| 2026 | EACL | RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion. | mer Faruk Akgl, Feiyu Zhu, Yuxin Yang, Rajgopal Kannan, Viktor K. Prasanna |
| 2026 | FPGA | HERA: A Bandwidth-efficient Accelerator for Fully Homomorphic Encryption on HBM-enabled FPGA. | Zhihan Xu, Rajgopal Kannan, Viktor K. Prasanna |
| 2025 | CIKM | Unified Robustness via Spurious-Invariant Features and On-Manifold Adversaries. | Xu Wang, Rajgopal Kannan, Viktor K. Prasanna |
| 2025 | FCCM | High Throughput Matrix Transposition on HBM-Enabled FPGAs. | Yang Yang, Rajgopal Kannan, Viktor K. Prasanna |
| 2025 | FPGA | OLA: An FPGA-based Overlay Accelerator for Privacy Preserving Machine Learning with Homomorphic Encryption. | Yang Yang, Rajgopal Kannan, Viktor K. Prasanna |
| 2025 | FPGA | FAST: FPGA Acceleration of Fully Homomorphic Encryption with Efficient Bootstrapping. | Zhihan Xu, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna |
| 2025 | FPL | FAME: FPGA Acceleration of Secure Matrix Multiplication with Homomorphic Encryption. | Zhihan Xu, Rajgopal Kannan, Viktor K. Prasanna |
| 2025 | ICPP | AMPED: Accelerating MTTKRP for Billion-Scale Sparse Tensor Decomposition on Multiple GPUs. | Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna |
| 2025 | WCNC | AP Selection in Uplink Cell-Free Massive MIMO: An Unsupervised Heterogeneous GNN Approach. | Yuhong Liu, Gangda Deng, Hongkuan Zhou, Cauligi S. Raghavendra, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna |
| 2025 | UAI | Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information. | mer Faruk Akgl, Rajgopal Kannan, Viktor K. Prasanna |
| 2024 | ACSSC | Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU $\mathcal{X}_{(d)}$. | Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna |
| 2024 | FCCM | Accelerating ViT Inference on FPGA through Static and Dynamic Pruning. | Dhruv Parikh, Shouyi Li, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna |
| 2024 | FCCM | Bandwidth Efficient Homomorphic Encrypted Discrete Fourier Transform Acceleration on FPGA. | Zhihan Xu, Yang Yang, Rajgopal Kannan, Viktor K. Prasanna |
| 2024 | FCCM | GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA. | Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna |
| 2024 | ICIP | A Single Graph Convolution is All You Need: Efficient Grayscale Image Classification. | Jacob Fein-Ashley, Sachini Wickramasinghe, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | CIKM | Training Heterogeneous Graph Neural Networks using Bandit Sampling. | Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | DATA | Characterizing Speed Performance of Multi-Agent Reinforcement Learning. | Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | FPGA | A Framework for Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform via on-chip Dynamic Tree Management. | Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | FPGA | Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA. | Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | FPL | FPGA Acceleration of Rotation in Homomorphic Encryption Using Dynamic Data Layout. | Yang Yang, Weihang Long, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | INFOCOM | HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. | Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna |
| 2023 | SC | Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. | Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | SBAC-PAD | Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. | Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna |
| 2022 | CoNEXT | Throughput optimization in heterogeneous MIMO networks: a GNN-based approach. | Ta-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna |
| 2022 | DATA | Towards Programmable Memory Controller for Tensor Decomposition. | Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna |
| 2022 | DATA | A2P: Attention-based Memory Access Prediction for Graph Analytics. | Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna |
| 2022 | FCCM | FPGA Accelerator for Homomorphic Encrypted Sparse Convolutional Neural Network Inference. | Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2022 | FPGA | End-to-End Acceleration of Homomorphic Encrypted CNN Inference on FPGAs. | Tian Ye, Rajgopal Kannan, Viktor K. Prasanna |
| 2022 | FPL | Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. | Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna |
| 2022 | FPL | Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA. | Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart |
| 2022 | HiPC | Accelerating Prefix Scan with in-network computing on Intel PIUMA. | Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna |
| 2022 | ISPDC | Estimating the Impact of Communication Schemes for Distributed Graph Processing. | Tian Ye, Sanmukh R. Kuppannagari, Csar A. F. De Rose, Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna |
| 2022 | SC | ReSemble: Reinforced Ensemble Framework for Data Prefetching. | Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna |
| 2021 | CIKM | SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. | Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | FCCM | BoostGCN: A Framework for Optimizing GCN Inference on FPGA. | Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | FPGA | DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference. | Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | FPGA | A Framework for Optimizing GCN Inference on FPGA. | Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | FPL | Performance Modeling and FPGA Acceleration of Homomorphic Encrypted Convolution. | Tian Ye, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | HiPC | How to Avoid Zero-Spacing in Fractionally-Strided Convolution? A Hardware-Algorithm Co-Design Methodology. | Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | HiPC | Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms. | Ta-Yang Wang, William Chang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | HOTI | In-network reductions on multi-dimensional HyperX. | Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | HOTI | Programmable FPGA-based Memory Controller. | Sasindu Wijeratne, Sanket Pattnaik, Zhiyu Chen, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | SC | GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms. | Naifeng Zhang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna |
| 2020 | FPGA | Reuse Kernels or Activations?: A Flexible Dataflow for Low-latency Spectral CNN Acceleration. | Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna |
| 2020 | FPGA | QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators. | Rachit Rajat, Yuan Meng, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Viktor K. Prasanna, Rajgopal Kannan |
| 2020 | HiPC | Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction. | Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna |
| 2020 | ICLR | GraphSAINT: Graph Sampling Based Inductive Learning Method. | Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna |
| 2020 | PAKDD | MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction. | Ajitesh Srivastava, Ta-Yang Wang, Pengmiao Zhang, Csar Augusto Fonticielha De Rose, Rajgopal Kannan, Viktor K. Prasanna |
| 2019 | HiPC | SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. | Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna |
| 2019 | PPoPP | GPOP: a cache and memory-efficient framework for graph processing over partitions. | Kartik Lakhotia, Rajgopal Kannan, Sourav Pati, Viktor K. Prasanna |
| 2019 | SENSYS | Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation. | Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2018 | FPGA | FASTCF: FPGA-based Accelerator for STochastic-Gradient-Descent-based Collaborative Filtering. | Shijie Zhou, Rajgopal Kannan, Yu Min, Viktor K. Prasanna |
| 2018 | USENIX | Accelerating PageRank using Partition-Centric Processing. | Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna |
| 2017 | HiPC | ReCALL: Reordered Cache Aware Locality Based Graph Processing. | Kartik Lakhotia, Shreyas G. Singapura, Rajgopal Kannan, Viktor K. Prasanna |
| 2017 | SENSYS | Optimal net-load balancing in smart grids with high PV penetration. | Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2016 | ICCS | Optimal Customer Targeting for Sustainable Demand Response in Smart Grids. | Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Arash Saber Tehrani, Viktor K. Prasanna |
| 2016 | IJCAI | Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid. | Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna |
| 2012 | COCOON | Stretch in Bottleneck Games. | Costas Busch, Rajgopal Kannan |
| 2011 | GLOBECOM | Sensing and Transmission in Probabilistically Interference-Limited Cognitive Radio Systems. | Shuangqing Wei, Vasu Chakravarthy, Zhiqiang Wu, Rajgopal Kannan |
| 2010 | Qshine | A Sparse Bayesian Framework for Anomaly Detection in Heterogeneous Networks. | Jian Zhang, Rajgopal Kannan |
| 2010 | SAGT | Bottleneck Congestion Games with Logarithmic Price of Anarchy. | Rajgopal Kannan, Costas Busch |
| 2009 | PERCOM | Online Algorithms for Maximizing Quality of Link Transmissions over a Jammed Wireless Channel. | Rajgopal Kannan, Shuangqing Wei, Costas Busch, Athanasios V. Vasilakos |
| 2008 | GLOBECOM | Energy Efficient Estimation of Gaussian Sources over Inhomogeneous Gaussian MAC Channels. | Shuangqing Wei, Rajgopal Kannan, S. Sitharama Iyengar, Nageswara S. V. Rao |
| 2007 | CISS | Minimax and Maxmin Solutions to Gaussian Jamming in Block-Fading Channels under Long Term Power Constraints. | George T. Amariucai, Shuangqing Wei, Rajgopal Kannan |
| 2007 | CISS | Algorithms for Relaying via Channel Quantization in Finite Rate Feedback Limited Sensor Networks. | Rajgopal Kannan, Shuangqing Wei, Guohui Deng, Vasu Chakravarthy, Murali Rangaswamy |
| 2007 | DCOSS | A Fully Polynomial Approximation Algorithm for Collaborative Relaying in Sensor Networks Under Finite Rate Constraints. | Rajgopal Kannan, Shuangqing Wei, Vasu Chakravarthy, Murali Rangaswamy |
| 2007 | ICASSP | Energy Efficient Relaying and Coalition-Forming in Relay Networks. | Rajgopal Kannan, Shuangqing Wei |
| 2007 | ISIT | Gaussian Jamming in Block-Fading Channels under Long Term Power Constraints. | George T. Amariucai, Shuangqing Wei, Rajgopal Kannan |
| 2006 | CISS | Scheduling with Rate and Duty-Cycle Constraints for Wireless Networks over an Interference Channel. | Rajgopal Kannan, Shuangqing Wei |
| 2006 | DCOSS | Approximation Algorithms for Power-Aware Scheduling of Wireless Sensor Networks with Rate and Duty-Cycle Constraints. | Rajgopal Kannan, Shuangqing Wei |
| 2006 | ISIT | Strategic Versus Collaborative Power Control in Relay Fading Channels. | Shuangqing Wei, Rajgopal Kannan |
| 2005 | WiMob | Energy and deployment aware sensing for wireless sensor networks. | Ramaraju Kalidindi, Rajgopal Kannan |
| 2004 | AINA | Authenticated Autonomous System Traceback. | Vamsi Paruchuri, Arjan Durresi, Rajgopal Kannan, S. Sitharama Iyengar |
| 2004 | Broadnets | Random Asynchronous Wakeup Protocol for Sensor Networks. | Vamsi Paruchuri, Shivakumar Basavaraju, Arjan Durresi, Rajgopal Kannan, S. Sitharama Iyengar |
| 2004 | EWSN | Max-Min Length-Energy-Constrained Routing in Wireless Sensor Networks. | Rajgopal Kannan, Lydia Ray, Ramaraju Kalidindi, S. Sitharama Iyengar |
| 2004 | ICDCIT | NEC: Node Energy Based Clustering Protocol for Wireless Sensor Networks with Guaranteed Connectivity. | Shilpa Dhar, Krishnendu Roy, Rajgopal Kannan |
| 2003 | ICPP | A Recovery Algorithm for Reliable Multicasting in Reliable Networks. | Danyang Zhang, Sibabrata Ray, Rajgopal Kannan, S. Sitharama Iyengar |
| 2003 | INFOCOM | Sensor-Centric Quality of Routing in Sensor Networks. | Rajgopal Kannan, Sudipta Sarangi, S. Sitharama Iyengar, Lydia Ray |
| 2002 | GLOBECOM | Static subgroup-based source recovery for reliable multicast in reliable networks. | Danyang Zhang, Sibabrata Ray, Rajgopal Kannan |
| 2002 | ICPP | Minimal Sensor Integrity in Sensor Grids. | Rajgopal Kannan, Sudipta Sarangi, Sibabrata Ray, S. Sitharama Iyengar |
| 2000 | ICCCN | A fair and efficient multicast ATM switch based on deflection routing. | Rajgopal Kannan, Sibabrata Ray |
| 2000 | ISCC | A Fair and Efficient Multicast ATM Switch based on Deflection Routing. | Rajgopal Kannan, Sibabrata Ray |
| 1997 | INFOCOM | A Pipelined Single-Bit Controlled Sorting Network with | Rajgopal Kannan |
| 1997 | INFOCOM | STWnet: A High Bandwidth Space-Time-Wavelength Multiplexed Optical Switching Network. | Rajgopal Kannan, Radim Bartos, Kyungsook Y. Lee, Harry F. Jordan |