• NSERC Postgraduate Scholarship – Doctoral (PGS D) (2025)

• Bell Graduate Scholarship (2024)

• Institute for Pandemics (IfP) Graduate Studentship Award (2024)

• 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)

Papers

• Naaz Sibia, Amber Richardson, Alica Gao, Andrew Petersen, and Lisa Zhang. 2025. Student Perspectives on the Challenges in Machine Learning. In Proceedings of the 2025 Conference on Innovation and Technology in Computer Science Education V.1 (Accepted; Proceedings to be published)

• Naaz Sibia, Angela Zavaleta Bernuy, Tiana V. Simovic, Chloe Huang, Yinyue Tan, Eunchae Seong, Carolina Nobre, Daniel Zingaro, Michael Liut, and Andrew Petersen. 2024. Exploring the Effects of Grouping by Programming Experience in Q&A Forums. In Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1 (ICER '24), Vol. 1. Association for Computing Machinery, New York, NY, USA, 206–221. https://doi.org/10.1145/3632620.3671107

• Rutwa Engineer, Naaz Sibia, Michael Kaler, Bogdan Simion, and Lisa Zhang. 2024. Early Computer Science Students' Perspectives Towards The Importance Of Writing. In Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1 (ITiCSE 2024). Association for Computing Machinery, New York, NY, USA, 332–338. https://doi.org/10.1145/3649217.3653576

• Angela Zavaleta Bernuy, Naaz Sibia, Pan Chen, Jessica Jia-Ni Xu, ElexandraTran, Runlong Ye, Joseph Jay Williams, Viktoria Pammer-Schindler, Andrew Petersen, and Michael Liut. 2024. Does the Medium Matter? An Exploration of Voice-Interaction for Self-Explanations. In Designing Interactive Systems Conference (DIS ’24), July 1–5, 2024, IT University of Copenhagen, Denmark.ACM, New York, NY, USA, 16 pages. https://doi.org/10.1145/3643834.3661596

• Naaz Sibia, Angela Zavaleta Bernuy, Elexandra Tran, Jessica Jia-Ni Xu,Joseph Jay Williams, Andrew Petersen, and Michael Liut. 2024. Exploring Self-Explanations in a Flipped Database Course. In 3rd International Workshop on Data Systems Education (DataEd ‘24), June 9, 2024, Santiago, Chile. ACM, New York, NY, USA,

• Angela Zavaleta Bernuy, Naaz Sibia, Pan Chen, Jessica Jia-Ni Xu, Elexandra Tran, Runlong Ye, Joseph Jay Williams, Viktoria Pammer-Schindler, AndrewPetersen, and Michael Liut. 2024. Does the Medium Matter? An Exploration of Voice-Interaction for Self-Explanations. In Designing Interactive Systems Conference (DIS ’24), July 1–5, 2024, IT University of Copenhagen, Denmark.ACM, New York, NY, USA, 15 pages. https://doi.org/10.1145/3643834.3661596

• 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, Naaz Sibia, Rohita Nalluri, Joseph Jay Williams, Andrew Petersen, Eric Smith, Bogdan Simion, and Michael Liut. 2024. Student Interaction with Instructor Emails in Introductory and Upper-Year Computing Courses. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1. https://doi.org/10.1145/3626252.3630930

• Steven Bradley, Miranda C. Parker, Rukiye Altin, Lecia Barker, Sara Hooshangi, Thom Kunkeler, Ruth G. Lennon, Fiona McNeill, Julià Minguillón, Jack Parkinson, Svetlana Peltsverger, and Naaz Sibia. 2023. Modeling Women's Elective Choices in Computing. In Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education (ITiCSE-WGR '23). https://doi.org/10.1145/3623762.3633497

• 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. https://doi.org/10.1145/3631802.3631813

• 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

• Naaz Sibia, Angela Zavaleta Bernuy, Amber Richardson, Khushi Malik, Prajna Pendharkar, Carolina Nobre, Michael Liut, and Andrew Petersen. 2025. Reducing Isolation through Peer-Modeled Posts. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSETS 2025). Association for Computing Machinery, New York, NY, USA, 1621–1622. https://doi-org.myaccess.library.utoronto.ca/10.1145/3641555.3705238

• Naaz Sibia. 2024. Enhancing Novice Programmers Understanding through Interactive Visualizations and Multiple Representations. In Proceedings of the 24th Koli Calling International Conference on Computing Education Research (Koli Calling '24). Association for Computing Machinery, New York, NY, USA, Article 34, 1–2. https://doi-org.myaccess.library.utoronto.ca/10.1145/3699538.3699572

• Naaz Sibia, Valeria Ramirez Osorio, Angela Zavaleta Bernuy, Efthimia Aivaloglou, Rutwa Engineer, Andrew Petersen, Michael Liut, and Carolina Nobre. 2024. Exploring the Impact of Multiple Representations in Introductory Programming: A Pilot Study. In Proceedings of the 24th Koli Calling International Conference on Computing Education Research (Koli Calling '24). Association for Computing Machinery, New York, NY, USA, Article 25, 1–2. https://doi-org.myaccess.library.utoronto.ca/10.1145/3699538.3699587

• Giang Bui, Nicholas Susanto, Naaz Sibia, Angela Zavaleta Bernuy, Michael Liut, and Andrew Petersen. 2024. Do Hints Enhance Learning in Programming Exercises? Exploring Students' Problem-Solving and Interactions. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2024). Association for Computing Machinery, New York, NY, USA, 1578–1579. https://doi-org.myaccess.library.utoronto.ca/10.1145/3626253.3635563

• 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, 2019, Head TA 2020, Head TA 2021, Head TA 2022, Head TA 2023]

• Introduction to Computer Science (CSC148, winter) [2019, 2021, 2024], (CSC148, summer) [Head TA 2024]

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

• Software Tools and Systems Programming (CSC209, winter) [2020, Head TA 2024]

• Computer Organization (CSC258, fall) [2023, 2024]

• 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]

• Operating Systems (CSC369, fall) [Head TA 2023, Lead TA 2024]

• Daisy (Productivity Bot) 

• Joy (Mental Health Bot) 

• Process Visualizer 

• Dress Recommender 

• 2022-Present: Student Co-Chair, Empowerment of Marginalized Communities at ACW-NA

  • The Empowerment of Marginalized Communities (Empowerment, for short) Subcommittee leads efforts to empower, support, and connect individuals who have been systemically pushed to the fringes in computing. It promotes computing in communities throughout North America that are underserved due to the detrimental effects of slavery, colonialization, and continued marginalization.

• 2022-2023: Technical Reviewer for Algorithmic Thinking, 2nd Edition by Daniel Zingaro

  • Contributed to the technical review and refinement of content for the second edition of the textbook. Collaborated closely with the author to ensure accuracy and clarity of complex algorithmic concepts. Provided critical feedback on chapter drafts, exercises, and coding examples to enhance educational value.

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

  • Responsible for managing promotions, and planning events related to student skills and mental health in the computer science student community at the University of Toronto Mississauga. During my work as the Director of Marketing, I led a team of six students, planning weekly posts and bi-weekly events to engage students in the community. I led workshops and talks on research, industry applications, and talking about burnout.

• 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