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ORCIDSaibal Mukhopadhyay
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- affiliation: Georgia Institute of Technology, Atlanta GA, USA
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2020 – today
- 2024
[j100]Jongseok Woo
, Kuchul Jung, Saibal Mukhopadhyay:
Efficient Hardware Design of DNN for RF Signal Modulation Recognition Employing Ternary Weights. IEEE Access 12: 80165-80175 (2024)- [j99]Daehyun Kim, Nael Mizanur Rahman, Saibal Mukhopadhyay:
PRESTO: A Processing-in-Memory-Based k-SAT Solver Using Recurrent Stochastic Neural Network With Unsupervised Learning. IEEE J. Solid State Circuits 59(7): 2310-2320 (2024) - [c204]Kuchul Jung, Jongseok Woo, Saibal Mukhopadhyay:
A Hardware Accelerated Autoencoder for RF Communication Using Short-Time-Fourier- Transform Assisted Convolutional Neural Network. DATE 2024: 1-6 - [c203]Minah Lee, Sudarshan Sharma, Wei Chun Wang, Hemant Kumawat, Nael Mizanur Rahman, Saibal Mukhopadhyay:
Cognitive Sensing for Energy-Efficient Edge Intelligence. DATE 2024: 1-6 - [c202]Nael Mizanur Rahman, Uday Kamal, Manish Nagaraj, Shaunak Roy, Saibal Mukhopadhyay:
Driving Autonomy with Event-Based Cameras: Algorithm and Hardware Perspectives. DATE 2024: 1-6 - [c201]Mark Lee, Chris Clark, Saibal Mukhopadhyay:
A Pre-Silicon Physical Design Study Towards Mitigating EMSCA on Cryptographic ICs. HOST 2024: 66-69 - [c200]Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay:
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. ICLR 2024 - [c199]Payman Behnam, Uday Kamal, Ali Shafiee, Alexey Tumanov, Saibal Mukhopadhyay:
Harmonica: Hybrid Accelerator to Overcome Imperfections of Mixed-signal DNN Accelerators. IPDPS 2024: 619-630 - [c198]Wei Chun Wang, Shida Zhang, Sudarshan Sharma, Minah Lee, Saibal Mukhopadhyay:
Measurement of Aging Effect on an Analog Computing-In-Memory Macro in 28nm CMOS. IRPS 2024: 1-4 - [c197]Shida Zhang, Nael Mizanur Rahman, Wei Chun Wang, Narasimha Vasishta Kidambi, Carlos Tokunaga, Saibal Mukhopadhyay:
Measurement of Aging Effect in a Digitally Controlled Inductive Voltage Regulator in 65nm. IRPS 2024: 1-6 - [c196]Kuchul Jung, Jongseok Woo, Saibal Mukhopadhyay:
Enhancing IoT Security with a Hardware Accelerated Machine Learning Model coupling Autoencoder and Long-Short-Term-Memory for Anomaly Detection. ISCAS 2024: 1-5 - [c195]Nael Mizanur Rahman, Uday Kamal, Venkata Chaitanya Krishna Chekuri, Arvind Singh, Saibal Mukhopadhyay:
Passive Lightweight On-chip Sensors for Power Side Channel Attack Detection. ISCAS 2024: 1-5 - [c194]Jongseok Woo, Kuchul Jung, Saibal Mukhopadhyay:
Efficient Hardware Design of DNN for RF Signal Modulation Recognition. ISCAS 2024: 1-5 - [c193]Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction. L4DC 2024: 1357-1369 - [c192]Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay:
STEMFold: Stochastic temporal manifold for multi-agent interactions in the presence of hidden agents. L4DC 2024: 1427-1439 - [c191]Nael Mizanur Rahman, Sudarshan Sharma, Coleman DeLude, Wei Chun Wang, Justin Romberg, Saibal Mukhopadhyay:
BeamCIM: A Compute-In-Memory based Broadband Beamforming Accelerator using Linear Embedding. RWS 2024: 46-49 - [c190]Jongseok Woo, Kuchul Jung, Saibal Mukhopadhyay:
Modulation Recognition with Untrained Deep Neural Network for IoT and Mobile Applications. RWS 2024: 54-57 - [i44]Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay:
STEMFold: Stochastic Temporal Manifold for Multi-Agent Interactions in the Presence of Hidden Agents. CoRR abs/2401.14522 (2024) - [i43]Harshit Kumar, Biswadeep Chakraborty, Beomseok Kang, Saibal Mukhopadhyay:
Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction. CoRR abs/2402.15163 (2024) - [i42]Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay:
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. CoRR abs/2403.03409 (2024) - [i41]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks. CoRR abs/2403.12462 (2024) - [i40]Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction. CoRR abs/2404.06460 (2024) - [i39]Harshit Kumar, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Towards Robust Real-Time Hardware-based Mobile Malware Detection using Multiple Instance Learning Formulation. CoRR abs/2404.13125 (2024) - [i38]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing. CoRR abs/2407.06452 (2024) - 2023
- [j98]Kuchul Jung, Jongseok Woo, Saibal Mukhopadhyay:
On-Chip Acceleration of RF Signal Modulation Classification With Short-Time Fourier Transform and Convolutional Neural Network. IEEE Access 11: 144051-144063 (2023) - [j97]Priyabrata Saha, Luis Guerrero-Bonilla, Magnus Egerstedt, Saibal Mukhopadhyay:
Learning Deep Neural Network Controller for Path Following of Unicycle Robots. IEEE Robotics Autom. Lett. 8(1): 248-255 (2023) - [j96]Harshit Kumar, Biswadeep Chakraborty, Sudarshan Sharma, Saibal Mukhopadhyay:
XMD: An Expansive Hardware-Telemetry-Based Mobile Malware Detector for Endpoint Detection. IEEE Trans. Inf. Forensics Secur. 18: 5906-5919 (2023) - [c189]Biswadeep Chakraborty, Uday Kamal, Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay:
Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception. DATE 2023: 1-6 - [c188]Sudarshan Sharma, Wei Chun Wang, Coleman DeLude, Minah Lee, Nael Mizanur Rahman, Narasimha Vasishta Kidambi, Justin Romberg, Saibal Mukhopadhyay:
AFE-CIM: A Current-Domain Compute-In-Memory Macro for Analog-to-Feature Extraction. ESSCIRC 2023: 33-36 - [c187]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles. ICLR 2023 - [c186]Uday Kamal, Saurabh Dash, Saibal Mukhopadhyay:
Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception. ICLR 2023 - [c185]Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. ICLR 2023 - [c184]Minah Lee, Sudarshan Sharma, Wei Chun Wang, Saibal Mukhopadhyay:
Energy-Efficient Sensor Platform using Reliable Analog-to-Feature Extraction. SENSORS 2023: 1-4 - [c183]Sudarshan Sharma, Uday Kamal, Jianming Tong, Tushar Krishna, Saibal Mukhopadhyay:
SNATCH: Stealing Neural Network Architecture from ML Accelerator in Intelligent Sensors. SENSORS 2023: 1-4 - [c182]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction. IJCNN 2023: 1-8 - [c181]Beomseok Kang, Saibal Mukhopadhyay:
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning. IJCNN 2023: 1-8 - [c180]Minah Lee, Anni Lu, Mandovi Mukherjee, Shimeng Yu, Saibal Mukhopadhyay:
CLUE: Cross-Layer Uncertainty Estimator for Reliable Neural Perception using Processing-in-Memory Accelerators. IJCNN 2023: 1-8 - [c179]Daehyun Kim, Nael Mizanur Rahman, Saibal Mukhopadhyay:
A 32.5mW Mixed-Signal Processing-in-Memory-Based k-SAT Solver in 65nm CMOS with 74.0% Solvability for 3D-Variable 126-Clause 3-SAT Problems. ISSCC 2023: 418-419 - [c178]Woohong Byun, Saibal Mukhopadhyay:
Hessian-Based Parameter Quantization Method for BERT. MWSCAS 2023: 516-520 - [c177]Nathan Eli Miller, Biswadeep Chakraborty, Saibal Mukhopadhyay:
A Reconfigurable Quantum State Tomography Solver in FPGA. QCE 2023: 1412-1421 - [i37]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 Camsari, 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, Kang Wang, 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:
Roadmap for Unconventional Computing with Nanotechnology. CoRR abs/2301.06727 (2023) - [i36]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles. CoRR abs/2302.11618 (2023) - [i35]Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. CoRR abs/2302.11622 (2023) - [i34]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction. CoRR abs/2304.04697 (2023) - 2022
- [j95]Biswadeep Chakraborty, Saibal Mukhopadhyay:
μDARTS: Model Uncertainty-Aware Differentiable Architecture Search. IEEE Access 10: 98670-98682 (2022) - [j94]Edward Lee, Daehyun Kim, Jinwoo Kim, Sung Kyu Lim, Saibal Mukhopadhyay:
A ReRAM Memory Compiler for Monolithic 3D Integrated Circuits in a Carbon Nanotube Process. ACM J. Emerg. Technol. Comput. Syst. 18(1): 20:1-20:20 (2022) - [j93]Saurabh Dash, Yandong Luo, Anni Lu, Shimeng Yu, Saibal Mukhopadhyay:
Robust Processing-In-Memory With Multibit ReRAM Using Hessian-Driven Mixed-Precision Computation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1006-1019 (2022) - [j92]Edward Lee, Nael Mizanur Rahman, Venkata Chaitanya Krishna Chekuri, Arvind Singh, Saibal Mukhopadhyay:
A Low-Power Authentication IC for Visible-Light-Based Interrogation. IEEE Trans. Ind. Electron. 69(3): 3120-3130 (2022) - [j91]Kruttidipta Samal, Hemant Kumawat, Priyabrata Saha, Marilyn Wolf, Saibal Mukhopadhyay:
Task-Driven RGB-Lidar Fusion for Object Tracking in Resource-Efficient Autonomous System. IEEE Trans. Intell. Veh. 7(1): 102-112 (2022) - [c176]Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay:
Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods. ICLR 2022 - [c175]Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay:
Learning Point Processes using Recurrent Graph Network. IJCNN 2022: 1-8 - [c174]Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay:
Unsupervised Hebbian Learning on Point Sets in StarCraft II. IJCNN 2022: 1-8 - [c173]Hemant Kumawat, Saibal Mukhopadhyay:
Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection. IJCNN 2022: 1-8 - [c172]Minah Lee, Burhan Ahmad Mudassar, Saibal Mukhopadhyay:
Lightweight Model Uncertainty Estimation for Deep Neural Object Detection. IJCNN 2022: 1-8 - [c171]Kruttidipta Samal, Hemant Kumawat, Marilyn Wolf, Saibal Mukhopadhyay:
A Methodology for Understanding the Origins of False Negatives in DNN Based Object Detectors. IJCNN 2022: 1-8 - [c170]Shida Zhang, Nael Mizanur Rahman, Venkata Chaitanya Krishna Chekuri, Carlos Tokunaga, Saibal Mukhopadhyay:
Analysis of the Effect of Hot Carrier Injection in An Integrated Inductive Voltage Regulator. ISLPED 2022: 12:1-12:6 - [i33]Priyabrata Saha, Saibal Mukhopadhyay:
Unraveled Multilevel Transformation Networks for Predicting Sparsely-Observed Spatiotemporal Dynamics. CoRR abs/2203.08655 (2022) - [i32]Burhan Ahmad Mudassar, Sho Ko, Maojingjing Li, Priyabrata Saha, Saibal Mukhopadhyay:
RADNet: A Deep Neural Network Model for Robust Perception in Moving Autonomous Systems. CoRR abs/2205.00364 (2022) - [i31]Hemant Kumawat, Saibal Mukhopadhyay:
Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection. CoRR abs/2206.01772 (2022) - [i30]Harshit Kumar, Biswadeep Chakraborty, Sudarshan Sharma, Nikhil Chawla, Saibal Mukhopadhyay:
XMD: An Expansive Hardware-telemetry based Malware Detector to enhance Endpoint Detection. CoRR abs/2206.12447 (2022) - [i29]Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay:
Unsupervised Hebbian Learning on Point Sets in StarCraft II. CoRR abs/2207.12323 (2022) - [i28]Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay:
Learning Point Processes using Recurrent Graph Network. CoRR abs/2208.05736 (2022) - [i27]Payman Behnam, Uday Kamal, Saibal Mukhopadhyay:
An Algorithm-Hardware Co-design Framework to Overcome Imperfections of Mixed-signal DNN Accelerators. CoRR abs/2208.13896 (2022) - [i26]Beomseok Kang, Saibal Mukhopadhyay:
Forecasting Evolution of Clusters in StarCraft II with Hebbian Learning. CoRR abs/2209.06904 (2022) - [i25]Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay:
Forecasting local behavior of multi-agent system and its application to forest fire model. CoRR abs/2210.17289 (2022) - [i24]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification. CoRR abs/2211.04297 (2022) - 2021
- [j90]Priyabrata Saha, Saibal Mukhopadhyay:
A Deep Learning Approach for Predicting Spatiotemporal Dynamics From Sparsely Observed Data. IEEE Access 9: 64200-64210 (2021) - [j89]Beomseok Kang, Anni Lu, Yun Long, Daehyun Kim, Shimeng Yu, Saibal Mukhopadhyay:
Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 649-662 (2021) - [j88]Nikhil Chawla, Arvind Singh, Harshit Kumar, Monodeep Kar, Saibal Mukhopadhyay:
Securing IoT Devices Using Dynamic Power Management: Machine Learning Approach. IEEE Internet Things J. 8(22): 16379-16394 (2021) - [j87]Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay:
Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems. Neural Networks 144: 359-371 (2021) - [j86]Xueyuan She, Yun Long, Daehyun Kim, Saibal Mukhopadhyay:
ScieNet: Deep learning with spike-assisted contextual information extraction. Pattern Recognit. 118: 108002 (2021) - [j85]Priyabrata Saha, Magnus Egerstedt, Saibal Mukhopadhyay:
Neural Identification for Control. IEEE Robotics Autom. Lett. 6(3): 4648-4655 (2021) - [j84]Burhan Ahmad Mudassar, Priyabrata Saha, Marilyn Wolf, Saibal Mukhopadhyay:
A Task-Driven Feedback Imager with Uncertainty Driven Hybrid Control. Sensors 21(8): 2610 (2021) - [j83]Nikhil Chawla, Harshit Kumar, Saibal Mukhopadhyay:
Machine Learning in Wavelet Domain for Electromagnetic Emission Based Malware Analysis. IEEE Trans. Inf. Forensics Secur. 16: 3426-3441 (2021) - [j82]Biswadeep Chakraborty, Xueyuan She, Saibal Mukhopadhyay:
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection. IEEE Trans. Image Process. 30: 9014-9029 (2021) - [j81]Bahar Asgari, Saibal Mukhopadhyay, Sudhakar Yalamanchili:
MAHASIM: Machine-Learning Hardware Acceleration Using a Software-Defined Intelligent Memory System. J. Signal Process. Syst. 93(6): 659-675 (2021) - [c169]Nathan Eli Miller, Zheng Wang, Saurabh Dash, Asif Islam Khan, Saibal Mukhopadhyay:
Characterization of Drain Current Variations in FeFETs for PIM-based DNN Accelerators. AICAS 2021: 1-4 - [c168]Kruttidipta Samal, Marilyn Wolf, Saibal Mukhopadhyay:
Introspective Closed-Loop Perception for Energy-efficient Sensors. AVSS 2021: 1-8 - [c167]Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay:
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. DAC 2021: 961-966 - [c166]Kruttidipta Samal, Marilyn Wolf, Saibal Mukhopadhyay:
Closed-loop Approach to Perception in Autonomous System. DATE 2021: 463-468 - [c165]Minah Lee, Xueyuan She, Biswadeep Chakraborty, Saurabh Dash, Burhan Ahmad Mudassar, Saibal Mukhopadhyay:
Reliable Edge Intelligence in Unreliable Environment. DATE 2021: 896-901 - [c164]He Xiao, Monodeep Kar, Saibal Mukhopadhyay, Sudhakar Yalamanchili:
VDPred: Predicting Voltage Droop for Power-Effient 3D Multi-core Processor Design. ICCAE 2021: 83-88 - [i23]Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay:
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. CoRR abs/2103.11519 (2021) - [i22]Biswadeep Chakraborty, Xueyuan She, Saibal Mukhopadhyay:
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection. CoRR abs/2104.10719 (2021) - [i21]Nathan Eli Miller, Saibal Mukhopadhyay:
A Quantum Hopfield Associative Memory Implemented on an Actual Quantum Processor. CoRR abs/2105.11590 (2021) - [i20]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Characterization of Generalizability of Spike Time Dependent Plasticity trained Spiking Neural Networks. CoRR abs/2105.14677 (2021) - [i19]Biswadeep Chakraborty, Saibal Mukhopadhyay:
$μ$DARTS: Model Uncertainty-Aware Differentiable Architecture Search. CoRR abs/2107.11500 (2021) - 2020
- [j80]Arjun Chaudhuri, Sanmitra Banerjee, Heechun Park, Jinwoo Kim, Gauthaman Murali, Edward Lee, Daehyun Kim, Sung Kyu Lim, Saibal Mukhopadhyay, Krishnendu Chakrabarty:
Advances in Design and Test of Monolithic 3-D ICs. IEEE Des. Test 37(4): 92-100 (2020) - [j79]Kruttidipta Samal, Marilyn Wolf, Saibal Mukhopadhyay:
Attention-Based Activation Pruning to Reduce Data Movement in Real-Time AI: A Case-Study on Local Motion Planning in Autonomous Vehicles. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(3): 306-319 (2020) - [j78]Minah Lee, Mandovi Mukherjee, Edward Lee, Priyabrata Saha, Mohammad Faisal Amir, Taesik Na, Saibal Mukhopadhyay:
Cross-Layer Noise Analysis in Smart Digital Pixel Sensors With Integrated Deep Neural Network. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 444-457 (2020) - [j77]Arvind Singh, Monodeep Kar, Venkata Chaitanya Krishna Chekuri, Sanu K. Mathew, Anand Rajan, Vivek De, Saibal Mukhopadhyay:
Enhanced Power and Electromagnetic SCA Resistance of Encryption Engines via a Security-Aware Integrated All-Digital LDO. IEEE J. Solid State Circuits 55(2): 478-493 (2020) - [j76]Venkata Chaitanya Krishna Chekuri, Monodeep Kar, Arvind Singh, Anto Kavungal Davis, Mohamed Lamine Faycal Bellaredj, Madhavan Swaminathan, Saibal Mukhopadhyay:
An Inductive Voltage Regulator With Overdrive Tracking Across Input Voltage in Cascoded Power Stage. IEEE Trans. Circuits Syst. 67-II(12): 3083-3087 (2020) - [j75]Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi:
Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics. IEEE Trans. Very Large Scale Integr. Syst. 28(8): 1833-1843 (2020) - [j74]Jinwoo Kim, Gauthaman Murali, Heechun Park, Eric Qin, Hyoukjun Kwon, Venkata Chaitanya Krishna Chekuri, Nael Mizanur Rahman, Nihar Dasari, Arvind Singh, Minah Lee, Hakki Mert Torun, Kallol Roy, Madhavan Swaminathan, Saibal Mukhopadhyay, Tushar Krishna, Sung Kyu Lim:
Architecture, Chip, and Package Codesign Flow for Interposer-Based 2.5-D Chiplet Integration Enabling Heterogeneous IP Reuse. IEEE Trans. Very Large Scale Integr. Syst. 28(11): 2424-2437 (2020) - [c163]Minah Lee, Mandovi Mukherjee, Priyabrata Saha, Mohammad Faisal Amir, Taesik Na, Saibal Mukhopadhyay:
Effect of Process Variations in Digital Pixel Circuits on the Accuracy of DNN based Smart Sensor. AICAS 2020: 296-300 - [c162]Venkata Chaitanya Krishna Chekuri, Nael Mizanur Rahman, Edward Lee, Arvind Singh, Saibal Mukhopadhyay:
A Fully Synthesized Integrated Buck Regulator with Auto-generated GDS-II in 65nm CMOS Process. CICC 2020: 1-4 - [c161]Edward Lee, Nael Mizanur Rahman, Venkata Chaitanya Krishna Chekuri, Saibal Mukhopadhyay:
An Authentication IC with Visible Light Based Interrogation in 65nm CMOS. CICC 2020: 1-4 - [c160]Nael Mizanur Rahman, Edward Lee, Venkata Chaitanya Krishna Chekuri, Arvind Singh, Saibal Mukhopadhyay:
A Configurable Dual-Mode PRINCE Cipher with Security Aware Pipelining in 65nm for High Throughput Applications. CICC 2020: 1-4 - [c159]Minah Lee, Burhan Ahmad Mudassar, Taesik Na, Saibal Mukhopadhyay:
WarningNet: A Deep Learning Platform for Early Warning of Task Failures under Input Perturbation for Reliable Autonomous Platforms. DAC 2020: 1-6 - [c158]Yun Long, Edward Lee, Daehyun Kim, Saibal Mukhopadhyay:
Q-PIM: A Genetic Algorithm based Flexible DNN Quantization Method and Application to Processing-In-Memory Platform. DAC 2020: 1-6 - [c157]Saurabh Dash, Saibal Mukhopadhyay:
Hessian-Driven Unequal Protection of DNN Parameters for Robust Inference. ICCAD 2020: 76:1-76:9 - [c156]Jinwoo Kim, Gauthaman Murali, Pruek Vanna-Iampikul, Edward Lee, Daehyun Kim, Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty, Saibal Mukhopadhyay, Sung Kyu Lim:
RTL-to-GDS Design Tools for Monolithic 3D ICs. ICCAD 2020: 126:1-126:8 - [c155]Jinwoo Kim, Venkata Chaitanya Krishna Chekuri, Nael Mizanur Rahman, Majid Ahadi Dolatsara, Hakki Mert Torun, Madhavan Swaminathan, Saibal Mukhopadhyay, Sung Kyu Lim:
Silicon vs. Organic Interposer: PPA and Reliability Tradeoffs in Heterogeneous 2.5D Chiplet Integration. ICCD 2020: 80-87 - [c154]Priyabrata Saha, Arslan Ali, Burhan Ahmad Mudassar, Yun Long, Saibal Mukhopadhyay:
MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network. ICRA 2020: 8158-8164 - [c153]Burhan Ahmad Mudassar, Priyabrata Saha, Saibal Mukhopadhyay:
Uncertainty Characterization in Active Sensor Systems with DNN-based Feedback Control. IEEE SENSORS 2020: 1-4 - [c152]Mandovi Mukherjee, Burhan Ahmad Mudassar, Minah Lee, Saibal Mukhopadhyay:
Algorithm-Circuit Cross-layer Control for Digital Pixel Image Sensors. IEEE SENSORS 2020: 1-4 - [c151]Yun Long, Edward Lee, Daehyun Kim, Saibal Mukhopadhyay:
Flex-PIM: A Ferroelectric FET based Vector Matrix Multiplication Engine with Dynamical Bitwidth and Floating Point Precision. IJCNN 2020: 1-8 - [c150]Kruttidipta Samal, Marilyn Wolf, Saibal Mukhopadhyay:
Hybridization of Data and Model based Object Detection for Tracking in Flash Lidars. IJCNN 2020: 1-6 - [c149]Xueyuan She, Priyabrata Saha, Daehyun Kim, Yun Long, Saibal Mukhopadhyay:
SAFE-DNN: A Deep Neural Network With Spike Assisted Feature Extraction For Noise Robust Inference. IJCNN 2020: 1-8 - [c148]Venkata Chaitanya Krishna Chekuri, Arvind Singh, Nael Mizanur Rahman, Edward Lee, Saibal Mukhopadhyay:
Aging Challenges in On-chip Voltage Regulator Design. IRPS 2020: 1-8 - [c147]