Amit Ranjan Trivedi

110 papers A* 8A 9B 4C 6Misc 14Journal 57Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cerebellar-Inspired Residual Control for Fault Recovery: From Inference-Time Adaptation to Structural Consolidation. CoRR Nethmi Jayasinghe, Diana Gontero, Spencer T. Brown, Vinod K. Sangwan, Mark C. Hersam, Amit Ranjan Trivedi
2026	A*	`conf`	EigenShield: Inference-Time, Model-Agnostic Jailbreaking Defense via Causal Subspace Filtering. AAAI Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi
2026	J	`jnl`	Residual Control for Fast Recovery from Dynamics Shifts. CoRR Nethmi Jayasinghe, Diana Gontero, Francesco Migliarba, Spencer T. Brown, Vinod K. Sangwan, Mark C. Hersam, Amit Ranjan Trivedi
2026	A*	`conf`	Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection. AAAI Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Amit Ranjan Trivedi
2026	J	`jnl`	TRACER: Trajectory Risk Aggregation for Critical Episodes in Agentic Reasoning. CoRR Sina Tayebati, Divake Kumar, Nastaran Darabi, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi
2026	J	`jnl`	TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception - Don't Treat All Uncertainty the Same. CoRR Divake Kumar, Sina Tayebati, Devashri Naik, Patrick Poggi, Amanda Sofie Rios, Nilesh Ahuja, Amit Ranjan Trivedi
2026	J	`jnl`	Uncertainty-Guided Inference-Time Depth Adaptation for Transformer-Based Visual Tracking. CoRR Patrick Poggi, Divake Kumar, Theja Tulabandhula, Amit Ranjan Trivedi
2025	J	`jnl`	Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception. CoRR Divake Kumar, Nastaran Darabi, Sina Tayebati, Amit Ranjan Trivedi
2025	J	`jnl`	Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation. CoRR Divake Kumar, Patrick Poggi, Sina Tayebati, Devashri Naik, Nilesh Ahuja, Amit Ranjan Trivedi
2025	J	`jnl`	Causal-Guided Dimension Reduction for Efficient Pareto Optimization. CoRR Dinithi Jayasuriya, Divake Kumar, Sureshkumar Senthilkumar, Devashri Naik, Nastaran Darabi, Amit Ranjan Trivedi
2025	J	`jnl`	EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models. CoRR Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi
2025	J	`jnl`	EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs. CoRR Davide Ettori, Nastaran Darabi, Sina Tayebati, Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo, Amit Ranjan Trivedi
2025	A*	`conf`	Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through Curriculum Training. ICRA Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, Amit Ranjan Trivedi
2025	Misc	`conf`	From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery. VTS 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	Misc	`conf`	Generative Sensing: Pre-training LiDAR with Masked Autoencoders for Ultra-Frugal Perception. ICASSP Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi
2025	J	`jnl`	HERCULES: Hardware accElerator foR stoChastic schedULing in hEterogeneous Systems. CoRR Vairavan Palaniappan, Adam H. Ross, Amit Ranjan Trivedi, Debjit Pal
2025	A	`conf`	Hercules: Hardware accElerator foR stoChastic schedULing in hEterogeneous Systems. ICCAD Vairavan Palaniappan, Adam H. Ross, Amit Ranjan Trivedi, Debjit Pal
2025	J	`jnl`	INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy. CoRR Nastaran Darabi, Divake Kumar, Sina Tayebati, Amit Ranjan Trivedi
2025	A	`conf`	Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. DATE 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	J	`jnl`	Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. CoRR 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	J	`jnl`	Learnable Conformal Prediction with Context-Aware Nonconformity Functions for Robotic Planning and Perception. CoRR Divake Kumar, Sina Tayebati, Francesco Migliarba, Ranganath Krishnan, Amit Ranjan Trivedi
2025	J	`jnl`	Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models. CoRR Sina Tayebati, Divake Kumar, Nastaran Darabi, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi
2025	Misc	`conf`	MOSAIC: Collaborative Compute-in-Memory µArrays for Flexible and Scalable Deep Learning. VTS Amit Ranjan Trivedi, Shamma Nasrin, Priyesh Shukla, Nastaran Darabi, Divake Kumar, Dinithi Jayasuriya, Nethmi Jayasinghe
2025	C	`conf`	Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision. ISCAS Dinithi Jayasuriya, Nastaran Darabi, Maeesha Binte Hashem, Amit Ranjan Trivedi
2025	J	`jnl`	RMT-KD: Random Matrix Theoretic Causal Knowledge Distillation. CoRR Davide Ettori, Nastaran Darabi, Sureshkumar Senthilkumar, Amit Ranjan Trivedi
2025	B	`conf`	SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs. IJCNN Dinithi Jayasuriya, Sina Tayebati, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi
2025	J	`jnl`	SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs. CoRR Dinithi Jayasuriya, Sina Tayebati, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi
2025	Misc	`conf`	TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. VLSID Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi
2025	A	`conf`	Tutorial: Autonomy with Neuromorphic System. ISLPED Amit Ranjan Trivedi, Priyadarshini Panda, Kaushik Roy, Saibal Mukhopadhyay
2025	A*	`conf`	Uncertainty-Aware Deep Reinforcement Learning with Calibrated Quantile Regression and Evidential Learning. ICRA Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Mohit Mittal, Amit Ranjan Trivedi
2025	—	`conf`	Uncertainty-Aware LiDAR-Camera Autonomy via Conformal Prediction and Principled Abstention. COINS Divake Kumar, Sina Tayebati, Nastaran Darabi, Vita Pi-Ho Hu, Amit Ranjan Trivedi
2024	J	`jnl`	ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation. IEEE Trans. Very Large Scale Integr. Syst. Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
2024	Misc	`conf`	Conformalized Multimodal Uncertainty Regression and Reasoning. ICASSP Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi
2024	J	`jnl`	Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning. CoRR Alex Christopher Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi
2024	J	`jnl`	Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach. CoRR Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, Amit Ranjan Trivedi
2024	A*	`conf`	Invited: Conformal Inference meets Evidential Learning: Distribution-Free Uncertainty Quantification with Epistemic and Aleatoric Separability. DAC Alex Christopher Stutts, Divake Kumar, Theja Tulabandhula, Amit Ranjan Trivedi
2024	A*	`conf`	Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge. ICRA Alex C. Stutts, Danilo Erricolo, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2024	A	`conf`	Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. DATE Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi
2024	J	`jnl`	Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. CoRR Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi
2024	J	`jnl`	Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision. CoRR Dinithi Jayasuriya, Nastaran Darabi, Maeesha Binte Hashem, Amit Ranjan Trivedi
2024	B	`conf`	STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy. IJCNN Nastaran Darabi, Sina Tayebati, Sureshkumar Senthilkumar, Dinithi Jayasuriya, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2024	J	`jnl`	Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing. CoRR Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi
2024	J	`jnl`	TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. CoRR Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi
2024	Misc	`conf`	Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. VLSID Davide Giacomini, Maeesha Binte Hashem, Jeremiah Suarez, Amit Ranjan Trivedi
2023	J	`jnl`	ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation. CoRR Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
2023	J	`jnl`	Conformalized Multimodal Uncertainty Regression and Reasoning. CoRR Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi
2023	J	`jnl`	Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks. CoRR Nastaran Darabi, Amit Ranjan Trivedi
2023	B	`conf`	Energy Efficient Memory-based Inference of LSTM by Exploiting FPGA Overlay. IJCNN Krishnendu Guha, Amit Ranjan Trivedi, Swarup Bhunia
2023	—	`conf`	Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems. ISQED Nastaran Darabi, Maeesha Binte Hashem, Supriyo Bandyopadhyay, Amit Ranjan Trivedi
2023	A	`conf`	Lightweight, Uncertainty-Aware Conformalized Visual Odometry. IROS Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi
2023	J	`jnl`	Lightweight, Uncertainty-Aware Conformalized Visual Odometry. CoRR Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi
2023	J	`jnl`	MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi
2023	—	`conf`	Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. AICAS Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi
2023	J	`jnl`	Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. CoRR Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi
2023	J	`jnl`	Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge. CoRR Alex C. Stutts, Danilo Erricolo, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2023	C	`conf`	Readout IC with 40 MSPS in-pixel ADC for future vertex detector upgrades of Large Hadron Collider. ISCAS Benjamin Parpillon, Amit Ranjan Trivedi, Farah Fahim
2023	J	`jnl`	Roadmap for Unconventional Computing with Nanotechnology. CoRR Giovanni Finocchio, Supriyo Bandyopadhyay, Peng Lin, Gang Pan, J. Joshua Yang, Riccardo Tomasello, Christos Panagopoulos, Mario Carpentieri, Vito Puliafito, Johan Åkerman, Hiroki Takesue, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Kaushik Roy, Vinod K. Sangwan, Mark C. Hersam, Anna Giordano, Huynsoo Yang, Julie Grollier, Kerem Yunus Çamsari, Peter L. McMahon, Supriyo Datta, Jean Anne C. Incorvia, Joseph S. Friedman, Sorin Cotofana, Florin Ciubotaru, Andrii V. Chumak, Azad J. Naeemi, Brajesh Kumar Kaushik, Yao Zhu, Wang Kang, Belita Koiller, Gabriel Aguilar, Guilherme P. Temporão, Kremena Makasheva, Aida Todri-Sanial, Jennifer Hasler, William Levy, Vwani Roychowdhury, Samiran Ganguly, Avik W. Ghosh, Davi Rodriquez, Satoshi Sunada, Karin Everschor-Sitte, Amit Lal, Shubham Jadhav, Massimiliano Di Ventra, Yuriy V. Pershin, Kosuke Tatsumura, Hayato Goto
2023	Misc	`conf`	Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. ICASSP Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2023	J	`jnl`	STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy. CoRR Nastaran Darabi, Sina Tayebati, Sureshkumar S., Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2023	J	`jnl`	Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. CoRR Davide Giacomini, Maeesha Binte Hashem, Jeremiah Suarez, Swarup Bhunia, Amit Ranjan Trivedi
2023	Misc	`conf`	Unifying Intrinsically-Operated Physically Unclonable Function and Random Number Generation in Analog Circuits: A Case Study on Successive Approximation ADC. VLSID Ahish Shylendra, Swarup Bhunia, Amit Ranjan Trivedi
2022	—	`conf`	Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics. AICAS Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi
2022	J	`jnl`	ENOS: Energy-Aware Network Operator Search in Deep Neural Networks. IEEE Access Shamma Nasrin, Ahish Shylendra, Nastaran Darabi, Theja Tulabandhula, Wilfred Gomes, Ankush Chakrabarty, Amit Ranjan Trivedi
2022	J	`jnl`	Ferroelectric FET-Based Implementation of FitzHugh-Nagumo Neuron Model. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Dinesh Rajasekharan, Amol D. Gaidhane, Amit Ranjan Trivedi, Yogesh Singh Chauhan
2022	C	`conf`	Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars. ISCAS Ahish Shylendra, Priyesh Shukla, Amit Ranjan Trivedi
2022	J	`jnl`	RIHANN: Remote IoT Hardware Authentication With Intrinsic Identifiers. IEEE Internet Things J. Shubhra Deb Paul, Fengchao Zhang, Patanjali SLPSK, Amit Ranjan Trivedi, Swarup Bhunia
2022	J	`jnl`	Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. CoRR Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2022	—	`conf`	Solving Boolean Satisfiability with Stochastic Nanomagnets. ICECS 2022 Maeesha Binte Hashem, Nastaran Darabi, Supriyo Bandyopadhyay, Amit Ranjan Trivedi
2022	J	`jnl`	Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory. IEEE Trans. Very Large Scale Integr. Syst. Priyesh Shukla, Ankith Muralidhar, Nick Iliev, Theja Tulabandhula, Sawyer B. Fuller, Amit Ranjan Trivedi
2021	A	`conf`	Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability. DATE Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi
2021	J	`jnl`	ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators. CoRR Shamma Nasrin, Ahish Shylendra, Yuti Kadakia, Nick Iliev, Wilfred Gomes, Theja Tulabandhula, Amit Ranjan Trivedi
2021	J	`jnl`	MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence. CoRR Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi
2021	J	`jnl`	MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference Using Memory-Immersed Data Conversion and Multiplication-Free Operators. IEEE Trans. Circuits Syst. I Regul. Pap. Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
2021	J	`jnl`	MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference using Memory-immersed Data Conversion and Multiplication-free Operators. CoRR Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
2021	J	`jnl`	On Database-Free Authentication of Microelectronic Components. IEEE Trans. Very Large Scale Integr. Syst. Fengchao Zhang, Shubhra Deb Paul, Patanjali SLPSK, Amit Ranjan Trivedi, Swarup Bhunia
2020	J	`jnl`	Energy-Efficient Acceleration of Deep Neural Networks on Realtime-Constrained Embedded Edge Devices. IEEE Access Bogil Kim, Sungjae Lee, Amit Ranjan Trivedi, William J. Song
2020	—	`conf`	Fault Attack Detection in AES by Monitoring Power Side-Channel Statistics. ISQED Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi
2020	J	`jnl`	Low Latency CMOS Hardware Acceleration for Fully Connected Layers in Deep Neural Networks. CoRR Nick Iliev, Amit Ranjan Trivedi
2020	J	`jnl`	Low Power Speaker Identification by Integrated Clustering and Gaussian Mixture Model Scoring. IEEE Embed. Syst. Lett. Nick Iliev, Alberto Gianelli, Amit Ranjan Trivedi
2020	J	`jnl`	Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics. CoRR Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi
2020	J	`jnl`	Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics. IEEE Trans. Very Large Scale Integr. Syst. Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi
2020	J	`jnl`	MC CoRR Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi
2020	C	`conf`	MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. ISCAS Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi
2020	Misc	`conf`	Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS. VLSID Ahish Shylendra, Sina Haji Alizad, Priyesh Shukla, Amit Ranjan Trivedi
2020	C	`conf`	Supported-BinaryNet: Bitcell Array-Based Weight Supports for Dynamic Accuracy-Energy Trade-Offs in SRAM-Based Binarized Neural Network. ISCAS Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi
2019	J	`jnl`	An Intrinsic and Database-Free Authentication by Exploiting Process Variation in Back-End Capacitors. IEEE Trans. Very Large Scale Integr. Syst. Ahish Shylendra, Swarup Bhunia, Amit Ranjan Trivedi
2019	—	`conf`	Low Power Speaker Identification using Look Up-free Gaussian Mixture Model in CMOS. COOL CHIPS Alberto Gianelli, Nick Iliev, Shamma Nasrin, Mariagrazia Graziano, Amit Ranjan Trivedi
2019	Misc	`conf`	Neuromorphic Circuits on FDSOI Technology for Computer Vision Applications. VLSID Dinesh Rajasekharan, Amit Ranjan Trivedi, Yogesh Singh Chauhan
2019	Misc	`conf`	Self-Organizing Maps-Based Flexible and High-Speed Packet Classification in Software Defined Networking. VLSID Shih-Chang Hung, Nick Iliev, Balajee Vamanan, Amit Ranjan Trivedi
2019	J	`jnl`	Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network. CoRR Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi
2019	—	`conf`	Towards Co-designing Neural Network Function Approximators with In-SRAM Computing. EMC2@NeurIPS Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
2018	A	`conf`	Intrinsic and Database-free Watermarking in ICs by Exploiting Process and Design Dependent Variability in Metal-Oxide-Metal Capacitances. ISLPED Ahish Shylendra, Swarup Bhunia, Amit Ranjan Trivedi
2018	A*	`conf`	Ultralow power acoustic feature-scoring using gaussian I-V transistors. DAC Amit Ranjan Trivedi, Ahish Shylendra
2017	—	`conf`	A solitary protection measure against scan chain, fault injection, and power analysis attacks on AES. MWSCAS Tonmoy Dhar, Swarup Bhunia, Amit Ranjan Trivedi
2017	—	`conf`	Energy-efficient neural image processing for Internet-of-Things edge devices. MWSCAS Jong Hwan Ko, Yun Long, Mohammad Faisal Amir, Duckhwan Kim, Jaeha Kung, Taesik Na, Amit Ranjan Trivedi, Saibal Mukhopadhyay
2017	C	`conf`	Low Power Spatial Localization of Mobile Sensors with Recurrent Neural Network. ICCD Nick Iliev, Amit Ranjan Trivedi
2016	—	`conf`	A Comparative Study of Si/Ge and GaSb/InAs Tunnel FET-Based Cellular Neural Network. ISVLSI Amit Ranjan Trivedi, Susmita Dey Manasi
2016	J	`jnl`	Exploration of Si/Ge Tunnel FET Bit Cells for Ultra-low Power Embedded Memory. IEEE J. Emerg. Sel. Topics Circuits Syst. Mohammad Faisal Amir, Amit Ranjan Trivedi, Saibal Mukhopadhyay
2016	B	`conf`	Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification. IJCNN Susmita Dey Manasi, Amit Ranjan Trivedi
2016	J	`jnl`	Impact of Heterogeneous Technology Integration on the Power, Performance, and Quality of a 3D Image Sensor. IEEE Trans. Multi Scale Comput. Syst. Denny Lie, Amit Ranjan Trivedi, Saibal Mukhopadhyay
2016	J	`jnl`	Straintronic magneto-tunneling-junction based ternary content addressable memory. CoRR Susmita Dey Manasi, Md Mamun Al Rashid, Jayasimha Atulasimha, Supriyo Bandyopadhyay, Amit Ranjan Trivedi
2015	A	`conf`	Optimization of FinFET-based circuits using a dual gate pitch technique. ICCAD Sravan K. Marella, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Sachin S. Sapatnekar
2014	J	`jnl`	In Situ Power Gating Efficiency Learner for Fine-Grained Self-Adaptive Power Gating. IEEE Trans. Circuits Syst. II Express Briefs Amit Ranjan Trivedi, Wen Yueh, Saibal Mukhopadhyay
2014	A	`conf`	Ultra-low power electronics with Si/Ge tunnel FET. DATE Amit Ranjan Trivedi, Mohammad Faisal Amir, Saibal Mukhopadhyay
2013	—	`conf`	Design and Implementation of a Smart Wheelchair. AIR Amit Ranjan Trivedi, Abhash Kumar Singh, Sundara Tejaswi Digumarti, Deepak Fulwani, Swagat Kumar
2013	A*	`conf`	Exploring tunnel-FET for ultra low power analog applications: a case study on operational transconductance amplifier. DAC Amit Ranjan Trivedi, Sergio Carlo, Saibal Mukhopadhyay
2012	Misc	`conf`	On the parametric failures of SRAM in a 3D-die stack considering tier-to-tier supply cross-talk. VTS Wen Yueh, Subho Chatterjee, Amit Ranjan Trivedi, Saibal Mukhopadhyay
2012	Misc	`conf`	Self-adaptive power gating with test circuit for on-line characterization of energy inflection activity. VTS Amit Ranjan Trivedi, Saibal Mukhopadhyay
2010	Misc	`conf`	RF SOI Switch FET Design and Modeling Tradeoffs for GSM Applications. VLSI Design Shyam Parthasarathy, Amit Ranjan Trivedi, Saurabh Sirohi, Robert A. Groves, Michael Olsen, Yogesh Singh Chauhan, Michael Carroll, Dan Kerr, Ali Tombak, Phil Mason
2007	J	`jnl`	Switching voltage, dynamic power dissipation and on-to-off conductance ratio of a spin field effect transistor. IET Circuits Devices Syst. Amit Ranjan Trivedi, Supriyo Bandyopadhyay, Marc Cahay