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Bharath Sudharsan
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Journal Articles
- 2022
- [j3]Bharath Sudharsan, John G. Breslin, Mehreen Tahir, Muhammad Intizar Ali, Omer F. Rana, Schahram Dustdar, Rajiv Ranjan:
OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices. IEEE Internet Comput. 26(3): 69-78 (2022) - [j2]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
ML-MCU: A Framework to Train ML Classifiers on MCU-Based IoT Edge Devices. IEEE Internet Things J. 9(16): 15007-15017 (2022) - 2021
- [j1]Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali, Karan Mitra, Schahram Dustdar, Omer F. Rana, Prem Prakash Jayaraman, Rajiv Ranjan:
Toward Distributed, Global, Deep Learning Using IoT Devices. IEEE Internet Comput. 25(3): 6-12 (2021)
Conference and Workshop Papers
- 2023
- [c29]Shamil Al-Ameen, Bharath Sudharsan, Tomasz Szydlo, Roua Al-Taie, Tejal Shah, Rajiv Ranjan:
Tiny-Impute: A Framework for On-device Data Quality Validation, Hybrid Anomaly Detection, and Data Imputation at the Edge. UCC 2023: 23 - 2022
- [c28]Bharath Sudharsan:
Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract). AAAI 2022: 13059-13060 - [c27]Bharath Sudharsan, Panchakarla S. Rahul, Piyush Yadav, Suneet Kumar Gupta, Vimal Kumar, Duc-Duy Nguyen, Muhammad Intizar Ali, John G. Breslin:
RIS-IoT: Towards Resilient, Interoperable, Scalable IoT. ICCPS 2022: 296-297 - [c26]Bharath Sudharsan, Simone Salerno, Piyush Yadav, John G. Breslin:
Poster Abstract: Approach for Remote, On-Demand loading and Execution of TensorFlow Lite ML Models on Arduino IoT Boards. IPSN 2022: 521-522 - [c25]Dhruv Sheth, Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Poster Abstract: Embedded ML Pipeline for Precision Agriculture. IPSN 2022: 527-528 - [c24]Bharath Sudharsan, Simone Salerno, Rajiv Ranjan:
TinyML-CAM: 80 FPS image recognition in 1 kB RAM. MobiCom 2022: 862-864 - [c23]Bharath Sudharsan, Sonu Prasad, Dan Jose, John G. Breslin:
TMM-TinyML: tensor memory mapping (TMM) method for tiny machine learning (TinyML). MobiCom 2022: 865-867 - [c22]Kavya Kopparapu, Eric Lin, John G. Breslin, Bharath Sudharsan:
TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices. PerCom Workshops 2022: 79-81 - [c21]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali, Peter Corcoran, Rajiv Ranjan:
ElastiQuant: elastic quantization strategy for communication efficient distributed machine learning in IoT. SAC 2022: 246-254 - 2021
- [c20]Bharath Sudharsan, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali:
An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware. SCC 2021: 319-328 - [c19]Bharath Sudharsan, Piyush Yadav, Duc-Duy Nguyen, Jefkine Kafunah, John G. Breslin:
Ensemble Methods for Collective Intelligence: Combining Ubiquitous ML Models in IoT. IEEE BigData 2021: 1960-1963 - [c18]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Imbal-OL: Online Machine Learning from Imbalanced Data Streams in Real-world IoT. IEEE BigData 2021: 4974-4978 - [c17]Federica Rollo, Bharath Sudharsan, Laura Po, John G. Breslin:
Air Quality Sensor Network Data Acquisition, Cleaning, Visualization, and Analytics: A Real-world IoT Use Case. UbiComp/ISWC Adjunct 2021: 67-68 - [c16]Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
SRAM optimized porting and execution of machine learning classifiers on MCU-based IoT devices: demo abstract. ICCPS 2021: 223-224 - [c15]Bharath Sudharsan, Pankesh Patel, Abdul Wahid, Muhammad Yahya, John G. Breslin, Muhammad Intizar Ali:
Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT: Demo Abstract. IoTDI 2021: 265-266 - [c14]Piyush Yadav, Dhaval Salwala, Bharath Sudharsan, Edward Curry:
GNOSIS- query-driven multimodal event processing for unstructured data streams. Middleware Demos/Posters 2021: 16-17 - [c13]Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
Ultra-fast Machine Learning Classifier Execution on IoT Devices without SRAM Consumption. PerCom Workshops 2021: 316-319 - [c12]Bharath Sudharsan, Dineshkumar Sundaram, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices. PerCom Workshops 2021: 680-685 - [c11]Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
Enabling Machine Learning on the Edge Using SRAM Conserving Efficient Neural Networks Execution Approach. ECML/PKDD (5) 2021: 20-35 - [c10]Bharath Sudharsan, Dhruv Sheth, Shailesh Arya, Federica Rollo, Piyush Yadav, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
ElastiCL: Elastic Quantization for Communication Efficient Collaborative Learning in IoT. SenSys 2021: 382-383 - [c9]Bharath Sudharsan, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali:
Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 97-106 - [c8]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Globe2Train: A Framework for Distributed ML Model Training using IoT Devices Across the Globe. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 107-114 - [c7]Bharath Sudharsan, Sweta Malik, Peter Corcoran, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
OWSNet: Towards Real-time Offensive Words Spotting Network for Consumer IoT Devices. WF-IoT 2021: 83-88 - [c6]Bharath Sudharsan, Simone Salerno, Duc-Duy Nguyen, Muhammad Yahya, Abdul Wahid, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali:
TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers. WF-IoT 2021: 883-884 - 2020
- [c5]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
RCE-NN: a five-stage pipeline to execute neural networks (CNNs) on resource-constrained IoT edge devices. IOT 2020: 5:1-5:8 - [c4]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices. IOT 2020: 6:1-6:8 - [c3]Bharath Sudharsan, Dineshkumar Sundaram, John G. Breslin, Muhammad Intizar Ali:
Avoid Touching Your Face: A Hand-to-face 3D Motion Dataset (COVID-away) and Trained Models for Smartwatches. IOT Companion 2020: 7:1-7:9 - [c2]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Adaptive Strategy to Improve the Quality of Communication for IoT Edge Devices. WF-IoT 2020: 1-6 - 2019
- [c1]Bharath Sudharsan, Peter Corcoran, Muhammad Intizar Ali:
Smart Speaker Design and Implementation with Biometric Authentication and Advanced Voice Interaction Capability. AICS 2019: 305-316
Informal and Other Publications
- 2022
- [i3]Bharath Sudharsan, Dineshkumar Sundaram, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali, Schahram Dustdar, Albert Y. Zomaya, Rajiv Ranjan:
Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware. CoRR abs/2204.10183 (2022) - [i2]Bharath Sudharsan, Peter Corcoran, Muhammad Intizar Ali:
Smart speaker design and implementation with biometric authentication and advanced voice interaction capability. CoRR abs/2207.10811 (2022) - 2019
- [i1]Bharath Sudharsan, Manigandan Chockalingam:
A Microphone Array and Voice Algorithm based Smart Hearing Aid. CoRR abs/1908.07324 (2019)
Coauthor Index
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