About Me
I am a Postdoctoral Research Associate at Clemson University (School of Computing, TigerSec Lab) since Jan. 2024, working with Prof. Mert D. Pesé on security and robustness of autonomous-vehicle perception, including adversarial sensing and robust 3D point-cloud perception.
Previously, I was a Visiting Researcher at Carnegie Mellon University (CyLab) in 2023 (supervised by Prof. Raj Rajkumar), and an Assistant Professor of Computer Science at Sirjan University of Technology (2018–2022), where I also served as Department Chair.
Research Interests
- Autonomous Perception Security: adversarial sensing/attacks, robust AV perception pipelines, evaluation & defense
- 3D Computer Vision (Point Clouds): classification/segmentation, registration, 3D detection & tracking, geometric deep learning
- Trustworthy ML: adversarial robustness, data-efficient training, uncertainty estimation for perception systems
Teaching
Instructor of Record — Clemson University
- CPSC 8580 — Security in Emerging Computing and Networking Systems (Spring 2025)
- CPSC 4200 — Computer Security Principles (Spring 2026)
Prior teaching — Sirjan University of Technology (Assistant Professor, 2018–2022)
- Graduate: Machine Learning, Deep Learning, Pattern Recognition, Image Processing, Advanced AI
- Undergraduate: Advanced Programming, Algorithms, AI, ML, Internet Engineering, Software Engineering
News
- [Spring 2026] Instructor of Record: CPSC 4200 – Computer Security Principles (Clemson University).
- [2026] Papers accepted (to appear) at IEEE IV 2026 and ICRA 2026 on VLM/robustness and 3D point-cloud perception.
- [2025] Best Paper Award (SAE/WCX 2025) for “Avoiding the Crash: A Vision-Language Model Evaluation of Critical Traffic Scenarios”.
- [Jan–Dec 2025] Key Personnel on U.S. DOT UTC (TraCR): Resilient Autonomous Vehicle Perception Under Adversarial Settings (Total: $276,314).
Publications
Selected
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ICRA
SLNet: A Super-Lightweight Geometry-Adaptive Network for 3D Point Cloud Recognition
Mohammad Saeid, Amir Salarpour, Pedram MohajerAnsari, Mert D. Pesé
2026 IEEE International Conference on Robotics and Automation (ICRA), Accepted; to appear (June 2026).
Accepted
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Mohammad Saeid, Amir Salarpour, Pedram MohajerAnsari, Mert D. Pesé
2026 IEEE Intelligent Vehicles Symposium (IV), Accepted; to appear (June 2026). arXiv:2602.00542
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Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving Architectures
David Fernandez, Pedram MohajerAnsari, Amir Salarpour, Long Cheng, Abolfazl Razi, Mert D. Pesé
2026 IEEE Intelligent Vehicles Symposium (IV), Accepted; to appear (June 2026).
Accepted
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Pedram MohajerAnsari, Amir Salarpour, Michael Kühr, Siyu Huang, Mohammad Hamad, Sebastian Steinhorst, Bing Li, Mert D. Pesé
2026 IEEE Intelligent Vehicles Symposium (IV), Accepted; to appear (June 2026). arXiv:2506.11472
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Trustworthy AI for CPS Security
Amir Salarpour, Alkim Domeke, Pedram MohajerAnsari, David Fernandez, Cigdem Kokenoz, Mert D. Pesé
Book chapter (Springer), Accepted; to appear, 2026.
Accepted book chapter
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WIP: From Detection to Explanation: Using LLMs for Adversarial Scenario Analysis in Vehicles
David Fernandez, Pedram MohajerAnsari, Cigdem Kokenoz, Amir Salarpour, Bing Li, Mert D. Pesé
3rd USENIX Symposium on Vehicle Security and Privacy (VehicleSec 25), 2025.
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Attention-Aware Temporal Adversarial Shadows on Traffic Sign Sequences
Pedram MohajerAnsari, Amir Salarpour, David Fernandez, Cigdem Kokenoz, Bing Li, Mert D. Pesé
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
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David Fernandez, Pedram MohajerAnsari, Amir Salarpour, Mert D. Pesé
SAE Technical Paper 2025-01-8213, 2025. Best Paper Award (SAE/WCX 2025).
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Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional Encoding
Marzieh Mohammadi, Amir Salarpour, Pedram MohajerAnsari
29th International Computer Conference, Computer Society of Iran (CSICC), 2025.
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Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification
Marzieh Mohammadi, Amir Salarpour
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
More publications
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Comprehensive Strategy for Classification of Voltage Sags Source Location Using Optimal Feature Selection Applied to Support Vector Machine and Ensemble Techniques
Younes Mohammadi, Amir Salarpour, Roberto Chouhy Leborgne
International Journal of Electrical Power & Energy Systems, 2021.
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Point-PlaneNet: Plane Kernel Based Convolutional Neural Network for Point Clouds Analysis
S. M. Moein Peyghambarzadeh, Fatemeh Azizmalayeri, Hassan Khotanlou, Amir Salarpour
Digital Signal Processing, 2020.
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Line-Segment Based Trajectory Similarity Measure Using Time Warping Technique
Amir Salarpour, Hassan Khotanlou, others
Tabriz Journal of Electrical Engineering, 2019.
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Direction-Based Similarity Measure to Trajectory Clustering
Amir Salarpour, Hassan Khotanlou
IET Signal Processing, 2019.
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Kernel Correlation Based CNN for Point Cloud Classification Task
Fatemeh Azizmalayeri, S. M. Moein Peyghambarzadeh, Hassan Khotanlou, Amir Salarpour
8th International Conference on Computer and Knowledge Engineering (ICCKE), 2018.
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An Empirical Comparison of Distance Measures for Multivariate Time Series Clustering
Amir Salarpour, Hassan Khotanlou
International Journal of Engineering, 2018.
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A Multiresolution Approach to Trajectory Description
Amir Salarpour, Hassan Khotanlou, Mohammad Amin Mahboubi, Saleh Daghigh
3rd International Conference on Pattern Recognition and Image Analysis (IPRIA), 2017.
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Optimizing Parameters Contributing to Riveting Quality Using Imperialist Competitive Algorithm and Predicting Objective Function via Three Models MLR, RBF, and ANN-GA
Abbas Fadaei, Allahyar Gorbanpour, Amir Salarpour
International Journal of Advanced Design & Manufacturing Technology, 2016.
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Artificial Neural Networks and Advanced Fuzzy Techniques for Predicting Noise Level in the Industrial Embroidery Workrooms
Mohsen Aliabadi, Rostam Golmohammadi, Hassan Khotanlou, Muharram Mansoorizadeh, Amir Salarpour
Applied Artificial Intelligence, 2015.
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Modelling Broilers’ Abdominal Fat in Response to Dietary Treatments
Amir Salarpour, Enayat Rahmatnejad, Hassan Khotanlou
Journal of Animal Physiology and Animal Nutrition, 2015.
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Development of a Noise Prediction Model Based on Advanced Fuzzy Approaches in Typical Industrial Workrooms
Mohsen Aliabadi, Rostam Golmohammadi, Hassan Khotanlou, Muharram Mansoorizadeh, Amir Salarpour
Journal of Research in Health Sciences, 2014.
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Using Soft Computing to Predict Broilers' Performance in Response to Herbal Additives
Ali Asghar Saki, Amir Salarpour, Enayat Rahmatnejad
European Poultry Science, 2014.
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Long-Term Estimation of Human Spatial Interactions Through Multiple Laser Ranging Sensors
Amir Salarpour, Hassan Khotanlou, Nikolaos Mavridis
International Conference on Robotics and Emerging Allied Technologies in Engineering (iCREATE), 2014.
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Sentiment Analysis and Visualization of Social Media Data: The #BostonMarathon #Bombings Test Case
Amir Salarpour, Mohammad Hossein Bamneshin, Dimitris Proios
Online article, 2013.
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Vehicle Tracking Using Kalman Filter and Features
Amir Salarpour, Arezoo Salarpour, Mahmoud Fathi, Mir Hossein Dezfoulian
Signal & Image Processing: An International Journal, 2011.
Services
Program Committees & Conference Reviewing
- ICRA (2026)
- IEEE Intelligent Vehicles Symposium (IV) (2025, 2026)
- USENIX VehicleSec (2025, 2026)
- AAAI (2025)
- BMVC (2025)
- ACM CCS (2024)
- IEEE/RSJ IROS (2023)
Journal Peer Review
- Verified reviews (Web of Science): 117
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Selected journals:
IEEE TIFS; IEEE TIP;
IEEE TCSVT; IEEE TMM;
IEEE T-ASE; IEEE TVT;
IEEE SPL; IEEE Intelligent Systems;
IEEE CG&A; IEEE T-CE;
Digital Threats: Research and Practice;
IET Image Processing;
CAAI Transactions on Intelligence Technology;
Science China Technological Sciences;
Journal of Ambient Intelligence and Humanized Computing;
Sensors; IEEE Access
Leadership & Event Service
- Department Chair, Computer Science, Sirjan University of Technology (Mar. 2020 – Dec. 2022)
- Director, International Academic Cooperation, Sirjan University of Technology (Jun. 2021 – Apr. 2022)
- Academic Chair, National Conference of Ideas and Innovation in Business and Information Technology (NCIBIT) (2019, 2021, 2022)
Professional Memberships
- IEEE (Graduate Student Member)
- IEEE Young Professionals
- ACM (Professional Member)
Email: asalarp@clemson.edu
Google Scholar: https://scholar.google.com/citations?user=PPyF4hEAAAAJ&hl=en
GitHub: https://github.com/asalarpour
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