Maryam Raiyat Aliabadi
Postdoctoral Teaching and Research Fellow, University of British Columbia
I am a Teaching Faculty and Postdoctoral Fellow in the Faculty of Computer Science at the University of British Columbia, Vancouver, Canada. My academic journey has been enriched by diverse experiences across the globe. Guided by a passion for innovation and security, my academic pursuits led me to delve into the world of Internet of Things security. This culminated in my noteworthy PhD thesis, meticulously crafted at both UBC's and SBU's esteemed Computer Science departments. With over 10 years of international industrial experience as an R&D engineer and IT project manager, and 3 years of teaching experience in international universities such as New York Tech – Vancouver, Canada, I bring a wealth of practical and academic knowledge. My research interests revolve around the domains of Computer Systems Security, Edge Computing, and Cloud Computing, particularly exploring the intriguing facets of Data Center Security. Beyond academia, my commitment to the digital world's safety is manifested through my role as the trailblazer behind Cyber Security Education for children through Gamification. The culmination of this vision is KIDS SHIELD, a pioneering initiative in CanadA.
Harshinee Sriram
Graduate Student Researcher, Applied Scientist Intern, The UBC Cloud Innovation Centre (CIC)
Harshinee Sriram is a Ph.D. candidate in Computer Science at the University of British Columbia, specializing in multimodal learning, self-supervised learning, signal processing, and explainable AI, with a focus on neurodegenerative diseases. Her research aims to advance the early diagnosis and progression modeling of conditions such as Alzheimer’s and Parkinson’s disease using deep learning and multimodal data sources.
She has been recognized with multiple prestigious awards, including the UBC Advanced Machine Learning Training Network (AML-TN) Funded Fellowship, the 2024 BPOC Graduate Excellence Award, and the President’s Academic Excellence Initiative PhD Award (2021-2024). Her work has been published in leading conferences such as ML4H, IJCAI, ICMI, and UMAP, where she has also presented research on Alzheimer’s disease classification using deep learning on eye-tracking data and the role of personalized AI explanations in intelligent tutoring systems.
Harshinee has extensive experience in applied AI research through her role at the UBC-AWS Cloud Innovation Centre, where she has developed classical and generative AI solutions, retrieval-augmented generation pipelines, and machine learning-based analytics tools to address community-facing challenges.