M. J. U. Rehman

for predicting the life of lithium ion batteries based on a localized UKF filter

S. Dass, V. Asirvadam, M. J. U. Rehman, 2018 .

Parameter estimation for nonlinear disease dynamical system using particle filter

Ahmed R. Adly, S. Dass, V. Asirvadam, 2015, 2015 International Conference on Computer, Control, Informatics and its Applications (IC3INA).

Power Spectrum of Brain for Complex Task using Electroencephalogram

R. Zafar, M. J. U. Rehman, Hammad Dilpazir, 2022, Vol 4 Issue 2.

A Method to Reduce Route Discovery Cost of UAV Ad Hoc Network

N. Subhani, M. J. U. Rehman, Hammad Dilpazir, 2023, International Journal of Distributed Sensor Networks.

A weighted likelihood criteria for learning importance densities in particle filtering

Vijanth S. Asirvadam, Muhammad Javvad ur Rehman, Sarat Chandra Dass, 2018, EURASIP J. Adv. Signal Process..

An augmented sequential MCMC procedure for particle based learning in dynamical systems

Vijanth S. Asirvadam, Sarat C. Dass, Muhammad Javvad ur Rehman, 2019, Signal Process..

Nonlinear dynamical system identification using unscented Kalman filter

S. Dass, V. Asirvadam, M. J. U. Rehman, 2016 .

Prediction of Human Brain Activity Using Likelihood Ratio Based Score Fusion

Aamir Saeed Malik, Nidal Kamel, Raheel Zafar, 2017, IEEE Access.

Random Graph-Based M-QAM Classification for MIMO Systems

S. Ghauri, M. J. U. Rehman, A. Mahmood, 2022, Wireless Communications and Mobile Computing.