Bharath Sudharsan

38 papers A* 3B 3Misc 3Journal 6Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	DART: Device-Native Adaptive Real-Time Training for Lifelong Learning on IoT Boards. IEEE Big Data Shamil Al-Ameen, Bharath Sudharsan, Osamah Alzacko, Roua Al-Taie, Tejal Shah, Rajiv Ranjan
2024	B	`conf`	LEAP: Lifelong Learning Edge-Cloud Adaptive Fused Framework for Mobility Prediction. IEEE Big Data Shamil Al-Ameen, Bharath Sudharsan, Roua Al-Taie, Tejal Shah, Rajiv Ranjan
2024	B	`conf`	Poly Instance Recurrent Neural Network for Real-time Lifelong Learning at the Low-power Edge. IEEE Big Data Shamil Al-Ameen, Bharath Sudharsan, Tejus Vijayakumar, Tomasz Szydlo, Tejal Shah, Rajiv Ranjan
2023	Misc	`conf`	Tiny-Impute: A Framework for On-device Data Quality Validation, Hybrid Anomaly Detection, and Data Imputation at the Edge. UCC Shamil Al-Ameen, Bharath Sudharsan, Tomasz Szydlo, Roua Al-Taie, Tejal Shah, Rajiv Ranjan
2022	Misc	`conf`	ElastiQuant: elastic quantization strategy for communication efficient distributed machine learning in IoT. SAC Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali, Peter Corcoran, Rajiv Ranjan
2022	J	`jnl`	ML-MCU: A Framework to Train ML Classifiers on MCU-Based IoT Edge Devices. IEEE Internet Things J. Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali
2022	J	`jnl`	Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware. CoRR Bharath Sudharsan, Dineshkumar Sundaram, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali, Schahram Dustdar, Albert Y. Zomaya, Rajiv Ranjan
2022	J	`jnl`	OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices. IEEE Internet Comput. Bharath Sudharsan, John G. Breslin, Mehreen Tahir, Muhammad Intizar Ali, Omer F. Rana, Schahram Dustdar, Rajiv Ranjan
2022	—	`conf`	Poster Abstract: Approach for Remote, On-Demand loading and Execution of TensorFlow Lite ML Models on Arduino IoT Boards. IPSN Bharath Sudharsan, Simone Salerno, Piyush Yadav, John G. Breslin
2022	—	`conf`	Poster Abstract: Embedded ML Pipeline for Precision Agriculture. IPSN Dhruv Sheth, Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali
2022	—	`conf`	RIS-IoT: Towards Resilient, Interoperable, Scalable IoT. ICCPS Bharath Sudharsan, Panchakarla S. Rahul, Piyush Yadav, Suneet Kumar Gupta, Vimal Kumar, Duc-Duy Nguyen, Muhammad Intizar Ali, John G. Breslin
2022	J	`jnl`	Smart speaker design and implementation with biometric authentication and advanced voice interaction capability. CoRR Bharath Sudharsan, Peter Corcoran, Muhammad Intizar Ali
2022	A*	`conf`	TMM-TinyML: tensor memory mapping (TMM) method for tiny machine learning (TinyML). MobiCom Bharath Sudharsan, Sonu Prasad, Dan Jose, John G. Breslin
2022	—	`conf`	TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices. PerCom Workshops Kavya Kopparapu, Eric Lin, John G. Breslin, Bharath Sudharsan
2022	A*	`conf`	TinyML-CAM: 80 FPS image recognition in 1 kB RAM. MobiCom Bharath Sudharsan, Simone Salerno, Rajiv Ranjan
2022	A*	`conf`	Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract). AAAI Bharath Sudharsan
2021	—	`conf`	Air Quality Sensor Network Data Acquisition, Cleaning, Visualization, and Analytics: A Real-world IoT Use Case. UbiComp/ISWC Adjunct Federica Rollo, Bharath Sudharsan, Laura Po, John G. Breslin
2021	—	`conf`	An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware. SCC Bharath Sudharsan, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali
2021	—	`conf`	Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices. PerCom Workshops Bharath Sudharsan, Dineshkumar Sundaram, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali
2021	Misc	`conf`	ElastiCL: Elastic Quantization for Communication Efficient Collaborative Learning in IoT. SenSys Bharath Sudharsan, Dhruv Sheth, Shailesh Arya, Federica Rollo, Piyush Yadav, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali
2021	—	`conf`	Enabling Machine Learning on the Edge Using SRAM Conserving Efficient Neural Networks Execution Approach. ECML/PKDD (5) Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali
2021	—	`conf`	Ensemble Methods for Collective Intelligence: Combining Ubiquitous ML Models in IoT. IEEE BigData Bharath Sudharsan, Piyush Yadav, Duc-Duy Nguyen, Jefkine Kafunah, John G. Breslin
2021	—	`conf`	GNOSIS- query-driven multimodal event processing for unstructured data streams. Middleware Demos/Posters Piyush Yadav, Dhaval Salwala, Bharath Sudharsan, Edward Curry
2021	—	`conf`	Globe2Train: A Framework for Distributed ML Model Training using IoT Devices Across the Globe. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali
2021	—	`conf`	Imbal-OL: Online Machine Learning from Imbalanced Data Streams in Real-world IoT. IEEE BigData Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali
2021	—	`conf`	OWSNet: Towards Real-time Offensive Words Spotting Network for Consumer IoT Devices. WF-IoT Bharath Sudharsan, Sweta Malik, Peter Corcoran, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali
2021	—	`conf`	Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT: Demo Abstract. IoTDI Bharath Sudharsan, Pankesh Patel, Abdul Wahid, Muhammad Yahya, John G. Breslin, Muhammad Intizar Ali
2021	—	`conf`	SRAM optimized porting and execution of machine learning classifiers on MCU-based IoT devices: demo abstract. ICCPS Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali
2021	—	`conf`	TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers. WF-IoT Bharath Sudharsan, Simone Salerno, Duc-Duy Nguyen, Muhammad Yahya, Abdul Wahid, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali
2021	J	`jnl`	Toward Distributed, Global, Deep Learning Using IoT Devices. IEEE Internet Comput. Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali, Karan Mitra, Schahram Dustdar, Omer F. Rana, Prem Prakash Jayaraman, Rajiv Ranjan
2021	—	`conf`	Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI Bharath Sudharsan, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali
2021	—	`conf`	Ultra-fast Machine Learning Classifier Execution on IoT Devices without SRAM Consumption. PerCom Workshops Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali
2020	—	`conf`	Adaptive Strategy to Improve the Quality of Communication for IoT Edge Devices. WF-IoT Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali
2020	—	`conf`	Avoid Touching Your Face: A Hand-to-face 3D Motion Dataset (COVID-away) and Trained Models for Smartwatches. IOT Companion Bharath Sudharsan, Dineshkumar Sundaram, John G. Breslin, Muhammad Intizar Ali
2020	—	`conf`	Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices. IOT Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali
2020	—	`conf`	RCE-NN: a five-stage pipeline to execute neural networks (CNNs) on resource-constrained IoT edge devices. IOT Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali
2019	J	`jnl`	A Microphone Array and Voice Algorithm based Smart Hearing Aid. CoRR Bharath Sudharsan, Manigandan Chockalingam
2019	—	`conf`	Smart Speaker Design and Implementation with Biometric Authentication and Advanced Voice Interaction Capability. AICS Bharath Sudharsan, Peter Corcoran, Muhammad Intizar Ali