Bharath Sudharsan

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 35

Top Topics

Anomaly Detection

Learning From Imbalanced Data

Precision Agriculture

Biometric Authentication

Top Venues

PerCom Workshops

IEEE Internet Comput.

Publications

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)
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 (2022)
Bharath Sudharsan, Sonu Prasad, Dan Jose, John G. Breslin
TMM-TinyML: tensor memory mapping (TMM) method for tiny machine learning (TinyML). MobiCom (2022)
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) (2022)
Kavya Kopparapu, Eric Lin, John G. Breslin, Bharath Sudharsan
TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices. PerCom Workshops (2022)
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)
Bharath Sudharsan, Peter Corcoran, Muhammad Intizar Ali
Smart speaker design and implementation with biometric authentication and advanced voice interaction capability. CoRR (2022)
Dhruv Sheth, Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali
Poster Abstract: Embedded ML Pipeline for Precision Agriculture. IPSN (2022)
Bharath Sudharsan, Simone Salerno, Rajiv Ranjan
TinyML-CAM: 80 FPS image recognition in 1 kB RAM. MobiCom (2022)
Bharath Sudharsan
Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract). AAAI (2022)
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)
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)
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) (2022)
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)
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) (2021)
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)
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)
Piyush Yadav, Dhaval Salwala, Bharath Sudharsan, Edward Curry
GNOSIS- query-driven multimodal event processing for unstructured data streams. Middleware Demos/Posters (2021)
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)
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)
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)
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)
Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali
Imbal-OL: Online Machine Learning from Imbalanced Data Streams in Real-world IoT. IEEE BigData (2021)
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)
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)
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)
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)
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)
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)
Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali
Adaptive Strategy to Improve the Quality of Communication for IoT Edge Devices. WF-IoT (2020)
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)
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)
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)
Bharath Sudharsan, Peter Corcoran, Muhammad Intizar Ali
Smart Speaker Design and Implementation with Biometric Authentication and Advanced Voice Interaction Capability. AICS (2019)
Bharath Sudharsan, Manigandan Chockalingam
A Microphone Array and Voice Algorithm based Smart Hearing Aid. CoRR (2019)