Invited: Conformal Inference meets Evidential Learning: Distribution-Free Uncertainty Quantification with Epistemic and Aleatoric Separability. - Alex Christopher Stutts; Divake Kumar; Theja Tulabandhula; Amit Ranjan Trivedi (DAC, 2024)

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)

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)

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)

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)

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)

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)