properties and analyzing the uncertainty in the reconstruction. 3) Interdisciplinary Emphasis: First, the PI will recruit and mentor students from different Departments in the CENG on this project. Based on the computational platform developed in this project, the students will collaborate with several other research students in the PI’s team, whose research areas are nanotechnology and sensor design. The goal is to integrate the EIT algorithms with innovative sensing nanomaterials for noninvasively monitoring the integrity of various structural and/or biological materials. The PI will actively bridge multidisciplinary collaboration with faculty from different Departments in the CENG Planned Student-Faculty Co-Authored Publication(s): 1) 1 journal paper: Relevant high-impact journals include Smart Materials and Structures, Nature Scientific Reports, and IEEE Sensors Journal, among others. 2) 1 conference papers: Relevant international conferences include International Workshop on Structural Health Monitoring (IWSHM) and SPIE Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring, among others ____ Submitted By: Kurfess, Franz Application Title: The Smart Swanton Pacific Ranch The August 2020 CZU fire destroyed and damaged a significant number of structures at Cal Poly’s Swanton Pacific Ranch (SPR). This monumental loss, however, also offers new opportunities. The goal of this project is to explore opportunities for including “smart” technologies in the rebuilding, restoration, and re-vegetation efforts at the Ranch. This includes sensor networks, “smart building” technologies, and communication infrastructure on one hand, but also the use of AI methods such as Deep Learning and Knowledge Graphs for the above activities. This project will expand two related activities: Cal Poly’s Data Science Strategic Research Initiative, and an ad-hoc effort of a group of faculty and staff interested in data collection at SPR. It has the potential of involving students from a wide range of disciplines from all colleges at Cal Poly. Project Impact Statement: While a project like this one will only be able to make small contributions to the recovery of the Ranch from the devastating fire, we see both short-term and long-term impacts: – Creation of an initial computational model of the Ranch. -Expansion of the SPR “Poppy” chatbot created by Cal Poly’s CSAI club in collaboration with Jeanine Scaramozzino (Cal Poly Library). – Improved data collection about activities at the Ranch. – Consolidation of existing data sets about the Ranch. – Larger and higher-quality data sets for future research activities. – Better planning and coordination of SPR restoration efforts. Project Emphasis Area and Expected Outcomes: Exploratory Research: In this project, we will expand the initial investigation from two class projects in the Winter 2021 class, CSC 570 Deep Learning and Knowledge Graphs, with three main goals:
  1. Develop an initial computational model for the Ranch. This includes an entity database with buildings and structures, but also machinery and devices with sensory equipment relevant to data collection at the Ranch. This database is augmented by a Knowledge Graph that incorporates relationships between the above entities. The knowledge graph provides access to data sets and to advanced computing methods like machine learning tools and reasoning components. It will be integrated with a chatbot, Poppy, that has been built by Cal Poly’s Computer Science and Artificial Intelligence (CSAI) club, including a hardware version to be installed on the Ranch in the summer.
  1. Continue an effort to consolidate and curate a collection of sensor datasets at the Ranch. These sets include weather station stream gauge and fish count data, a continuous forest inventory, various satellite and aerial image collections, photographs and movies, and others. Most likely, other parties at Cal Poly and outside collaborators have additional data sets.
  1. Explore strategies for a smart sensor network at the Ranch, based on Internet of Things and related technologies.
Depending on the number of students involved and their particular interests, there are other outcomes that can be pursued: – Integration of the Continuous Forest Inventory with aerial imagery. – Construction of 3D models for SPR buildings from photographs and historic documents. -Wildfire and mudslide prediction models based on before/after data for the August 2020 CZU fire at the Ranch. Interdisciplinary: This project is particularly suitable for students with a background in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Agricultural Engineering and Agriculture in general, Animal Science, Forestry, Botany, Civil and Structural Engineering, Architectural Engineering, and Landscape Architecture. Students from other disciplines with a strong motivation to work on this project can also be integrated. Partnerships: This project will strengthen existing collaborations between various departments in CAFES, CEng, CoSaM, and the Library, and open up opportunities to establish new ones. Planned Student-Faculty Co-Authored Publication(s): This project has the potential to lead to publications in three areas: 1.Applications of Artificial Intelligence, in particular, Machine Learning, Knowledge Graphs, and Image Processing;
  1. Agriculture and related disciplines;
  2. Educational Aspects.
Students will work with me on incorporating previous work, engaging with collaborators from external partners, and identifying suitable publication venues, such as professional conferences (Neural Information Processing Systems – NeurIPS; International Conference on Machine Learning- ICML; IEEE/CVF Conference on Computer Vision and Pattern Recognition – CVPR; AI Hardware Summit; AAAI Conference on Artificial Intelligence; International Joint Conference on Artificial Intelligence – IJCAI), workshops and conferences specifically for undergraduate researchers, and journals. In addition, the collaboration on the Ranch with domain experts in Agriculture and related areas will open up opportunities in those areas. A submission resulting from last year’s SURP project, “Shark Spotting with Drones”, led to preliminary acceptance for the 2021 ASEE Conference in Long Beach in the Marine Science track. I would expect a similar outcome for this project. I expect Grey Hayes, the SPR research and education coordinator, to be a collaborator on this project. He is currently on a well-deserved break without Internet access until the end of March, and I don’t want to add him as co-PI without his approval. ____ Submitted By: Jennifer Peuker Application Title: Implementing Social Justice Projects in Thermal System and Mechanical Design Courses The project described here is a continuation of a curricular reimagining project designed to integrate social justice into a thermal systems design course and a machine design course, both taught within the Mechanical Engineering Department. There are myriad definitions of social justice, most of which support the idea that social justice is a value or belief that people should have equitable access to resources and protection of human rights. Engineers, whose impact on human lives is so far-reaching, have unique potential and unique responsibilities and accountability to society. To develop young engineers’ understanding of this potential and responsibility, discussions of social justice need to be integrated at multiple junctures through the engineering curriculum, especially in the spaces deemed purely technical. To this end, through support from an Engineering IDEAS grant, Dr. Jennifer Mott Peuker worked with a team of students to implement three social justice modules into her thermal systems design course in Fall 2020. These modules were based on Dr. Donna Riley’s “Engineering Thermodynamics and 21stCentury Energy Problems: A Textbook Companion for Student Engagement”. Dr. Lauren Cooper used her IDEAS support to engage two students in the adaptation of two modules from Riley’s text to fit her mechanical systems design course context, which will be implemented in Spring and Summer 2021. Our SURP students will analyze quantitative survey data and qualitative focus group data collected in Dr. Mott’s thermal systems design course. They will also help write an IRB proposal, generate surveys, and lead focus groups with Dr. Cooper’s Summer 2021 mechanical systems design course students. Lastly, we envision our students to actively help us refine and shape our social justice modules based on their own experience as students and what we collectively glean from preliminary data analysis. Ideally, we would be able to meet and work in person during the summer, however, all tasks could be completed remotely as well. Because of this, students will not be required to physically be in San Luis Obispo for the summer to be able to work on this project. Project Impact Statement: Our SURP students will gain valuable experiences in research methods and design, interview protocols, qualitative and quantitative analysis, data presentation management, communication skills, and research paper and grant proposal writing. We envision that students who apply to work on this project will have an affinity for social justice; hence, through this project we hope to empower students to learn how they can work towards social justice in ways that support their professional development and career plans. As two tenure-track Assistant Professor in Mechanical Engineering, this project will directly support our goals related to scholarly activity and professional development. We are actively seeking external funding to support our work; having preliminary data to demonstrate the benefits/challenges/strategies of integrating social justice curriculum into core engineering courses will undoubtedly serve to strengthen our future proposals for outside funding. Project Emphasis Area and Expected Outcomes: The proposed project most closely aligns with the SURP emphasis areas focused on mentoring and exploratory research. Toward our personal commitments to diversifying the research capacity on our campus, we will prioritize applicants who are transfer students, first time applicants, and/or from under represented groups. We seek students who are passionate about and committed to transforming engineering curriculum toward greater justice, diversity, and inclusivity. Both Dr. Cooper and Dr. Mott Peuker are active, core members of the Mechanical Engineering Diversity and Inclusivity (MEDI) Committee. One of the long-term visions of the committee is to revolutionize our mechanical engineering curriculum through the integration of social justice into additional core engineering courses, including statics, dynamics, controls, and fluids. There are other faculty members in our department aligned with this vision, yet we all know that developing new curriculum is time-consuming. Furthermore, as the integration of social justice into core engineering courses has only been explored at a handful of institutions, there are limited examples and models to draw upon. Hence, opening up this new line of research now will help us become innovators and leaders in this area. In terms of mentoring, we will utilize an assets-focused model of mentoring focused on student strengths and the ways in which these connect to their personal and professional goals and identities. We will support our students to engage in short-term and long-term goal setting (related to academics, future career planning, personal aspirations, etc.) and connect them to campus (or other) resources to help them reach those goals. We see engaging in related workshops and activities as an integral part of the research experience. Planned Student-Faculty Co-Authored Publication(s): We recently submitted three conferences papers based on our curricular reimagining project. Two papers will be presented at the American Society for Engineering Education (ASEE) Pacific Southwest regional conference in April; the third paper will be presented at the ASEE national conference in July. One of these papers was coauthored with students. Looking ahead, our next planned publication involving students will be a journal paper. The progress we will make this summer with our SURP students will position us to target a well-respected journal such as the Journal of Engineering Education (JEE) or the International Journal of Engineering Education (IJEE). Comments to the Administrator(s): Statement on Diversity and Inclusivity: Given the project focus on mentoring, our commitment to diversity and inclusivity is central to our work. We acknowledge the fact that we will always hold biases, both conscious and unconscious, that can counteract our efforts to foster inclusive teaching and mentoring environments. By doing the hard work of learning to recognize and confront our biases, we can create environments where our students and mentees experience a sense of belonging, freedom of expression, autonomy, and a sense that their perspectives and lived experiences are valued and considered a resource, strength, and benefit. Statement on Remote Research: Ideally, we would be able to meet and work in person during the summer, however, all tasks could be completed remotely as well. Because of this, students will not be required physically to be in San Luis Obispo for the summer to be able to work on this project. In this case, it opens up more options for potential students. ____ Submitted By: Jacques Belanger Application Title: Validation of the Cal Poly Gold Tree Solar Field Power Optimization Model The 4.5 MW Gold Tree solar field on Cal Poly’s campus offers an invaluable opportunity for our students to work on a utility scale single-axis tracking solar field in collaboration with engineers from the company managing the field, REC Solar. The solar field was built on campus and the contract included access for Cal Poly researchers to real time data from the field as well as physical access to the site. Currently the energy generation of the solar field is below the original estimate due in large part to the skewed topography of the site. That topography has led to one row of panels shading adjacent rows in the morning and evening. Our research group, over the last two years, has developed a model of the solar field with the ultimate goal of optimizing the solar field energy generation. The model is at this point fairly accurate but we have recently discovered a few discrepancies that need to be further investigated. The students chosen for the project this summer would be investigating those discrepancies. The first one is related to the model predicting the power generated by a panel. To accurately predict that power you need to know the panel temperature and how it is affected by partial shading. The students will perform field measurements and shading experiments in our solar lab to test and validate the temperature and shading models used in our simulations. Another discrepancy that needs to be investigated is differences between data provided by the online data acquisition system operated by REC Solar and actual data measured in the field. An example is the tilt angle of the panels, where the observed tilt angle of the panel could be up to 4o off the value indicated by the data acquisition system. This angle difference changes the shading patterns on the panels and results in incorrect power generation prediction by the model. The students will compare their field measurements with values provided by the data acquisition system to identify discrepancies that are affecting the accuracy of the model. As a challenge, we will ask the students to design field measurement tools that could collect and store the data autonomously. Project Impact Statement: This optimization of solar field’s power generation is a high impact project in that it’s focused on an area of great interest to the state of California, Cal Poly and REC Solar. The immediate impact of this work will be financial savings for Cal Poly from the increased output from the Gold Tree solar field. Students working on this project will get hands on experience with a commercial scale photovoltaic field in a multidisciplinary environment and will interact with engineers from the industry. The faculty involved in this project, including representation from mechanical engineering, electrical engineering, civil engineering and computer science, firmly believe we will be successful in developing this into a sustained research program as California has ambitious goals for moving more of our power generation to renewables. Long term we plan to publish our findings so that future arrays built on skewed topography will have better tools available to optimize the original design of the site and to better predict its potential power generation. These improved tools will in the long run help California reach its renewable energy portfolio goal. Project Emphasis Area and Expected Outcomes: This project offers a unique opportunity for undergraduate students to get involved in research. The students would be working with two master’s students working on the optimization program itself. The addition of these undergraduate students for these tasks this summer would be very beneficial to the research project and an appropriate expertise level for undergraduate researchers (lower division would be fine). This project will lead us to a sustainable research program that will be attractive to funding agencies such as the Department of Energy (DOE) and the California Energy Commission (CEC). Finally, we are building a working relationship with engineers from REC Solar and Duke Energy who are very interested in this work. The expected outcomes include improved power generation from the Gold Tree Solar Field and improved tools for future development of single-axis tracking systems on skewed topography. Planned Student-Faculty Co-Authored Publication(s): Over the last two years, the ME solar research lab has presented results in two conferences, has published one journal paper and has recently submitted another paper for publication. We have two authors on those publications that have worked in the solar lab as SURP students. We expect this research on the field optimization modeling to be at a stage where we will be writing a conference paper at the end of the summer. That paper will include the work performed by our 2021 SURP students. The conferences we are targeting include the ASME Power conference and/or the American Solar Energy Society (US section of International Solar Energy Society) conference. Starting in the fall of 2021 we believe we will have the necessary background to write proposals to funding agencies (DOE, CEC …) that would have a good chance of success and plan to submit papers to peer reviewed journals. Submitted By: Mohamed Awwad Application Title: Decision Support System for On-campus COVID-19 Vaccination Allocation and Distribution Vaccinati on is considered the main breakthrough in the fight against the COVID-19 pandemic. With more people having access to the vaccine and hoping to get back to everyday life, there are still some doubts regarding equitable and fair access of some segments of the population to the COVID-19 vaccine. A part of this population that has not been prioritized yet to receive the COVID-19 vaccine is college students. However, and with ramping supply and availability of the vaccines over the next months, a plan must be developed to inoculate this age group with the vaccine. Allowing college-students to resume their normal daily activities, most importantly attending college in-person and in a safe environment. This research project’s primary goal is to allow an interdisciplinary team of Cal Poly Engineering students the opportunity to develop a decision support system (DDS) to help a priority-based allocation and distribution of COVID-19 vaccines with a case applied to the Cal Poly campus. Additionally, and under the faculty advisor’s supervision, the students will test the developed DDS to enable campus leadership and other stakeholders to make real-time decisions regarding the distribution of COVID-19 among the student population. The DDS will integrate data analytics and simulation methods to solve vaccine allocation and optimal distribution problems. The impact of this research project perfectly aligns with the goals of the SURP: The project will help Cal Poly engineering students, especially lower-division students, in their professional development early on in their academic careers. The project will allow the students the chance to discover other engineering disciplines and work on a result-driven multidisciplinary team of researchers. For example, an industrial engineering student will get the opportunity to work on a classical industrial engineering problem related to production allocation and distribution while collaborating with a computer major in developing the decision support system. Project Impact Statement: 1.The project will allow the PI (early-career tenure-track assistant professor) to utilize his summertime in conducting meaningful and impactful research. The project will advance the PI’s research agenda, help Cal Poly manage the COVID-19 pandemic, and resume full and safe face-to-face on-campus instruction by widening equitable access to COVID-19 vaccines. 2.Finally, this research effort will allow the researcher to submit proofs of concept that would enable further opportunities to seek support for future research work from external organizations. 3.This project will compromise two emphasis areas; emphasis on mentoring, and interdisciplinary work. expected outcomes: Project Emphasis Area and Expected Outcomes: 1. Develop a decision support system (DDS) that would enable decision-makers to make real-time decisions about the distribution and equitable allocation of COVID-19 vaccines to university students. 2. Validate and verify the DDS-generated plans using the Cal Poly campus case. 3. Enhance the student researchers’ presentation and communication skills through writing and presenting their research outcomes. 4. Disseminate project and research outcomes, both internally and externally. Planned Student-Faculty Co-Authored Publication(s): With the advisor’s help, the student researchers should be able to communicate their research findings and experience both to internal and external audiences. To disseminate the research findings to an internal audience, the students will develop a poster and participate in the SURP symposium. As for external validation and publication, there are two target media; 1) the proceedings of the 6th North American Industrial Engineering and Operations Management (IEOM) Conference, and 2) the 2022 CSU student research competition through its three levels. The faculty advisor will work closely with the students to verify and validate their research findings, proof-read their original writing, and practice presenting the research before a larger audience. ____ Submitted By: Jean Lee Application Title: Development of Cost-Effective, Recyclable Nanosensors for Rapid Detection of Water Pathogens The presence of microbial pathogens in water poses a high risk to public health worldwide. Current commonly used detection methods for these pathogens are time consuming and might not be accessible in certain parts of the world due to cost or resource limitations. This project aims to develop a nanotechnology-based method that can rapidly give a qualitative indication of the presence of water pathogens through color change, and quantitatively determine the concentrations of pathogens in water samples using non-sophisticated equipment. This detection technique has previously been reported in the literature using gold nanoparticles as the nanosensors. In this technique, the addition of the negatively-charged enzyme ß-galactosidase (ß-Gal), the dye chlorophenol red-β-D-galactopyranoside (CPRG), and positively-charged gold nanoparticles to a water sample without microbes will result in the ß-Gal binding to the gold nanoparticles via Coulombic attraction, and the color of the water will not change. However, when the negatively-charged microbes are present in the water sample, competitive binding will take place and the microbes will bind to the gold nanoparticles, freeing up the ß-Gal to react with the CPRG and change color. The magnitude of color change is directly proportional to the microbe concentration in the water sample. This project seeks to improve this method by using less expensive materials instead of gold for making the nanosensors, and investigating the re-use of nanosensor materials. Candidate sensor materials to be studied in this project include inexpensive insulator materials with low toxicity (such as sand or SiO2) and magnetic materials (such as iron oxide). These materials can be charged by rubbing with a wool or other type of cloth. After use, the sensor material is sterilized and re-used, and the performance of the candidate sensor materials when re-used will be studied. This project will also investigate whether positively-charged nanosensor materials can be eliminated altogether from this technique by using an electrically insulating material to contain the water sample (such as a clear glass vial) and positively charging the container. In this case, it is hypothesized that any negatively-charged microbes in the water sample will be attracted to the walls of the container, and that the ß-Gal and the CPRG that has been added to the water sample should react to change the color of the water to indicate the presence of microbes. If successful, the technology from this project can be commercialized and used for the testing of water quality in resource challenged locations to determine if their water is safe to drink and use. Project Impact Statement: The impacts of the learning opportunities presented to the students participating in this project are expected to help the students develop professionally and enhance their portfolio for future employment. These impacts include: Gain in technical knowledge and skills: Learning and carrying out relevant safety practices. Learning how to conduct a literature search. Learning about water quality testing, colorimetry, charged materials, and magnetic materials. Learning how to design experiments. Learning how to select and apply appropriate data analysis methods Practicing problem solving and critical thinking skills, and exercising creativity: Creating a hypothesis around a solution to a problem and selecting logical approaches to test the hypothesis. Practicing appropriate analysis and interpretation of data to yield logical conclusions Identifying and engaging in opportunities to improve the project (e.g., how to account for data and factors that are difficult to access, introducing new factors to study, etc.) Practicing professional skills such as responsibility, teamwork, communication, and ethical behavior: Understanding project expectations and owning and delivering project deliverables. Understanding and meeting expectations for safe, responsible, and effective use of (shared) resources. Engaging in an effective, professional, and timely manner with appropriate personnel when problems arise. Practicing clear, accurate, logical, concise, and professionally appropriate verbal and written communication related to the project. Understanding and engaging in ethical and responsible behavior (such as accurate and complete reporting of project results, taking responsibility for and correcting one’s mistakes, etc.) Exposure to a research career. This project is expected to help the faculty mentor advance their research programs in the following ways: The project provides the faculty mentor an opportunity to stay abreast of and engage in current challenges in the fields of environmental sustainability and public health This project is expected to produce new and publishable/patentable information about effective, inexpensive, and environmentally friendly materials and mechanisms for the detection of pathogens in water. It is expected to result in a peer-reviewed intellectual contribution co-authored by both the students and the faculty mentor to the field of environmental technologies. This project also has the potential to produce practical results that can save lives by improving public health. These results can help the faculty mentor in refining the formulation of and scale-up testing of sensor materials and mechanisms for detection of pathogens in water. Project Emphasis Area and Expected Outcomes: The project emphasis area is exploratory research. Expected outcomes include: Professional growth for the students via gains in knowledge about water quality testing, colorimetry, charged materials, and magnetic materials; and gains in knowledge and experience in how to conduct research (including safe lab practices, improvement in problem solving skills, design of experiments, data analysis, communication, teamwork, etc.) Professional growth of the PI as a teacher-scholar, where the PI expects to discuss this work in their courses as an example of creating engineering solutions that are inexpensive and environmentally friendly (and therefore broadly applicable). Work from this project is expected to result in a student co-authored, peer-reviewed intellectual contribution (in the form of a publication and/or patent) in the field of environmental technologies. Planned Student-Faculty Co-Authored Publication(s): The work resulting from this project is expected to be submitted for a patent application and/or for publication in a peer-reviewed journal such as Environmental Science and Technology with the students as co-authors. The students will be expected to present their work on this project at the SURP Symposium. ____ Submitted By: Trevor Cardinal Application Title: Bioprinting & thermo-responsive polymer extrusion for cell therapy delivery Our Laboratory in investigating skeletal muscle progenitor cells as a potential therapeutic candidate for peripheral artery disease. Maintaining the viability of transplanted cells requires the use of a transplant vehicle to provide the cells with a structural support. Students will evaluate cell distribution, viability, and phenotype in vitro and in vivo in two polymer hydrogels prepared by both bioprinting and manual extrusion. The specific hydrogels include a commercially-available formulation of pluronic-F127 with alginate and a customsynthesized tri-polymer prepared in the laboratory of Dr Philip Costanzo (Chemistry & Biochemistry) that has thermoresponsive properties (i.e. liquid at room temperature and semi-solid at body temperature) and is composed of poly(n-isopropylacrylamide), hydroxyethyl methacrylate, and hydroxyethyl arcylate. Project Impact Statement: Students working on this project team will learn how to: mix and prepare bioinks, combine bioinks with cells during bioprinting or manual extrusion, visualize cells, and transplant polymer-cell constructs. These techniques will require students to weigh, measure, mix, and degas polymers, perform cell staining and microscopy, and perform animal handling and microsurgery. On a more fundamental, students will learn skills related to time management and organization, teamwork, laboratory safety, laboratory documentation through electronic laboratory notebooks, data analysis, technical communication, and most of all- troubleshooting and problem solving. Project Emphasis Area and Expected Outcomes: Interdisciplinary Emphasis and Mentoring Emphasis. This project will build upon a collaboration between my laboratory and Dr Costanzo’s laboratory, and I will consider only students without previous research experience for this project. The SURP project team will be fully included in weekly whole-group lab meetings, and will also meet with me weekly in their subgroup. This SURP project will involve advancing project areas currently being addressed by 3 graduate students in the lab; those graduate students will assist me in mentoring the project team and training them in the skills and techniques required for the project. While the techniques employed in this project are advanced, I have a history of successfully teaching them to freshman, transfer students, and community college students (the latter through the Bridges to the Baccalaureate Program). Additionally, I consider greater diversity to be of inherent benefit to this research. Interpreting our studies, which guides subsequent projects, requires myself and students to speculate and form arguments based on primary literature. Diversity of past experiences enriches the possible interpretations that we can form and increases the likelihood identifying the path forward that is most likely to succeed. Planned Student-Faculty Co-Authored Publication(s): Successful completion of the described project would form the basis for a conference abstracts for the CSU Biotech Symposium, CSU Research Competition, or UC Bioengineering Conferences in 2022. Depending on the availability of funds, national conferences through the Biomedical Engienering Society, American Society for Cell & Gene Therapy, and Tissue Engineering and Regenerative Medicine International Society. Successfully completing the described project would also form a portion of a journal publication. The exact definition of that body of work depends on the results of the described project, but I will eagerly work with the students to prepare methods/results descriptions and figures related to each of their results, and solicit their contribution to the introduction and discussion sections. ____ Submitted By: Kristen Cardinal Application Title: Scaffold Fabrication and Vessel Cultivation for Tissue Engineered “Blood Vessel Mimics” The goal of Professor Kristen Cardinal’s research lab is to grow tissue engineered “blood vessel mimics” to use as early-stage living testing systems to evaluate vascular devices such as stents and flow diverters. These tissue engineered vessels consist of a polymer scaffold, or tube, lined with human endothelial cells, and cultivated in a bioreactor system. Over the past several years, the lab has established new techniques and implemented new components for creating customized and/or more optimized vessels. These recent advances have primarily been based upon new scaffold options, including more compliant electrospun materials and more customizable silicone geometries. As the lab continues to expand and build upon these areas, it is important to understand the reproducibility and scalability of the new techniques. The goal of this SURP project is to have a team of 2 students working together on scaffold fabrication and vessel cultivation using these new techniques in order to characterize reproducibility. One student will specifically focus on the scaffold fabrication aspect, learning and performing electrospinning, while the other student will learn how to create vessels to carry out the vessel cultivation aspect. In order to be ready to evaluate reproducibility over summer, each student will need to receive preliminary training in their respective techniques prior to June 2021. Project Impact Statement: This project will impact the students, the faculty member, and the research lab. For the students, this project will provide numerous skills that are important in the tissue engineering and biotechnology fields. Overall, this will provide experience for future internships and career trajectory, context for future coursework, and the foundation to become leaders in this research lab on campus. Specifically, for one student, this project will be centered around extensive lab experience in electrospinning, which is an important polymer fabrication technique. The student will learn how to electrospin with different polymers, how to use the SEM for imaging, and how to quantitatively characterize the resulting scaffolds. The other student will learn how to work in a biological safety cabinet to effectively culture cells and create tissue engineered vessels, and how to use fluorescent staining and microscopy to visualize and assess the resulting vessels. Both students will have the opportunity for collaboration and teamwork, as they work with each other and with others in the larger lab group. In addition, it is hoped that both students will remain active members of the lab beyond the Summer 2021 project, as prior SURP experience suggests that these students can become valuable contributors and eventual leaders in the lab in the upcoming years. For me as the faculty advisor and for my research lab, this project will also have a significant impact. As we continue to advance and improve the tissue engineered models in my lab, it is necessary to constantly balance and assess new capabilities with regard to their reproducibility, as that is a key aspect of making these preclinical testing systems scalable. The students this summer will not only learn and take over certain techniques from graduating seniors, but they will do important work towards understanding and documenting how reproducible some of our newest techniques are. Additionally, students that are capable of electrospinning and vessel cultivation are crucial to my research team, and the ability for students to spend 20 hours per week learning and mastering these techniques has proven to be extremely valuable based on past SURP experiences. As mentioned above, these students are likely to quickly become lab leaders. Project Emphasis Area and Expected Outcomes: The project emphasis areas for this project include both the “Mentoring” and “Exploratory Research” emphases. Related to the mentoring emphasis, I believe this project will provide a valuable set of skills for the students, increasing their experience for future jobs and internships, and will also set them up for success for future work in my research lab. I hope to select earlier-stage undergraduates for this project, so that they can continue their contributions and lab work for at least 1-2 years beyond this initial SURP experience. This project also has an exploratory research emphasis, as the specific focus on reproducibility of our new techniques will generate important information for my tissue engineered blood vessel research, and may lead to protocol adjustments and/or novel approaches. The overall expected outcome for this project will be a compilation of the parts from each student and will include images, quantified data, and clear conclusions regarding how reproducible our new scaffold fabrication and vessel cultivation protocols are. Specifically, we will have data from numerous electrospinning runs under different conditions, and we will have quantified data from vessels created throughout numerous experimental set-ups. If results are consistent and suggest that new methods are in fact reproducible, then we will be ready to confidently scale up these techniques. If results are inconsistent and suggest that reproducibility is challenging, we may have additional outcomes related to protocol improvements. Planned Student-Faculty Co-Authored Publication(s): A successful outcome with this project will have numerous potential modes of publication and dissemination. At the very least, this work will be the foundation for future publications that use and apply these techniques, and it is possible that the new approaches could be published directly as a Methods publication if the approaches demonstrate success and reproducibility this summer. We have had success recently publishing our work in journals ranging from Tissue Engineering, to the Journal of NeuroInterventional Surgery, to the Journal of Materials Science – so there is a broad potential audience for this work. Additionally, the students will be encouraged to submit an abstract to present their work at the annual BioInterface student poster session (funding permitting). And finally, the results from this project will likely be shared with current and potential industry collaborators interested in our techniques and our models. ____ Submitted By: Maria Pantoja Application Title: Cloud Coverage Prediction To Improve Solar Power Management As a part of the efforts by the California State University (CSU) System to achieve carbon neutrality by 2050, the Gold Tree Solar Farm (GTSF) was built on the San Luis Obispo campus. One of the challenges with integrating solar energy into the energy grid is the peak electrical demand does not coincide with peak power generation from solar fields. Solar energy is also considered an unreliable energy source because production varies significantly depending on the weather conditions. Utility providers are often required to balance solar generation to meet consumer demand, which often includes the costly process of activating/deactivating power plants. Therefore, there is considerable interest in increasing the accuracy and the granularity of solar power generation forecasting. This improved forecasting would reduce fluctuations of the electrical grid and facilitate its management. In this project, our goal is to be able to accurately forecast cloud coverage over a solar field up to 30 min into the future. The predictions are based on computer vision techniques which analyze total sky images deployed in the field. Project Impact Statement: The goal of this project is to help Cal Poly Engineering students develop professionally and enhance their portfolios for future employment, at the end of the research we will submit a paper for conference publication. Project Emphasis Area and Expected Outcomes: The project also has an Exploratory Research Emphasis – PI will base project on new lines of inquiry with the goal of developing sustaining research programs/partnerships. The goal is to develop a Deep Learning algorithm that uses the cloud percentage coverage (current no prediction) algorithm we already have and feed this data as the input to a Recurrent Neural Network to predict the coverage in 5min, 15 min and 30 min later The project has also an Interdisciplinary Emphasis – PI will partner with Co-Investigators from across departments and across colleges; students will be selected from multiple disciplines, computer science and mechanical engineering. Planned Student-Faculty Co-Authored Publication(s): We plan to publish the result of our work on a Machine Learning Conference, we are thinking on: Neurips 2021 Project Modality: The project can be done both in-person or virtually. For this summer I do prefer it is online , is mostly software development we already have the images from the infield cameras. ____ Submitted By: Mohsen Beyramali Kivy Application Title: Creating Learn-by-Doing Labs for MATE Department’s Freshman Level Labs In this proposed summer undergraduate educational research project, two undergraduate students will work with the PIs to create at least two practical design labs for the department’s freshman level courses, including MATE 110 and MATE 120 (Introduction to Materials Engineering Design I and II respectively). In these labs, freshman students will combine Theory, Granta Edupack Databases, and Experimentation to practice the concepts of Materials Engineering Design. The design labs will include project management, documentation in design, manufacturing techniques, and analysis of testing data. Created labs in this project will be implemented in Fall 2021 and Winter 2022 for the first time, the results and feedbacks will be collected and analyzed, and the necessary changes and improvements will be considered by the PIs for future years. Project Impact Statement: Introduction to Materials Engineering Design lab series (MATE 110 and MATE 120) are the first major courses that the Materials Engineering freshman students take within the department. These lab series intend to (a) introduce the basics of the Materials Engineering aspects, and (b) teach complete design processes including project management, documentation in design, testing/manufacturing techniques, and analysis of testing data. As a side benefit, these lab series also try to excite the freshman students about the Materials Engineering major and help them to cultivate their sense of belonging. Unfortunately, due to the lack of designated laboratories, the contents of these lab series have been a bit of trial-and-errors over the past years as different instructors have different preferred teaching materials. Therefore, we (the PIs) believe that having a series of high-quality practical design labs with proven learning outcomes can (a) standardize these courses to ensure that all the students have certain necessary knowledge and skills before taking their upper-level courses, (b) enhance student’s success in understanding the fundamentals of the Materials Engineering Design, and (c) assist the instructors who may teach these labs in future. Moreover, since these labs will be designed as multiweek team experiments, they will provide great opportunities for freshman students to know each other, practice teamwork, and exercise different levels of responsibilities. PI Kivy (with Materials Design research background) has taught MATE 110 and MATE 120 labs as both in-person and virtual classes during 2020-2021 AY and will be advising the technical contents of labs created in this proposed summer project. PI Johnson-Glauch (with Engineering Education research background) has taught a virtual section of the MATE 120 in Winter 2021 and will be advising the educational aspects of labs created in this proposed summer project. Since these labs will be created by the MATE Department’s undergraduate students, we believe that they will benefit from the student’s points of view and will be more accessible and engaging for the freshman students. Finally, we believe that adding these labs to the Introduction to Materials Engineering Design lab series can significantly enhance the quality of these labs both in the short and long term. Project Emphasis Area and Expected Outcomes: This project will focus on the Mentoring Emphasis and Exploratory Research Emphasis areas of the SURP program. Because this project focuses on innovation in the freshman design labs, applicants do not need to have an extensive technical knowledge. Thus, applicants from a variety of academic backgrounds would be well suited for this project, including those who have just finished their first year at Cal Poly and transfer students. Additionally, this project would serve as a springboard for both PIs to start developing sustaining research programs in the area of engineering education. The expected outcomes of this project are 1) develop lab activities that promote design thinking and interest in the major, 2) grow engineering education research activities within the MATE department, and 3) publish student-faculty co-authored papers in a national engineering education conference. The MATE department has a history of conducting engineering education research but has not done so recently. Thus, this project would help the PIs collect data for use in future proposals necessary to restart a sustaining research program in the MATE department. Planned Student-Faculty Co-Authored Publication(s): The created labs in this project will be published on Purdue University’s nanoHUB platform as Educational Resources ( They will be published as student-faculty coauthorship with Cal Poly College of Engineering affiliation, and will be available for all University Instructors around the world. Additionally, the labs will be published at the American Association for Engineering Education’s annual conference. These will also be published as student-faculty co-authorship with Cal Poly College of Engineering affiliation. We will use feedback from those at the conference to further improve the student experience in subsequent years. After the summer program, the students will be invited to be part of a subsequent study analyzing the effectiveness of the labs created run by PI Johnson-Glauch. Results from this study will also be published at the American Association for Engineering Education’s annual conference. ____ Submitted By: John Bellardo Application Title: Next-Generation Avionics for Small Satellites This project will advance Cal Poly’s next-generation avionics capabilities for small satellites. The current generation avionics, developed a decade ago, incorporated a then sector-leading combination of vertical integration, compactness, fault tolerance, software environment, and power consumption. Incremental improvements made in subsequent years have kept the platform relevant, but it is being surpassed by more recent clean-slate designs. As a result, Cal Poly is at a competitive disadvantage for the increasingly more sophisticated small satellite missions that we would like to develop. For instance, there are a number of opportunities to build and launch interplanetary spacecraft that are not well suited to the existing avionics. During the SURP the students will work with a prototype of the next-generation avionics in the CubeSat lab. They will focus on characterizing the prototype and providing recommendations for improvement. This process involves developing additional hardware and software necessary to effectively characterize performance, performing characterization, and making improvement recommendations for the next prototype based on how well the system meets mission requirements projected over the next decade. Project Impact Statement: Over the last 20 years, the Cal Poly CubeSat Lab has provided a multi-disciplinary, space-centric, educational experience for hundreds of Cal Poly students from nearly every college on campus. These extra-curricular activities have been key to many job opportunities for Cal Poly students, as the hands-on experience is highly sought after by the industry. The CubeSat Team comprises nearly 100 students from computer science; mechanical, aerospace, electrical, computer, and industrial engineering; physics; mathematics; agricultural business; journalism; business administration; and graphic communication. All of the major projects that the students work on involve close collaboration with external partners. Current partners run the gamut of the aerospace sector, including JPL, NASA Ames, Lockheed Martin, and Maverick Space. This project helps position the CubeSat Lab to be a more attractive partner for sophisticated space missions that are in the planning pipeline. The students will have the opportunity to develop new technology that will pave the way for future external collaborations. They will also be able to leverage the existing partnerships to ensure the technology meets projected stakeholder requirements, all while working in a diverse multidisciplinary environment. In addition, this project makes use of the summer months to advance the PI’s goal of positioning the CubeSat lab to be more competitive for interplanetary missions. Project Emphasis Area and Expected Outcomes: The two emphasis areas for this project are ‘Exploratory Research’ and ‘Program Development’. New technology and lines of inquiry are being developed to make the CubeSat lab a stronger partner for future missions. At the same time, the extra sponsored research opportunities provided by those missions will help sustain the CubeSat program so it can provide a high-quality experience for future generations of students. The associated expected outcomes are presented in Table 1.Expected outcomes: Table 1 outlining the expected outcomes (Bellardo) Planned Student-Faculty Co-Authored Publication(s): The CubeSat Team yearly publishes and shares results in three venues: The Spring CubeSat Workshop hosted at Cal Poly, the SmallSat Conference hosted by Utah State University, and the International Astronautical Congress whose location varies year to year. It is expected the results of this work will be published in one or more of these venues. ____ Submitted By: Pauline Faure Application Title: Small but mighty: analysis and test for the handling of 100W by a 3U small satellite The project has two main objectives: 1) thermal analysis of a 3U spacecraft and 2) testing of maximum power point tracking based electrical power subsystem for the handling of 100W. One student will be allocated to each objective. This is part of the PowerSat project, a satellite under development at the Cal Poly CubeSat Laboratory. This is a technology demonstration project, which overall goal is to demonstrate the capabilities of a payload for the generation of a 100W of electrical power within a 1U volume. The CubeSat Laboratory is tasked to design, develop, integrate, and verify the satellite bus elements that support the payload functions. In January 2020, a proposal was submitted to NASA’s CubeSat Launch Initiative for a free launch opportunity during FY2023 and the achievement of the two objectives of the project is critical for the advancement PowerSat. Project Impact Statement: Over the last 20 years, the aerospace department has enabled hundreds of Cal Poly students to have access to multi-disciplinary education through the development of CubeSats. The associated extra-curricular activities have been key to many job opportunities for Cal Poly students, as the hands-on experience is highly sought after by the industry. During AY2020-21, the CubeSat Team comprises about 80 students from computer science; mechanical, aerospace, electrical, computer, and industrial engineering; physics; mathematics; agricultural business; journalism; business administration; and graphic communication. This particular project will be executed in collaboration with a New Space company based in Germany. The combination of the diversity of students to be engaged in the project with the industry collaboration will create a unique ecosystem for the advancement of cutting edge technology in electrical power systems for small spacecraft, while supporting Cal Poly students’ skills development increasing their overall marketability and promoting valuable collaborative opportunities. Overall, the expected impacts of the project are to enhance small satellite capabilities to enable Cal Poly to tackle Lunar and Martian satellite missions as well as to provide students with a practical experience on a multidisciplinary and multicultural project. Project Emphasis Area and Expected Outcomes: This project has an emphasis on both ‘Partnership’ and ‘Exploratory Research’ as the project is based on new lines of inquiry with the goal of developing sustaining research partnership with DcubeD, the German New Space company developing the payload with which Cal Poly signed a MoU in January 2020. The associated expected outcomes are presented in Table 1. Table 1. Expected outcomes for the analysis and test for the handling of 100W by a 3U small satellite Table 1 outlining the expected outcomes for analysis and test (Faure) Planned Student-Faculty Co-Authored Publication(s): The CubeSat Team yearly publishes and shares results in three venues: The Spring CubeSat Workshop hosted at Cal Poly, the SmallSat Conference hosted by Utah State University, and the International Astronautical Congress whose location varies year to year. It is expected the results of this work will be published in one or more of these venues. ____ Submitted By: Alicia Johnstone Application Title: Radio and antenna design and test for small satellite communication The project has two main objectives: 1) manufacture and verification of X-band antenna and transmitter and 2) development of software for UHF communication. One student will be allocated to each objective. The first objective is part of a technology demonstration project in which the overall goal is to design, manufacture, integrate and verify on orbit a capable X-band radio adapted for small satellites and their inherent constraints of available volume and funds. The use of such a band for communication is critical for the advancement of space sciences and exploration. Developing such a system available at a lower cost than the current commercially available solutions would enable expanded access to space, to a larger number of organizations within and outside the U.S. The second objective is part of the continuous improvement philosophy of the CubeSat Laboratory. The software to be developed will be based on the use of a new UHF chip and will enable improved communications using the amateur radio band. It will also contribute to the educational value of using of small satellites as a hands-on application for the learning of engineering concepts. Project Impact Statement: Over the last 20 years, the aerospace department has enabled hundreds of Cal Poly students to have access to multi-disciplinary education through the development of CubeSats. The associated extra-curricular activities have been key to many job opportunities for Cal Poly students, as the hands-on experience is highly sought after by the industry. During AY2020-21, the CubeSat Team is comprised of about 80 students from computer science; mechanical, aerospace, electrical, computer, and industrial engineering; physics; mathematics; agricultural business; journalism; business administration; and graphic communication. This particular project will involve a multidisciplinary student team. The diversity of students to be engaged will create a unique ecosystem for the advancement of cutting-edge technology in radio communications and hands-on based engineering education, while supporting Cal Poly students’ skills development increasing their overall marketability and promoting valuable collaborative opportunities. Overall, the expected impacts of the project are to enhance CubeSat capabilities to enable Cal Poly to actively participate in space sciences and exploration missions as well as to contribute to the upskilling of California workforce. Project Emphasis Area and Expected Outcomes: This project has an emphasis on both ‘Interdisciplinary’ and ‘Exploratory Research’ as the project is based on new lines of inquiry tackling skills from various engineering majors. The associated expected outcomes are presented in Table 1. Table 1. Expected outcomes for the Radio and antenna design and test for small satellite communication Table 1 outlining the expected outcomes for analysis and test (Johnstone)) Planned Student-Faculty Co-Authored Publication(s): The CubeSat Team yearly publishes and shares results in three venues: The Spring CubeSat Workshop hosted at Cal Poly, the SmallSat Conference hosted by Utah State University, and the International Astronautical Congress whose location varies year to year. It is expected the results of this work will be published in one or more of these venues. Submitted By: Bruno da Silva Application Title: Text-based Assistant for Software Developers and Remote Teams Software development is strongly dependent on source code management tools and platforms such as Git, GitHub, Bitbucket, and GitLab. Software teams also rely on issue tracking systems such as Jira, Bugzilla, and GitHub Issues, to manage tasks during the development and maintenance life-cycle of software applications. By using those systems, software developers leave a massive amount of valuable data regarding the product or service they develop and the process they follow to build and maintain these products/services – we call it software repository data. However, software repository data is only partially explored by services such as GitHub. When these data are utilized to provide useful information to developers, it is usually scattered over web-based interfaces in different tools. These tools and interfaces are not always convenient for developers when they have to make quick decisions during team meetings or when they are juggling through multiple screens that they have to use to carry out their engineering tasks. Moreover, it is common that software developers work in remote teams geographically distributed. This has become even more common after Covid- Therefore, in this project, we propose implementing a smart text-based assistant for software developers and software teams to execute on well-known text platforms for teams, such as Slack, Discord, and MS-Teams. This work builds on our previous experience in successfully developing a voice-assistant (last year’s SURP project and currently being extended as an MS thesis) for software developers. Our text-based assistant will gather data from software repository platforms such as GitHub and answer questions such as “Who was the last contributor to the module”, “Who has written more tests for”, “Who has been assigned the highest number of issues in this sprint?”, “How many pending pull requests we have?”, “What’s our avg bug fixing time?”, “What’s our median pull request review time?”, “Who’s is assigned to issue #10?”, “What’s the build status of our main branch?” and some more complex questions, such as, “Who should review file App.js?”, “Who should be assigned to issue #15?”, “Have we increased test coverage in the last two sprints?”, “How much of our codebase has grown over time?” Project Impact Statement: This project will allow students to develop their software development skills by designing and implementing a software solution involving industry-standard technologies such as version control tools (e.g., Git, GitHub) and RESTful APIs (e.g., GitHub REST API). Students will also improve their software design and programming skills by implementing software components over different layers of the application architecture (integration layer to implement a plug-in for chat platforms such as Slack, Discord, and Teams; backend layer to process our business logic and pull data from the GitHub API; database layer to store necessary data). Therefore, students will be able to enhance their portfolios for future employment. Simultaneously, the faculty supervisor will be able to engage with students to advance his research agenda in two subfields of software engineering research: mining software repositories and human-computer interaction. Hence, with this project, the research team will explore the field of human-computer interaction (by means of a novel text-based assistant plug-in) applied to software development individuals and teams. Project Emphasis Area and Expected Outcomes: Emphasis Area: Exploratory Research Emphasis Expected Outcomes: 1.A smart text-based assistant compatible with professional chat platforms (e.g., Slack, Microsoft Teams, Discord). 2.A software component to map text commands into queries to gather software repository data and answer developer and software team questions. 3. Automate the process of retrieving software repository data from GitHub repositories and build responses to user questions. 4. Incremental tests to evaluate the performance and correctness of the solution in multiple scenarios. 5. Papers/Reports describing our solution and results achieved. Planned Student-Faculty Co-Authored Publication(s): There are some scientific conferences which we plan to submit papers to report the outcomes of this research. Depending on the number of students accepted we may have more than one publishable paper. Here are few options for publication venue: – 4th International Workshop on Bots in Software Engineering: -15th International Conference on Cooperative and Human Aspects of Software Engineering: – 37th International Conference on Software Maintenance and Evolution:

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