AGI papers

Dynamic and Evolving Neural Network for event discrimination [Full PrePrint, Video, Short Conference Paper]

Dynamic and Evolving Neural Network (DENN)

Hierarchical Temporal DNN and Associative Knowledge Representation [Full PrePrint, Video, Short Conference Paper]

Associative Knowledge Representation Model (AKREM)

Purposeful and Operation-based Cognitive System for AGI [Long PrePrint, Short PrePrint, Quick Video (1minute), Short Video (7minutes), Detailed Video (32minutes)]

Publications in my studies

Masters Degree

The research is mainly based on “Systems and Control” (017003) Course, specifically on the ideas of Interpolating Control (IC) and Model Predictive Control (MPC).

Robust Traffic Signal Control for Uncertain Road Networks (M.Sc Thesis) [Abstract] [Full pdf]
Robust Interpolating Traffic Signal Control for Uncertain Road Networks [ECC19 Abstract] [GSC19 Abstract] [Full pdf]

PhD Degree

The research is mainly based on “Planning and Reinforcement Learning” (046203) Course, specifically on the ideas of Q-learning, Deep-Q-Learning (DQN). Included implementation of graph neural networks (GNNs), both in supervised learning and in reinforcement learning approaches. Also fine-tuning GPT language model with GNNs on synthetic dataset.

Artificial Intelligence in Traffic Signal Control for Large-Scale Urban Networks (Ph.D. Thesis) [Abstract - In progress] (Disclosed due to paper review)
Spatio-temporal Graph Convolutional Neural Network for traffic signal control in large-scale urban networks (in progress) [Presented in TRB 2022 Conference]
Preference commands in traffic signal control via Double Deep Q-Network (in progress)
Converting textual instructions into preference commands for traffic signal control (in progress)

Reviewing Role

Also reviewed papers at ECAI2023 conference (see “Call to Arms” award), and at Transportation Research Record (TRR): here, here, and here.