| 2026 | ACL | Robertha: Eigenspectrum Regularized Attention for Robust Natural Language Understanding. | Andreia Podasca, Anup Das |
| 2026 | FCCM | Sparse Compressed Quantized Dataflow Architecture (QUDA) for Neuromorphic Computing. | Shadi Matinizadeh, Anup Das |
| 2025 | DATE | Exploring Dendritic Computation in Bio-Inspired Architectures for Dynamic Programming. | Anup Das |
| 2025 | DATE | Online Learning for Dynamic Structural Characterization in Electron Energy Loss Spectroscopy. | M. Lakshmi Varshika, Jonathan Hollenbach, Nicolas Bohm Agostini, Ankur Limaye, Antonino Tumeo, Anup Das |
| 2025 | DSN | Hierarchical Model-Based Approach for Concurrent Testing of Neuromorphic Architecture. | Suman Kumar, Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy |
| 2025 | ICCAD | Optimizing Memory Latency and Bandwidth of Spiking Neural Network Accelerators on FPGA via Sparse Hashing. | Shadi Matinizadeh, M. Lakshmi Varshika, Anup Das |
| 2025 | ICCAD | Invited Paper: Analyzing the Robustness of Neuromorphic Computing in the Presence of Variability in Non-Volatile Memory. | Andreia Podasca, Anup Das |
| 2025 | ICCAD | Neuromorphic Architectures for Scientific Computing: a Structural Characterization Case Study. | M. Lakshmi Varshika, Jonathan Hollenbach, Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Anup Das, Mitra Taheri, Antonino Tumeo |
| 2025 | ISCAS | A Framework for Automatic Synthesis of Neuromorphic Architectures with Heterogeneous Integration of CMOS and Memristors. | Sarah Johari, Arghavan Mohammadhassani, Anup Das |
| 2025 | ISCAS | A Digital Neuromorphic Architecture for Unsupervised Shortest Path Computation on Real-World Graphs. | Arghavan Mohammadhassani, Shadi Matinizadeh, M. Lakshmi Varshika, Anup Das |
| 2025 | ISCAS | Improving Scalability of NoC-Based Neuromorphic Hardware with Compressed AER (C-AER) Protocol. | Arghavan Mohammadhassani, Sarah Johari, Krupa Tishbi, Anup Das |
| 2024 | ACSSC | QUANTISENC++: A Fully-Configurable Many-Core Neuromorphic Hardware. | Shadi Matinizadeh, Arghavan Mohammadhassani, M. Lakshmi Varshika, Sarah Johari, Nagarajan Kandasamy, Anup Das |
| 2024 | FPL | An Open-Source And Extensible Framework for Fast Prototyping and Benchmarking of Spiking Neural Network Hardware. | Shadi Matinizadeh, Anup Das |
| 2024 | ICANN | Sparsity Aware Learning in Feedback-Driven Differential Recurrent Neural Networks. | Ankita Paul, Anup Das |
| 2024 | ICANN | Learning in Recurrent Spiking Neural Networks with Sparse Full-FORCE Training. | Ankita Paul, Anup Das |
| 2024 | ICCAD | Neuromorphic Computing for Graph Analytics. | Anup Das |
| 2024 | IGARSS | Ecosystem Science with NISAR: Final Preparations in The Pre-Launch Period. | Paul Siqueira, John Armston, Bruce Chapman, Alexandra Christensen, Katherine C. Cushman, Anup Das, Ralph Dubayah, Josef Kellndorfer, Kyle McDonald, Chakrapani Patnaik, Sassan Saatchi |
| 2024 | IJCNN | Data Driven Learning of Aperiodic Nonlinear Dynamic Systems Using Spike Based Reservoirs-in-Reservoir. | Ankita Paul, Nagarajan Kandasamy, Kapil R. Dandekar, Anup Das |
| 2024 | IGARSS | The NASA ISRO SAR (NISAR) Mission - Validation of Science Measurement Requirements. | Bruce Chapman, Giovanni Anconitano, Adrian A. Borsa, Alexandra Christensen, KC Cushman, Anup Das, Andrea Donnellan, Brandi Downs, Eric Fielding, Ben Holt, Ian Joughin, Josef Kellndorfer, Seungbum Kim, Kyle McDonald, Franz J. Meyer, Talib Oliver-Cabrera, Adriana Parra, C. Patnai, Annemarie Peacock, Naiara Pinto, Deepak Putrevu, Paul Rosen, Sassan Saatchi, Mark Simons, Paul Siqueira, Catalina Taglialatela, Ekaterina Tymofyeyeva, Adam Vaccaro, Rob Zinke, Simon Zwieback |
| 2024 | IGARSS | Performance Evaluation of Optimization Functions for Neural Network Classifier Using Decomposed Polsar Images. | Akhil Masurkar, Rohin Daruwala, Arya Mohite, Sandip Pathe, Varsha Turkar, Anup Das |
| 2024 | IGARSS | Performance Evaluation of Optimization Functions for Neural Network Classifier Using Decomposed Polsar Images for Mangrove Detection. | Akhil Masurkar, Rohin Daruwala, Sandip Pathe, Arya Mohite, Varsha Turkar, Anup Das |
| 2024 | ITC | Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification. | Abhishek Kumar Mishra, Suman Kumar, Anush Niranjan Lingamoorthy, Anup Das, Nagarajan Kandasamy |
| 2024 | PRDC | Model-Based Approach Towards Correctness Checking of Neuromorphic Computing Systems. | Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy |
| 2024 | PRDC | Efficient Built-In Self-Test Strategy for Neuromorphic Hardware Based On Alarm Placement. | Ilknur Mustafazade, Anup Das, Nagarajan Kandasamy |
| 2024 | VTS | WaferCap: Open Classification of Wafer Map Patterns using Deep Capsule Network. | Abhishek Kumar Mishra, Mohammad Ershad Shaik, Anush Niranjan Lingamoorthy, Suman Kumar, Anup Das, Nagarajan Kandasamy, Nur A. Touba |
| 2023 | ASPDAC | Hardware-Software Co-Design for On-Chip Learning in AI Systems. | M. Lakshmi Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, Anup Das |
| 2023 | COMPSAC | Preserving Privacy of Neuromorphic Hardware From PCIe Congestion Side-Channel Attack. | Anup Das |
| 2023 | ETS | Online Performance Monitoring of Neuromorphic Computing Systems. | Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy |
| 2023 | IGARSS | Development of Generalized Machine Learning Model to Classify PolSAR Data. | Varsha Turkar, Akhil Masurkar, Anup Das, Rohin Daruwala |
| 2023 | IGARSS | Impact of Using Circular Polarization Correlation Coefficient (CCC) Along with Target Decomposition to Classify Oriented Settlement. | Varsha Turkar, Y. S. Rao, Anup Das |
| 2022 | DATE | Design of Many-Core Big Little Brains for Energy-Efficient Embedded Neuromorphic Computing. | M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor |
| 2022 | IJCNN | Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity. | Mali Halac, Murat Isik, Hasan Ayaz, Anup Das |
| 2022 | IJCNN | CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. | Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das, Jeffrey Kopsick, Eric Scott, Nate Sutton, Killian Weber, Nikil D. Dutt, Jeffrey L. Krichmar |
| 2022 | IJCNN | Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training. | Ankita Paul, Stefan Wagner, Anup Das |
| 2022 | MEMOCODE | Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC. | Anup Das |
| 2021 | ASPDAC | Aging-Aware Request Scheduling for Non-Volatile Main Memory. | Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy |
| 2021 | ICCAD | Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. | Serena Curzel, Nicolas Bohm Agostini, Shihao Song, Ismet Dagli, Ankur Limaye, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Vinay Amatya, Joseph B. Manzano, Anup Das, Fabrizio Ferrandi, Antonino Tumeo |
| 2021 | ICCAD | A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. | Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy |
| 2021 | IGARSS | Ecosystem Sciences with NISAR. | Paul Siqueira, John Armston, Bruce Chapman, Anup Das, Ralph Dubayah, Josef Kellndorfer, Kyle McDonald, Chakrapani Patnaik, Sassan Saatchi, Nathan Torbick |
| 2021 | VTS | Special Session: Reliability Analysis for AI/ML Hardware. | Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin |
| 2020 | EDCC | Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. | Shihao Song, Anup Das, Nagarajan Kandasamy |
| 2020 | IGARSS | The Effect of Hybrid Polarimetric Descriptors on Classification Accuracy of Various Land Cover Types. | Varsha Turkar, Shaunak De, Anup Das, Sanjay S. Shitole, Rinki Deo, Kaushik Patnaik |
| 2020 | IJCNN | PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. | Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor |
| 2018 | DAC | VRL-DRAM: improving DRAM performance via variable refresh latency. | Anup Das, Hasan Hassan, Onur Mutlu |
| 2018 | DATE | Mapping of local and global synapses on spiking neuromorphic hardware. | Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Francky Catthoor, Siebren Schaafsma |
| 2017 | IGARSS | Land cover classification for various features using optimum Touzi decomposition parameters. | Varsha Turkar, Y. S. Rao, Anup Das |
| 2016 | DATE | The slowdown or race-to-idle question: Workload-aware energy optimization of SMT multicore platforms under process variation. | Anup Das, Geoff V. Merrett, Bashir M. Al-Hashimi |
| 2015 | DATE | Workload uncertainty characterization and adaptive frequency scaling for energy minimization of embedded systems. | Anup Das, Akash Kumar, Bharadwaj Veeravalli, Rishad Ahmed Shafik, Geoff V. Merrett, Bashir M. Al-Hashimi |
| 2015 | ISLPED | Hardware-software interaction for run-time power optimization: A case study of embedded Linux on multicore smartphones. | Anup Das, Matthew J. Walker, Andreas Hansson, Bashir M. Al-Hashimi, Geoff V. Merrett |
| 2014 | DAC | Reinforcement Learning-Based Inter- and Intra-Application Thermal Optimization for Lifetime Improvement of Multicore Systems. | Anup Das, Rishad A. Shafik, Geoff V. Merrett, Bashir M. Al-Hashimi, Akash Kumar, Bharadwaj Veeravalli |
| 2014 | DATE | Temperature aware energy-reliability trade-offs for mapping of throughput-constrained applications on multimedia MPSoCs. | Anup Das, Akash Kumar, Bharadwaj Veeravalli |
| 2014 | DATE | Combined DVFS and mapping exploration for lifetime and soft-error susceptibility improvement in MPSoCs. | Anup Das, Akash Kumar, Bharadwaj Veeravalli, Cristiana Bolchini, Antonio Miele |
| 2014 | FPL | Criticality-aware scrubbing mechanism for SRAM-based FPGAs. | Rui Santos, Shyamsundar Venkataraman, Anup Das, Akash Kumar |
| 2014 | FPL | A bit-interleaved embedded hamming scheme to correct single-bit and multi-bit upsets for SRAM-based FPGAs. | Shyamsundar Venkataraman, Rui Santos, Anup Das, Akash Kumar |
| 2013 | CASES | Aging-aware hardware-software task partitioning for reliable reconfigurable multiprocessor systems. | Anup Das, Akash Kumar, Bharadwaj Veeravalli |
| 2013 | DAC | Energy optimization by exploiting execution slacks in streaming applications on multiprocessor systems. | Amit Kumar Singh, Anup Das, Akash Kumar |
| 2013 | DATE | Reliability-driven task mapping for lifetime extension of networks-on-chip based multiprocessor systems. | Anup Das, Akash Kumar, Bharadwaj Veeravalli |
| 2013 | DATE | Communication and migration energy aware design space exploration for multicore systems with intermittent faults. | Anup Das, Akash Kumar, Bharadwaj Veeravalli |
| 2013 | DSD | RAPIDITAS: RAPId Design-Space-Exploration Incorporating Trace-Based Analysis and Simulation. | Amit Kumar Singh, Anup Das, Akash Kumar |
| 2013 | FPL | Improving autonomous soft-error tolerance of FPGA through LUT configuration bit manipulation. | Anup Das, Shyamsundar Venkataraman, Akash Kumar |
| 2013 | IGARSS | Self-organizing feature map based polarimetric SAR data denoising. | Sanjay S. Shitole, Y. S. Rao, B. Krishna Mohan, Anup Das |
| 2013 | IGARSS | Comparative analysis of classification accuracy for RISAT-1 compact polarimetric data for various land-covers. | Varsha Turkar, Shaunak De, Y. S. Rao, Sanjay S. Shitole, Avik Bhattacharya, Anup Das |
| 2012 | DSD | Minimizing Power Consumption of Spatial Division Based Networks-on-Chip Using Multi-path and Frequency Reduction. | Sheng Hao Wang, Anup Das, Akash Kumar, Henk Corporaal |
| 2012 | ICPADS | Energy-Aware Communication and Remapping of Tasks for Reliable Multimedia Multiprocessor Systems. | Anup Das, Akash Kumar, Bharadwaj Veeravalli |
| 2012 | RSP | Fault-aware task re-mapping for throughput constrained multimedia applications on NoC-based MPSoCs. | Anup Das, Akash Kumar |
| 2012 | RSP | A design flow for partially reconfigurable heterogeneous multi-processor platforms. | Jiashu Li, Anup Das, Akash Kumar |
| 2010 | ICCD | A study on performance benefits of core morphing in an asymmetric multicore processor. | Anup Das, Rance Rodrigues, Israel Koren, Sandip Kundu |