I am a Computer Science Ph.D. candidate at University of Maryland, Baltimore County where I am very fortunate to be advised by Cynthia Matuszek and work closely with Frank Ferraro and Edward Raff. Before that, I obtained my B.Sc. in Computer Science from Shahid Beheshti University. My research interests are artificial intelligence, multimodal machine learning and the intersection of computer vision and natural language processing. I'm currently working on grounded language learning.
Ph.D., Computer Science at University of Maryland, Baltimore County
B.Sc., Computer Science at Shahid Beheshti University
My current research is on multimodal machine learning which is the idea of learning a shared representation of a concept from different types of data such as RGB image, depth image, or any other sensory inputs.
More specifically, in my research, I connect natural language to perceptual data (anything in the world that can be sensed or measured). The ultimate goal of my research is to develop AI agents (and robots) that humans can interact with in an intuitive way. My hypothesis is that natural language is the most natural form of communication.
To learn the connection between natural language and perceptual data, I utilize different learning methods such as deep learning, probabilistic graphical models, contrastive learning, cross-entropy, and self-supervised learning.
Neural Information Processing Systems (NeurIPS): Reviewer
Intelligent Robots and Systems (IROS): Reviewer
Vice President of Iranian Graduate Student Association (IGSA) at University of Maryland, Baltimore County
2018-PresentBoard member of Iranian Graduate Student Association (IGSA) at University of Maryland, Baltimore County
Executive Director of "Pardazeh" which is the Scientific Journal of Computer Science Association, Shahid Beheshti University
IOI Office member at the 29th International Olympiad in Informatics, Tehran, Iran
Teaching Assistant for Algorithms
University of Maryland, Baltimore County
Teaching Assistant for Computational Geometry
Shahid Beheshti University
Teaching Assistant for Compiler Theory
Shahid Beheshti University
Teaching Assistant for Automata Theory
Shahid Beheshti University
In terms of soft skills, I am a friendly human being, and I believe that collaboration is the only way to have impactful contributions. I am happy to take the lead in a project, but I am also perfectly fine being a contributing member
My experience as a PhD student taught me that the most important factor in problem-solving is not intelligence, but rather persistence. Moreover, I learned the value of understanding when to stop and when to continue. I don't believe in the stereotype that if you work hard enough you can achieve whatever you want; In my opinion, one has to be wise to know when to stop and look differently.
I successfully defended my Ph.D. proposal and became a Ph.D. candidate.
I'm attending ICML in Baltimore, MD. Let's meet up if you are attending.
I received Morgan Stanley scholarship as a Data Science researcher ($5,000)