A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing. - Sina Tayebati; Kyu Taek Cho (CoRR, 2023)

STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy. - Nastaran Darabi; Sina Tayebati; Sureshkumar S.; Sathya Ravi; Theja Tulabandhula; Amit Ranjan Trivedi (CoRR, 2023)

STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy. - Nastaran Darabi; Sina Tayebati; Sureshkumar Senthilkumar; Dinithi Jayasuriya; Sathya Ravi; Theja Tulabandhula; Amit Ranjan Trivedi (IJCNN, 2024)

Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing. - Sina Tayebati; Theja Tulabandhula; Amit Ranjan Trivedi (CoRR, 2024)

Uncertainty-Aware LiDAR-Camera Autonomy via Conformal Prediction and Principled Abstention. - Divake Kumar; Sina Tayebati; Nastaran Darabi; Vita Pi-Ho Hu; Amit Ranjan Trivedi (COINS, 2025)

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. - Amit Ranjan Trivedi; Sina Tayebati; Hemant Kumawat; Nastaran Darabi; Divake Kumar; Adarsh Kumar Kosta; Yeshwanth Venkatesha; Dinithi Jayasuriya; Nethmi Jayasinghe; Priyadarshini Panda; Saibal Mukhopadhyay; Kaushik Roy 001 (DATE, 2025)

Generative Sensing: Pre-training LiDAR with Masked Autoencoders for Ultra-Frugal Perception. - Sina Tayebati; Theja Tulabandhula; Amit Ranjan Trivedi (ICASSP, 2025)

From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery. - Devashri Naik; Nastaran Darabi; Sina Tayebati; Dinithi Jayasuriya; Shamma Nasrin; Danush Shekar; Corrinne Mills; Benjamin Parpillon; Farah Fahim; Mark S. Neubauer; Amit Ranjan Trivedi (VTS, 2025)

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy. - Nastaran Darabi; Divake Kumar; Sina Tayebati; Amit Ranjan Trivedi (CoRR, 2025)

SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs. - Dinithi Jayasuriya; Sina Tayebati; Davide Ettori; Ranganath Krishnan; Amit Ranjan Trivedi (CoRR, 2025)

Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models. - Sina Tayebati; Divake Kumar; Nastaran Darabi; Dinithi Jayasuriya; Ranganath Krishnan; Amit Ranjan Trivedi (CoRR, 2025)

Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception. - Divake Kumar; Nastaran Darabi; Sina Tayebati; Amit Ranjan Trivedi (CoRR, 2025)

EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models. - Nastaran Darabi; Devashri Naik; Sina Tayebati; Dinithi Jayasuriya; Ranganath Krishnan; Amit Ranjan Trivedi (CoRR, 2025)