MSc and Under Graduate Student Projects

Projects involve developing novel techniques and systems that leverage advances in crowdsourcing, AI (e.g., pre-trained language models and re-enforcement learning) and conversational services in improving processes in different domains.

Project topics, at MSc, third Year and Fourth Year Level, include :

• Natural Language Processing for Process Discovery from Textual Sources (e.g., discovery of security testing recipes from security vulnerability reports, discovery of dialog flowcharts from how-to knowledge articles)

•  Vision Models and language models for Process Discovery from multi-modal sources (e.g., extracting process models from images, generating UI component skeletons from UI mock-ups, generating test cases from UI sketches and features/stories)

•  Scaling and partially automating systematic literature review process (e.g., improving paper screening, collaborative and human-the-loop machine cognitive services for research data curation and coding, datasets curation and development, and software prototypes to implement and validate the above techniques)

•  Scaling and partially automating research artifacts review process (e.g., generating comments on writing, completeness of related work, experimental methods, suggesting benchmarks and datasets)

•  Integrating storytelling techniques, AI enabled, generative conversational services into computational thinking learning platforms

•  Scaling and partially automating research funding processes (e.g., Q&A for rules and compliance, suggesting collaborators, curation and creation of onboarding and knowledge articles)

•  Scaling and partially automating education, learning and teaching processes (e.g., curation and guidance on industry and research internships, generating interactive and conversational onboarding and technical guides)

• Integrating storytelling techniques, AI enabled, generative conversational services for creating and composing slides 

• Integrating storytelling techniques, AI enabled, generative conversational services for creating and composing processes (e.g., RPA processes, data-driven pipelines, ML processes)

• Integrating storytelling techniques, AI enabled, generative conversational services for creating and composing processes (e.g., RPA processes, data-driven pipelines, ML processes)

• AI enabled, generative and  conversational services to empower elderly, people with with reduced cognitive abilities and visually impaired to effectively access services and perform tasks (e.g., Web/app enabled tasks) through voice enabled conversational services. 

• Other topics can be discussed as well