Brain-inspired self-organizing modular structure to control human-like movements based on primitive motion identification. - Hamed Haghighi; Farzaneh Abdollahi; Shahriar Gharibzadeh (Neurocomputing, 2016)

Contrastive Learning-Based Framework for Sim-to-Real Mapping of Lidar Point Clouds in Autonomous Driving Systems. - Hamed Haghighi; Mehrdad Dianati; Kurt Debattista; Valentina Donzella (CoRR, 2023)

Exploiting Big Data for Experiment Reporting: The Hi-Drive Collaborative Research Project Case. - Alessio Capello; Matteo Fresta; Francesco Bellotti; Hamed Haghighi; Johannes Hiller; Sajjad Mozaffari; Riccardo Berta (Sensors, 2023)

Accelerating Stereo Image Simulation for Automotive Applications Using Neural Stereo Super Resolution. - Hamed Haghighi; Mehrdad Dianati; Valentina Donzella; Kurt Debattista (IEEE Trans. Intell. Transp. Syst., 2023)

Review of the Learning-based Camera and Lidar Simulation Methods for Autonomous Driving Systems. - Hamed Haghighi; Xiaomeng Wang; Hao Jing; Mehrdad Dianati (CoRR, 2024)

Taming Transformers for Realistic Lidar Point Cloud Generation. - Hamed Haghighi; Amir Samadi; Mehrdad Dianati; Valentina Donzella; Kurt Debattista (CoRR, 2024)

Beyond Conventional Monitoring: A Semantic Segmentation Approach to Quantifying Traffic-Induced Dust on Unsealed Roads. - Asanka de Silva; Rajitha Ranasinghe; Arooran Sounthararajah; Hamed Haghighi; Jayantha Kodikara 001 (Sensors, 2024)

Data-Driven Position and Stiffness Control of Antagonistic Variable Stiffness Actuator Using Nonlinear Hammerstein Models. - Ali Javadi; Hamed Haghighi; Khemwutta Pornpipatsakul; Ronnapee Chaichaowarat (J. Sens. Actuator Networks, 2024)

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining. - Abu Mohammed Raisuddin; Jesper Holmblad; Hamed Haghighi; Yuri Poledna; Maikol Funk Drechsler; Valentina Donzella; Eren Erdal Aksoy (CoRR, 2025)