Personal photo

Pedram Daee,

Doctoral Student,

Helsinki Institute for Information Technology HIIT

Probabilistic Machine Learning Group

pedram.daee at aalto dot fi

Linkedin, Researchgate, GitHub

Last update : September 2018


September 2018 Our new paper "Modelling User's Theory of AI's Mind in Interactive Intelligent Systems" is in arXiv now. [link]

June 2018 "Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge" is published in Bioinformatics. [link] [code]

December 2017 3 x "I would argue for accepting this paper" (4/5) for our paper "User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction". To appear in the 23rd ACM International Conference on Intelligent User Interfaces (IUI 2018). [preprint] [code]

June 2017 "Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction" is published in Machine Learning Journal. [pdf link] [code]

April 2017 I was advisor of Yi-Ping Liao in her thesis "Interactive Intent Modeling Based on Probabilistic Sparse Models". [link]

November 2016 Our paper "Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression" will be presented in FILM 2016, NIPS Workshop on Future of Interactive Learning Machines. [link]

November 2016 I give two “guest lectures” in the course ELEC-E8122 - Multivariate regression methods L on “Gaussian Mixture Models” and "Gaussian Processes Regression".

August 2016 We published a book "Bit Bang 8: Digitalization" as the outcome of the Bit Bang 8 course in Aalto University.

March 2016 Our paper titled "Interactive Intent Modeling from Multiple Feedback Domains" is published in the 21st ACM International Conference on Intelligent User Interfaces (IUI 2016) [link] [poster] [slides] [reviews] [pre-print].

September 2015 I am the co-coordinator of the MindSee project for the partner Aalto University (PI Samuel Kaski).

September 2014 I joined HIIT under the supervision of Prof. Samuel Kaski and Prof. Teemu Roos.

July 2014 Reward Maximization Justifies the Transition from Sensory Selection at Childhood to Sensory Integration at Adulthood is published in PLoS One journal (2014).

July 2014 I defended my M.Sc. thesis titled "A Developmental Method for Multimodal Sensory Integration" at University of Tehran (grade: 20/20). [pdf] [abstract in English]. (Advisors: Majid Nili Ahmadabadi, Maryam S. Mirian) (Examining Committee: Saeed Bagheri Shouraki, Reshad Hosseini).

May 2014 Our paper titled A Sampling Algorithm for Reducing the Number of Collision Checking in Probabilistic Roadmaps received the best paper award in the Control field of ICEE 2014.

May 2012 I joined the Cognitive Robotics Laboratory at University of Tehran under the supervision of Prof. Majid Nili Ahmadabadi.

Research interests:

  • Probabilistic modelling, interactive machine learning, User modeling
  • Sequential decision making, experimental design, multi-armed bandit
  • Cognitive science, reinforcement learning