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Dr. Glaucia Melo Dos Santos

I received my BSc. and MSc. (UFRJ) degrees from Brazil and my PhD in Computer Science from the University of Waterloo in Canada. I joined Toronto Metropolitan University in 2024 and am currently an assistant professor in the Department of Computer Science.

My primary research interest is in software engineering, particularly the intersection of software engineering and AI-driven development to enhance and transform how software is designed and implemented. 

"We can only see a short distance ahead, but we can see plenty there that needs to be done."

Alan Turing

Research Interests

Software Engineering and AI-Driven Development

Human-AI Interaction

Context-Aware Computing

Autonomous Systems and Adaptive AI

Contextual LLMs

Publications

For the full publication list, please refer to my Google Scholar.

Paper
G. Melo, N. Nascimento, P. Alencar and D. Cowan, "Variability-Aware Architecture for Human-Chatbot Interactions: Taming Levels of Automation," 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), Toronto, ON, Canada, 2023, pp. 122-127, doi: 10.1109/ACSOS-C58168.2023.00051.
G. Melo, L. F. Lins, P. Alencar and D. Cowan, "Supporting Contextual Conversational Agent-Based Software Development," 2023 IEEE/ACM 5th International Workshop on Bots in Software Engineering (BotSE), Melbourne, Australia, 2023, pp. 9-13, doi: 10.1109/BotSE59190.2023.00010.
G. Melo, "Designing Adaptive Developer-Chatbot Interactions: Context Integration, Experimental Studies, and Levels of Automation," 2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), Melbourne, Australia, 2023, pp. 235-239, doi: 10.1109/ICSE-Companion58688.2023.00064.
D. Paulino et al., "Stigmergy in Crowdsourcing and Task Fingerprinting: Study on Behavioral Traces of Weather Experts in Interaction Logs," 2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD), Rio de Janeiro, Brazil, 2023, pp. 1293-1299, doi: 10.1109/CSCWD57460.2023.10152765.
G. Melo, N. Nascimento, P. Alencar and D. Cowan, "Identifying Factors That Impact Levels of Automation in Autonomous Systems," in IEEE Access, vol. 11, pp. 56437-56452, 2023, doi: 10.1109/ACCESS.2023.3282617.
G. Melo, N. Nascimento, P. Alencar and D. Cowan, "Understanding Levels of Automation in Human-Machine Collaboration," 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 3952-3958, doi: 10.1109/BigData55660.2022.10020371.
G. Melo, P. Alencar and D. Cowan, "A Cognitive and Machine Learning-Based Software Development Paradigm Supported by Context," 2021 IEEE/ACM 43rd International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER), Madrid, ES, 2021, pp. 11-15, doi: 10.1109/ICSE-NIER52604.2021.00011.
G. Melo, E. Law, P. Alencar and D. Cowan, "Understanding User Understanding: What do Developers Expect from a Cognitive Assistant?," 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 2020, pp. 3165-3172, doi: 10.1109/BigData50022.2020.9378140.
G. Melo, P. Alencar and D. Cowan, "Context-Augmented Software Development in Traditional and Big Data Projects: Literature Review and Preliminary Framework," 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 2019, pp. 3449-3457, doi: 10.1109/BigData47090.2019.9006245.
G. Melo, L. Oliveira, D. Schneider and J. de Souza, "Towards an observatory for mobile participatory sensing applications," 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD), Wellington, New Zealand, 2017, pp. 305-312, doi: 10.1109/CSCWD.2017.8066712.

Teaching Philosophy

My teaching philosophy centers around creating an inclusive, dynamic, student-centered environment that promotes active learning and curiosity. Drawing from over 15 years of industry experience and a solid academic foundation, I aim to bridge the gap between theory and practice, enabling students to connect foundational knowledge with real-world applications. I believe in the power of collaboration, co-creation, and building trust within the classroom, ensuring students feel empowered to explore their interests in software engineering and STEM fields. Through experiential learning and the integration of innovative teaching methods, I strive to equip students with technical and critical thinking skills that support their career aspirations. Moreover, I value student feedback and continuously get training and adapt my teaching to enhance clarity and engagement. Future technology developers must be prepared to contribute to our evolving society responsibly.

Courses Taught

Course Code Course Name
CPS 510 Database Systems I