Solving Boolean Satisfiability with Stochastic Nanomagnets. - Maeesha Binte Hashem; Nastaran Darabi; Supriyo Bandyopadhyay; Amit Ranjan Trivedi (ICECS 2022, 2022)

ENOS: Energy-Aware Network Operator Search in Deep Neural Networks. - Shamma Nasrin; Ahish Shylendra; Nastaran Darabi; Theja Tulabandhula; Wilfred Gomes; Ankush Chakrabarty; Amit Ranjan Trivedi (IEEE Access, 2022)

Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. - Shamma Nasrin; Maeesha Binte Hashem; Nastaran Darabi; Benjamin Parpillon; Farah Fahim; Wilfred Gomes; Amit Ranjan Trivedi (AICAS, 2023)

Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems. - Nastaran Darabi; Maeesha Binte Hashem; Supriyo Bandyopadhyay; Amit Ranjan Trivedi (ISQED, 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)

Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks. - Nastaran Darabi; Amit Ranjan Trivedi (CoRR, 2023)

MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence. - Priyesh Shukla; Shamma Nasrin; Nastaran Darabi; Wilfred Gomes; Amit Ranjan Trivedi (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

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)

Conformalized Multimodal Uncertainty Regression and Reasoning. - Domenico Parente; Nastaran Darabi; Alex C. Stutts; Theja Tulabandhula; Amit Ranjan Trivedi (ICASSP, 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)

ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation. - Nastaran Darabi; Maeesha Binte Hashem; Hongyi Pan; Ahmet Enis Çetin; Wilfred Gomes; Amit Ranjan Trivedi (IEEE Trans. Very Large Scale Integr. Syst., 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)

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

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)

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)