Dr Sham Puthiya Parambath
- Research Associate (School of Computing Science)
I, Shameem Ahamed Puthiya Parambath (Sham), am a member of the Knowledge & Data Engineering Systems (KDES) under the research group Information, Data and Analysis (IDA) in the School of Computing Science, University of Glasgow, working with Dr Christos Anagnostopoulos and Prof. Roderick Murray-Smith
Before joining the University of Glasgow, I worked as a Postdoctoral Researcher at Qatar Computing Research Institute, Doha, Qatar. I completed PhD in Machine Learning from the University of Technology Compiegne (Sorbonne University Association). During that period, I was fortunate to be supervised by Dr Nicolas Usunier and Dr Yves Grandvalet. During my Masters at Umea University, I had the fortune of working with Dr Sihem Amer-Yahia. I completed my BTech in Computer Science & Engineering from the University of Kerala. I also worked as a software engineer in firms like Directi and Narus Networks before pursuing my master's degree.
My current work looks at improving sequential algorithms for tasks like dynamic pricing, query recommendation etc.
At QCRI, I worked in Recommender Systems, Knowledge Graphs and Anomaly Detection. My work on group recommendation and the cold-start recommendation was published in AAAI and ECML conferences. My work on quantifying bias in the knowledge graphs was published in UAI. During my PhD thesis, I worked on multi-objective learning algorithms for multi-class/multi-label classification and personalized recommendations, which was published at venues such as NeurIPS and RecSys.
- Sequential Learning
- Learning with feedback
- Mutli-Armed Bandits
- Recommender Systems
Google Scholar: [link]
Reviewer for AISTATS 2023, 2022; AAAI 2021, 2020, 2019; SDM 2020