Research

Current Work in CSed

(* indicates undergraduate student author)

• Journal

  • Georgiana Haldeman, Monica Babeş-Vroman, Andrew Tjang, and Thu D. Nguyen. CSF: Formative Feedback in Autograding. ACM Trans. Comput. Educ. 21, 3, Article 21 (September 2021), 30 pages.

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• Posters

  • Georgiana Haldeman, Emma Pizer *, Mathelide Hou *, Matthew Rojas *, Kevin Han *, and Ahmed Kamran *. RAVIC: Runtime Analysis Visualizer for Introductory Courses. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 1391.

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PhD Thesis

Georgiana Haldeman. Automated feedback generation for programming assignments.

• Nguyen, Thu D (chair); Zhu, He (chair); Kremer, Ulrich (member) - Rutgers University
• Zilles, Craig (external member) - University of Illinois

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Completed Work in CSed

• Journal Papers

  • Georgiana Haldeman, Monica Babeş-Vroman, Andrew Tjang, and Thu D. Nguyen. 2021. CSF: Formative Feedback in Autograding. ACM Trans. Comput. Educ. 21, 3, Article 21 (September 2021), 30 pages.

  Download journal paper here

• Conference Papers

  • Georgiana Haldeman, Andrew Tjang, Monica Babeş-Vroman, Stephen Bartos *, Jay Shah *, Danielle Yucht *, and Thu D. Nguyen. 2018. Providing Meaningful Feedback for Autograding of Programming Assignments. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE ‘18). Association for Computing Machinery, New York, NY, USA, 278–283.

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  • Monica Babes-Vroman, Isabel Juniewicz *, Bruno Lucarelli *, Nicole Fox *, Thu Nguyen, Andrew Tjang, Georgiana Haldeman, Ashni Mehta *, and Risham Chokshi *. 2017. Exploring Gender Diversity in CS at a Large Public R1 Research University. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE ‘17). Association for Computing Machinery, New York, NY, USA, 51–56.

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• Posters

  • Joseph A. Boyle *, Georgiana Haldeman, Andrew Tjang, Monica Babes-Vroman, Ana Paula Centeno, and Thu D. Nguyen. 2019. Dynamic Recitation: A Student-Focused, Goal-Oriented Recitation Management Platform. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE ‘19). Association for Computing Machinery, New York, NY, USA, 1269.

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Completed Work in Large Distributed Scientific Workflows

• Journal Papers

  • Georgiana Haldeman, Ivan Rodero, Manish Parashar, Sabela Ramos, Eddy Z. Zhang, and Ulrich Kremer. 2015. “Exploring energy-performance-quality tradeoffs for scientific workflows with in-situ data analyses”, Computer Science - Research and Development, May 2015, pp. 207-218.

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• Conference Paper

  • Mehmet Fatih Aktas, Georgiana Haldeman, and Manish Parashar. 2014. “Flexible scheduling and control of bandwidth and in-transit services for end-to-end application workflows”. In Proceedings of the Fourth International Workshop on Network-Aware Data Management (NDM ‘14). IEEE Press, 28–31.

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