Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. - Nastaran Darabi; Priyesh Shukla; Dinithi Jayasuriya; Divake Kumar; Alex C. Stutts; Amit Ranjan Trivedi (DATE, 2024)

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)

Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach. - Nastaran Darabi; Dinithi Jayasuriya; Devashri Naik; Theja Tulabandhula; Amit Ranjan Trivedi (CoRR, 2024)

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)

Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision. - Dinithi Jayasuriya; Nastaran Darabi; Maeesha Binte Hashem; Amit Ranjan Trivedi (ISCAS, 2025)

TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. - Maeesha Binte Hashem; Benjamin Parpillon; Divake Kumar; Dinithi Jayasuriya; Amit Ranjan Trivedi (VLSID, 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)

MOSAIC: Collaborative Compute-in-Memory µArrays for Flexible and Scalable Deep Learning. - Amit Ranjan Trivedi; Shamma Nasrin; Priyesh Shukla; Nastaran Darabi; Divake Kumar; Dinithi Jayasuriya; Nethmi Jayasinghe (VTS, 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)

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)