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DEI Service in CS department at Colgate University

DEI Research in CSed

At Rutgers University, my colleagues and I studied a dataset spanning over 3.5 academic years, looking at the gender gap, trends related to the gender gap, and how they impact retention in introductory courses.

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.

publications

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.

    Download paper here


  • 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.

    Download paper here

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.

    Download conference paper here

    • 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.

    Download conference paper here

  • 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.

    Download poster here

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

Download thesis here

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.

    Download journal paper here

  • 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.

    Download poster here

talks

Talk 1 on Relevant Topic in Your Field

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Tutorial 1 on Relevant Topic in Your Field

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Talk 2 on Relevant Topic in Your Field

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Conference Proceeding talk 3 on Relevant Topic in Your Field

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teaching

Rutgers University, a R1-university

Lecturer

  • Introduction to Computer Science (CS 111)
    • Spring 2018

Teaching Assistant (TA)

  • Internet Technology (CS 352)
    • Fall 2020
  • Data Structures (CS 112)
    • Summer 2016
    • Spring 2017

Colgate University, a liberal-arts institution

  • Introduction to Cryptography (COSC 480)
    • Spring 2023
    • Fall 2022
  • Intro to Computing II (COSC 102)
    • Fall 2022
    • Spring 2022
  • Intro to Computing I (COSC 101)
    • Spring 2023
    • Spring 2022
    • Fall 2021