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ORCIDNasser L. Azad
Nasser Lashgarian Azad
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Journal Articles
- 2023
[j40]Mahsa Golchoubian
, Moojan Ghafurian, Kerstin Dautenhahn, Nasser Lashgarian Azad:
Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review. IEEE Trans. Intell. Transp. Syst. 24(11): 11544-11567 (2023)- [j39]Sina Alighanbari, Nasser L. Azad:
Deep Reinforcement Learning With NMPC Assistance Nash Switching for Urban Autonomous Driving. IEEE Trans. Intell. Veh. 8(3): 2604-2615 (2023) - 2022
- [j38]Abbas S. Milani, Hamid Khayyam, Hormoz Marzbani, William Melek, Nasser L. Azad, Reza N. Jazar:
Smart Autodriver Algorithm for Real-Time Autonomous Vehicle Trajectory Control. IEEE Trans. Intell. Transp. Syst. 23(3): 1984-1995 (2022) - [j37]Yuan Lin, John McPhee, Nasser L. Azad:
Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle Power Split Using Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 71(7): 6958-6968 (2022) - 2021
- [j36]Sina Alighanbari, Nasser L. Azad:
Safe Adaptive Deep Reinforcement Learning for Autonomous Driving in Urban Environments. Additional Filter? How and Where? IEEE Access 9: 141347-141359 (2021) - [j35]Yuan Lin, John McPhee, Nasser L. Azad:
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control. IEEE Trans. Intell. Veh. 6(2): 221-231 (2021) - 2020
- [j34]Sadegh Tajeddin, Sanaz Ekhtiari, Mohammad Reza Faieghi, Nasser L. Azad:
Ecological Adaptive Cruise Control With Optimal Lane Selection in Connected Vehicle Environments. IEEE Trans. Intell. Transp. Syst. 21(11): 4538-4549 (2020) - 2019
- [j33]Mohammad Hossein Basiri, Mohammad Pirani, Nasser L. Azad, Sebastian Fischmeister:
Security of Vehicle Platooning: A Game-Theoretic Approach. IEEE Access 7: 185565-185579 (2019) - [j32]Sanaz Ekhtiari, Mohammad Reza Faieghi, Nasser Lashgarian Azad:
Sensitivity Analysis of a Real-Time Trip Planning Assisted Energy Management System for Connected Plug-In Hybrid Electric Vehicles. IEEE Trans. Veh. Technol. 68(8): 7340-7352 (2019) - 2018
- [j31]Bijan Sakhdari, Nasser L. Azad:
A Distributed Reference Governor Approach to Ecological Cooperative Adaptive Cruise Control. IEEE Trans. Intell. Transp. Syst. 19(5): 1496-1507 (2018) - [j30]Bijan Sakhdari, Nasser L. Azad:
Adaptive Tube-Based Nonlinear MPC for Economic Autonomous Cruise Control of Plug-In Hybrid Electric Vehicles. IEEE Trans. Veh. Technol. 67(12): 11390-11401 (2018) - 2017
- [j29]Ahmad Mozaffari, Katharine Andrea Scott, Nasser L. Azad, Shoja'eddin Chenouri:
A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness. Appl. Intell. 46(1): 16-33 (2017) - [j28]Ahmad Mozaffari, Nasser L. Azad:
Empirical investigation and analysis of the computational potentials of bio-inspired nonlinear model predictive controllers: success and challenges. Int. J. Bio Inspired Comput. 9(1): 19-34 (2017) - [j27]Ahmad Mozaffari, Mahdi Emami, Nasser L. Azad, Alireza Fathi:
Comparisons of several variants of continuous quantum-inspired evolutionary algorithms. J. Exp. Theor. Artif. Intell. 29(4): 869-909 (2017) - [j26]Nasser L. Azad, Ahmad Mozaffari, Alireza Fathi:
An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions. Int. J. Mach. Learn. Cybern. 8(3): 955-979 (2017) - [j25]Ahmad Mozaffari, Katharine Andrea Scott, Shoja'eddin Chenouri, Nasser L. Azad:
A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness. Soft Comput. 21(16): 4635-4659 (2017) - [j24]Parisa Golchoubian, Nasser L. Azad:
Real-Time Nonlinear Model Predictive Control of a Battery-Supercapacitor Hybrid Energy Storage System in Electric Vehicles. IEEE Trans. Veh. Technol. 66(11): 9678-9688 (2017) - 2016
- [j23]Ahmad Mozaffari, Nasser L. Azad:
Self-controlled bio-inspired extreme learning machines for scalable regression and classification: a comprehensive analysis with some recommendations. Artif. Intell. Rev. 46(2): 167-223 (2016) - [j22]Ahmad Mozaffari, Nasser L. Azad, J. Karl Hedrick, Amir Taghavipour:
A hybrid switching predictive controller with proportional integral derivative gains and GMDH neural representation of automotive engines for coldstart emission reductions. Eng. Appl. Artif. Intell. 48: 72-94 (2016) - [j21]Ahmad Mozaffari, Nasser L. Azad:
Cellular implementation of the great salmon run algorithm for designing a black-box identifier applied to engine coldstart modelling. Int. J. Comput. Appl. Technol. 54(1): 23-41 (2016) - [j20]Mahdi Emami, Ahmad Mozaffari, Nasser L. Azad, Behrooz Rezaie:
An empirical investigation into the effects of chaos on different types of evolutionary crossover operators for efficient global search in complicated landscapes. Int. J. Comput. Math. 93(1): 3-26 (2016) - [j19]Nasser L. Azad, Ahmad Mozaffari, J. Karl Hedrick:
A hybrid switching predictive controller based on bi-level kernel-based ELM and online trajectory builder for automotive coldstart emissions reduction. Neurocomputing 173: 1124-1141 (2016) - [j18]Ahmad Mozaffari, Nasser L. Azad, Mahdi Emami, Alireza Fathi:
Mixed continuous/binary quantum-inspired learning system with non-negative least square optimisation for automated design of regularised ensemble extreme learning machines. J. Exp. Theor. Artif. Intell. 28(3): 581-606 (2016) - [j17]Mahyar Vajedi, Nasser L. Azad:
Ecological Adaptive Cruise Controller for Plug-In Hybrid Electric Vehicles Using Nonlinear Model Predictive Control. IEEE Trans. Intell. Transp. Syst. 17(1): 113-122 (2016) - [j16]Ahmad Mozaffari, Nasser L. Azad, J. Karl Hedrick:
A Nonlinear Model Predictive Controller With Multiagent Online Optimizer for Automotive Cold-Start Hydrocarbon Emission Reduction. IEEE Trans. Veh. Technol. 65(6): 4548-4563 (2016) - 2015
- [j15]Ahmad Mozaffari, Nasser L. Azad:
An ensemble neuro-fuzzy radial basis network with self-adaptive swarm based supervisor and negative correlation for modeling automotive engine coldstart hydrocarbon emissions: A soft solution to a crucial automotive problem. Appl. Soft Comput. 32: 449-467 (2015) - [j14]Ahmad Mozaffari, Mehdi Emami, Nasser L. Azad, Alireza Fathi:
A Modified SSLPS Algorithm with Logistic Pseudo-Random Sequence Generator for Improving the Performance of Neka Power Plant: A Comparative/Conceptual Analysis. Int. J. Appl. Evol. Comput. 6(1): 1-29 (2015) - [j13]Ahmad Mozaffari, Nasser L. Azad:
A Soft Sensor Based on the Integration of Tikhonov Extreme Learning Machine and Accelerated Kernels for Real-Time Estimation of Automotive Catalyst Temperatures. Int. J. Comput. Intell. Appl. 14(4): 1550024:1-1550024:23 (2015) - [j12]Ahmad Mozaffari, Nasser L. Azad, Alireza Fathi:
Simultaneous knowledge-based identification and optimization of PHEV fuel economy using hyper-level Pareto-based chaotic Lamarckian immune algorithm, MSBA and fuzzy programming. Int. J. Intell. Comput. Cybern. 8(1): 2-27 (2015) - [j11]Ahmad Mozaffari, Nasser L. Azad, Alireza Fathi:
Auto-regressive multiple-valued logic neurons with sequential Chua's oscillator back-propagation learning for online prediction and synchronization of chaotic trajectories. Int. J. Intell. Comput. Cybern. 8(2): 102-138 (2015) - [j10]Ahmad Mozaffari, Mahyar Vajedi, Nasser L. Azad:
A robust safety-oriented autonomous cruise control scheme for electric vehicles based on model predictive control and online sequential extreme learning machine with a hyper-level fault tolerance-based supervisor. Neurocomputing 151: 845-856 (2015) - [j9]Ahmad Mozaffari, Nasser L. Azad:
Coupling Gaussian generalised regression neural network and mutable smart bee algorithm to analyse the characteristics of automotive engine coldstart hydrocarbon emission. J. Exp. Theor. Artif. Intell. 27(3): 253-272 (2015) - [j8]Ahmad Mozaffari, Mahdi Emami, Nasser L. Azad, Alireza Fathi:
On the efficacy of chaos-enhanced heuristic walks with nature-based controllers for robust and accurate intelligent search, part A: an experimental analysis. J. Exp. Theor. Artif. Intell. 27(4): 389-422 (2015) - [j7]Nasser L. Azad:
Online optimization of automotive engine coldstart hydrocarbon emissions control at idle conditions. J. Syst. Control. Eng. 229(9): 781-796 (2015) - 2014
- [j6]Ahmad Mozaffari, Maryyeh Chehresaz, Nasser L. Azad:
Component sizing of a plug-in hybrid electric vehicle powertrain, Part B: coupling bee-inspired metaheuristics to ensemble of local neuro-fuzzy radial basis identifiers. Int. J. Bio Inspired Comput. 6(5): 303-321 (2014) - [j5]Ahmad Mozaffari, Nasser Lashgarian Azad, Alireza Fathi:
Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems. Int. J. Intell. Comput. Cybern. 7(4): 346-381 (2014) - [j4]Ahmad Mozaffari, Nasser L. Azad:
Coupling a chaotically encoded firefly algorithm with ranking to a physics-based mathematical model for robust optimisation of a gas turbine energy system. Int. J. Math. Model. Numer. Optimisation 5(4): 295-317 (2014) - [j3]Ahmad Mozaffari, Mahyar Vajedi, Nasser L. Azad:
Implementation of a fast non-dominated sorting firefly algorithm and a vehicle simulation model for multi-objective component sizing of a power-split PHEV powertrain: a comparative numerical study. Int. J. Math. Model. Numer. Optimisation 5(4): 318-341 (2014) - [j2]Ahmad Mozaffari, Nasser L. Azad:
Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification. Neurocomputing 131: 143-156 (2014) - 2013
- [j1]Ahmad Mozaffari, Maryyeh Chehresaz, Nasser L. Azad:
Component sizing of a plug-in hybrid electric vehicle powertrain, Part A: coupling bio-inspired techniques to meshless variable-fidelity surrogate models. Int. J. Bio Inspired Comput. 5(6): 350-383 (2013)
Conference and Workshop Papers
- 2024
- [c30]Arash Farnam, Milad Farsi, Majid Ghorbani, Nasser Lashgarian Azad, Guillaume Crevecoeur:
Disturbance Propagation in Vehicle Platoons: Symmetric Bidirectional Interconnections. ACC 2024: 408-413 - [c29]Sajjad Kazemi, Nasser L. Azad, Katharine Andrea Scott, Haroon B. Oqab, George B. Dietrich:
Satellite Collision Avoidance Maneuver Planning in Low Earth Orbit Using Proximal Policy Optimization. CEC 2024: 1-9 - 2023
- [c28]Dayu Zhang, Nasser Lashgarian Azad, Sebastian Fischmeister, Stefan Marksteiner:
Zeroth-Order Optimization Attacks on Deep Reinforcement Learning-Based Lane Changing Algorithms for Autonomous Vehicles. ICINCO (1) 2023: 665-673 - [c27]Milad Farsi, Shuhao Bian, Nasser L. Azad, Xiaobing Shi, Andrew Walenstein:
An Efficient Resilient MPC Scheme via Constraint Tightening Against Cyberattacks: Application to Vehicle Cruise Control. ICINCO (1) 2023: 674-682 - [c26]Jiaiq Liu, Nasser L. Azad, Ting Qu:
An Optimization-based Coordination of Multi-lane Platoons of Connected and Automated Trucks for Reducing Travel Time. ITSC 2023: 235-242 - [c25]Mahsa Golchoubian, Moojan Ghafurian, Kerstin Dautenhahn, Nasser Lashgarian Azad:
Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks. ITSC 2023: 791-798 - 2022
- [c24]Jinggang Zhang, Xinxin Zhao, Nasser L. Azad:
LSTM-based adaptive energy management of connected hybrid mining trucks for improving fuel efficiency. ITSC 2022: 2848-2855 - [c23]Mahsa Golchoubian, Moojan Ghafurian, Nasser Lashgarian Azad, Kerstin Dautenhahn:
Characterizing Structured Versus Unstructured Environments Based on Pedestrians' and Vehicles' Motion Trajectories. ITSC 2022: 2888-2895 - 2021
- [c22]Mahsa Golchoubian, Moojan Ghafurian, Nasser Lashgarian Azad, Kerstin Dautenhahn:
What are Social Norms for Low-speed Autonomous Vehicle Navigation in Crowded Environments? An Online Survey. HAI 2021: 148-156 - 2020
- [c21]Sina Alighanbari, Nasser L. Azad:
Multi-Vehicle Coordination and Real-time Control of Connected and Automated Vehicles at Roundabouts. CAVS 2020: 1-6 - [c20]Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley:
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CDC 2020: 2849-2856 - [c19]Yuan Lin, John McPhee, Nasser L. Azad:
Anti-Jerk On-Ramp Merging Using Deep Reinforcement Learning. IV 2020: 7-14 - [c18]Mohammad Hossein Basiri, Nasser L. Azad, Sebastian Fischmeister:
Attack Resilient Heterogeneous Vehicle Platooning Using Secure Distributed Nonlinear Model Predictive Control. MED 2020: 307-312 - [c17]Mohammad Hossein Basiri, Nasser L. Azad, Sebastian Fischmeister:
Distributed Time-varying Kalman Filter Design and Estimation over Wireless Sensor Networks Using OWA Sensor Fusion Technique. MED 2020: 325-330 - 2019
- [c16]Yuan Lin, John McPhee, Nasser L. Azad:
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning. ITSC 2019: 1504-1510 - [c15]Sina Alighanbari, Nasser L. Azad:
Ecological NMPC Controller for Connected and Automated Plug-in Hybrid Electric Vehicles at Roundabouts. IV 2019: 1069-1074 - 2018
- [c14]Mohit Batra, Anson Maitland, John McPhee, Nasser L. Azad:
Non-Linear Model Predictive Anti-Jerk Cruise Control for Electric Vehicles with Slip-Based Constraints. ACC 2018: 3915-3920 - 2017
- [c13]Parisa Golchoubian, Nasser L. Azad, Kumaraswamy Ponnambalam:
Stochastic nonlinear model predictive control of battery-supercapacitor hybrid energy storage systems in electric vehicles. ACC 2017: 1648-1653 - [c12]Sadegh Tajeddin, Nasser L. Azad:
Ecological Cruise Control of a Plug-in Hybrid Electric Vehicle: A comparison of different GMRES-based Nonlinear Model Predictive Controls. ACC 2017: 3607-3612 - [c11]Yasaman Masoudi, Nasser L. Azad:
MPC-based battery thermal management controller for Plug-in hybrid electric vehicles. ACC 2017: 4365-4370 - [c10]Mohit Batra, John McPhee, Nasser L. Azad:
Anti-jerk model predictive cruise control for connected electric vehicles with changing road conditions. ASCC 2017: 49-54 - [c9]Bijan Sakhdari, Ebrahim Moradi Shahrivar, Nasser L. Azad:
Robust tube-based MPC for automotive adaptive cruise control design. ITSC 2017: 1-6 - 2016
- [c8]Ahmad Mozaffari, Alireza Doosthoseini, Bijan Sakhdari, Mahyar Vajedi, Nasser L. Azad:
Automotive coldstart emissions reduction using MIMO sliding mode control with actuator saturation. ACC 2016: 7219-7224 - [c7]Bijan Sakhdari, Mahyar Vajedi, Nasser L. Azad:
Ecological Adaptive Cruise Control of a plug-in hybrid electric vehicle for urban driving. ITSC 2016: 1739-1744 - 2015
- [c6]Amir Taghavipour, Nasser L. Azad, John McPhee:
Multi-parametric energy management system with reduced computational complexity for plug-in hybrid electric vehicles. ECC 2015: 3377-3382 - 2014
- [c5]Mahyar Vajedi, Amir Taghavipour, Nasser L. Azad, John McPhee:
A comparative analysis of route-based power management strategies for real-time application in plug-in hybrid electric vehicles. ACC 2014: 2612-2617 - 2012
- [c4]Reza Razavian, Nasser L. Azad, John McPhee:
On real-time optimal control of a series Hybrid Electric Vehicle with an ultra-capacitor. ACC 2012: 547-552 - [c3]Nasser L. Azad, Pannag R. Sanketi, J. Karl Hedrick:
Sliding mode control with bounded inputs and its application to automotive coldstart emissions reduction. ACC 2012: 2860-2865 - [c2]C. Beg, Mahyar Vajedi, Mohammad-Reza Nezhad-Ahmadi, Nasser L. Azad, Safieddin Safavi-Naeini:
A cost-effective radar system for automotive powertrain control applications. ITSC 2012: 84-89 - 2011
- [c1]Naser Mehrabi, Nasser L. Azad, John McPhee:
Optimal disturbance rejection control design for Electric Power Steering systems. CDC/ECC 2011: 6584-6589
Informal and Other Publications
- 2024
- [i10]Mahsa Golchoubian, Moojan Ghafurian, Kerstin Dautenhahn, Nasser Lashgarian Azad:
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space. CoRR abs/2405.13969 (2024) - 2023
- [i9]Mahsa Golchoubian, Moojan Ghafurian, Kerstin Dautenhahn, Nasser Lashgarian Azad:
Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review. CoRR abs/2308.06419 (2023) - [i8]Mahsa Golchoubian, Moojan Ghafurian, Kerstin Dautenhahn, Nasser Lashgarian Azad:
Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks. CoRR abs/2308.06654 (2023) - [i7]Milad Farsi, Shuhao Bian, Nasser L. Azad, Xiaobing Shi, Andrew Walenstein:
An Efficient Resilient MPC Scheme via Constraint Tightening against Cyberattacks: Application to Vehicle Cruise Control. CoRR abs/2310.08680 (2023) - 2022
- [i6]Yuan Lin, John McPhee, Nasser L. Azad:
Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle Power Split Using Deep Reinforcement Learning. CoRR abs/2203.03113 (2022) - 2020
- [i5]Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley:
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CoRR abs/2004.00417 (2020) - 2019
- [i4]Yuan Lin, John McPhee, Nasser L. Azad:
Longitudinal Dynamic versus Kinematic Models for Car-following Control Using Deep Reinforcement Learning. CoRR abs/1905.08314 (2019) - [i3]Yuan Lin, John McPhee, Nasser L. Azad:
Decision-Making and Control for Freeway On-Ramp Merging Using Deep Reinforcement Learning. CoRR abs/1909.12967 (2019) - [i2]Yuan Lin, John McPhee, Nasser L. Azad:
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control. CoRR abs/1910.12047 (2019) - 2018
- [i1]Bijan Sakhdari, Nasser L. Azad:
Adaptive Tube-based Nonlinear MPC for Ecological Autonomous Cruise Control of Plug-in Hybrid Electric Vehicles. CoRR abs/1803.05942 (2018)
Coauthor Index
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