4 citations · 11 across the 13 of their papers we have counts for
8 papers · 1 filter
Bayesian Uncertainty Quantification with Anchored Ensembles for Robust EV Power Consumption Prediction
Ghazal Farhani, Taufiq Rahman, Kieran Humphries
Accurate EV power estimation underpins range prediction and energy management, yet practitioners need both point accuracy and trustworthy uncertainty. We propose an anchored-ensemb…
Comprehensive Assessment of LiDAR Evaluation Metrics: A Comparative Study Using Simulated and Real Data
Syed Mostaquim Ali, Taufiq Rahman, Ghazal Farhani +3
For developing safe Autonomous Driving Systems (ADS), rigorous testing is required before they are deemed safe for road deployments. Since comprehensive conventional physical testi…
An uncertainty-aware physics-informed neural network solution for the Black-Scholes equation: a novel framework for option pricing
Sina Kazemian, Ghazal Farhani, Amirhessam Yazdi
We present an uncertainty-aware, physics-informed neural network (PINN) for option pricing that solves the Black--Scholes (BS) partial differential equation (PDE) as a mesh-free, g…
3D Roadway Scene Object Detection with LIDARs in Snowfall Conditions
Ghazal Farhani, Taufiq Rahman, Syed Mostaquim Ali +4
Because 3D structure of a roadway environment can be characterized directly by a Light Detection and Ranging (LiDAR) sensors, they can be used to obtain exceptional situational awa…
A Comparative Study of Oscillatory Perturbations in Car-Following Models
Oumaima Barhoumi, Ghazal Farhani, Taufiq Rahman +2
As connected and autonomous vehicles become more widespread, platooning has emerged as a key strategy to improve road capacity, reduce fuel consumption, and enhance traffic flow. H…
Weather-Dependent Variations in Driver Gaze Behavior: A Case Study in Rainy Conditions
Ghazal Farhani, Taufiq Rahman, Dominique Charlebois
Rainy weather significantly increases the risk of road accidents due to reduced visibility and vehicle traction. Understanding how experienced drivers adapt their visual perception…
Fuel Consumption in Platoons: A Literature Review
Oumaima Barhoumi, Ghazal Farhani, Taufiq Rahman +3
Platooning has emerged as a promising strategy for improving fuel efficiency in automated vehicle systems, with significant implications for reducing emissions and operational cost…
Deep Learning-Based Analysis of Power Consumption in Gasoline, Electric, and Hybrid Vehicles
Roksana Yahyaabadi, Ghazal Farhani, Taufiq Rahman +3
Accurate power consumption prediction is crucial for improving efficiency and reducing environmental impact, yet traditional methods relying on specialized instruments or rigid phy…