[armanhku@gmail.com] [github]

Arman Haghighi K.

I am a computer science graduate from IAU Science and Research.

I am broadly interested in deep learning, reinforcement learning, and natural language processing, with the goal of contributing to two core dimensions of AI research: synthetically replicating human learning abilities and generalizing across vast amounts of recorded human data. I intend to focus on addressing challenges in both areas, ultimately working towards embodied AI that can navigate both virtual and physical worlds.

Publications:

Narges Mehran, Arman Haghighi, Pedram Aminharati, Nikolay Nikolov, Ahmet Soylu, Dumitru Roman, Radu Prodan, “Comparison of Microservice Call Rate Predictions for Replication in the Cloud,” In Proceedings of 16th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2023). [ACM]