Switching voltage, dynamic power dissipation and on-to-off conductance ratio of a spin field effect transistor. - Amit Ranjan Trivedi; Supriyo Bandyopadhyay; Marc Cahay (IET Circuits Devices Syst., 2007)

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 (VLSI Design, 2010)

Self-adaptive power gating with test circuit for on-line characterization of energy inflection activity. - Amit Ranjan Trivedi; Saibal Mukhopadhyay (VTS, 2012)

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 (VTS, 2012)

Design and Implementation of a Smart Wheelchair. - Amit Ranjan Trivedi; Abhash Kumar Singh; Sundara Tejaswi Digumarti; Deepak Fulwani; Swagat Kumar (AIR, 2013)

Exploring tunnel-FET for ultra low power analog applications: a case study on operational transconductance amplifier. - Amit Ranjan Trivedi; Sergio Carlo; Saibal Mukhopadhyay (DAC, 2013)

Ultra-low power electronics with Si/Ge tunnel FET. - Amit Ranjan Trivedi; Mohammad Faisal Amir; Saibal Mukhopadhyay (DATE, 2014)

In Situ Power Gating Efficiency Learner for Fine-Grained Self-Adaptive Power Gating. - Amit Ranjan Trivedi; Wen Yueh; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. II Express Briefs, 2014)

Optimization of FinFET-based circuits using a dual gate pitch technique. - Sravan K. Marella; Amit Ranjan Trivedi; Saibal Mukhopadhyay; Sachin S. Sapatnekar (ICCAD, 2015)

Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification. - Susmita Dey Manasi; Amit Ranjan Trivedi (IJCNN, 2016)

A Comparative Study of Si/Ge and GaSb/InAs Tunnel FET-Based Cellular Neural Network. - Amit Ranjan Trivedi; Susmita Dey Manasi (ISVLSI, 2016)

Straintronic magneto-tunneling-junction based ternary content addressable memory. - Susmita Dey Manasi; Md Mamun Al Rashid; Jayasimha Atulasimha; Supriyo Bandyopadhyay; Amit Ranjan Trivedi (CoRR, 2016)

Exploration of Si/Ge Tunnel FET Bit Cells for Ultra-low Power Embedded Memory. - Mohammad Faisal Amir; Amit Ranjan Trivedi; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2016)

Impact of Heterogeneous Technology Integration on the Power, Performance, and Quality of a 3D Image Sensor. - Denny Lie; Amit Ranjan Trivedi; Saibal Mukhopadhyay (IEEE Trans. Multi Scale Comput. Syst., 2016)

Low Power Spatial Localization of Mobile Sensors with Recurrent Neural Network. - Nick Iliev; Amit Ranjan Trivedi (ICCD, 2017)

A solitary protection measure against scan chain, fault injection, and power analysis attacks on AES. - Tonmoy Dhar; Swarup Bhunia; Amit Ranjan Trivedi (MWSCAS, 2017)

Energy-efficient neural image processing for Internet-of-Things edge devices. - Jong Hwan Ko; Yun Long; Mohammad Faisal Amir; Duckhwan Kim 001; Jaeha Kung; Taesik Na; Amit Ranjan Trivedi; Saibal Mukhopadhyay (MWSCAS, 2017)

Ultralow power acoustic feature-scoring using gaussian I-V transistors. - Amit Ranjan Trivedi; Ahish Shylendra (DAC, 2018)

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 (ISLPED, 2018)

Low Power Speaker Identification using Look Up-free Gaussian Mixture Model in CMOS. - Alberto Gianelli; Nick Iliev; Shamma Nasrin; Mariagrazia Graziano; Amit Ranjan Trivedi (COOL CHIPS, 2019)

Towards Co-designing Neural Network Function Approximators with In-SRAM Computing. - Shamma Nasrin; Diaa Badawi; Ahmet Enis Çetin; Wilfred Gomes; Amit Ranjan Trivedi (EMC2@NeurIPS, 2019)

Self-Organizing Maps-Based Flexible and High-Speed Packet Classification in Software Defined Networking. - Shih-Chang Hung; Nick Iliev; Balajee Vamanan; Amit Ranjan Trivedi (VLSID, 2019)

Neuromorphic Circuits on FDSOI Technology for Computer Vision Applications. - Dinesh Rajasekharan; Amit Ranjan Trivedi; Yogesh Singh Chauhan (VLSID, 2019)

Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network. - Shamma Nasrin; Srikanth Ramakrishna; Theja Tulabandhula; Amit Ranjan Trivedi (CoRR, 2019)

An Intrinsic and Database-Free Authentication by Exploiting Process Variation in Back-End Capacitors. - Ahish Shylendra; Swarup Bhunia; Amit Ranjan Trivedi (IEEE Trans. Very Large Scale Integr. Syst., 2019)

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 (ISCAS, 2020)

MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. - Priyesh Shukla; Ahish Shylendra; Theja Tulabandhula; Amit Ranjan Trivedi (ISCAS, 2020)

Fault Attack Detection in AES by Monitoring Power Side-Channel Statistics. - Ahish Shylendra; Priyesh Shukla; Swarup Bhunia; Amit Ranjan Trivedi (ISQED, 2020)

Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS. - Ahish Shylendra; Sina Haji Alizad; Priyesh Shukla; Amit Ranjan Trivedi (VLSID, 2020)

Energy-Efficient Acceleration of Deep Neural Networks on Realtime-Constrained Embedded Edge Devices. - Bogil Kim; Sungjae Lee; Amit Ranjan Trivedi; William J. Song (IEEE Access, 2020)

MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. - Priyesh Shukla; Ahish Shylendra; Theja Tulabandhula; Amit Ranjan Trivedi (CoRR, 2020)

Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics. - Ahish Shylendra; Priyesh Shukla; Saibal Mukhopadhyay; Swarup Bhunia; Amit Ranjan Trivedi (CoRR, 2020)

Low Latency CMOS Hardware Acceleration for Fully Connected Layers in Deep Neural Networks. - Nick Iliev; Amit Ranjan Trivedi (CoRR, 2020)

Low Power Speaker Identification by Integrated Clustering and Gaussian Mixture Model Scoring. - Nick Iliev; Alberto Gianelli; Amit Ranjan Trivedi (IEEE Embed. Syst. Lett., 2020)

Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics. - Ahish Shylendra; Priyesh Shukla; Saibal Mukhopadhyay; Swarup Bhunia; Amit Ranjan Trivedi (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability. - Shamma Nasrin; Priyesh Shukla; Shruthi Jaisimha; Amit Ranjan Trivedi (DATE, 2021)

ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators. - Shamma Nasrin; Ahish Shylendra; Yuti Kadakia; Nick Iliev; Wilfred Gomes; Theja Tulabandhula; Amit Ranjan Trivedi (CoRR, 2021)

MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference Using Memory-Immersed Data Conversion and Multiplication-Free Operators. - Shamma Nasrin; Diaa Badawi; Ahmet Enis Çetin; Wilfred Gomes; Amit Ranjan Trivedi (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

On Database-Free Authentication of Microelectronic Components. - Fengchao Zhang; Shubhra Deb Paul; Patanjali SLPSK; Amit Ranjan Trivedi; Swarup Bhunia (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics. - Ahish Shylendra; Priyesh Shukla; Swarup Bhunia; Amit Ranjan Trivedi (AICAS, 2022)

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

Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars. - Ahish Shylendra; Priyesh Shukla; Amit Ranjan Trivedi (ISCAS, 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)

RIHANN: Remote IoT Hardware Authentication With Intrinsic Identifiers. - Shubhra Deb Paul; Fengchao Zhang; Patanjali SLPSK; Amit Ranjan Trivedi; Swarup Bhunia (IEEE Internet Things J., 2022)

Ferroelectric FET-Based Implementation of FitzHugh-Nagumo Neuron Model. - Dinesh Rajasekharan; Amol D. Gaidhane; Amit Ranjan Trivedi; Yogesh Singh Chauhan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory. - Priyesh Shukla; Ankith Muralidhar; Nick Iliev; Theja Tulabandhula; Sawyer B. Fuller; Amit Ranjan Trivedi (IEEE Trans. Very Large Scale Integr. Syst., 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)

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 (ICASSP, 2023)

Energy Efficient Memory-based Inference of LSTM by Exploiting FPGA Overlay. - Krishnendu Guha; Amit Ranjan Trivedi; Swarup Bhunia (IJCNN, 2023)

Lightweight, Uncertainty-Aware Conformalized Visual Odometry. - Alex C. Stutts; Danilo Erricolo; Theja Tulabandhula; Amit Ranjan Trivedi (IROS, 2023)

Readout IC with 40 MSPS in-pixel ADC for future vertex detector upgrades of Large Hadron Collider. - Benjamin Parpillon; Amit Ranjan Trivedi; Farah Fahim (ISCAS, 2023)

Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems. - Nastaran Darabi; Maeesha Binte Hashem; Supriyo Bandyopadhyay; Amit Ranjan Trivedi (ISQED, 2023)

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 (VLSID, 2023)

Roadmap for Unconventional Computing with Nanotechnology. - Giovanni Finocchio; Supriyo Bandyopadhyay; Peng Lin; Gang Pan 001; J. Joshua Yang; Riccardo Tomasello; Christos Panagopoulos; Mario Carpentieri; Vito Puliafito; Johan Åkerman; Hiroki Takesue; Amit Ranjan Trivedi; et al. (CoRR, 2023)

Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. - Davide Giacomini; Maeesha Binte Hashem; Jeremiah Suarez; Swarup Bhunia; Amit Ranjan Trivedi (CoRR, 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)

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)

Conformalized Multimodal Uncertainty Regression and Reasoning. - Domenico Parente; Nastaran Darabi; Alex C. Stutts; Theja Tulabandhula; Amit Ranjan Trivedi (ICASSP, 2024)

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 (ICRA, 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)

Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. - Davide Giacomini; Maeesha Binte Hashem; Jeremiah Suarez; Amit Ranjan Trivedi (VLSID, 2024)

Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning. - Alex Christopher Stutts; Danilo Erricolo; Theja Tulabandhula; Amit Ranjan Trivedi (CoRR, 2024)

Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing. - Sina Tayebati; Theja Tulabandhula; Amit Ranjan Trivedi (CoRR, 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)

Generative Sensing: Pre-training LiDAR with Masked Autoencoders for Ultra-Frugal Perception. - Sina Tayebati; Theja Tulabandhula; Amit Ranjan Trivedi (ICASSP, 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)

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)

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)

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)

HERCULES: Hardware accElerator foR stoChastic schedULing in hEterogeneous Systems. - Vairavan Palaniappan; Adam H. Ross; Amit Ranjan Trivedi; Debjit Pal (CoRR, 2025)