My research focuses on two main areas; Group Assignment and Group Recommendation.
My current focus is on one of my most favorite things in the world; Videogames!
Gamers are increasingly turning to online competitive games where they can experience a whole different level of excitement. These games often consist of groups of players competing against each other or the environment.
So here's the problem: How can we assign players to groups so that we can ensure the match is fair and everyone enjoys the competition? Well, there has been an increasing amount of research on this topic and there are even several sophisticated systems used by games taking care of this task. BUT, the majority of the assignments I experience in different games I play are just not good enough! So this motivates me to make things better. I see this problem as a human-to-human recommendation (something similar to what dating apps do but in a whole different context!). Such a problem can be extended to group recommendation where a player is recommended to a group of players based on various features. Pretty exciting, isn't it?! Well if you are a gamer, stay tuned that the best is yet to come!
I am planning to extend this framework to other areas where tasks are done in groups, such as organizational projects, class projects, or book clubs.
My PhD advisor is Dr. Jonathan Gemmell who has been extremely inspiring to me. The delightful experience of working with him is one of the main reasons I love my PhD. He is THE best advisor for my research especially because he himself is a gamer! In our meetings, after we are done discussing research, we usually keep talking about different videogames!
I've published several papers some of which can be accessed by the following links:
"Behavioral Player Rating in Competitive Online Shooter Games", International Conference on Scientific Computing (CSC'22), 2022.
"Player Modeling using Behavioral Signals in Competitive Online Games", International Conference on Computational Science and Computational Intelligence (CSCI'21), 2021.
"Evaluating Team Skill Aggregation in Online Competitive Games", IEEE Conference on Games, 2021
"How does the User's Knowledge of the Recommender Influence their Behavior?", IntRS@RecSys'21 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2021.
"The Evaluation of Rating Systems in Team-based Battle Royale Games", International Conference on Artificial Intelligence (ICAI'21), 2021.
"The Evaluation of Rating Systems in Online Free-for-All Games", International Conference on Data Science (ICDATA'20), 2020.
"Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems", International Flairs Conference, 2020.
"Does the User Have A Theory of the Recommender? A Pilot Study", IntRS@RecSys'19 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2019.