REsearch Exposure in Socially Relevant Computing


The EECS department of Syracuse University is proud to partner with Google Research to launch an undergraduate student research engagement program, RESORC (Research Exposure in SOcially Relevant Computing).

We encourage students from historically-underrepresented groups within computer science to apply, which includes, but is not limited to, women, students of color, first-generation college students, and LGBTQ+ students. No prior research experience required! Our goal is to expose students to what socially relevant computing research can look like, to help them build self-efficacy and become stronger candidates for doctoral programs, and to influence their career choices by providing a supportive community of peers.

If you have career-break and are interested to learn more about research career in computing, you are encouraged to apply to RESORC Workshop.>

About the Program

Who can apply:All current undergraduate students at EECS department can apply. The program will be virtual. However, majority of our sessions will be interactive and synchronous, hence it may be useful to attend the sessions to achieve the maximum benefit.

What experience needed: It is better if the students have completed the introductory computer science course sequence. However, no prior research experience necessary!

How much time commitment: You will need to dedicate 2 days to attend the the virtual workshops.

What will the program offer:

  • Workshop 1 (Saturday, April 8, 2023): A virtual workshop on exposure to many research areas of CS, Google Tensorflow workshop and higher education application process and best practices and a keynote by a Googler on state of the art computing innovation.
  • Workshop 2 (Sunday, April 9, 2023): A virtual workshop on advanced Tensorflow topics, introduction to research methodologies, financing graduate education, preparing REU application, hearing from current graduate students and post-graduate career opportunities.
  • Research exposure: Tons of research exposure in socially relevant computing based research problems from domain experts and disciplinary pioneers.
  • Networking: Meet and connect and network with faculty and industry researchers and graduate students who are amazing role models to learn from.
  • Speakers


    Dr. Farzana Rahman

    Affiliation: Associate Teaching Professor, Department of Electrical Engineering & Computer Science, Syracuse University
    Bio: Her research spans the domains of mobile healthcare, healthcare data analytics, and pervasive health technologies. Broadly, her research focuses on integrating mobile and pervasive technologies in health and wellness environments to improve users’ quality of life, mental and physical wellbeing. Her research also expands in the direction of mobile security, information and communication technology for development (ICT4D), Computer Science education, broadening participation in computing, best practices in undergraduate research, and how different pedagogical practices can increase diversity in CS. She is also interested in finding why and how people from diverse backgrounds are learning programming in 21st century and how the development of new kind of scalable programming environments or platform can support all kind of learners.

    Talk Title: "Short presentation introducing students to socially relevant computing"


    Dr. Endadul Hoque

    Affiliation: Assistant Professor, Department of Electrical Engineering & Computer Science, Syracuse University
    Bio: His research focuses on the security of computer networks and systems. The software of computer networks and systems continues to have exploitable vulnerabilities, which are lucrative targets for adversaries. Within this broad domain, his particular emphasis is on automated detection of vulnerabilities as well as creating resilient protocols and systems. His research primarily builds on and expands program analysis, software engineering, and formal verification. His interests span several domains of computing, including network communication protocols, operating systems, distributed systems, internet-of-things (IoT) systems and embedded devices.


    Dr. Susan H. Rodger

    Affiliation: Professor of the Practice of Computer Science, Department of Computer Science, Duke University
    Bio: Dr. Susan Rodger is a Professor of the Practice in the Department of Computer Science at Duke University. She received her Ph.D. and M.S in Computer Science from Purdue University and her B.S. in Computer Science and Mathematics from North Carolina State University. Her research is in visualization, algorithm animation, and computer science education. She has developed JFLAP, software for experimenting with formal languages and automata. JFLAP was recognized as one of two finalist candidates in the NEEDS Premier Award for Excellence in Engineering Education Courseware in 2007. Rodger leads the Adventures in Alice Programming project and has taught computing to over 300 K-12 teachers. Rodger has supervised over ninety undergraduate students in research projects. Rodger was a member and Chair of the SIGCSE Board, a member and Chair of the AP CS Test Development Committee, and is a current member of the CRA-WP Board. She is a recipient of the IEEE Computer Society 2019 Taylor L. Booth Education Award, Duke University Trinity College 2019 David and Janet Vaughn Brooks Distinguished Teaching Award, and the ACM 2013 Karl V. Karlstrom Outstanding Educator Award.

    Talk Title: "Applying to Graduate School and Preparing a Steller Application"

    Dr. Haiyan_Cheng

    Dr. Haiyan Cheng

    Affiliation: Professor, Department of Computer Science, Willamette University
    Bio: Dr. Haiyan Cheng is a Professor of Computer Science at Willamette University. She received her Ph.D. in Computer Science from Virginia Tech, her M.S. in Computer Science from University of Windsor and M.S. in Applied Mathematics from Michigan Technological University. Her research includes uncertainty quantification techniques for large scale simulations applied to weather forecast and air quality models, applied data sciences in various disciplines. She has funded and supervised many undergraduate students working on interdisciplinary research projects involving computing and data. She was the recipient of the 2021 Mentoring Award for Undergraduate Research (MAUR) by the National Center for Women & Information Technology (NCWIT) under the senior faculty category.

    Talk Title: "The power of computing and data science- Pathway to Undergraduate Research"
    Abstract: Years ago, the idea of “Computational thinking” and “Computational everything” has greatly inspired people to harness the computing power to solve large-scale real life problems. The introduction of Data Science has brought additional power into the field. What does all this mean to undergraduate students? In this talk, I will discuss the opportunities for Computer Science undergraduates including: what to research, academia versus industry, research mentorship, and how to prepare an application for an REU/summer internship. I will also showcase some of the summer projects and course projects I have supervised over the years that combine computing, data and domain knowledge.

    Program Goals

  • Train the next generation of scholars to conduct cross-cutting computing research
  • Provide research exposure to undergraduate students from populations that are under-represented in computing by introducing them to research
  • Increase students’ understanding of computing research methodologies
  • Introduce students to graduate education and research career opportunities through preparatory workshops and one-on-one mentoring
  • Provide students with multiple points of support from a diverse group of peers and faculty mentors
  • Tentative Program Schedule 

    You can find the most up-todate schedule HERE

    All times are in EDT

    Contact Us

    Do you have more question about RESORC? Please send an email to


    RESORC program is funded by Google Research and NSF.

    Google Research Image NSF Image