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ORCIDAyan Biswas
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2020 – today
- 2024
[c26]Zhongkai Wang, Minsoo Choi, Paul Kwon, Zhaokai Liu, Bozhi Yin, Kyoungtae Lee, Kwanseo Park, Ayan Biswas, Jaeduk Han, Sijun Du, Elad Alon:
A 24.6-29.6GHz Hybrid Sub-Sampling PLL with Tri-State Integral Path Achieving 44fs Jitter and -254.8dB FOM in 28nm CMOS. ISCAS 2024: 1-5- [c25]Haoyu Li, Isaac J. Michaud, Ayan Biswas, Han-Wei Shen:
Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data. PacificVis 2024: 252-261 - [i12]Di Fan, Ayan Biswas, James Paul Ahrens:
Explainable AI Integrated Feature Engineering for Wildfire Prediction. CoRR abs/2404.01487 (2024) - [i11]Manish Bhattarai, Javier E. Santos, Shawn Jones, Ayan Biswas, Boian S. Alexandrov, Daniel O'Malley:
Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation. CoRR abs/2407.19619 (2024) - 2023
- [j17]Ben Amies-King
, Karolina P. Schatz, Haofan Duan, Ayan Biswas, Jack Bailey, Adrian Felvinti, Jaimes Winward, Mike Dixon, Mariella Minder, Rupesh Kumar, Sophie Albosh, Marco Lucamarini:
Quantum Communications Feasibility Tests over a UK-Ireland 224 km Undersea Link. Entropy 25(12): 1572 (2023) - [j16]Megan Hickman Fulp, Dakota Fulp, Changfeng Zou, Cooper Sanders, Ayan Biswas, Melissa C. Smith, Jon C. Calhoun:
Accelerated dynamic data reduction using spatial and temporal properties. Int. J. High Perform. Comput. Appl. 37(5): 539-559 (2023) - [j15]Jingyi Shen, Haoyu Li, Jiayi Xu, Ayan Biswas, Han-Wei Shen:
IDLat: An Importance-Driven Latent Generation Method for Scientific Data. IEEE Trans. Vis. Comput. Graph. 29(1): 679-689 (2023) - [c24]Ayan Biswas, Sai Amrit Patnaik, A. H. Abdul Hafez, Anoop M. Namboodiri:
Characterizing Face Recognition for Resource Efficient Deployment on Edge. ICCV (Workshops) 2023: 1304-1313 - [c23]Ayan Biswas, Arindam Bhattacharya, Yi-Tang Chen, Han-Wei Shen:
Sub-Linear Time Sampling Approach for Large-Scale Data Visualization Using Reinforcement Learning. LDAV 2023: 12-16 - [i10]Derek DeSantis, Ayan Biswas, Earl Lawrence, Phillip Wolfram:
Dynamic Data Assimilation of MPAS-O and the Global Drifter Dataset. CoRR abs/2301.05551 (2023) - [i9]Ayan Biswas, Supriya Dhabal, Palaniandavar Venkateswaran:
Exploring Music Genre Classification: Algorithm Analysis and Deployment Architecture. CoRR abs/2309.04861 (2023) - [i8]Ayan Biswas, Supriya Dhabal, Palaniandavar Venkateswaran:
Design of a Low-Power High-Gain Bio-Medical Operational Amplifier in 65nm Technology using gm/ID Methodology. CoRR abs/2309.04863 (2023) - 2022
- [j14]Zhongkai Wang, Minsoo Choi, Kyoungtae Lee, Kwanseo Park, Zhaokai Liu, Ayan Biswas, Jaeduk Han, Sijun Du, Elad Alon:
An Output Bandwidth Optimized 200-Gb/s PAM-4 100-Gb/s NRZ Transmitter With 5-Tap FFE in 28-nm CMOS. IEEE J. Solid State Circuits 57(1): 21-31 (2022) - [c22]Zhongkai Wang, Minsoo Choi, Paul Kwon, Kyoungtae Lee, Bozhi Yin, Zhaokai Liu, Kwanseo Park, Ayan Biswas, Jaeduk Han, Sijun Du, Elad Alon:
A 200Gb/s PAM-4 Transmitter with Hybrid Sub-Sampling PLL in 28nm CMOS Technology. VLSI Technology and Circuits 2022: 34-35 - [i7]Jingyi Shen, Haoyu Li, Jiayi Xu, Ayan Biswas, Han-Wei Shen:
IDLat: An Importance-Driven Latent Generation Method for Scientific Data. CoRR abs/2208.03345 (2022) - [i6]Arijit Saha, Ayan Biswas:
An efficient PMOS-based LDO design for large loads. CoRR abs/2209.12726 (2022) - 2021
- [j13]Ayan Biswas, James P. Ahrens, Soumya Dutta, Jordan M. Musser, Ann S. Almgren, Terece L. Turton:
Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case. Comput. Sci. Eng. 23(1): 75-82 (2021) - [j12]Tuhin Subhra Roy, Mintu Nandi, Ayan Biswas, Pinaki Chaudhury, Suman K. Banik:
Information transmission in a two-step cascade: interplay of activation and repression. Theory Biosci. 140(3): 295-306 (2021) - [j11]Ayan Biswas, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James P. Ahrens:
Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis. IEEE Trans. Vis. Comput. Graph. 27(12): 4439-4454 (2021) - [c21]Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan M. Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence:
Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. IEEE BigData 2021: 3731-3739 - [c20]Divya Banesh, Natalie Klein, Steven Morley, Ayan Biswas, Vania Jordanova, Michael Henderson, Earl Lawrence:
Topological Segmentation and Tracking for Space Weather Modeling. IEEE BigData 2021: 3784-3788 - [c19]Zhongkai Wang, Minsoo Choi, Eric Chang, John Charles Wright, Wooham Bae, Sijun Du, Zhaokai Liu, Nathan Narevsky, Colin Schmidt, Ayan Biswas, Borivoje Nikolic, Elad Alon:
An Automated and Process-Portable Generator for Phase-Locked Loop. DAC 2021: 511-516 - [c18]Subhashis Hazarika, Ayan Biswas, Earl Lawrence, Philip J. Wolfram:
Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data. EnvirVis@EuroVis 2021: 9-15 - [c17]Abraham Gonzalez, Jerry Zhao, Ben Korpan, Hasan Genc, Colin Schmidt, John Charles Wright, Ayan Biswas, Alon Amid, Farhana Sheikh, Anton Sorokin, Sirisha Kale, Mani Yalamanchi, Ramya Yarlagadda, Mark Flannigan, Larry Abramowitz, Elad Alon, Yakun Sophia Shao, Krste Asanovic, Borivoje Nikolic:
A 16mm2 106.1 GOPS/W Heterogeneous RISC-V Multi-Core Multi-Accelerator SoC in Low-Power 22nm FinFET. ESSCIRC 2021: 259-262 - [c16]Minsoo Choi, Zhongkai Wang, Kyoungtae Lee, Kwanseo Park, Zhaokai Liu, Ayan Biswas, Jaeduk Han, Elad Alon:
8 An Output-Bandwidth-Optimized 200Gb/s PAM-4 100Gb/s NRZ Transmitter with 5-Tap FFE in 28nm CMOS. ISSCC 2021: 128-130 - [c15]Soumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan M. Urban:
In Situ Climate Modeling for Analyzing Extreme Weather Events. ISAV@SC 2021: 18-23 - [c14]Michael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan M. Urban:
In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes. ISAV@SC 2021: 31-36 - [c13]Yu Wang, Natalie Klein, Steven Morley, Vania Jordanova, Michael Henderson, Ayan Biswas, Earl Lawrence:
TributaryPCA: Distributed, Streaming PCA for In Situ Dimension Reduction with Application to Space Weather Simulations. DRBSD@SC 2021: 33-39 - [i5]Sarika Mishra, Ayan Biswas, Satyajeet Patil, Pooja Chandravanshi, Vardaan Mongia, Tanya Sharma, Anju Rani, Shashi Prabhakar, Ravindra Pratap Singh:
BBM92 quantum key distribution over a free space dusty channel of 200 meters. CoRR abs/2112.11961 (2021) - 2020
- [j10]Ayan Biswas, Christopher M. Biwer, David J. Walters, James P. Ahrens, Devin Francom, Earl Lawrence, Richard L. Sandberg, D. Anthony Fredenburg, Cynthia Bolme:
An Interactive Exploration Tool for High-Dimensional Datasets: A Shock Physics Case Study. Comput. Sci. Eng. 22(2): 44-54 (2020) - [c12]Megan Hickman Fulp, Ayan Biswas, Jon C. Calhoun:
Combining Spatial and Temporal Properties for Improvements in Data Reduction. IEEE BigData 2020: 2654-2663 - [c11]Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Arvind T. Mohan, Ayan Biswas, John Patchett, Terece L. Turton, David H. Rogers, Daniel Livescu, James P. Ahrens:
Foresight: analysis that matters for data reduction. SC 2020: 83 - [c10]Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban:
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. IEEE VIS (Short Papers) 2020: 41-45 - [i4]Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban:
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. CoRR abs/2008.13306 (2020)
2010 – 2019
- 2019
- [j9]Soumya Dutta, Ayan Biswas, James P. Ahrens:
Multivariate Pointwise Information-Driven Data Sampling and Visualization. Entropy 21(7): 699 (2019) - [j8]Daniel Orban, Daniel F. Keefe, Ayan Biswas, James P. Ahrens, David H. Rogers:
Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space. IEEE Trans. Vis. Comput. Graph. 25(1): 256-266 (2019) - [j7]Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Ayan Biswas, Kaushik Roy, Shreyas Sen:
Exploiting Inherent Error Resiliency of Deep Neural Networks to Achieve Extreme Energy Efficiency Through Mixed-Signal Neurons. IEEE Trans. Very Large Scale Integr. Syst. 27(6): 1365-1377 (2019) - [i3]Soumya Dutta, Ayan Biswas, James P. Ahrens:
Multivariate Pointwise Information-Driven Data Sampling and Visualization. CoRR abs/1907.11762 (2019) - [i2]Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas:
Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. CoRR abs/1912.03587 (2019) - 2018
- [j6]Subhashis Hazarika, Ayan Biswas, Soumya Dutta, Han-Wei Shen:
Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets. Entropy 20(7): 540 (2018) - [j5]Subhashis Hazarika, Ayan Biswas, Han-Wei Shen:
Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models. IEEE Trans. Vis. Comput. Graph. 24(1): 934-943 (2018) - [c9]Matthew Larsen, Amy Woods, Nicole Marsaglia, Ayan Biswas, Soumya Dutta, Cyrus Harrison, Hank Childs:
A flexible system for in situ triggers. ISAV@SC 2018: 1-6 - [c8]Ayan Biswas, Soumya Dutta, Jesus Pulido, James P. Ahrens:
In situ data-driven adaptive sampling for large-scale simulation data summarization. ISAV@SC 2018: 13-18 - [c7]Ayan Biswas, Kelly R. Moran, Earl Lawrence, James P. Ahrens:
Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators. SciVis 2018: 47-51 - [i1]Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Ayan Biswas, Kaushik Roy, Shreyas Sen:
Exploiting Inherent Error-Resiliency of Neuromorphic Computing to achieve Extreme Energy-Efficiency through Mixed-Signal Neurons. CoRR abs/1806.05141 (2018) - 2017
- [j4]Ayan Biswas, Guang Lin, Xiaotong Liu, Han-Wei Shen:
Visualization of Time-Varying Weather Ensembles across Multiple Resolutions. IEEE Trans. Vis. Comput. Graph. 23(1): 841-850 (2017) - [j3]Sumantra Sarkar, Ayan Biswas, Anindya Sundar Dhar, Rahul M. Rao:
Adaptive Bus Encoding for Transition Reduction on Off-Chip Buses With Dynamically Varying Switching Characteristics. IEEE Trans. Very Large Scale Integr. Syst. 25(11): 3057-3066 (2017) - [c6]Soumya Dutta, Xiaotong Liu, Ayan Biswas, Han-Wei Shen, Jen-Ping Chen:
Pointwise information guided visual analysis of time-varying multi-fields. SIGGRAPH Asia Symposium on Visualization 2017: 17:1-17:8 - 2016
- [c5]Ayan Biswas, Richard Strelitz, Jonathan Woodring, Chun-Ming Chen, Han-Wei Shen:
A Scalable Streamline Generation Algorithm Via Flux-Based Isocontour Extraction. EGPGV@EuroVis 2016: 69-78 - 2015
- [j2]Tzu-Hsuan Wei, Chun-Ming Chen, Ayan Biswas:
Efficient Local Histogram Searching via Bitmap Indexing. Comput. Graph. Forum 34(3): 81-90 (2015) - [c4]Chun-Ming Chen, Ayan Biswas, Han-Wei Shen:
Uncertainty modeling and error reduction for pathline computation in time-varying flow fields. PacificVis 2015: 215-222 - [c3]Ayan Biswas, David S. Thompson, Wenbin He, Qi Deng, Chun-Ming Chen, Han-Wei Shen, Raghu Machiraju, Anand Rangarajan:
An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity. PacificVis 2015: 223-230 - 2014
- [c2]Yu Su, Gagan Agrawal, Jonathan Woodring, Ayan Biswas, Han-Wei Shen:
Supporting correlation analysis on scientific datasets in parallel and distributed settings. HPDC 2014: 191-202 - [c1]Ayan Biswas, Han-Wei Shen:
Evaluation of stream surfaces using error quantification metrics. Visualization and Data Analysis 2014: 90170Z - 2013
- [j1]Ayan Biswas, Soumya Dutta, Han-Wei Shen, Jonathan Woodring:
An Information-Aware Framework for Exploring Multivariate Data Sets. IEEE Trans. Vis. Comput. Graph. 19(12): 2683-2692 (2013)
Coauthor Index
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