6 papers
Binary Road Surface Classification Using Machine Learning on Production Vehicle Signals During Cruising
Vishal Hariharan, Salar Basiri, Kanwar Bharat Singh
Knowledge of real-time road slipperiness, or even better, a refined estimate of peak grip potential, is a critical input for vehicle warning and intervention control systems. Typic…
Autonomy-Aware Clustering: When Local Decisions Supersede Global Prescriptions
Amber Srivastava, Salar Basiri, Srinivasa Salapaka
Clustering arises in a wide range of problem formulations, yet most existing approaches assume that the entities under clustering are passive and strictly conform to their assigned…
Parametrized Multi-Agent Routing via Deep Attention Models
Salar Basiri, Dhananjay Tiwari, Srinivasa M. Salapaka
We propose a scalable deep learning framework for parametrized sequential decision-making (ParaSDM), where multiple agents jointly optimize discrete action policies and shared cont…
Towards Enabling Learning for Time-Varying finite horizon Sequential Decision-Making Problems*
Dhananjay Tiwari, Salar Basiri, Srinivasa Salapaka
Parameterized Sequential Decision Making (Para-SDM) framework models a wide array of network design applications spanning supply-chain, transportation, and sensor networks. These p…
One-shot Generative Distribution Matching for Augmented RF-based UAV Identification
Amir Kazemi, Salar Basiri, Volodymyr Kindratenko +1
This work addresses the challenge of identifying Unmanned Aerial Vehicles (UAV) using radiofrequency (RF) fingerprinting in limited RF environments. The complexity and variability…
Orthogonal Nonnegative Matrix Factorization with Sparsity Constraints
Salar Basiri, Alisina Bayati, Srinivasa Salapaka
This article presents a novel approach to solving the sparsity-constrained Orthogonal Nonnegative Matrix Factorization (SCONMF) problem, which requires decomposing a non-negative d…