| 2026 | AAAI | EigenShield: Inference-Time, Model-Agnostic Jailbreaking Defense via Causal Subspace Filtering. | Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi |
| 2026 | AAAI | Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection. | Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Amit Ranjan Trivedi |
| 2026 | DATE | CaDRO: Causal-Guided Dimensionality Reduction for Scalable Multi-Objective Pareto Optimization. | Dinithi Jayasuriya, Divake Kumar, Sureshkumar Senthilkumar, Devashri Naik, Nastaran Darabi, Amit Ranjan Trivedi |
| 2025 | DATE | 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 |
| 2025 | ICASSP | Generative Sensing: Pre-training LiDAR with Masked Autoencoders for Ultra-Frugal Perception. | Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2025 | ICCAD | Hercules: Hardware accElerator foR stoChastic schedULing in hEterogeneous Systems. | Vairavan Palaniappan, Adam H. Ross, Amit Ranjan Trivedi, Debjit Pal |
| 2025 | ICRA | Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through Curriculum Training. | Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2025 | IJCNN | SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs. | Dinithi Jayasuriya, Sina Tayebati, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi |
| 2025 | ISCAS | Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision. | Dinithi Jayasuriya, Nastaran Darabi, Maeesha Binte Hashem, Amit Ranjan Trivedi |
| 2025 | ICRA | Uncertainty-Aware Deep Reinforcement Learning with Calibrated Quantile Regression and Evidential Learning. | Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Mohit Mittal, Amit Ranjan Trivedi |
| 2025 | ISLPED | Tutorial: Autonomy with Neuromorphic System. | Amit Ranjan Trivedi, Priyadarshini Panda, Kaushik Roy, Saibal Mukhopadhyay |
| 2025 | VLSID | TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. | Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi |
| 2025 | VTS | 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 |
| 2025 | VTS | MOSAIC: Collaborative Compute-in-Memory Arrays for Flexible and Scalable Deep Learning. | Amit Ranjan Trivedi, Shamma Nasrin, Priyesh Shukla, Nastaran Darabi, Divake Kumar, Dinithi Jayasuriya, Nethmi Jayasinghe |
| 2024 | DAC | 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 |
| 2024 | DATE | 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 |
| 2024 | ICASSP | Conformalized Multimodal Uncertainty Regression and Reasoning. | Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2024 | IJCNN | 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 |
| 2024 | ICRA | Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge. | Alex C. Stutts, Danilo Erricolo, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2024 | VLSID | Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. | Davide Giacomini, Maeesha Binte Hashem, Jeremiah Suarez, Amit Ranjan Trivedi |
| 2023 | ICASSP | Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. | Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2023 | IJCNN | Energy Efficient Memory-based Inference of LSTM by Exploiting FPGA Overlay. | Krishnendu Guha, Amit Ranjan Trivedi, Swarup Bhunia |
| 2023 | IROS | Lightweight, Uncertainty-Aware Conformalized Visual Odometry. | Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2023 | ISCAS | Readout IC with 40 MSPS in-pixel ADC for future vertex detector upgrades of Large Hadron Collider. | Benjamin Parpillon, Amit Ranjan Trivedi, Farah Fahim |
| 2023 | VLSID | Unifying Intrinsically-Operated Physically Unclonable Function and Random Number Generation in Analog Circuits: A Case Study on Successive Approximation ADC. | Ahish Shylendra, Swarup Bhunia, Amit Ranjan Trivedi |
| 2022 | ISCAS | Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars. | Ahish Shylendra, Priyesh Shukla, Amit Ranjan Trivedi |
| 2021 | DATE | Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability. | Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi |
| 2020 | ISCAS | Supported-BinaryNet: Bitcell Array-Based Weight Supports for Dynamic Accuracy-Energy Trade-Offs in SRAM-Based Binarized Neural Network. | Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2020 | ISCAS | MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. | Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2020 | VLSID | Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS. | Ahish Shylendra, Sina Haji Alizad, Priyesh Shukla, Amit Ranjan Trivedi |
| 2019 | VLSID | Self-Organizing Maps-Based Flexible and High-Speed Packet Classification in Software Defined Networking. | Shih-Chang Hung, Nick Iliev, Balajee Vamanan, Amit Ranjan Trivedi |
| 2019 | VLSID | Neuromorphic Circuits on FDSOI Technology for Computer Vision Applications. | Dinesh Rajasekharan, Amit Ranjan Trivedi, Yogesh Singh Chauhan |
| 2018 | DAC | Ultralow power acoustic feature-scoring using gaussian I-V transistors. | Amit Ranjan Trivedi, Ahish Shylendra |
| 2018 | ISLPED | Intrinsic and Database-free Watermarking in ICs by Exploiting Process and Design Dependent Variability in Metal-Oxide-Metal Capacitances. | Ahish Shylendra, Swarup Bhunia, Amit Ranjan Trivedi |
| 2017 | ICCD | Low Power Spatial Localization of Mobile Sensors with Recurrent Neural Network. | Nick Iliev, Amit Ranjan Trivedi |
| 2016 | IJCNN | Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification. | Susmita Dey Manasi, Amit Ranjan Trivedi |
| 2015 | ICCAD | Optimization of FinFET-based circuits using a dual gate pitch technique. | Sravan K. Marella, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Sachin S. Sapatnekar |
| 2014 | DATE | Ultra-low power electronics with Si/Ge tunnel FET. | Amit Ranjan Trivedi, Mohammad Faisal Amir, Saibal Mukhopadhyay |
| 2013 | DAC | Exploring tunnel-FET for ultra low power analog applications: a case study on operational transconductance amplifier. | Amit Ranjan Trivedi, Sergio Carlo, Saibal Mukhopadhyay |
| 2012 | VTS | Self-adaptive power gating with test circuit for on-line characterization of energy inflection activity. | Amit Ranjan Trivedi, Saibal Mukhopadhyay |
| 2012 | VTS | On the parametric failures of SRAM in a 3D-die stack considering tier-to-tier supply cross-talk. | Wen Yueh, Subho Chatterjee, Amit Ranjan Trivedi, Saibal Mukhopadhyay |
| 2010 | VLSID | RF SOI Switch FET Design and Modeling Tradeoffs for GSM Applications. | Shyam Parthasarathy, Amit Ranjan Trivedi, Saurabh Sirohi, Robert A. Groves, Michael Olsen, Yogesh Singh Chauhan, Michael Carroll, Dan Kerr, Ali Tombak, Phil Mason |