Publications

Papers

• Naaz Sibia, Giang Bui, Bingcheng Wang, Yinyue Tan, Angela Zavaleta Bernuy, Christina Bauer, Joseph Jay Williams, Michael Liut, and Andrew Petersen. 2024. Examining Intention to Major in Computer Science: Perceived Potential and Challenges. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2024), March 2023, 2024, Portland, OR, USA. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3626252.3630843

• Angela Zavaleta Bernuy, Runlong Ye, Elexandra Tran, Naaz Sibia, Abhijoy Mandal, Hammad Shaikh, Bogdan Simion, Michael Liut, Andrew Petersen, and Joseph Jay Williams. 2023. Do Students Read Instructor Emails? A Case Study of Intervention Email Open Rates. In Koli Calling ‘23: 23rd Koli Calling International Conference on Computing Education Research, Koli, Finland, November 13 - 19, 2023. ACM.

• Naaz Sibia, Angela Zavaleta Bernuy, Joseph Jay Williams, Michael Liut, and Andrew Petersen. 2023. Student Usage of Q&A Forums: Signs of Discomfort? In Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1 (ITiCSE 2023). Association for Computing Machinery, New York, NY, USA, 33–39. https://doi.org/10.1145/3587102.3588842

• Giang Bui*, Naaz Sibia*, Angela Zavaleta Bernuy, Michael Liut, and Andrew Petersen. 2023. Prior Programming Experience: A Persistent Performance Gap in CS1 and CS2. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 889–895. https://doi.org/10.1145/3545945.3569752

• Naaz Sibia and Michael Liut. 2022. The Positive Effects of using Reflective Prompts in a Database Course. In 1st International Workshop on Data Systems Education (DataEd '22). Association for Computing Machinery, New York, NY, USA, 32–37. https://doi.org/10.1145/3531072.3535323

Posters and Extended Abstracts

• Angela Zavaleta Bernuy, Naaz Sibia, Pan Chen, Chloe Huang, Andrew Petersen, Joseph Jay Williams, and Michael Liut. 2023. VoiceEx: Voice Submission System for Interventions in Education. In Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2 (ITiCSE 2023). Association for Computing Machinery, New York, NY, USA, 585–586. https://doi.org/10.1145/3587103.3595284

• Angela Zavaleta Bernuy, Jessica Jia-Ni Xu, Naaz Sibia, Joseph Jay Williams, Andrew Petersen, and Michael Liut. 2023. Self-Explanation Modality: Effects on Student Performance? In Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2 (ITiCSE 2023). Association for Computing Machinery, New York, NY, USA, 641. https://doi.org/10.1145/3587103.3594188

• Giang Bui, Bingcheng Wang, Naaz Sibia, Angela Zavaleta Bernuy, and Andrew Petersen. 2023. Differences in Intention to Major in Computing Across CS1. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 1326. https://doi.org/10.1145/3545947.3576273

• Muyu Wang, Naaz Sibia, Ilir Dema, Michael Liut, and Carlos Aníbal Suárez. 2021. Building a Better SQL Automarker for Database Courses. In 21st Koli Calling International Conference on Computing Education Research (Koli Calling '21). Association for Computing Machinery, New York, NY, USA, Article 37, 1–3. https://doi.org/10.1145/3488042.3489970

• Pan Chen, Naaz Sibia, Angela Zavaleta Bernuy, Michael Liut, and Joseph Jay Williams. 2022. Investigating the Impact of Voice Response Options in Surveys. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 1124. https://doi.org/10.1145/3478432.3499087

Other

• Steven Bradley, Miranda C. Parker, Rukiye Altin, Lecia Barker, Sara Hooshangi, Samia Kamal, Thom Kunkeler, Ruth G. Lennon, Fiona McNeill, Julià Minguillón, Jack Parkinson, Svetlana Peltsverger, and Naaz Sibia. 2023. A Methodology for Investigating Women's Module Choices in Computer Science. In Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2 (ITiCSE 2023). Association for Computing Machinery, New York, NY, USA, 569–570. https://doi.org/10.1145/3587103.3594209

*: co-first author

• Introduction to Programming (CSC108, fall) [2018-19, 2019-20, Head TA 2020-21, Head TA 2021-22, Head TA 2022-2023]

• Introduction to Computer Science (CSC148, winter) [2019, 2021]

• Data Structures and Algorithms (CSC263, winter) [2020]

• Software Tools and Systems Programming (CSC209, winter) [2020]

• Algorithm Design, Analysis, and Complexity (CSC373, fall) [2020]

• Introduction to Databases (CSC343, winter) [2021, 2022]

• Programming Languages (CSC324, fall) [2020]

• Social Impact of Information Technology (CSCD03, winter) [2023]

• Ontario Graduate Scholarship (2023)

• Bell Graduate Scholarship (2023)

• E.A. Robinson Medal: Sciences (2022)

• Queen Elizabeth II Graduate Scholarship in Science and Technology (2022)

• Mathematical and Computational Sciences Research Award (2022)

• NSERC Undergraduate Student Research Award (2022)

• Daisy (Productivity Bot) 

• Joy (Mental Health Bot) 

• Process Visualizer 

• Dress Recommender 

• 2020-21: DevOps Intern at Oracle. Here I worked on -

  • managing continuous deployment and integration builds with Teamcity

  • building tools that helped monitor POD health, build issues, and assisted in team planning using Angular, Ruby, Redis and Sensu

  • working with terraform and OCI to upgrade pre-production pods

  • monitoring POD health with tools including sensu, kibana, and grafana

• 2021-2022: Director of Operations at UTM Computer Science Student Community